{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY","short_pith_number":"pith:SX5VGFQX","canonical_record":{"source":{"id":"2605.19233","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-19T01:05:16Z","cross_cats_sorted":["cs.LG","quant-ph"],"title_canon_sha256":"aafd6e47d6ec45bdbba24efbf4c13cb72989f4dacf0e47bef37bb3c35ac57a1e","abstract_canon_sha256":"b75d16f792da801042ab6d1f6a2339ef977d312941f5a88a1ea89c9a620b179f"},"schema_version":"1.0"},"canonical_sha256":"95fb53161786de173b76b2b678634d8e181d2da8be7bcb14054a06594f9c828b","source":{"kind":"arxiv","id":"2605.19233","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19233","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19233v1","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19233","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"SX5VGFQXQ3PB","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"SX5VGFQXQ3PBOO3W","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"SX5VGFQX","created_at":"2026-05-20T01:05:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY","target":"record","payload":{"canonical_record":{"source":{"id":"2605.19233","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-19T01:05:16Z","cross_cats_sorted":["cs.LG","quant-ph"],"title_canon_sha256":"aafd6e47d6ec45bdbba24efbf4c13cb72989f4dacf0e47bef37bb3c35ac57a1e","abstract_canon_sha256":"b75d16f792da801042ab6d1f6a2339ef977d312941f5a88a1ea89c9a620b179f"},"schema_version":"1.0"},"canonical_sha256":"95fb53161786de173b76b2b678634d8e181d2da8be7bcb14054a06594f9c828b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:34.768568Z","signature_b64":"srqQ5dAIXk57AZvt9iq5RmrVNfTzapu4hXb629QdBBrHr8VcW0uPdrqfLOQjwquJio7qvE9g3wXO5W4VhJ7TCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95fb53161786de173b76b2b678634d8e181d2da8be7bcb14054a06594f9c828b","last_reissued_at":"2026-05-20T01:05:34.768037Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:34.768037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.19233","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":"2026-05-20T01:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U4V0n1dfRpGSuHcdWSXdjhRWl4jRAFD5cQR/WPFdyzucm0UgKEyFAJplH7o+2dk5iT/spdbLHo6Sufgic8z+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T15:03:26.263210Z"},"content_sha256":"c782ac50287a2e5ea6f345db1ce89bd2b49e8b8abd5587125555528693903fbd","schema_version":"1.0","event_id":"sha256:c782ac50287a2e5ea6f345db1ce89bd2b49e8b8abd5587125555528693903fbd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","quant-ph"],"primary_cat":"cs.CR","authors_text":"Camilo Segura Quintero, Carlos A. Dur\\'an Paredes, German Dar\\'io D\\'iaz, Javier E. Le\\'on Calder\\'on, Nicol\\'as S\\'anchez Perea","submitted_at":"2026-05-19T01:05:16Z","abstract_excerpt":"Unmanned aerial vehicles (UAVs) are cyber-physical systems whose attack surface spans networked avionics and on-board sensor fusion: a compromised GPS or battery module can mimic a benign mission segment and evade naive anomaly detectors. We present a leakage-free evaluation of quantum machine learning for UAV anomaly detection on the multi-sensor TLM:UAV benchmark. Three contributions support the study. (i) A group-aware temporal protocol (B2) partitions the dataset into ten contiguous TimeUS blocks and evaluates over ten seeds, eliminating the inflation produced by random stratified splits t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19233","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/2605.19233/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":"2026-05-20T01:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4cwiaKVsA1cxSR+6W7wBX2LlNtt1dgukOF1Xdy4DBpbTbthisL35pqdk2jEb1ti6mnJgUuxJl4RY+vJfz+C5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T15:03:26.263616Z"},"content_sha256":"fa8bba447ae0d83ee564b58b7234f192e8aa3fe723d641c997238f5088cf1464","schema_version":"1.0","event_id":"sha256:fa8bba447ae0d83ee564b58b7234f192e8aa3fe723d641c997238f5088cf1464"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1016/j.engappai.2024.10796110) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"H. Deng, Y. Lu, T. Yang, Z. Liu, and