{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ULYOTOMCRJAWCYRFAOIY237WLE","short_pith_number":"pith:ULYOTOMC","canonical_record":{"source":{"id":"2606.19787","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T04:43:23Z","cross_cats_sorted":[],"title_canon_sha256":"206aa0449f7876d131eb986fe34850d772716b7832205bd98cdf7a8bd7cc3d95","abstract_canon_sha256":"78f364241913934aa9b8216e9e0c6ea657c0aa0c52125788e115218a30f5e045"},"schema_version":"1.0"},"canonical_sha256":"a2f0e9b9828a4161622503918d6ff6591a9297263eeb4df1b9099e4cf9ce5457","source":{"kind":"arxiv","id":"2606.19787","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19787","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19787v1","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19787","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_12","alias_value":"ULYOTOMCRJAW","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_16","alias_value":"ULYOTOMCRJAWCYRF","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_8","alias_value":"ULYOTOMC","created_at":"2026-06-19T16:12:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ULYOTOMCRJAWCYRFAOIY237WLE","target":"record","payload":{"canonical_record":{"source":{"id":"2606.19787","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T04:43:23Z","cross_cats_sorted":[],"title_canon_sha256":"206aa0449f7876d131eb986fe34850d772716b7832205bd98cdf7a8bd7cc3d95","abstract_canon_sha256":"78f364241913934aa9b8216e9e0c6ea657c0aa0c52125788e115218a30f5e045"},"schema_version":"1.0"},"canonical_sha256":"a2f0e9b9828a4161622503918d6ff6591a9297263eeb4df1b9099e4cf9ce5457","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:35.162729Z","signature_b64":"83kSOWlU3OcJb6LAE36NhDjg2kJMfzh30XHPzuWc/F2py8Jwq/kUn7PgxNVzNoPU1/tOjZTnHr1aSKBATjuLDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2f0e9b9828a4161622503918d6ff6591a9297263eeb4df1b9099e4cf9ce5457","last_reissued_at":"2026-06-19T16:12:35.162391Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:35.162391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.19787","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-19T16:12:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aqhsaAwOR3siYReAPpsUvLSWmeQ75d2mLOOr6kwPA6f02jsq3vjrYUwg9tCRXi/OrbE89G5zOsz1k8ZRfEszDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T21:26:53.782146Z"},"content_sha256":"8e1c138357b8b7c3d8c89d157275b4c9428d1d1d733e97880accc06c27a5fffe","schema_version":"1.0","event_id":"sha256:8e1c138357b8b7c3d8c89d157275b4c9428d1d1d733e97880accc06c27a5fffe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ULYOTOMCRJAWCYRFAOIY237WLE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Guanyu Nie, Jiajun Li, Mingshu Cai, Ran Hou, Wanyuan Wang, Xiongwei Han, Yixuan Li, Yu Ding","submitted_at":"2026-06-18T04:43:23Z","abstract_excerpt":"Large language models are increasingly deployed as autonomous agents for multi-step tasks in executable environments, yet their ability to perform realistic operations research (OR) work remains unclear. Existing OR evaluations often decouple modeling from solving, rely on pre-formalized or text-only instances, and rarely test the full workflow from operational artifacts to validated decisions. In this work, we introduce ORAgentBench, an execution-grounded benchmark for evaluating autonomous agents on challenging end-to-end operations research tasks. It contains 107 human-reviewed tasks across"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19787","kind":"arxiv","version":1},"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/2606.19787/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":"2026-06-19T16:12:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YwZvCklQaIgbBNmkxWR3QcsvhUcWSVLTb+yu/j0EOiNr4W+47Lzj5RZWHoxJUNy/NaWtMDDayGILsRcdPqVwAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T21:26:53.782535Z"},"content_sha256":"10d3f624edcfb08fd4fc1b220cc5f47eac00f49c05dccc7b57f793f2136d3bdb","schema_version":"1.0","event_id":"sha256:10d3f624edcfb08fd4fc1b220cc5f47eac00f49c05dccc7b57f793f2136d3bdb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ULYOTOMCRJAWCYRFAOIY237WLE/bundle.json","state_url":"https://pith.science/pith/ULYOTOMCRJAWCYRFAOIY237WLE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ULYOTOMCRJAWCYRFAOIY237WLE/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":"2026-06-27T21:26:53Z","links":{"resolver":"https://pith.science/pith/ULYOTOMCRJAWCYRFAOIY237WLE","bundle":"https://pith.science/pith/ULYOTOMCRJAWCYRFAOIY237WLE/bundle.json","state":"https://pith.science/pith/ULYOTOMCRJAWCYRFAOIY237WLE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ULYOTOMCRJAWCYRFAOIY237WLE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ULYOTOMCRJAWCYRFAOIY237WLE","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":"78f364241913934aa9b8216e9e0c6ea657c0aa0c52125788e115218a30f5e045","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T04:43:23Z","title_canon_sha256":"206aa0449f7876d131eb986fe34850d772716b7832205bd98cdf7a8bd7cc3d95"},"schema_version":"1.0","source":{"id":"2606.19787","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19787","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19787v1","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19787","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_12","alias_value":"ULYOTOMCRJAW","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_16","alias_value":"ULYOTOMCRJAWCYRF","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_8","alias_value":"ULYOTOMC","created_at":"2026-06-19T16:12:35Z"}],"graph_snapshots":[{"event_id":"sha256:10d3f624edcfb08fd4fc1b220cc5f47eac00f49c05dccc7b57f793f2136d3bdb","target":"graph","created_at":"2026-06-19T16:12:35Z","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/2606.19787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models are increasingly deployed as autonomous agents for multi-step tasks in executable environments, yet their ability to perform realistic operations research (OR) work remains unclear. Existing OR evaluations often decouple modeling from solving, rely on pre-formalized or text-only instances, and rarely test the full workflow from operational artifacts to validated decisions. In this work, we introduce ORAgentBench, an execution-grounded benchmark for evaluating autonomous agents on challenging end-to-end operations research tasks. It contains 107 human-reviewed tasks across","authors_text":"Guanyu Nie, Jiajun Li, Mingshu Cai, Ran Hou, Wanyuan Wang, Xiongwei Han, Yixuan Li, Yu Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T04:43:23Z","title":"ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19787","kind":"arxiv","version":1},"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":"sha256:8e1c138357b8b7c3d8c89d157275b4c9428d1d1d733e97880accc06c27a5fffe","target":"record","created_at":"2026-06-19T16:12:35Z","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":"78f364241913934aa9b8216e9e0c6ea657c0aa0c52125788e115218a30f5e045","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T04:43:23Z","title_canon_sha256":"206aa0449f7876d131eb986fe34850d772716b7832205bd98cdf7a8bd7cc3d95"},"schema_version":"1.0","source":{"id":"2606.19787","kind":"arxiv","version":1}},"canonical_sha256":"a2f0e9b9828a4161622503918d6ff6591a9297263eeb4df1b9099e4cf9ce5457","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2f0e9b9828a4161622503918d6ff6591a9297263eeb4df1b9099e4cf9ce5457","first_computed_at":"2026-06-19T16:12:35.162391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:35.162391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"83kSOWlU3OcJb6LAE36NhDjg2kJMfzh30XHPzuWc/F2py8Jwq/kUn7PgxNVzNoPU1/tOjZTnHr1aSKBATjuLDA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:35.162729Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19787","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e1c138357b8b7c3d8c89d157275b4c9428d1d1d733e97880accc06c27a5fffe","sha256:10d3f624edcfb08fd4fc1b220cc5f47eac00f49c05dccc7b57f793f2136d3bdb"],"state_sha256":"d60d70698aac48da1394a07ea495f616eee765b273b925ed9c5d6a39b05729c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bmPDq7xvL3cmdNG/IfGEIan8j6Q/aTvDgWidASxZy67jsL/PdKo3VA2ntAny9CujBWobu2t0Akc/i2XKGR2hCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T21:26:53.784479Z","bundle_sha256":"7ed9142567611f0a7916764bd10259dbc9eb03cb1ade30967448f852bee03850"}}