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LatinTableauConjecture

Specification

The Latin Tableau Conjecture: If G is the simple graph of a Young diagram, then G is CDS-colorable.

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Lean 4 Statement
theorem LatinTableauConjecture (μ : YoungDiagram) :
     μ.toSimpleGraph.CDSColorable
ID: Paper__LatinTableau__LatinTableauConjecture
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Evaluation Results

Recent Submissions

Model Status Goals Left Submitted Lean Snippet Output
GPT-5.3 Codex Agent v8 Failed -- Feb 26, 2026
have h : μ.toSimpleGraph.CDSColorable := ?_ exact h
View
{
  "agent_telemetry": {
    "compilations": 10,
    "iterations": 10,
    "duration_s": 758.54,
    "best_status": "failed",
    "best_goals": null,
    "max_iterations": 10,
    "model": "openai/gpt-5.3-codex",
    "error": null,
    "provider": "openrouter_primary",
    "finish_reason": "stop",
    "usage": {
      "prompt_tokens": 105776,
      "completion_tokens": 30100,
      "total_tokens": 135876,
      "reasoning_tokens": 29453,
      "cost_usd": 0.5040952
    },
    "reasoning_effort": "high",
    "response_trace_count": 28
  },
  "response_trace": [
    {
      "iteration": 1,
      "provider": "openrouter_primary",
      "finish_reason": "tool_calls",
      "response_id": "gen-1772077284-vqWHvaUAHsCFjMKlFuMU",
      "api_elapsed_s": 4.514,
      "usage": {
        "prompt_tokens": 1484,
        "completion_tokens": 269,
        "total_tokens": 1753,
        "reasoning_tokens": 231,
        "cost_usd": 0.0047502
      },
      "openrouter_retries": 0,
      "response_text_len": 0,
      "used_tool_call": true,
      "reasoning_text": "**Initiating theorem proof attempt**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Initiating theorem proof attempt**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc0e4aa108193a94a65e3dce5a386",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": "gAAAAABpn8DoZTWbF8gk4eOZB6OBhFX3_2Ct4v2PT7tho-2CQY6oXmffY_1PtHyvJdVXy99-ur_hMGKd6XF7lfIrgy9jJh6Fr31E3f07i49rkVyQ6VHDohtQasMKGurMyaUBxIUnolzbcspzmSPy43PTFjUmS3vpZvzXABtQgpyYkalkXYCO5EfuJ80PRjaGF8QRBglZtF0GSNcXceujmmX2ls98-hDdIZcSsmeqwpc9uVzaqpeKByJjprLorrAD1OS6Zg5FVxcUq5vAxkWzNgg62s3G15A5MOjF_ltdunny264nuHE5Gj3yC9-8OlfNqJquCYlu2miTE1rDKPK07L85IyQmUymNDfxdB72y6WFB6AuyMak6ip0UJeJsXbEZpxc8tKUY4Lhint-asrrisdiopf-XXigqnytTv4nl0EiHLM8aDS8tzc9junn88Vyu5SHojfMdVeDuuKXXKrIt-IS1LKMXN9jZFB1tBpV-2sYm7IttIylk7SqSsk9sQR3aZRYGXgxY39rIvAETX2oZCDwbrw_jggRR6mCQIK9TOrS6BqDB_XgQBQXRuGAxqKa8368MPL9lB4BzVtDtGErAf9lnF8mE3bcqczfmWdAI7JBoFaPHpT0oL32-5ONsMixOelDkjTePTEU7hG7W4J5OCErUV3UEk3C-KW5KGhGQIMhPxMvgOr1BPa7iNBkblcc_pB26yuprGQiE-AgayhONCHlMNPSeSncafM4t0l-_4GztNNGc3pPlE9GyUUpvg7jQJbO8a_pKBz-n0mmHlnaLvB_7SELt8BNUE-LkpjtMmNn4D3H7jkujvtMywOFGeH2iyRgiE2wRPBKarHWRnuRsA7EneGNSMP2B2DYb7b0VpgE6U89TkLe4-TAI5GtItD6TAUjpE8Osf6W5ycjF_z6_pyOBVy-O5gucmxgKSTYO4Fj1VMq3deOGClAUiDwRPN-uKGCYCTUdLtMjCeLknEISDi_DOwsonBuplykpSR7Z7u5iN1PlkzPvg_GGYyOqb7rIBSUgRbia4n2aDAjiRg5MeT78vhHr5mRoYxsjKAlcS79rTJNz0xuYFR5AkhXC-zU8-dybzuEBRwRXvU_A2lnd_8iOOeKc0fa6NX9tXHWQazu_QM_MBB9P2bnsaQLdST7fJ-nADum98ltgnabRWm0gTmTWXQJTZ7KIoPBlEHaTzPHIwevj0itDFs_AD4LFlszowrQobVspu9WQgxLZWaQ1w9DPIRPScSpaL2FX-2tgp1_4NNmczLixYmdYHkziYWCeygToK9yg7xnhHkoBfaFVjlbfjDv-sb3CmNylU9ZflUW7PphNKmWMkIznIbBNJaPHknCkhfbXnqWH4S_rNDnNQ2hRArix2SfL5sigSyQrVfuZMaTZQ0ZfNE7e5BjvRY1ljTrAXk9f-uruPc_PPyMyMhVQVqaZ9BxaHuR9O-uroc7dvQqt3Z50qeigmhfE_mpza26Qg9HtPoi4ggBqULe-oK2RCZh2l9xPmBDkciWDwvkNuJWnso3EEMsqicNQReStWfXvur_9sqoqxR34ssA1V2IDCbOfPDkMQStHA69t3ROc6PyzJ6OW-GrgX8QF07-7azLnUHWPzyPqOwQfQuqI3voVMAx3Ai770n8cbx7A10OA4Q52scIwmegEYpU-W3TmjofmSQLRm2y1XbUSorTN-cT5J7tNuIWKimbzYWz7oPHY4W111-mTia1prrEzmpMhfPG0Z6keCf9AOHOBLesc5DEC1x_3i9zBp1Xm7iWaftFNtucIyaxD0Ec2xwgwWzgW48pI26L-STl-VRCiyLZxG2fFlGy0VhU3QN97QIX_plxpiKpsTcGjCTTvfj8UKdd6K5O7SnubavI9r4Qw-yaJT30MnB8-ASfweeeR70mUPbahA77uu9Wy11eJbE0_-zeO9-kygpiuZBf4rizcQPkZos8GrB0-7rFmm0XD8NmivKSlTTj72kJW_6DXqohTVWNmKOflDEFogqMsxcnCWJBau1EjChizC_IFdA6hZ0oy4d_DBaDfbj9rX8cYITtY_lw4HZi04LH4T8Av5eU5mTT8PY4ozKMUoL-VWjJldGLNkFnR2zjC9yOP9-LBSAttB5Uwr2k3OqEz4BHWrdOyP9rzVMR9wosTgc2B4dh3uXv2z_-kUMPuVWgm_rLRjW7WOlzSzBli2Q_TbqfXuVY40oiHUffZWPRsmFaIPMjZDPv2DAi4-fJvTYeo0nlExwnw5nWXPc_qcpHp2_Leh2mzWSM8l5jwNuueMHiERvwYMEJl485EZ-EObd6c3NiU7r927WpIwTcf01uLH9tvufNpnhPWHy8Zbqy8QoV7FVer9oiFlFpfLk7wMjRTkCXsV58NSRPROYflA0zaP2zT"
        }
      ]
    },
    {
      "iteration": 1,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "have h : \u03bc.toSimpleGraph.CDSColorable := ?_\nexact h",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.247
    },
    {
      "iteration": 1,
      "event": "search_mathlib",
      "query": "CDSColorable",
      "results_count": 0
    },
    {
      "iteration": 2,
      "provider": "openrouter_primary",
      "finish_reason": "tool_calls",
      "response_id": "gen-1772077315-urI4s0Qv5JStgVkzKmRl",
      "api_elapsed_s": 1.942,
      "usage": {
        "prompt_tokens": 2730,
        "completion_tokens": 80,
        "total_tokens": 2810,
        "reasoning_tokens": 56,
        "cost_usd": 0.0018655
      },
      "openrouter_retries": 0,
      "response_text_len": 0,
      "used_tool_call": true,
      "reasoning_text": "**Retrying context inspection with different code**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Retrying context inspection with different code**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc103ac7c8193aa6d90b9243656dc",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": "gAAAAABpn8EEPe8n0dxW1_9HgbA5tFEuE6CzyQbfMrgMsFIqBs1b5YMAGda8verCmYDAbAMihDdsb2zY-nOcOie9dz0LNyC6d3SkHwqSGwPfT0nrf0edHMeFc2fW1Tga6YiUwQ6T8qjMi60MM266M36eUE4bLwdsC_pJEj5W0oDyVnd6jQySZe_lhqaI7ZvhCYxNp6NdMK1jDs7EpQGpQxpAtVisPbbfynoyttk9H9Y2pmmLC13xE6KKxVPSQThXKCHGFxMNOP6NJnVYCwXZQ9uHu7NriIKhhc-WLYpKEO2UoZlHlqPsXdqkhLe0lrlJlrX4_Yge3l_r3v-54PtLvmSANB9gSL8JC1j0er17lwHcjqxiXwhp0X-H60Aw3FmMvP8-bypFlN9wNAIES0FKVeVAGgnYaZA1YyiYReK0CEwSCVp2L5upkTiJJya4kD3Zvbs8HNTp3jUv8pQLFEHZptIbPMwXXk5Iw9cOXl2glDl2zKL4IED62TN4C0eI7fY8gnGa1i0rzJcygn-DmWxagkzw2zBk5znbf9H3RlJOGU8QGO9MKabSGnN91ZUOkXoEenVZUmhHrsPKtjcMEoO30efBtBVS58oT6bcs9LlfwUBt8BzEsoMBAjKhjWnMhamz5CfFMB0m5GH1wEz1f-NxXbaDJmRVBl1ukPStWBSLam976W-qrcyDpdAWZQXpCdF26Of3baUHpfhSlmfGCtSJZrgFHCBLGxCCfAd7uCIY_jdukq3FPyBIR3Vx-ZVaif57Pn1ud0tEWjOot7fWL8A1bTdlsK96E8zse7AhCzH8MYGdBfRA-u6qB1RC27qHSKPg-2_fu_22aFWBWJ25riXpqZa-7_TSkriInrejwceVm3qbf04EAoYgmeld9O-4AKoY8612HagFx2q2pR2sqNcZtpSP9L66d2fmM-Kn4K5LmLrEBxaHEIoGZPn9KXa1lkxWHceIekYVVwgvFx9mdoIGNRBS_qLf0Kyx7WSIefxfPFMJNYWW0Pedu5MXaoAe5IqiqtJ6Z2EDTmV5PJ8dw9Z39a0s_yEjZfSZEnjo3lashNcjhWk_DkCiOdd8LP5N-2xohhT-sSQgvGaDRpUg-EuuNAVNvntNlX16VqoYywsGnvvJLGPs8g7-UnGYwoShmgEJixz0zDDwZSdh3aQS07c3xVGWpRsLnPkJgA=="
