{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B37PCDLIG6OHOBZF6GOVZ5FO6L","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":"06465c7168a47e749c174edd183b0285e7a35551b63031e1381c59a19035616f","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-01-07T18:45:29Z","title_canon_sha256":"1789fad9669cc67f892c6a1b0cca949813df5589e83f5c07011ad361cbd780f3"},"schema_version":"1.0","source":{"id":"2601.04178","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.04178","created_at":"2026-06-09T01:05:12Z"},{"alias_kind":"arxiv_version","alias_value":"2601.04178v2","created_at":"2026-06-09T01:05:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.04178","created_at":"2026-06-09T01:05:12Z"},{"alias_kind":"pith_short_12","alias_value":"B37PCDLIG6OH","created_at":"2026-06-09T01:05:12Z"},{"alias_kind":"pith_short_16","alias_value":"B37PCDLIG6OHOBZF","created_at":"2026-06-09T01:05:12Z"},{"alias_kind":"pith_short_8","alias_value":"B37PCDLI","created_at":"2026-06-09T01:05:12Z"}],"graph_snapshots":[{"event_id":"sha256:f1616b346c197af433b942b5fc724babeba9e790826ae4c72de290322bef2c6f","target":"graph","created_at":"2026-06-09T01:05:12Z","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/2601.04178/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal detection problems appear in many fields including time-series estimation, activity recognition and sound event detection (SED). In this work, we propose a new approach to temporal event modeling by explicitly modeling event onsets and offsets, and by introducing boundary-aware optimization and inference strategies that substantially enhance temporal event detection. The presented methodology incorporates new temporal modeling layers - Recurrent Event Detection (RED) and Event Proposal Network (EPN) - which, together with tailored loss functions, enable more effective and precise temp","authors_text":"Arnoldas Jasonas, Camilla Clark, \\c{C}a\\u{g}da\\c{s} Bilen, Chi Ian Tang, Cosmin Frateanu, Florian Schmid, Gerhard Widmer, Giacomo Ferroni, Juan Azcarreta Ortiz, Sanjeel Parekh, Vamsi Krishna Ithapu, Yijun Qian","cross_cats":["cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-01-07T18:45:29Z","title":"Sound Event Detection with Boundary-Aware Optimization and Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.04178","kind":"arxiv","version":2},"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":"sha256:4d7424983756bd649504a8eaa0e7016d9f5a3b953308c7943fc15ebdd248143c","target":"record","created_at":"2026-06-09T01:05:12Z","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":"06465c7168a47e749c174edd183b0285e7a35551b63031e1381c59a19035616f","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-01-07T18:45:29Z","title_canon_sha256":"1789fad9669cc67f892c6a1b0cca949813df5589e83f5c07011ad361cbd780f3"},"schema_version":"1.0","source":{"id":"2601.04178","kind":"arxiv","version":2}},"canonical_sha256":"0efef10d68379c770725f19d5cf4aef2dffe0d8ebe092c21e4659fe6fc653da5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0efef10d68379c770725f19d5cf4aef2dffe0d8ebe092c21e4659fe6fc653da5","first_computed_at":"2026-06-09T01:05:12.384195Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:12.384195Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WMcpgfZf94S2cnoR1z5MIlg65b5SoMZkhFdzBrXUOO1DiHtZWlZfkbQDy9uEdMLZXWKWWQZKSJuBAEnx471XAA==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:12.384694Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.04178","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d7424983756bd649504a8eaa0e7016d9f5a3b953308c7943fc15ebdd248143c","sha256:f1616b346c197af433b942b5fc724babeba9e790826ae4c72de290322bef2c6f"],"state_sha256":"ba6b762622c2e279036afd80921fa11232c4286ea26e9d648a9bf28a11cc0385"}