{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","short_pith_number":"pith:E6VMC3NU","canonical_record":{"source":{"id":"2607.24588","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-27T15:53:19Z","cross_cats_sorted":[],"title_canon_sha256":"b73bf4bd240ef004eadf27be11fd76f26f1dc4a12ab97a27104697ad5e2109ce","abstract_canon_sha256":"39421cca4ee215c2c6523da35734540a1073b7c98be86853bc44b63c65e74f71"},"schema_version":"1.0"},"canonical_sha256":"27aac16db400877a599fbbb27962c328c6ed3323876d41dce62c7cd4fd9cbf1f","source":{"kind":"arxiv","id":"2607.24588","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24588","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24588v1","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24588","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"pith_short_12","alias_value":"E6VMC3NUACDX","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"pith_short_16","alias_value":"E6VMC3NUACDXUWM7","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"pith_short_8","alias_value":"E6VMC3NU","created_at":"2026-07-28T02:24:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","target":"record","payload":{"canonical_record":{"source":{"id":"2607.24588","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-27T15:53:19Z","cross_cats_sorted":[],"title_canon_sha256":"b73bf4bd240ef004eadf27be11fd76f26f1dc4a12ab97a27104697ad5e2109ce","abstract_canon_sha256":"39421cca4ee215c2c6523da35734540a1073b7c98be86853bc44b63c65e74f71"},"schema_version":"1.0"},"canonical_sha256":"27aac16db400877a599fbbb27962c328c6ed3323876d41dce62c7cd4fd9cbf1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T02:24:11.627999Z","signature_b64":"Mhg2gXL8S7/jT6YA1gdfOIC/rg4oX/E4mX9MgiMx6zmh7rXpzc78uvB5giuR8lchxGvHFS5eYRfzHWW4Ne4OCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27aac16db400877a599fbbb27962c328c6ed3323876d41dce62c7cd4fd9cbf1f","last_reissued_at":"2026-07-28T02:24:11.627160Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T02:24:11.627160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.24588","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":"2026-07-28T02:24:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nZhA0h695mEu46aR5hxitfiwKRlI/w59k81/3XiOJ+PSBRkL6LGjEyZnWuM0kAhWxCLNS1vnv8cBq5GsuuODAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:37:58.428825Z"},"content_sha256":"4f9b290a41fff34c9d4bb2cdb76e155528e39a8af9895c6c48b60b5fc9e24443","schema_version":"1.0","event_id":"sha256:4f9b290a41fff34c9d4bb2cdb76e155528e39a8af9895c6c48b60b5fc9e24443"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Fan Liu, Hang Ni, Hao Liu, Mengqian Lu, Weijia Zhang","submitted_at":"2026-07-27T15:53:19Z","abstract_excerpt":"Early warning of extreme weather is essential for mitigating the societal, economic, and environmental risks posed by hazardous weather events. However, expert-centered warning workflows are costly, labor-intensive, and difficult to scale throughout the warning-to-action process. Although recent advances in Large Language Model (LLM) agents have enabled the automation of weather-related tasks, existing studies remain centered on isolated scientific tasks and overlook the chain of interdependent processes required for operational extreme-weather early warning. To bridge this gap, this study inv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24588","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/2607.24588/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":"2026-07-28T02:24:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xz+WFqkka2iO4AbMEm7fdOP1Hsf1s/E557fE0uaZaeIzvfF875QkdfnI4NDZNTxTXxSeO1YsjTHl/5W8sg7dCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:37:58.429394Z"},"content_sha256":"bd1bb56a3ebc563da73070107ffe510e1c16316b153e102d34e223c1ce8534cc","schema_version":"1.0","event_id":"sha256:bd1bb56a3ebc563da73070107ffe510e1c16316b153e102d34e223c1ce8534cc"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2026.findings-eacl.350) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"CrisiText: A dataset of warning messages for LLM training in emergency communication. InFindings of the Association for Computational Linguistics: EACL 2026, Vera Demberg, Kentaro Inui, and Lluís Marquez (Eds.). Association for