{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XJWDOS4N4KTOH2DIJV4YTTYNXK","short_pith_number":"pith:XJWDOS4N","canonical_record":{"source":{"id":"2607.28158","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-07-30T12:59:39Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"ae21d2520cfca20389b6f832b8732e9103c3e62787dfef8b3f30c86e55eaf169","abstract_canon_sha256":"4b5ea38effece7d30ec583d0ae8e029f2bebb7e2007702264fb85c60319b2a04"},"schema_version":"1.0"},"canonical_sha256":"ba6c374b8de2a6e3e8684d7989cf0dbaa4b19c05ea908819ce1ab661ac663cd0","source":{"kind":"arxiv","id":"2607.28158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28158","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28158v1","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28158","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"XJWDOS4N4KTO","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"XJWDOS4N4KTOH2DI","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"XJWDOS4N","created_at":"2026-07-31T01:36:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XJWDOS4N4KTOH2DIJV4YTTYNXK","target":"record","payload":{"canonical_record":{"source":{"id":"2607.28158","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-07-30T12:59:39Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"ae21d2520cfca20389b6f832b8732e9103c3e62787dfef8b3f30c86e55eaf169","abstract_canon_sha256":"4b5ea38effece7d30ec583d0ae8e029f2bebb7e2007702264fb85c60319b2a04"},"schema_version":"1.0"},"canonical_sha256":"ba6c374b8de2a6e3e8684d7989cf0dbaa4b19c05ea908819ce1ab661ac663cd0","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba6c374b8de2a6e3e8684d7989cf0dbaa4b19c05ea908819ce1ab661ac663cd0","last_reissued_at":"2026-07-31T01:36:00.176465Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:36:00.176465Z"},"source_kind":"arxiv","source_id":"2607.28158","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":"2026-07-31T01:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LuxsuLQfHFE58qwywhUwEzX5sSTtgLRzn3m9B/u8vFbwkCScmK0Nb/As9QroS6iofqZg0eVTxjobrDIZyRXSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T14:53:40.594183Z"},"content_sha256":"6a11fdcda5c22473a3195d50b6d779438fa92ffa069bd9ae3d173c4296bca843","schema_version":"1.0","event_id":"sha256:6a11fdcda5c22473a3195d50b6d779438fa92ffa069bd9ae3d173c4296bca843"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XJWDOS4N4KTOH2DIJV4YTTYNXK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Average Consensus Filtering and Distributed State Estimation for Boolean Control Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Chi Huang, Rong Yang","submitted_at":"2026-07-30T12:59:39Z","abstract_excerpt":"This paper addresses the distributed multi-sensor fusion state estimation and consensus filtering for Boolean control networks (BCNs). Existing centralized multi-sensor estimation schemes for stochastic BCNs have limitations of high communication costs and single-point failures, and continuous-state consensus algorithms are difficult to extend to discrete logical systems. By integrating probability measure transformation, semi-tensor product and stochastic approximation, a distributed stochastic average consensus filter is proposed. Moreover, the almost sure convergence of the algorithm is pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28158","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/2607.28158/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":"2026-07-31T01:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RXRfWe/kqa6ijdIEEr/TpaZNpFmnNVwrV6jGAbsXH2/DO2tBOLew8+Ux/bA5Ej3EvQwnGe8Pt0BCrPa/kQK7Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T14:53:40.594714Z"},"content_sha256":"926a3670a19e658891738f1c42f7ffcfcdf0a59ae6472c8bd97ab86289adc868","schema_version":"1.0","event_id":"sha256:926a3670a19e658891738f1c42f7ffcfcdf0a59ae6472c8bd97ab86289adc868"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK/bundle.json","state_url":"https://pith.science/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK/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":"2026-08-01T14:53:40Z","links":{"resolver":"https://pith.science/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK","bundle":"https://pith.science/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK/bundle.json","state":"https://pith.science/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XJWDOS4N4KTOH2DIJV4YTTYNXK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XJWDOS4N4KTOH2DIJV4YTTYNXK","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":"4b5ea38effece7d30ec583d0ae8e029f2bebb7e2007702264fb85c60319b2a04","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-07-30T12:59:39Z","title_canon_sha256":"ae21d2520cfca20389b6f832b8732e9103c3e62787dfef8b3f30c86e55eaf169"},"schema_version":"1.0","source":{"id":"2607.28158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28158","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28158v1","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28158","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"XJWDOS4N4KTO","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"XJWDOS4N4KTOH2DI","created_at":"2026-07-31T01:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"XJWDOS4N","created_at":"2026-07-31T01:36:00Z"}],"graph_snapshots":[{"event_id":"sha256:926a3670a19e658891738f1c42f7ffcfcdf0a59ae6472c8bd97ab86289adc868","target":"graph","created_at":"2026-07-31T01:36:00Z","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/2607.28158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the distributed multi-sensor fusion state estimation and consensus filtering for Boolean control networks (BCNs). Existing centralized multi-sensor estimation schemes for stochastic BCNs have limitations of high communication costs and single-point failures, and continuous-state consensus algorithms are difficult to extend to discrete logical systems. By integrating probability measure transformation, semi-tensor product and stochastic approximation, a distributed stochastic average consensus filter is proposed. Moreover, the almost sure convergence of the algorithm is pro","authors_text":"Chi Huang, Rong Yang","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-07-30T12:59:39Z","title":"Stochastic Average Consensus Filtering and Distributed State Estimation for Boolean Control Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28158","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":"sha256:6a11fdcda5c22473a3195d50b6d779438fa92ffa069bd9ae3d173c4296bca843","target":"record","created_at":"2026-07-31T01:36:00Z","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":"4b5ea38effece7d30ec583d0ae8e029f2bebb7e2007702264fb85c60319b2a04","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-07-30T12:59:39Z","title_canon_sha256":"ae21d2520cfca20389b6f832b8732e9103c3e62787dfef8b3f30c86e55eaf169"},"schema_version":"1.0","source":{"id":"2607.28158","kind":"arxiv","version":1}},"canonical_sha256":"ba6c374b8de2a6e3e8684d7989cf0dbaa4b19c05ea908819ce1ab661ac663cd0","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba6c374b8de2a6e3e8684d7989cf0dbaa4b19c05ea908819ce1ab661ac663cd0","first_computed_at":"2026-07-31T01:36:00.176465Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:36:00.176465Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.28158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a11fdcda5c22473a3195d50b6d779438fa92ffa069bd9ae3d173c4296bca843","sha256:926a3670a19e658891738f1c42f7ffcfcdf0a59ae6472c8bd97ab86289adc868"],"state_sha256":"fa44d99a8a19a8d9c0d42f498c9f89c6e644b1a11b6b14e0dabdec358571ee58"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q7P+8Z1JfeDRsdy2UT/p9P6R3NnH1APw3KfcmIaaocGGG1bifnDN4Xg4SH4k2ZdcFtD5AI7wU4kV1qD7DbwSDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T14:53:40.600161Z","bundle_sha256":"537e1ec483a223ae5720d49d0a01f4f6551d564e96bad8f4279b92e73720ac4f"}}