{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:F3BCRY76X43RERL6UKARHTREUP","short_pith_number":"pith:F3BCRY76","canonical_record":{"source":{"id":"2605.12916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T02:44:08Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5ead4305219fd61fb094a8ca882e89963391553b85338afef7744d809471535a","abstract_canon_sha256":"b0cd22473524c426a4f7270e2b59ba8330d6f8eae698107099187861b8c6acd1"},"schema_version":"1.0"},"canonical_sha256":"2ec228e3febf3712457ea28113ce24a3e637942dadbcb6619d8521748056ebee","source":{"kind":"arxiv","id":"2605.12916","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.12916","created_at":"2026-05-18T03:09:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.12916v1","created_at":"2026-05-18T03:09:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.12916","created_at":"2026-05-18T03:09:10Z"},{"alias_kind":"pith_short_12","alias_value":"F3BCRY76X43R","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"F3BCRY76X43RERL6","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"F3BCRY76","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:F3BCRY76X43RERL6UKARHTREUP","target":"record","payload":{"canonical_record":{"source":{"id":"2605.12916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T02:44:08Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5ead4305219fd61fb094a8ca882e89963391553b85338afef7744d809471535a","abstract_canon_sha256":"b0cd22473524c426a4f7270e2b59ba8330d6f8eae698107099187861b8c6acd1"},"schema_version":"1.0"},"canonical_sha256":"2ec228e3febf3712457ea28113ce24a3e637942dadbcb6619d8521748056ebee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:09:10.368042Z","signature_b64":"8yRS3YxxzztYyGR1gdsNJwkOr0AMzQ5ROj+Q4p0s9C3aFV0OkV1+r4MfgN/uuIpMT9KONNo2LpnbztJSbE5CCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ec228e3febf3712457ea28113ce24a3e637942dadbcb6619d8521748056ebee","last_reissued_at":"2026-05-18T03:09:10.367224Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:09:10.367224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.12916","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":"2026-05-18T03:09:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UiU0wPeVwyac1/TrEwcIy6Nuupmyv/bVOBE+rd2uRM93fnYajNje/FRCO7LWgDGM2XiEHmclF6nXHZxrig6lDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:49:40.260703Z"},"content_sha256":"8203940603ec48fbd972c825a616e81aa9acf8a5b46fd6d5fd5052428c10295c","schema_version":"1.0","event_id":"sha256:8203940603ec48fbd972c825a616e81aa9acf8a5b46fd6d5fd5052428c10295c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:F3BCRY76X43RERL6UKARHTREUP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.MA","authors_text":"Dawei Liu, Haiyang Hu, Huabin Sun, Xing Li, Yuequan Bao, Yuxuan Tian","submitted_at":"2026-05-13T02:44:08Z","abstract_excerpt":"Artificial intelligence is increasingly used to simplify complex tasks. In engineering applications of structural health monitoring (SHM), existing specialized algorithms, while effective, often face high implementation barriers, limited interoperability and complex training procedures. To overcome these challenges, this paper proposes SHM-Agents, a generalist-specialist agent system that integrates the reasoning and planning abilities of large language models with the problem-solving strengths of specialized algorithms. SHM-Agents enables end-to-end execution of single and combined SHM tasks "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.12916","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":""},"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":"2026-05-18T03:09:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jRev0JyoVQy6WMx9hNRClXfouhhJj1fjne5BO/4R6FnflHpB5caylbxypX67cGyk+GQZqnfAw31vQadSBx4UBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:49:40.261152Z"},"content_sha256":"0c5d4945e85f492c32912bab1988a9bf74ba6925b4fd1088ab0813ba4d86b6e0","schema_version":"1.0","event_id":"sha256:0c5d4945e85f492c32912bab1988a9bf74ba6925b4fd1088ab0813ba4d86b6e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3BCRY76X43RERL6UKARHTREUP/bundle.json","state_url":"https://pith.science/pith/F3BCRY76X43RERL6UKARHTREUP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3BCRY76X43RERL6UKARHTREUP/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":"2026-05-28T00:49:40Z","links":{"resolver":"https://pith.science/pith/F3BCRY76X43RERL6UKARHTREUP","bundle":"https://pith.science/pith/F3BCRY76X43RERL6UKARHTREUP/bundle.json","state":"https://pith.science/pith/F3BCRY76X43RERL6UKARHTREUP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3BCRY76X43RERL6UKARHTREUP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:F3BCRY76X43RERL6UKARHTREUP","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":"b0cd22473524c426a4f7270e2b59ba8330d6f8eae698107099187861b8c6acd1","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T02:44:08Z","title_canon_sha256":"5ead4305219fd61fb094a8ca882e89963391553b85338afef7744d809471535a"},"schema_version":"1.0","source":{"id":"2605.12916","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.12916","created_at":"2026-05-18T03:09:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.12916v1","created_at":"2026-05-18T03:09:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.12916","created_at":"2026-05-18T03:09:10Z"},{"alias_kind":"pith_short_12","alias_value":"F3BCRY76X43R","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"F3BCRY76X43RERL6","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"F3BCRY76","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:0c5d4945e85f492c32912bab1988a9bf74ba6925b4fd1088ab0813ba4d86b6e0","target":"graph","created_at":"2026-05-18T03:09:10Z","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"},"paper":{"abstract_excerpt":"Artificial intelligence is increasingly used to simplify complex tasks. In engineering applications of structural health monitoring (SHM), existing specialized algorithms, while effective, often face high implementation barriers, limited interoperability and complex training procedures. To overcome these challenges, this paper proposes SHM-Agents, a generalist-specialist agent system that integrates the reasoning and planning abilities of large language models with the problem-solving strengths of specialized algorithms. SHM-Agents enables end-to-end execution of single and combined SHM tasks ","authors_text":"Dawei Liu, Haiyang Hu, Huabin Sun, Xing Li, Yuequan Bao, Yuxuan Tian","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T02:44:08Z","title":"SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.12916","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":"sha256:8203940603ec48fbd972c825a616e81aa9acf8a5b46fd6d5fd5052428c10295c","target":"record","created_at":"2026-05-18T03:09:10Z","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":"b0cd22473524c426a4f7270e2b59ba8330d6f8eae698107099187861b8c6acd1","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T02:44:08Z","title_canon_sha256":"5ead4305219fd61fb094a8ca882e89963391553b85338afef7744d809471535a"},"schema_version":"1.0","source":{"id":"2605.12916","kind":"arxiv","version":1}},"canonical_sha256":"2ec228e3febf3712457ea28113ce24a3e637942dadbcb6619d8521748056ebee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ec228e3febf3712457ea28113ce24a3e637942dadbcb6619d8521748056ebee","first_computed_at":"2026-05-18T03:09:10.367224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:09:10.367224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8yRS3YxxzztYyGR1gdsNJwkOr0AMzQ5ROj+Q4p0s9C3aFV0OkV1+r4MfgN/uuIpMT9KONNo2LpnbztJSbE5CCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:09:10.368042Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.12916","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8203940603ec48fbd972c825a616e81aa9acf8a5b46fd6d5fd5052428c10295c","sha256:0c5d4945e85f492c32912bab1988a9bf74ba6925b4fd1088ab0813ba4d86b6e0"],"state_sha256":"e00112ac71f7b944d03fb619472d62e1c9fe4c9f706be86ab89787c430af5675"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2CUSMcHJ289lCDTTGNrC8XvOKRkHumx0bnv2bzwVBSuOqXqYQn/s14f11UekihvGEiFJfkgnUZnCKXHrcNoNCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T00:49:40.263080Z","bundle_sha256":"89474d1369658a7e003f29e280ff694b5209b11abd65531268613d24314dec41"}}