{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RUJ4TXNBDBOAKWILS7H23BH7HQ","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":"16efd15aeb0e6d6ce0e1656679c70eb62b638c8d49486b1717d8902035b396f2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-09T18:49:13Z","title_canon_sha256":"13bef90b85f9f11d8b17ac14e6b691eb4189435c72cf4042436e1bc4d2d636b4"},"schema_version":"1.0","source":{"id":"2608.08859","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08859","created_at":"2026-08-11T01:25:33Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08859v1","created_at":"2026-08-11T01:25:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08859","created_at":"2026-08-11T01:25:33Z"},{"alias_kind":"pith_short_12","alias_value":"RUJ4TXNBDBOA","created_at":"2026-08-11T01:25:33Z"},{"alias_kind":"pith_short_16","alias_value":"RUJ4TXNBDBOAKWIL","created_at":"2026-08-11T01:25:33Z"},{"alias_kind":"pith_short_8","alias_value":"RUJ4TXNB","created_at":"2026-08-11T01:25:33Z"}],"graph_snapshots":[{"event_id":"sha256:c6b86b8dbdf513bf8ea40717d36f5cf9bd8daf67d5ccba0b05c9b32fa4de79d3","target":"graph","created_at":"2026-08-11T01:25:33Z","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/2608.08859/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wireless Body Area Networks (WBANs) generate multivariate physiological time series that are highly nonstationary and must often be processed under strict computational and memory constraints. A critical yet underexplored challenge in this setting is selecting an appropriate temporal receptive field, which serves as a strong inductive bias for anomaly detection models. Existing approaches typically rely on fixed temporal contexts, which can perform inconsistently across heterogeneous signal regimes and require dataset-specific tuning. We propose ORCA, an agentically controlled anomaly detectio","authors_text":"Anushka Roy, Chittaranjan Hota, Jyotirmoy Singh, Shreea Bose","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-09T18:49:13Z","title":"Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08859","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:aab20dfee5a19ed7e4e7828831f327fcebaa4fdf09b54ff34b1c6074a7c06464","target":"record","created_at":"2026-08-11T01:25:33Z","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":"16efd15aeb0e6d6ce0e1656679c70eb62b638c8d49486b1717d8902035b396f2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-09T18:49:13Z","title_canon_sha256":"13bef90b85f9f11d8b17ac14e6b691eb4189435c72cf4042436e1bc4d2d636b4"},"schema_version":"1.0","source":{"id":"2608.08859","kind":"arxiv","version":1}},"canonical_sha256":"8d13c9dda1185c05590b97cfad84ff3c0062a663173b2f13c3dbfd72bcf40c3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d13c9dda1185c05590b97cfad84ff3c0062a663173b2f13c3dbfd72bcf40c3e","first_computed_at":"2026-08-11T01:25:33.249630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:25:33.249630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cXddQ017pbdtV8KAPAtuV4GEgTKb4POzgIewg8HxWROBn6FSOnZrJnzoKEjx8XiR8vGcLPue7csJdT/ov21KBA==","signature_status":"signed_v1","signed_at":"2026-08-11T01:25:33.251978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.08859","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aab20dfee5a19ed7e4e7828831f327fcebaa4fdf09b54ff34b1c6074a7c06464","sha256:c6b86b8dbdf513bf8ea40717d36f5cf9bd8daf67d5ccba0b05c9b32fa4de79d3"],"state_sha256":"7f6dd31dd9ea721cc1ebbc3977a163a312344299a4e8218673476b8e6c65b1cd"}