        }
      ]
    },
    {
      "iteration": 2,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "exact ?_",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 26.823
    },
    {
      "iteration": 2,
      "event": "search_mathlib",
      "query": "YoungDiagram",
      "results_count": 8
    },
    {
      "iteration": 2,
      "event": "search_mathlib",
      "query": "toSimpleGraph",
      "results_count": 8
    },
    {
      "iteration": 2,
      "event": "search_mathlib",
      "query": "latin",
      "results_count": 0
    },
    {
      "iteration": 2,
      "event": "search_mathlib",
      "query": "YoungDiagram.toSimpleGraph",
      "results_count": 8
    },
    {
      "iteration": 3,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077397-l4covZ9AenNelgqixdWa",
      "api_elapsed_s": 27.785,
      "usage": {
        "prompt_tokens": 6619,
        "completion_tokens": 1518,
        "total_tokens": 8137,
        "reasoning_tokens": 1483,
        "cost_usd": 0.02295685
      },
      "openrouter_retries": 0,
      "response_text_len": 94,
      "used_tool_call": false,
      "reasoning_text": "**Formulating robust proof tactic**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Formulating robust proof tactic**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc155e3e881939e725bebc4900507",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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        }
      ]
    },
    {
      "iteration": 3,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "have h : \u03bc.toSimpleGraph.CDSColorable := by\n  simpa using \u03bc.toSimpleGraph_CDSColorable\nexact h",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 28.218
    },
    {
      "iteration": 4,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077453-9M9u1HClF0CprZWNmZ1k",
      "api_elapsed_s": 34.636,
      "usage": {
        "prompt_tokens": 3916,
        "completion_tokens": 1697,
        "total_tokens": 5613,
        "reasoning_tokens": 1651,
        "cost_usd": 0.0289982
      },
      "openrouter_retries": 0,
      "response_text_len": 128,
      "used_tool_call": false,
      "reasoning_text": "**Providing alternative proof tactic**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Providing alternative proof tactic**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc18ddad881938cd1da4795cbd87c",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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FYSPMxFxwQinlsl97gRLqgS_QTnD8AVSKqfINh-AKksB8oPBL-QLIo_GIfQvVGB2rm-gLWBF0cfqfTwAGLy0jPK2JWcC0FyWt80gYe9B5KtZP-OUXU06mt514A4hBcInac3qHmZfV44DG4nLStzqFuc4kJqCblssKG9_TY_BqjnG23SAn4aU7d-vClfKfi75mwSFdZyfIc4kBP2skO1T5IP9mp3VCgSmY3bfZJ--K8PvtNncUNcNbWeXiQZojEC6MToh-SUo98qU4uA3QlBReQE35bqS5pqXQmq2q1JvgK2sGCqitwBBgR7hp5Kjm2AySceC2k_