{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YUBM5JEIQLJ4PIL64Y3PYRJILF","short_pith_number":"pith:YUBM5JEI","canonical_record":{"source":{"id":"2602.18008","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T05:46:54Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"44415ab952a2e62c837caf031d359cfdaf9f1a059bf8f572bf1c80053f29a919","abstract_canon_sha256":"1871be0180b91e47d79db723c9b80738238a0fe097a7c744f706cae20e91f64d"},"schema_version":"1.0"},"canonical_sha256":"c502cea48882d3c7a17ee636fc45285948cd0d142f37621ba7d883c63dce8892","source":{"kind":"arxiv","id":"2602.18008","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.18008","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.18008v2","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18008","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"YUBM5JEIQLJ4","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"YUBM5JEIQLJ4PIL6","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"YUBM5JEI","created_at":"2026-06-02T01:04:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YUBM5JEIQLJ4PIL64Y3PYRJILF","target":"record","payload":{"canonical_record":{"source":{"id":"2602.18008","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T05:46:54Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"44415ab952a2e62c837caf031d359cfdaf9f1a059bf8f572bf1c80053f29a919","abstract_canon_sha256":"1871be0180b91e47d79db723c9b80738238a0fe097a7c744f706cae20e91f64d"},"schema_version":"1.0"},"canonical_sha256":"c502cea48882d3c7a17ee636fc45285948cd0d142f37621ba7d883c63dce8892","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:04:15.900747Z","signature_b64":"3dDYYSQmKH/7nd69+iwxKNtSVQL0+JKycvOQBeQ6q15P6QjUa9LMgkqEh+1TLh+AFRcBvkb97+i3AuQ6EShsDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c502cea48882d3c7a17ee636fc45285948cd0d142f37621ba7d883c63dce8892","last_reissued_at":"2026-06-02T01:04:15.900252Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:04:15.900252Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.18008","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":"2026-06-02T01:04:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3NWk4ZvC4clZ/nLMSFHHuNOkL0wIoK62WuffexxacKhIVO4QJwjSrgonKx9So86iVV9E+FmXjwZgbITJCTgsAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T19:05:53.884864Z"},"content_sha256":"167678d2d922394e7126fa58fbf629a0190427bb13d026f3594d9bffbae1d383","schema_version":"1.0","event_id":"sha256:167678d2d922394e7126fa58fbf629a0190427bb13d026f3594d9bffbae1d383"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YUBM5JEIQLJ4PIL64Y3PYRJILF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Aiying Zhang, Anil Vullikanti, Mengxuan Hu, Prasanna Balachandran, Rituparna Datta, Sheng Li, Shunshun Liu, Zihan Guan","submitted_at":"2026-02-20T05:46:54Z","abstract_excerpt":"Large language models (LLMs) have shown promise in constructing mechanistic models from data. However, existing evaluations largely focus on simplified settings and fail to capture the complexity of real-world scientific modeling. In practice, such modeling often involves neural-integrated formulations, where a mechanistic model component and a neural network component are jointly constructed, leading to a significantly more complex search space. Motivated by this gap, we introduce the Neural-Integrated Mechanistic Modeling (NIMM) benchmark, which evaluates LLM-generated neural-integrated mech"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18008","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/2602.18008/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":"2026-06-02T01:04:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+0Z7fbRm3ofJpPDBndeNc6nCMrCs8arEqf/WxtQZTty1PiwG0i12ofurBgvfD3T0NBBFjWpZ+OYQ9u4nHyryCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T19:05:53.885558Z"},"content_sha256":"a855512abc6cae04cd4a5816ae5c7d48632aefee542b206fcc3b49eb7dc07a9f","schema_version":"1.0","event_id":"sha256:a855512abc6cae04cd4a5816ae5c7d48632aefee542b206fcc3b49eb7dc07a9f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF/bundle.json","state_url":"https://pith.science/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF/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":"2026-06-08T19:05:53Z","links":{"resolver":"https://pith.science/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF","bundle":"https://pith.science/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF/bundle.json","state":"https://pith.science/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YUBM5JEIQLJ4PIL64Y3PYRJILF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YUBM5JEIQLJ4PIL64Y3PYRJILF","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":"1871be0180b91e47d79db723c9b80738238a0fe097a7c744f706cae20e91f64d","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T05:46:54Z","title_canon_sha256":"44415ab952a2e62c837caf031d359cfdaf9f1a059bf8f572bf1c80053f29a919"},"schema_version":"1.0","source":{"id":"2602.18008","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.18008","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.18008v2","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18008","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"YUBM5JEIQLJ4","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"YUBM5JEIQLJ4PIL6","created_at":"2026-06-02T01:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"YUBM5JEI","created_at":"2026-06-02T01:04:15Z"}],"graph_snapshots":[{"event_id":"sha256:a855512abc6cae04cd4a5816ae5c7d48632aefee542b206fcc3b49eb7dc07a9f","target":"graph","created_at":"2026-06-02T01:04:15Z","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/2602.18008/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have shown promise in constructing mechanistic models from data. However, existing evaluations largely focus on simplified settings and fail to capture the complexity of real-world scientific modeling. In practice, such modeling often involves neural-integrated formulations, where a mechanistic model component and a neural network component are jointly constructed, leading to a significantly more complex search space. Motivated by this gap, we introduce the Neural-Integrated Mechanistic Modeling (NIMM) benchmark, which evaluates LLM-generated neural-integrated mech","authors_text":"Aiying Zhang, Anil Vullikanti, Mengxuan Hu, Prasanna Balachandran, Rituparna Datta, Sheng Li, Shunshun Liu, Zihan Guan","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T05:46:54Z","title":"Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18008","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":"sha256:167678d2d922394e7126fa58fbf629a0190427bb13d026f3594d9bffbae1d383","target":"record","created_at":"2026-06-02T01:04:15Z","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":"1871be0180b91e47d79db723c9b80738238a0fe097a7c744f706cae20e91f64d","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T05:46:54Z","title_canon_sha256":"44415ab952a2e62c837caf031d359cfdaf9f1a059bf8f572bf1c80053f29a919"},"schema_version":"1.0","source":{"id":"2602.18008","kind":"arxiv","version":2}},"canonical_sha256":"c502cea48882d3c7a17ee636fc45285948cd0d142f37621ba7d883c63dce8892","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c502cea48882d3c7a17ee636fc45285948cd0d142f37621ba7d883c63dce8892","first_computed_at":"2026-06-02T01:04:15.900252Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:15.900252Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3dDYYSQmKH/7nd69+iwxKNtSVQL0+JKycvOQBeQ6q15P6QjUa9LMgkqEh+1TLh+AFRcBvkb97+i3AuQ6EShsDg==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:15.900747Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.18008","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:167678d2d922394e7126fa58fbf629a0190427bb13d026f3594d9bffbae1d383","sha256:a855512abc6cae04cd4a5816ae5c7d48632aefee542b206fcc3b49eb7dc07a9f"],"state_sha256":"0b5fe5249a3a254c55b4f80f8c04d4203b1c9848122f6186715bfcbf22c4a8eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pftQf/HPR4Xg3eptk30YbfFtP8MtHhjX29dgh1O0I9j8XpLQHGbif95zaulemSsUN4VZWuM6omAr9NZE6hWZDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T19:05:53.889212Z","bundle_sha256":"923ccaddbb28e322cd7e863c2bdf7ccc80d97c5b63f2fa3b2455f9320d91571c"}}