{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","short_pith_number":"pith:WNATDDRW","canonical_record":{"source":{"id":"2608.12304","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T17:50:39Z","cross_cats_sorted":[],"title_canon_sha256":"f18b4966ef7195c0351ffcf95b6fc7f453f9455c56cdbfe197f20e898c7d40ee","abstract_canon_sha256":"62a0e7d63572b037b1ddef91e6201bd247207f442cfab95407106fefd1b56473"},"schema_version":"1.0"},"canonical_sha256":"b341318e36dc5d893c08cd0542547a139e8c44af14a0f939c48cf7a424c662a5","source":{"kind":"arxiv","id":"2608.12304","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.12304","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"arxiv_version","alias_value":"2608.12304v1","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12304","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"pith_short_12","alias_value":"WNATDDRW3ROY","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"pith_short_16","alias_value":"WNATDDRW3ROYSPAI","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"pith_short_8","alias_value":"WNATDDRW","created_at":"2026-08-13T01:30:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","target":"record","payload":{"canonical_record":{"source":{"id":"2608.12304","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T17:50:39Z","cross_cats_sorted":[],"title_canon_sha256":"f18b4966ef7195c0351ffcf95b6fc7f453f9455c56cdbfe197f20e898c7d40ee","abstract_canon_sha256":"62a0e7d63572b037b1ddef91e6201bd247207f442cfab95407106fefd1b56473"},"schema_version":"1.0"},"canonical_sha256":"b341318e36dc5d893c08cd0542547a139e8c44af14a0f939c48cf7a424c662a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T01:30:45.708331Z","signature_b64":"LtlsyxS7vx/bhbNsDsRujUdWrMHKhze5euMu964m0+oFbzaPy2HWpfiXhD0eVK7t2Ldy1xsQ7HDss6zfwpmwAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b341318e36dc5d893c08cd0542547a139e8c44af14a0f939c48cf7a424c662a5","last_reissued_at":"2026-08-13T01:30:45.706135Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T01:30:45.706135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.12304","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":"2026-08-13T01:30:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hMGDlHJD76r3EVjYiaPoJgUqnUeZKACdMTfRn+765cyWECEg1chOjIlLzuEm51+TI2APG4QvE9GUj+65UhTmBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:22:38.653700Z"},"content_sha256":"72d7cd8f91c83c06218a1498feac84cebb3a2e6a7acace822d974df0b265cb5d","schema_version":"1.0","event_id":"sha256:72d7cd8f91c83c06218a1498feac84cebb3a2e6a7acace822d974df0b265cb5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Mohammad Modarres, Saman Marandi, Yu-Shu Hu","submitted_at":"2026-08-12T17:50:39Z","abstract_excerpt":"Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements. However, DML construction typically relies on expert interpretation of technical documentation, limiting scalability for complex systems. This study presents a framework for automated construction of DML models from system descriptions and their representation as Knowledge Graphs (KG-DML), using Retrieval-Augmented Generation and Large Language Models as enabling tools. Building on prior work with small-scale systems, the framework ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12304","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/2608.12304/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":"2026-08-13T01:30:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wNv+c/6mOCBEmz3Fe/Y3oVhvfs1Ipk2EejuA786WErIVrXxOeHvQlpm4se7prpmfDXdQH6/O1i8/yY1UcNgXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:22:38.654086Z"},"content_sha256":"4a63d81bcb83e8966c5bbe3d6885d988883830a3770a27d68e8b895a16d1c355","schema_version":"1.0","event_id":"sha256:4a63d81bcb83e8966c5bbe3d6885d988883830a3770a27d68e8b895a16d1c355"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","target":"integrity","payload":{"note":"Identifier '10.1038/s41586' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"S. Farquhar, J. Kossen, L. Kuhn, and Y. Gal, “Detecting hallucinations in large language models using semantic entropy,” Nature, vol. 630, no. 8017, pp. 625 –630, Jun. 2024, doi: 10.1038/s41586 -024- 07421-0","arxiv_id":"2608.12304","detector":"doi_compliance","evidence":{"doi":"10.1038/s41586","arxiv_id":null,"ref_index":36,"raw_excerpt":"S. Farquhar, J. Kossen, L. Kuhn, and Y. Gal, “Detecting