JQMBQp8-P1h-TqLBKBrXE8rHUJb-GNAIvYYfm-QDHNVt4v9r_mIkDfPkQ3oooXcIUNFn3ocq_NeNCmwXYNgHGxtABQY3B6t6B3YzuXv8nYxh0GkS28E873tjez7CewqzDtx6MR0FtUxsQMXpHtKddGn6kjgloDtFX1LiNarB2CMvNzitR-b309YiM7yXYUJy1iTJnTGwvGuR36l75RGEV2RoHKBzgufedZYk-f5Wo5WnuERrxUFGC-pJRkW79grYbNh8V6LtciKkQdPg7cNIbAqZAvLJ40XRJwjkXNaBVmuIWXQ9--aAznAHIHrLu8GBSgts43pOQ8a_SJUAX4U5jLkhpyNxrJzuvYXXgBLbQ1PuYGcTD9AAI7rNA_3sI7-9ElbgCzjZaOujtX7d3zJiOk7eP81Ibb5tKCcFUEe7Bhi5Dsa0uuwc0a_Ip76fbxCASCHbbeKHHP0hgeBA52U06BIMJX8gLSLmIxkPX1BVr0bRyklHX1zb5JWbOH_rzR1KCPKS5hvok_5-Ig2oSCH1072qXaMIxU34H4_VKc5a0JJCID5btenyms6Sc-WEilUlV7-OsSeph_ekMmUTvD-Q5oy_tMBx_Z4I0k28I0kYJVkzhlMK80AHp9b4TubuA3g1jxLpzfOU8afMBhZw1ecI5Am-4DWpuG_Zi1XutzJHbOdIQPOiv5UVjdL86u_1BX1eqXuHW0qQ4m3aSVaq-PiFlfw4vSmbdHuYQwcAwDxRdjOyPqn90EYmWymWM8iOhWn9WpBqatbG5akWAUjA47YGPxoH2MpfakFU9zoe9lWpG3cOdIu9qch5I4DZESuYIDeelppREBiQ3yqJyFQkwlQH48v2MffDqAdMBMdff8hrQv_iIoFLK2mhs1lWDrSBEomZ369RFVA7w2xFWTE6OIplo0M9Ldlt4RiHBIQlnItlvbVdcHWs7CqKu0EXDH54JjnyNU2H2-mN3dvZZifAuTwEdeiT4v48Phx1DXuXdlehD7wm7bxVwvj9GAVvJJfQ0JNZW7i5gTFKDo3v8GPN9pR-h08DPjd0dawxk8F6ROPFZF4m-E1GtL5ChI8eRlQTMwxidP0BR2sPbjri_rMYtK4zSpa9Mu8Ke6ACJWkgSpUYfkbn5uOuLK5Oq8NhGnUqOENsVFWRk58P7ox9osbx6P3qIlkMvXHpT3CsMw035jvSbtfR8_fa4Lrb-m_fAWJ8jHEoBCOmslWLlAHmU9KRZ6yEJKIlJ1hQYbEaUDW8RKO6OW9tB2FwPXZdGfxGGTTGzY0nb3XvYpEEjaUz7qJyRcWaShjhl15xb3fgDguswDk9DJS0xttKxDdeoOfm2VOSS5lME_-CE6NtaPKIsJGeEnQM7gcyHclEQwxf4k3-kDRsCDFaD34mxcRE2vEYUqeKaF8POqmX21-WDRcr_dItgxuwA5YPJhercP3VMbsNMA5wKzzsh8OXVvDHYdPrg7czzFI1pvNopODgz21JuHiHRvcilyYT3uRvuL6HLPiwkQ0Gau6iMZZkSbiTZ3-Iwf4iPLeiWT6QkSpNZ3W_zbevl1uLowkJ5k3CIQZ-WuD3N1C3DOjcN9P58BTIjaM2QAPbAABpCV3vIBAJVb4DvujhKgXtqYNmcaxQxIL2xe711DmXqw3wizJw5S-E0ONGxx5vW6LLyI5hAscazMOYHoo49Z7BJj1NfrHeH791L_9r54LOLtXPbq7xjEJkTQ-Vs8zUs7BWaKYnWilK-R00Eb15PTJEg9NsdmydKvmXtd_KavE9BhDtfJKdNoq7gnddbK0H7FtwyIQCny107TrgJfJldrOCPkcEtTh7IgT8oQXlqqyGT3wM4mndCpnvCPv4VC8B5LTAJDg_uSuymeDqYJEpsyarUgb4XMEmZnAtKf6ncrYpqnchwpzsMRRej9O-8soCjDOiJ80jRtdzINGEHxeDB6YNiRAxCvJHB0EDPhqa8CO1GtYAs7qBgJN7AR1nKhy1nz82x9VFO5BI1GjzXb6p1IO6d8s9dOsjXA2ley0iG2_fUTt6gAAkFulbLXqjzwOGnsNi3W9Bcz60X0ujNY1M6UGeIOnZPPAl2-iC6IjEur_hQjANzrYiVe1zWG3Nv0SVSNGUKpYiq54iuJTccJHYQvrLtL_a2KAeLFsU0-j_Ut32rwoWmlfsuOpo18H1Cz_jKdF0nCbx1rcf_Zfy-HuIMCKcGaciAHboE7UxtTlQ8SHrWzmHI4gC7aseG3UXJANMsJE8L6dqg5QO0UA4B_9AEQukkW-YnZDcPchQUlaD2iDWxxeismDUtToDRbfrb-PYUNUHqOmJXTrX5hYxBEXpIDck4jvKMkFgGEWWIR1NU7SFcpxuTPRFo2-hoUxuxnnKz-9Mpvz_LQaPJKJu1xvJq4dRGo-Jz3sohJ6mB8ZMS0xDtGFflCV7uk8SeL4aM7mSkBMpLchMmgJM11IPZ4mvZC1kr0H6kXjE7F3mOZGH1gtIkhOps4ce_XOw2rEbXIo2VSH8Qgqm2WbdS1hpHjDSxiMq9tTWwG7TghBXbWZHZVDv4RfDv3Sw8_fKZ16M6IXaue3rwZGdcU_fWD5MMJHi5aZZgVw984Grkxxj_-ibInsuEsNK6h1Vy31cRRzppDBGwSMArk1UsCs9ZLtjAynbAgUj1LuxTycn_k3W8w0L_lKrJiy7AiZ9UUIFhzKfWTWCMnmATWlT4KB7PDuOq8AT-BmQLUs0SCK3EprbEgZSju8dyHL14qxhIEGfgpE_VEroWF0RN8JMOtz8IfwU2jkETFTTz25mJRTplwPk6GvRhBPem0XClfBjylGeZY5a1JBwucau5cHWddF4YWKvf4k9Avs4J2Oabxph7vKDlAIQfVp7cIQvMitJDwdiIs168ZoWPWdfzR7-VxhUiDeQbJdIY30lBIQQK3m9vyMuuLJ03wkkdVnxtSq1yiZy7hBhjJ0mX1AAbsgOQ7ujgNymiRQEblvtrgPxPhDKklJ4ZoEZfIMY5lKYpuS3KqdL1j5u4ZSqLz6OofV45KvOvAmaARSNbyp_pyDX6Bb84ixavbsTsfpjf-5sqof8JtDDdeP7odcetDriJrG2YTDwOUPTpekEWixSJWYmZrSVZYjr-qgRvMpmdbJtD77yqdbfnv9nzNh-ly1ONrKUy10VBasaFgxWpQs-ycRTXMXMqYWtCaIL4NoOM_O5ldk5LN8MQWHZOr6RfxNH3CVYL7z4zF8pX_5YmggItKi-pyUzcJxO1beTApsLVmytrq0NsDoYSCd_lIbI3LMMLDr1UoGGnQzZdkyjvv1-hwROhDLeE5BuG72Oq6guLUalRjBAin0Ys5WjydNcYmbE1w8PBkizVDMBTKB8dA2GaPuR9hjQ_sx5nATj4ynDPLqF7J-Gcn2zFHX7015F23MDxUWpI1KgI6PAFAvwOGmNwSMLk5IFpHkd1seKQISu1sHtuORaAuySEXLPwut2DJa_fWIGzR9QUI6xeN4wLuXd6hVSqV3tNJedFrb8e6y0npnWz-lV9YmmuYyyl7eVdrAHKwDYrUSsEJOSG1tjozkNDK3iCRJeOLFhM8JEMKLgbT2qHYSF1UMkne8wUDQl_lH7wOoabXfB-BMIdyIIxALbRFOi13lqI2bZbuO9WRt6on_8HhwRbsshdRZlprodW33rNd5HmSy1e8SLIMo2hV_IyPj3gXHDNsB7UGpzlV4ys-jrlj6O0v9YJHSrvu4H-0wALdkwMT7yvuJo51KX3oOsiQHBSWnNYLDL0Izfkb5uddxB2U-tTwuom5iCtVPnzr_m_vFbY3lYPho19LzvsQpb18H1Mb2_qRXCWgWQ9YuFsUrLccSgggOJw2vMLCxbjHvDniHErFuVfBtkEMqVVNHgWayAUkWwgj4c8SJZ-fCmLYXpq3ctcNMr705Ogprsw8du_XMQIxVL2IgfnYBIKkuCXWRzyOpKwyDI51qEeU1s7VUs-5Agsc-3cwgZucRaxgnFR7Lgtw5J6WSI9JhaiFcsKZ2DnrKZ7vHqEHXlfpkipBAghrhqGuMvVIY3HYFf0OD_bOls3FP-oEEMR-0oHXFoAe6FxjaUGbUNlxJq7ky4JaGlSJ3p-pvPX4yLqyEj8QzkVFop0BDjL2aoUAAgacC8HmvfU4KX8wcWHoxXukJXo6_SH4LtwYjxfKtlr2AciSZHvKuXuGvJq_vVpxZLu5bsip-GJGJHUrYNnVNTNl2rHSFs4eIEHbo7Z3SI2HDaQ5izd61e2DmJ9G-x6Z3IV6jviEJw0Ma79S9EVai1SWONqiMO-f4srlx1WZgmBTQMjXU3XcnTVO1kqmwXPxxkCDe3vkaT_rHoUHrvvHXDcL9LgHCnPxhiDWOobHXV2iJYXyNHnB-X8OvLCdMKlrbHUZqpK_aNNRaBtT6oABN7wM2KesoM7DxTXlIj1Jpnoh8D9x6-gE3gXZSyqe8pVq0uEk5-vbRc6xqqEOHm1VKLu68j15266dsyLGtC2pvU3Y3NZdHRPqXK4Rz_2KgYNH6RsnCXr65Js6xPpVRA28V2GZHBjStFa3RbseAVWAblIDp2vOO2TJLCWtCqnM49CDAI-iurzjNTWPxdb_eQTm_LbIUduSrhjOV44IaigkQPFtnHkWv3sM4cfpiTbyVro0ulm5c6A0xvsPE3xhrHDHN8orKrjUf1rlTLwIE6va17ID0XP1Ew6cvmB_sxEoQ49oXHAQAl8OZKDF6nxq1CwZmZcdH69WTEsv00FcUMkHKCxGaxbJ4qV_Ct5bGyucaN6fxt95Sq1aT7Tb96JvT5nw3ANz8d-7nx_kUmrRngLOMdoSOVbakbrA6880RHQ_-sdMKuVwU7xDLPUi71zjsnuzPkq-lfZx0Kk1-WEHrZ9Cv5dcSpfe12IHBYxm7XY8MpJGOSoEGBPNDqUFxY8hOxHIg1sU_JkVpiaHowgqh6U6VGUHgKY_X7-QPY4FsDhvrJN5z-wLbKhlJv-dse2sPPbiDzOcetERua1YfVfliVyghrGt4xrYv2cQRq4Cpqk-YhlgWW6vGjpXRQSmFetfeXNOdLEjGzozd7hkOl4j54Zdt8aAJxmmrMeRceLZmWJFV7y8SHaXMCqLyB9GKShYPLc-NHbPQzxIYCX0vibYALES__0PX-yl0okXv763s1DE7gTP3fi9rTK6F0vX9tgNyuud8MAZ0ZjIeZoYGQZ1uKw2ovwT5hFFBHKuqWvxmxIDqvT15N2Ki3y_QafZPsX0f4g9s_oWtK0qlrvx139VkoSifx8W1ShOnPQs6SKmUgJ6LqhmIywdxyx1W1nGX9I_VZiTNj9Epb0iVgiZrKdoBlaXPfnXn_dKlF4Vj4GvYOlXUQnVVEpLMzpu5_j-h-9M9O6mQ8lXmZoVlwOqYEwaNv0_-2uNjjjaURcBQ_g9v5-iAcc_4-UHEGS7TYAqiU-H3VDHvMVAB8EZF50VqoOIFFlFbIyx-U1cVLcegJva0sVXgEOOK138wBDgpA9hAVxnkUWYUm6mxv4NPEqz0MJnelMYGsW8ZP0fzNxhrPu78vlY6q4d3AN7mdUqCrZrGaxh-8j1qLZ7-XaGa1H6Nj_RFuLcNTMiO4_aWIeMpG33koUX6n_CtmvfEcs9mgJQKNwhwKn6ole0KKSoCv4VjCbjLjQkkmAKSFCK2hrRIK3yE3J6YGVHh9W7yC1bTLBj-0fRbW-x36oC5_FNQLpd3zvCKNjY5RGQj9VhgEyL6c5NZq2HPfGEcDDH3urU3ic3hRPCOo9nc0Xw-va4dqCsyB1RjpynxIZY5CMp8Zx-bHF6fPAy27XzMfRKDaO8390rwLm02AalUczh4R2gHGn4HtixvRPk2DqPSFOQG2xHaODO0PEDlrPEapyz1XC8OYCUJEeM_HOalpCAcuVXHPrDvExVf9RiDhU5o7Z_ndPdvJlzxLEca7nA9_aTIa6rXCU1awUmYC6kP0YjU6LdC11h2yAWqjEiFS4iUp9G1fNa5-9EWm0yvG7KDTXfiI95Bu2mvNtRk2Ra-HR26H4="
        }
      ]
    },
    {
      "iteration": 4,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "classical\nhave h\u03bc : \u03bc.toSimpleGraph.CDSColorable := by\n  simpa using (YoungDiagram.toSimpleGraph_CDSColorable (\u03bc := \u03bc))\nexact h\u03bc",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.223
    },
    {