J. Chen, “Unmanned aerial vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network,”Eng. Appl. Artif. Intell., vol. 132, p. 107961, 2024. https://doi.org/1","arxiv_id":"2605.19233","detector":"doi_compliance","evidence":{"ref_index":16,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"H. Deng, Y. Lu, T. Yang, Z. Liu, and J. Chen, “Unmanned aerial vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network,”Eng. Appl. Artif. Intell., vol. 132, p. 107961, 2024. https://doi.org/1","reconstructed_doi":"10.1016/j.engappai.2024.10796110"},"severity":"advisory","ref_index":16,"audited_at":"2026-05-20T05:29:27.286712Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.engappai.2024.10796110","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"f400f4502cf7f2ec91214c8d8c05b82bfb974fc3644c5ae6d087580615c2101d","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4806,"payload_sha256":"dcfd52801c7e692573dc9a006c7a8d5f0694d895f94c7ac7500c1bde7aa50d64","signature_b64":"3A4KzZegkeeCbY3z4+5ogbz3lgiCF/mEVg2PDtWqI+m3qn+wl8lCRcZiPf3a/3y4Qbb/7m/RZng2LFtmcXQPAQ==","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":"2026-05-20T05:32:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fwj9IabkLqXmjh8fJG9H5NwYk0WJRM1+Yub/BvuD6j8V7khXtK/0INLrWg8bC4DXKyRhkMTUbeMUlTdA0Vs/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T15:03:26.264551Z"},"content_sha256":"1bbb0bf229a4d8e7acadd1e77aa23e25659f9405f52753b21bf106f1de5fc9cf","schema_version":"1.0","event_id":"sha256:1bbb0bf229a4d8e7acadd1e77aa23e25659f9405f52753b21bf106f1de5fc9cf"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY","target":"integrity","payload":{"note":"Identifier '10.1109/jiot.2020.2973140' 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":"G. Choudhary, V. Sharma, I. You, K. Yim, R. Chen, and J. H. Cho, “Intrusion detection systems for networked unmanned aerial vehicles: A survey,”IEEE Internet Things J., vol. 7, no. 7, pp. 6047–6064, 2020.https://doi.org/10.1109/JIOT.2020.29","arxiv_id":"2605.19233","detector":"doi_compliance","evidence":{"doi":"10.1109/jiot.2020.2973140","arxiv_id":null,"ref_index":13,"raw_excerpt":"G. Choudhary, V. Sharma, I. You, K. Yim, R. Chen, and J. H. Cho, “Intrusion detection systems for networked unmanned aerial vehicles: A survey,”IEEE Internet Things J., vol. 7, no. 7, pp. 6047–6064, 2020.https://doi.org/10.1109/JIOT.2020.2973140","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":13,"audited_at":"2026-05-20T05:29:27.286712Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/jiot.2020.2973140","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"352da77879873752a3b9b6d9bdd760d643de822a439822ee26cbc7276710384d","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4805,"payload_sha256":"74dbd71e8869b1f5e8beba87a99ef84b60b834de2671eb22bd9c95778b8a532b","signature_b64":"zHgcLngk21KAd2b8IAVvzVeHcpSVQS2GodCQtXlNeI8rNGk2WcJOc08C/kBEeoR1qLp9bnVpTBLwrGXNy2JlBQ==","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":"2026-05-20T05:32:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dUq9fORc167FSTIh5I7ZSnj2TMRjSuVhw9uH+CVtDUadTEoTB6FA/KzFUIUrYhF6VUWAJP8Jy4+/KC2XwXmBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T15:03:26.264865Z"},"content_sha256":"c5085ad5703f339ca027bdd321c7626b138e80a43a2ccb6add78115651a94209","schema_version":"1.0","event_id":"sha256:c5085ad5703f339ca027bdd321c7626b138e80a43a2ccb6add78115651a94209"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY/bundle.json","state_url":"https://pith.science/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY/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":"2026-05-21T15:03:26Z","links":{"resolver":"https://pith.science/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY","bundle":"https://pith.science/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY/bundle.json","state":"https://