hallucinations in large language models using semantic entropy,” Nature, vol. 630, no. 8017, pp. 625 –630, Jun. 2024, doi: 10.1038/s41586 -024- 07421-0","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":36,"audited_at":"2026-08-16T00:20:39.549833Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41586","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"20c534a9519d29f01d2aff5821649311b7928efecc82afe5fb87c144eb43a079","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":20133,"payload_sha256":"521b501bdc34b14b4bcf1d140e85592a3f677f9d919ab61db5f087e7179c7d4f","signature_b64":"4OD1+Wy4TF/n8PyQZNi7C7i1MS3hJifFSwiEle2u7uHHhEvSv6RyF64fwLeGN0sKFeVx1XpvGjeceGD459AQAQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-16T00:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m5ZSAQ0CmLu1/dMyUvQJBQgB4RygUMTjmBvUSqkBvwovVdShXWRFn/zwmEn91GX6ZExNsCoxpjSd/ATa66ifBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:22:38.655776Z"},"content_sha256":"5d5dd072aefd6df08816734e30d369896d7ef582b82aa9dfd66779bbef3728f2","schema_version":"1.0","event_id":"sha256:5d5dd072aefd6df08816734e30d369896d7ef582b82aa9dfd66779bbef3728f2"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-981-13-9008-1_11) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"V. Garg, M. Prasad, G. Vinod, and J. Chattopadhyay, “Reliability analysis of smart pressure transmitter,” in Reliability, Safety and Hazard Assessment for Risk-Based Technologies, P. V. Varde, R. V. Prakash, and G. Vinod, Eds., Singapore: S","arxiv_id":"2608.12304","detector":"doi_compliance","evidence":{"ref_index":27,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/978-981-13-","reconstructed_doi":"10.1007/978-981-13-9008-1_11"},"severity":"advisory","ref_index":27,"audited_at":"2026-08-16T00:20:39.549833Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-981-13-9008-1_11","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"42602b69485eff6e1d65ae966fe7a6939f2b83916b4162fd8863aa07c6935b43","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":20132,"payload_sha256":"f38bb0321b30e2d9ac7843e41d7bb3cfd99998f8fe991cb3e356a8e3be460884","signature_b64":"ceHWFrKqXDJjm/KHM/07FuEHE28xwRqXm8WFk+FULOktwzcPqBNwOBAiVmSSCtZlnE5Imcz0rVeH6fGR9i+eDQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-16T00:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iipkZcHl+/7blz0i5Wp885ym4PI2USMm6TrWmOjlfF1eyH7yyOzKo5reJIoyf2y2w4CgHpWdaJHpM2RpPHncCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:22:38.656073Z"},"content_sha256":"5466905e2daf355b29364796194d13974ba519e15c392ce0d2d9f0d1f57258d4","schema_version":"1.0","event_id":"sha256:5466905e2daf355b29364796194d13974ba519e15c392ce0d2d9f0d1f57258d4"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-3-7908-1866-6_17) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Y.-S. Hu and M. Modarres, “Logic -Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications,” in Fuzzy Systems and Soft Computing in Nuclear Engineering, vol. 38, D. Ruan, Ed., Heidelberg, Germany: Physica-Verlag,","arxiv_id":"2608.12304","detector":"doi_compliance","evidence":{"ref_index":9,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/978-3-7908-1866-","reconstructed_doi":"10.1007/978-3-7908-1866-6_17"},"severity":"advisory","ref_index":9,"audited_at":"2026-08-16T00:20:39.549833Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-3-7908-1866-6_17","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8aebbf2604eb90b1adede3bcd6d1c7bed11fe7fa2be16a49366caa0ab3aa9731","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":20131,"payload_sha256":"76003ae4ee20a3af05952e95c3974dc5d7cd48c181f93ef1f150240ccacbdcb7","signature_b64":"OAeHtNMsy9Ewssu6AxLw3b2VZZy6+gLu9QatRf6XEkCSP166RUkepBuJanFn0PogUyWW4f9uIlJOm9TZVtirBw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-16T00:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HUUN/FHXd96ZYwU75iaGISiFsiMOzg3idO6SPszpjpePpraIpq9RxOvOS3pDBsGU6t8c/0hKc8gRk5pz+m8mBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:22:38.656359Z"},"content_sha256":"af058af9261e10674fb4b95601ed62f3bd17ca184b8a289b88420d1388e2c401","schema_version":"1.0","event_id":"sha256:af058af9261e10674fb4b95601ed62f3bd17ca184b8a289b88420d1388e2c401"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WNATDDRW3ROYSPAIZUCUEVD2CO/bundle.json","state_url":"https://pith.science/pith/WNATDDRW3ROYSPAIZUCUEVD2CO