Computationa","arxiv_id":"2607.24588","detector":"doi_compliance","evidence":{"ref_index":2026,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2026","reconstructed_doi":"10.18653/v1/2026.findings-eacl.350"},"severity":"advisory","ref_index":2026,"audited_at":"2026-07-31T11:22:03.148792Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2026.findings-eacl.350","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"7f71011a8e6eb96164c91d7fcfba4d9073749eb096f907e51eb3527e568f35da","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":14337,"payload_sha256":"c7554d29e94e3b4b3e10a342531bcb29978d1ca11be1621b74828f24ff518d74","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T11:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EtKG/kAOnO+uqkUDFQF4Veq1g6Ftz0vlTm6j7Vd7iC23IodKFuNWvKMcpf2BaoUoGpTSvSIa/t43qFeHTrX7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:37:58.431568Z"},"content_sha256":"d6483459268b574bc9884677572deeaf8f7eb6db7700340a500bf8f7ed1b1afb","schema_version":"1.0","event_id":"sha256:d6483459268b574bc9884677572deeaf8f7eb6db7700340a500bf8f7ed1b1afb"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2026.findings-acl.1067) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Hao Wang, Jindong Han, Wei Fan, and Hao Liu. 2026. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis. InFindings of the Association for Computational Linguistics: ACL 2026, Maria Liakata, Viviane P. Moreira, Jiajun","arxiv_id":"2607.24588","detector":"doi_compliance","evidence":{"ref_index":39,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/","reconstructed_doi":"10.18653/v1/2026.findings-acl.1067"},"severity":"advisory","ref_index":39,"audited_at":"2026-07-31T11:22:03.148792Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2026.findings-acl.1067","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8752393e1becec87a48d5ba33b55409caf39397510bc19766327487ac39a7bbc","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":14336,"payload_sha256":"77d65c6aea9a32cd015e4619ab514a565c309f0616c1f76b7aeda782e60afaa2","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T11:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y+BgHJ1COdsFdFfWtZHGLuMnuNqGY1pUps2rX1VaHtDqgpS8r1plY3sphCdkmro3diKSykwTDaZ6OUgkoLmxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:37:58.431961Z"},"content_sha256":"c7d1d148acb7b3d81716f3030d0dd41c54b08baf71964e0e58c7fbe65d8e4194","schema_version":"1.0","event_id":"sha256:c7d1d148acb7b3d81716f3030d0dd41c54b08baf71964e0e58c7fbe65d8e4194"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2026.findings-acl.275) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Soyeon Kim, Cheongwoong Kang, Myeongjin Lee, Eun-Chul Chang, Lee Jaedeok, and Jaesik Choi. 2026. K-MetBench: A Multi-Dimensional Benchmark for Fine- Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorol- ogy. InFin","arxiv_id":"2607.24588","detector":"doi_compliance","evidence":{"ref_index":14,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2026.findin","reconstructed_doi":"10.18653/v1/2026.findings-acl.275"},"severity":"advisory","ref_index":14,"audited_at":"2026-07-31T11:22:03.148792Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2026.findings-acl.275","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ca7bd508004f3a6eb96c10d9b74276ebaa1ea19e4148f21fc16d3bd3db7bcb2a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":14335,"payload_sha256":"4130ea515d623793b5ab4f6063e5ce2fc05c8be9a09ed2f25c18859975503328","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T11:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yntrtMCeY4rVJ8LrY3/P/izQ1fgQ9hvbby09BFTPvxPumRpIPmkUfizg2GC9GaS38QRwU1vIBj2yyvv2IDqeDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:37:58.432319Z"},"content_sha256":"946ec3d4850550a887276434abf415db8b1a184172dafd405ab783339ea4d258","schema_version":"1.0","event_id":"sha256:946ec3d4850550a887276434abf415db8b1a184172dafd405ab783339ea4d258"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E6VMC3NUACDXUWM7XOZHSYWDFD/bundle.json","state_url":"https://pith.science/pith/E6VMC3NUACDXUWM7XOZHSYWDFD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E6VMC3NUACDXUWM7XOZHSYWDFD/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":"2026-08-08T03:37:58Z","links":{"resolver":"https://pith.science/pith/E6VMC3NUACDXUWM7XOZHSYWDFD","bundle":"https://pith.science/pith/E6VMC3NUACDXUWM7XOZHSYWDFD/bundle.json","state":"https://pith.science/pith/E6VMC3NUACDXUWM7XOZHSYWDFD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E6VMC3NUACDXUWM7XOZHSYWDFD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:E6VMC3NUACDXUWM7XOZHSYWDFD","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":"39421cca4ee215c2c6523da35734540a1073b7c98be86853bc44b63c65e74f71","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-27T15:53:19Z","title_canon_sha256":"b73bf4bd240ef004eadf27be11fd76f26f1dc4a12ab97a27104697ad5e2109ce"},"schema_version":"1.0","source":{"id":"2607.24588","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24588","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24588v1","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24588","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"pith_short_12","alias_value":"E6VMC3NUACDX","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"pith_short_16","alias_value":"E6VMC3NUACDXUWM7","created_at":"2026-07-28T02:24:11Z"},{"alias_kind":"pith_short_8","alias_value":"E6VMC3NU","created_at":"2026-07-28T02:24:11Z"}],"graph_snapshots":[{"event_id":"sha256:bd1bb56a3ebc563da73070107ffe510e1c16316b153e102d34e223c1ce8534cc","target":"graph","created_at":"2026-07-28T02:24:11Z","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/2607.24588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Early warning of extreme weather is essential for mitigating the societal, economic, and environmental risks posed by hazardous weather events. However, expert-centered warning workflows are costly, labor-intensive, and difficult to scale throughout the warning-to-action process. Although recent advances in Large Language Model (LLM) agents have enabled the automation of weather-related tasks, existing studies remain centered on isolated scientific tasks and overlook the chain of interdependent processes required for operational extreme-weather early warning. To bridge this gap, this study inv","authors_text":"Fan Liu, Hang Ni, Hao Liu, Mengqian Lu, Weijia Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-27T15:53:19Z","title":"SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24588","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":"sha256:4f9b290a41fff34c9d4bb2cdb76e155528e39a8af9895c6c48b60b5fc9e24443","target":"record","created_at":"2026-07-28T02:24:11Z","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":"39421cca4ee215c2c6523da35734540a1073b7c98be86853bc44b63c65e74f71","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-27T15:53:19Z","title_canon_sha256":"b73bf4bd240ef004eadf27be11fd76f26f1dc4a12ab97a27104697ad5e2109ce"},"schema_version":"1.0","source":{"id":"2607.24588","kind":"arxiv","version":1}},"canonical_sha256":"27aac16db400877a599fbbb27962c328c6ed3323876d41dce62c7cd4fd9cbf1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27aac16db400877a599fbbb27962c328c6ed3323876d41dce62c7cd4fd9cbf1f","first_computed_at":"2026-07-28T02:24:11.627160Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T02:24:11.627160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Mhg2gXL8S7/jT6YA1gdfOIC/rg4oX/E4mX9MgiMx6zmh7rXpzc78uvB5giuR8lchxGvHFS5eYRfzHWW4Ne4OCw==","signature_status":"signed_v1","signed_at":"2026-07-28T02:24:11.627999Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24588","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:946ec3d4850550a887276434abf415db8b1a184172dafd405ab783339ea4d258","sha256:c7d1d148acb7b3d81716f3030d0dd41c54b08baf71964e0e58c7fbe65d8e4194","sha256:d6483459268b574bc9884677572deeaf8f7eb6db7700340a500bf8f7ed1b1afb"]}],"invalid_events":[],"applied_event_ids":["sha256:4f9b290a41fff34c9d4bb2cdb76e155528e39a8af9895c6c48b60b5fc9e24443","sha256:bd1bb56a3ebc563da73070107ffe510e1c16316b153e102d34e223c1ce8534cc"],"state_sha256":"390e5054525ca849ef20afa2166b43e72d248b1acb740ba9190cbde01e509762"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GJ+st622vgks4VuPeQUXPxOqZQ7+De9+18lRtw+W61s4HziKPTgJcMctUcKwQnK3iPjhah0c89tXabo1E4FPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T03:37:58.435295Z","bundle_sha256":"1c7d69cb689c381c5ff23b00e0b0d4d5d36776c0b66bdfcf60603d05443134f1"}}