pith.science/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SX5VGFQXQ3PBOO3WWK3HQY2NRY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b75d16f792da801042ab6d1f6a2339ef977d312941f5a88a1ea89c9a620b179f","cross_cats_sorted":["cs.LG","quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-19T01:05:16Z","title_canon_sha256":"aafd6e47d6ec45bdbba24efbf4c13cb72989f4dacf0e47bef37bb3c35ac57a1e"},"schema_version":"1.0","source":{"id":"2605.19233","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19233","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19233v1","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19233","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"SX5VGFQXQ3PB","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"SX5VGFQXQ3PBOO3W","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"SX5VGFQX","created_at":"2026-05-20T01:05:34Z"}],"graph_snapshots":[{"event_id":"sha256:fa8bba447ae0d83ee564b58b7234f192e8aa3fe723d641c997238f5088cf1464","target":"graph","created_at":"2026-05-20T01:05:34Z","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/2605.19233/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unmanned aerial vehicles (UAVs) are cyber-physical systems whose attack surface spans networked avionics and on-board sensor fusion: a compromised GPS or battery module can mimic a benign mission segment and evade naive anomaly detectors. We present a leakage-free evaluation of quantum machine learning for UAV anomaly detection on the multi-sensor TLM:UAV benchmark. Three contributions support the study. (i) A group-aware temporal protocol (B2) partitions the dataset into ten contiguous TimeUS blocks and evaluates over ten seeds, eliminating the inflation produced by random stratified splits t","authors_text":"Camilo Segura Quintero, Carlos A. Dur\\'an Paredes, German Dar\\'io D\\'iaz, Javier E. Le\\'on Calder\\'on, Nicol\\'as S\\'anchez Perea","cross_cats":["cs.LG","quant-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-19T01:05:16Z","title":"Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19233","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:c782ac50287a2e5ea6f345db1ce89bd2b49e8b8abd5587125555528693903fbd","target":"record","created_at":"2026-05-20T01:05:34Z","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":"b75d16f792da801042ab6d1f6a2339ef977d312941f5a88a1ea89c9a620b179f","cross_cats_sorted":["cs.LG","quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-19T01:05:16Z","title_canon_sha256":"aafd6e47d6ec45bdbba24efbf4c13cb72989f4dacf0e47bef37bb3c35ac57a1e"},"schema_version":"1.0","source":{"id":"2605.19233","kind":"arxiv","version":1}},"canonical_sha256":"95fb53161786de173b76b2b678634d8e181d2da8be7bcb14054a06594f9c828b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95fb53161786de173b76b2b678634d8e181d2da8be7bcb14054a06594f9c828b","first_computed_at":"2026-05-20T01:05:34.768037Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:34.768037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"srqQ5dAIXk57AZvt9iq5RmrVNfTzapu4hXb629QdBBrHr8VcW0uPdrqfLOQjwquJio7qvE9g3wXO5W4VhJ7TCQ==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:34.768568Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.19233","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:1bbb0bf229a4d8e7acadd1e77aa23e25659f9405f52753b21bf106f1de5fc9cf","sha256:c5085ad5703f339ca027bdd321c7626b138e80a43a2ccb6add78115651a94209"]}],"invalid_events":[],"applied_event_ids":["sha256:c782ac50287a2e5ea6f345db1ce89bd2b49e8b8abd5587125555528693903fbd","sha256:fa8bba447ae0d83ee564b58b7234f192e8aa3fe723d641c997238f5088cf1464"],"state_sha256":"73a069acf1c46ebd79af583113947cae72e556a4beebc2fe94f6620de5247961"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ALGe85Z+OV5sXQpNjSAXAPZaGz8KDROca8jxlhpi2geB92okeVOFnzKD4TYlST1Y+1oHCdxqNHPRfFvJmZPnDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T15:03:26.267202Z","bundle_sha256":"614430caa3f7b4eedca24e141453e3d5371e1190a2f888ce8ffbfc2465c9457d"}}