      "iteration": 5,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077503-3WE4mItKH07X4t2QKTls",
      "api_elapsed_s": 55.929,
      "usage": {
        "prompt_tokens": 4636,
        "completion_tokens": 3001,
        "total_tokens": 7637,
        "reasoning_tokens": 2965,
        "cost_usd": 0.0442806
      },
      "openrouter_retries": 0,
      "response_text_len": 103,
      "used_tool_call": false,
      "reasoning_text": "**Crafting robust tactic proof**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Crafting robust tactic proof**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc1bfc9c88193963405426d183b42",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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"
        }
      ]
    },
    {
      "iteration": 5,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "have h_main : \u03bc.toSimpleGraph.CDSColorable := by\n  first\n    | exact?\n    | infer_instance\nexact h_main",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.168
    },
    {
      "iteration": 5,
      "event": "search_mathlib",
      "query": "LatinTableau",
      "results_count": 0
    },
    {
      "iteration": 6,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077644-yofGLWayqGttdW5UkvF2",
      "api_elapsed_s": 25.337,
      "usage": {
        "prompt_tokens": 9093,
        "completion_tokens": 1406,
        "total_tokens": 10499,
        "reasoning_tokens": 1351,
        "cost_usd": 0.03559675
      },
      "openrouter_retries": 0,
      "response_text_len": 142,
      "used_tool_call": false,
      "reasoning_text": "**Designing conditional exact? tactic**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Designing conditional exact? tactic**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc24d1d788193a346d3980000aaf6",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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        }
      ]
    },
    {
      "iteration": 6,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "classical\nby_cases h : \u03bc.toSimpleGraph.CDSColorable\n\u00b7 exact h\n\u00b7 exfalso\n  have h' : \u03bc.toSimpleGraph.CDSColorable := by\n    exact?\n  exact h h'",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.229
    },
    {
      "iteration": 7,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077684-9s1N90A89taGzPDt9D00",
      "api_elapsed_s": 62.216,
      "usage": {
        "prompt_tokens": 6308,
        "completion_tokens": 2996,
        "total_tokens": 9304,
        "reasoning_tokens": 2964,
        "cost_usd": 0.0513702
      },
      "openrouter_retries": 0,
      "response_text_len": 72,
      "used_tool_call": false,
      "reasoning_text": "**Providing robust proof tactic**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Providing robust proof tactic**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc275893081939b53140106d5cf81",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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"
        }
      ]
    },
    {
      "iteration": 7,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "classical\nhave h\u2081 : \u03bc.toSimpleGraph.CDSColorable := by\n  exact?\nexact h\u2081",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.182
    },
    {
      "iteration": 8,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077762-Yq9ueo08mlsIFmC9NY8h",
      "api_elapsed_s": 70.167,
      "usage": {
        "prompt_tokens": 7168,
        "completion_tokens": 3731,
        "total_tokens": 10899,
        "reasoning_tokens": 3679,
        "cost_usd": 0.0551012
      },
      "openrouter_retries": 0,
      "response_text_len": 134,
      "used_tool_call": false,
      "reasoning_text": "**Providing robust tactic proof**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Providing robust tactic proof**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc2c2fa1481939b25c578eb18c8f9",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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"
        }
      ]
    },
    {
      "iteration": 8,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "classical\nhave h0 : \u03bc.toSimpleGraph.CDSColorable := by\n  exact?\nhave h1 : \u03bc.toSimpleGraph.CDSColorable := by\n  simpa using h0\nexact h1",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.202
    },
    {
      "iteration": 8,
      "event": "search_mathlib",
      "query": "YoungDiagram colorable",
      "results_count": 0
    },
    {
      "iteration": 8,
      "event": "search_mathlib",
      "query": "CDS",
      "results_count": 0
    },
    {
      "iteration": 9,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077912-fe7pfSsvRvlpjHr9gHE4",
      "api_elapsed_s": 29.911,
      "usage": {
        "prompt_tokens": 11347,
        "completion_tokens": 1557,
        "total_tokens": 12904,
        "reasoning_tokens": 1532,
        "cost_usd": 0.02411605
      },
      "openrouter_retries": 0,
      "response_text_len": 60,
      "used_tool_call": false,
      "reasoning_text": "**Choosing tactic with exact?**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Choosing tactic with exact?**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc358c2048193b01a4928147e168f",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": "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"
        }
      ]
    },
    {
      "iteration": 9,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "have h : \u03bc.toSimpleGraph.CDSColorable := by\n  exact?\nexact h",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.177
    },
    {
      "iteration": 10,
      "provider": "openrouter_primary",
      "finish_reason": "stop",
      "response_id": "gen-1772077957-vJbnDThmsyfPgajEPjQi",
      "api_elapsed_s": 70.146,
      "usage": {
        "prompt_tokens": 9217,
        "completion_tokens": 3904,
        "total_tokens": 13121,
        "reasoning_tokens": 3784,
        "cost_usd": 0.06252015
      },
      "openrouter_retries": 0,
      "response_text_len": 373,
      "used_tool_call": false,
      "reasoning_text": "**Crafting fallback multi-lemma tactic**",
      "reasoning_details": [
        {
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.summary",
          "summary": "**Crafting fallback multi-lemma tactic**"
        },
        {