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WNATDDRW3ROYSPAIZUCUEVD2CO/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":"2026-08-17T22:22:38Z","links":{"resolver":"https://pith.science/pith/WNATDDRW3ROYSPAIZUCUEVD2CO","bundle":"https://pith.science/pith/WNATDDRW3ROYSPAIZUCUEVD2CO/bundle.json","state":"https://pith.science/pith/WNATDDRW3ROYSPAIZUCUEVD2CO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WNATDDRW3ROYSPAIZUCUEVD2CO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WNATDDRW3ROYSPAIZUCUEVD2CO","merge_version":"pith-open-graph-merge-v1","event_count":5,"valid_event_count":5,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"62a0e7d63572b037b1ddef91e6201bd247207f442cfab95407106fefd1b56473","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T17:50:39Z","title_canon_sha256":"f18b4966ef7195c0351ffcf95b6fc7f453f9455c56cdbfe197f20e898c7d40ee"},"schema_version":"1.0","source":{"id":"2608.12304","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.12304","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"arxiv_version","alias_value":"2608.12304v1","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12304","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"pith_short_12","alias_value":"WNATDDRW3ROY","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"pith_short_16","alias_value":"WNATDDRW3ROYSPAI","created_at":"2026-08-13T01:30:45Z"},{"alias_kind":"pith_short_8","alias_value":"WNATDDRW","created_at":"2026-08-13T01:30:45Z"}],"graph_snapshots":[{"event_id":"sha256:4a63d81bcb83e8966c5bbe3d6885d988883830a3770a27d68e8b895a16d1c355","target":"graph","created_at":"2026-08-13T01:30:45Z","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/2608.12304/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements. However, DML construction typically relies on expert interpretation of technical documentation, limiting scalability for complex systems. This study presents a framework for automated construction of DML models from system descriptions and their representation as Knowledge Graphs (KG-DML), using Retrieval-Augmented Generation and Large Language Models as enabling tools. Building on prior work with small-scale systems, the framework ex","authors_text":"Mohammad Modarres, Saman Marandi, Yu-Shu Hu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T17:50:39Z","title":"Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12304","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":"sha256:72d7cd8f91c83c06218a1498feac84cebb3a2e6a7acace822d974df0b265cb5d","target":"record","created_at":"2026-08-13T01:30:45Z","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":"62a0e7d63572b037b1ddef91e6201bd247207f442cfab95407106fefd1b56473","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T17:50:39Z","title_canon_sha256":"f18b4966ef7195c0351ffcf95b6fc7f453f9455c56cdbfe197f20e898c7d40ee"},"schema_version":"1.0","source":{"id":"2608.12304","kind":"arxiv","version":1}},"canonical_sha256":"b341318e36dc5d893c08cd0542547a139e8c44af14a0f939c48cf7a424c662a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b341318e36dc5d893c08cd0542547a139e8c44af14a0f939c48cf7a424c662a5","first_computed_at":"2026-08-13T01:30:45.706135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-13T01:30:45.706135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LtlsyxS7vx/bhbNsDsRujUdWrMHKhze5euMu964m0+oFbzaPy2HWpfiXhD0eVK7t2Ldy1xsQ7HDss6zfwpmwAQ==","signature_status":"signed_v1","signed_at":"2026-08-13T01:30:45.708331Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.12304","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:5466905e2daf355b29364796194d13974ba519e15c392ce0d2d9f0d1f57258d4","sha256:5d5dd072aefd6df08816734e30d369896d7ef582b82aa9dfd66779bbef3728f2","sha256:af058af9261e10674fb4b95601ed62f3bd17ca184b8a289b88420d1388e2c401"]}],"invalid_events":[],"applied_event_ids":["sha256:72d7cd8f91c83c06218a1498feac84cebb3a2e6a7acace822d974df0b265cb5d","sha256:4a63d81bcb83e8966c5bbe3d6885d988883830a3770a27d68e8b895a16d1c355"],"state_sha256":"dfd0c9bf982a3d2b08a39d96c0a0f7f4cdad8026039848d0509992c3486ae08d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQMoGlLGH5GFUMb3GYRruyVs8kHDSA0RwJ4f/2gDdoIUWzsBS/4sNTMTagHaY4p3+IFv3B8AY5TeUM/dLY5eAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T22:22:38.658407Z","bundle_sha256":"508c085fd502b5e36a7979a5a5e0e7401b6d6fa148d1714328e62fb671fa599a"}}