{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TM3SS7EKZDNOTNGB2DBZQCFGGS","short_pith_number":"pith:TM3SS7EK","canonical_record":{"source":{"id":"2410.13213","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-17T04:37:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"77f3faea7259562f8eeb2fe3f44981fd49b3d1980c0dfabaa83a8e87e4a30c2a","abstract_canon_sha256":"bed30876244755fc4540936819ea78841130ac5564aa967237dc73828f551fe3"},"schema_version":"1.0"},"canonical_sha256":"9b37297c8ac8dae9b4c1d0c39808a634a05a19f965999083642d14629950e02e","source":{"kind":"arxiv","id":"2410.13213","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13213","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13213v2","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13213","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"pith_short_12","alias_value":"TM3SS7EKZDNO","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"pith_short_16","alias_value":"TM3SS7EKZDNOTNGB","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"pith_short_8","alias_value":"TM3SS7EK","created_at":"2026-07-05T10:22:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TM3SS7EKZDNOTNGB2DBZQCFGGS","target":"record","payload":{"canonical_record":{"source":{"id":"2410.13213","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-17T04:37:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"77f3faea7259562f8eeb2fe3f44981fd49b3d1980c0dfabaa83a8e87e4a30c2a","abstract_canon_sha256":"bed30876244755fc4540936819ea78841130ac5564aa967237dc73828f551fe3"},"schema_version":"1.0"},"canonical_sha256":"9b37297c8ac8dae9b4c1d0c39808a634a05a19f965999083642d14629950e02e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:52.488652Z","signature_b64":"S9A04a7Qrk/OmKz9Mk4g91fgkefmpLRkSTH1C3ONcSSIy2kXuYm6wnROOfIEp85pY/cu+M+jrytOfi3nBWMzDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b37297c8ac8dae9b4c1d0c39808a634a05a19f965999083642d14629950e02e","last_reissued_at":"2026-07-05T10:22:52.487943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:52.487943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.13213","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:22:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rh2SOk0Cdzv6eIabGNiZQyM28HqEm9FplRspO3doK0XuoN4iKRyBuRJooDIkedW2UfdibiUbkUpFodOHMGU9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:51:33.873546Z"},"content_sha256":"bd028e41c91ba1c353262c025f19b2c2a5152050b4b5d43a0ec9fd6438678dc0","schema_version":"1.0","event_id":"sha256:bd028e41c91ba1c353262c025f19b2c2a5152050b4b5d43a0ec9fd6438678dc0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TM3SS7EKZDNOTNGB2DBZQCFGGS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Aimin Zhou, Caigao Jiang, Hong Qian, Jun Zhou, Xiang Shu, Xingyu Lu, Yang Yu","submitted_at":"2024-10-17T04:37:37Z","abstract_excerpt":"Optimization problems are prevalent across various scenarios. Formulating and then solving optimization problems described by natural language often requires highly specialized human expertise, which could block the widespread application of optimization-based decision making. To automate problem formulation and solving, leveraging large language models (LLMs) has emerged as a potential way. However, this kind of approach suffers from the issue of optimization generalization. Namely, the accuracy of most current LLM-based methods and the generality of optimization problem types that they can m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13213","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.13213/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:22:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nKqpe3S9YDssBE2qIrIeOAlcf9XZ/mMGLxSKaHEt83CFk341OH31VaDdx3G+kr2R5jy6HJufPXb/duQKpDunAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:51:33.874092Z"},"content_sha256":"be9f2700aa7d728801d123dfc7f2f8d454bb8301478f533bfc86621ab025b134","schema_version":"1.0","event_id":"sha256:be9f2700aa7d728801d123dfc7f2f8d454bb8301478f533bfc86621ab025b134"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS/bundle.json","state_url":"https://pith.science/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T04:51:33Z","links":{"resolver":"https://pith.science/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS","bundle":"https://pith.science/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS/bundle.json","state":"https://pith.science/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TM3SS7EKZDNOTNGB2DBZQCFGGS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TM3SS7EKZDNOTNGB2DBZQCFGGS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bed30876244755fc4540936819ea78841130ac5564aa967237dc73828f551fe3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-17T04:37:37Z","title_canon_sha256":"77f3faea7259562f8eeb2fe3f44981fd49b3d1980c0dfabaa83a8e87e4a30c2a"},"schema_version":"1.0","source":{"id":"2410.13213","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13213","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13213v2","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13213","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"pith_short_12","alias_value":"TM3SS7EKZDNO","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"pith_short_16","alias_value":"TM3SS7EKZDNOTNGB","created_at":"2026-07-05T10:22:52Z"},{"alias_kind":"pith_short_8","alias_value":"TM3SS7EK","created_at":"2026-07-05T10:22:52Z"}],"graph_snapshots":[{"event_id":"sha256:be9f2700aa7d728801d123dfc7f2f8d454bb8301478f533bfc86621ab025b134","target":"graph","created_at":"2026-07-05T10:22:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.13213/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optimization problems are prevalent across various scenarios. Formulating and then solving optimization problems described by natural language often requires highly specialized human expertise, which could block the widespread application of optimization-based decision making. To automate problem formulation and solving, leveraging large language models (LLMs) has emerged as a potential way. However, this kind of approach suffers from the issue of optimization generalization. Namely, the accuracy of most current LLM-based methods and the generality of optimization problem types that they can m","authors_text":"Aimin Zhou, Caigao Jiang, Hong Qian, Jun Zhou, Xiang Shu, Xingyu Lu, Yang Yu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-17T04:37:37Z","title":"LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13213","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:bd028e41c91ba1c353262c025f19b2c2a5152050b4b5d43a0ec9fd6438678dc0","target":"record","created_at":"2026-07-05T10:22:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bed30876244755fc4540936819ea78841130ac5564aa967237dc73828f551fe3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-17T04:37:37Z","title_canon_sha256":"77f3faea7259562f8eeb2fe3f44981fd49b3d1980c0dfabaa83a8e87e4a30c2a"},"schema_version":"1.0","source":{"id":"2410.13213","kind":"arxiv","version":2}},"canonical_sha256":"9b37297c8ac8dae9b4c1d0c39808a634a05a19f965999083642d14629950e02e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b37297c8ac8dae9b4c1d0c39808a634a05a19f965999083642d14629950e02e","first_computed_at":"2026-07-05T10:22:52.487943Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:52.487943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S9A04a7Qrk/OmKz9Mk4g91fgkefmpLRkSTH1C3ONcSSIy2kXuYm6wnROOfIEp85pY/cu+M+jrytOfi3nBWMzDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:52.488652Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.13213","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd028e41c91ba1c353262c025f19b2c2a5152050b4b5d43a0ec9fd6438678dc0","sha256:be9f2700aa7d728801d123dfc7f2f8d454bb8301478f533bfc86621ab025b134"],"state_sha256":"4922595d3cc46ac0375c412f93d599c6983c3074bce313cac6f0b6c336ce3b65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dus+C52+2hpOrWxd5d+as50ejLuYnexHvgQ7ECGz3t8Q1xz25l790N3qRW13Um0j08y4gphsao3y3SjsD8YuCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T04:51:33.877323Z","bundle_sha256":"4f178cbf6ab0a2d047f19660f40e29bed6adf7b37d751c1311a4ec2025d70e2f"}}