          "id": "rs_0b58c449f32ae28c01699fc385f01c819388b1854e176191d1",
          "format": "openai-responses-v1",
          "index": 0,
          "type": "reasoning.encrypted",
          "data": 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        }
      ]
    },
    {
      "iteration": 10,
      "event": "compile_proof",
      "provider": "openrouter_primary",
      "status": "failed",
      "goals_remaining": null,
      "timed_out": false,
      "banned_tokens": [],
      "proof_code": "classical\nhave h : \u03bc.toSimpleGraph.CDSColorable := by\n  first\n    | simpa using (YoungDiagram.toSimpleGraph_CDSColorable (\u03bc := \u03bc))\n    | simpa using (\u03bc.toSimpleGraph_CDSColorable)\n    | simpa using (toSimpleGraph_CDSColorable (\u03bc := \u03bc))\n    | simpa using (toSimpleGraph_CDSColorable \u03bc)\n    | simpa using (by infer_instance : \u03bc.toSimpleGraph.CDSColorable)\n    | aesop\nexact h",
      "compiler_output_preview": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n\n",
      "compile_elapsed_s": 15.233
    }
  ],
  "verification": {
    "banned_tokens": [],
    "command": [
      "[path]
      "lean",
      "/app/asi_portal/verifier/quick_1772078042_6780.lean"
    ],
    "comparator_passed": null,
    "duration_s": 0.22504806518554688,
    "goals_remaining": null,
    "is_verified": false,
    "lean_file_path": "",
    "problem": {
      "axioms_check_name": "LatinTableauConjecture",
      "axioms_check_skipped": false,
      "benchmark_id": "Paper__LatinTableau__LatinTableauConjecture",
      "category": "research_open",
      "endings": [
        "end SimpleGraph",
        "end LatinTableau"
      ],
      "imports": [
        "FormalConjectures.Util.ProblemImports"
      ],
      "preamble_chars": 663,
      "source_file": "FormalConjectures/Paper/LatinTableau.lean",
      "title": "LatinTableauConjecture"
    },
    "returncode": 1,
    "status": "failed",
    "stderr": "",
    "stdout": "\ninfo: mathlib: URL has changed; deleting '/app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib' and cloning again\nerror: permission denied (error code: 13)\n  file: /app/asi_portal/temp_repos/formal-conjectures/.lake/packages/mathlib/README.md\n",
    "timed_out": false
  },
  "phase2_error": "ProgressAnalysisResult.__init__() missing 1 required positional argument: 'progress_score'"
}
Gemini 3.1 Pro Agent v8 Failed -- Feb 26, 2026
View
{
  "agent_telemetry": {
    "compilations": 0,
    "iterations": 0,
    "duration_s": 0.41,
    "best_status": "pending",
    "best_goals": null,
    "max_iterations": 10,
    "model": "gemini-3.1-pro-preview",
    "error": "Gemini API error 429: {\n  \"error\": {\n    \"code\": 429,\n    \"message\": \"You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_requests_per_model_per_day, limit: 0\",\n    \"status\": \"RESOURCE_EXHAUSTED\",\n    \"details\": [\n      {\n        \"@type\":",
    "provider": "gemini_direct",
    "finish_reason": "",
    "usage": {
      "prompt_tokens": 0,
      "completion_tokens": 0,
      "total_tokens": 0,
      "reasoning_tokens": null,
      "cost_usd": 0.0
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