{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KQ7UGWHB7NJC2BBSHKG2WXJYJO","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":"f83a3168de6ebce94f56d354695e2ce8c89b309a4bba5d6a1d4f03fbe64c9032","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-03-28T10:53:20Z","title_canon_sha256":"20d49519f85ecedf7c1b414be91f48b4d91e1be1ff188d5fc5a1f465c299e021"},"schema_version":"1.0","source":{"id":"2203.14639","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14639","created_at":"2026-07-05T12:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14639v3","created_at":"2026-07-05T12:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14639","created_at":"2026-07-05T12:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"KQ7UGWHB7NJC","created_at":"2026-07-05T12:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"KQ7UGWHB7NJC2BBS","created_at":"2026-07-05T12:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"KQ7UGWHB","created_at":"2026-07-05T12:03:20Z"}],"graph_snapshots":[{"event_id":"sha256:fb43b9f2ab1f34159a423279d0bbb2404d435ec7466e2e1d1ae8bfe324c8cbc4","target":"graph","created_at":"2026-07-05T12:03:20Z","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/2203.14639/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study addresses the task of performing robust and reliable time-delay estimation in signals in noisy and reverberating environments. In contrast to the popular signal processing based methods, this paper proposes to transform the input signals using a deep neural network into another pair of sequences which show high cross correlation at the actual time delay. This is achieved with the help of a novel correlation function based objective function for training the network. The proposed approach is also intrinsically interpretable as it does not lose temporal information. Experimental evalu","authors_text":"Akshay Raina, Vipul Arora","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-03-28T10:53:20Z","title":"SyncNet: correlating objective for time delay estimation in audio signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14639","kind":"arxiv","version":3},"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:e54ee0baa295b78ee6206491dfa91f8a557bcd6a8afc99183812c434dcf84f3a","target":"record","created_at":"2026-07-05T12:03:20Z","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":"f83a3168de6ebce94f56d354695e2ce8c89b309a4bba5d6a1d4f03fbe64c9032","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-03-28T10:53:20Z","title_canon_sha256":"20d49519f85ecedf7c1b414be91f48b4d91e1be1ff188d5fc5a1f465c299e021"},"schema_version":"1.0","source":{"id":"2203.14639","kind":"arxiv","version":3}},"canonical_sha256":"543f4358e1fb522d04323a8dab5d384b9196e1dbb8be027e7b4131b194cf29df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"543f4358e1fb522d04323a8dab5d384b9196e1dbb8be027e7b4131b194cf29df","first_computed_at":"2026-07-05T12:03:20.405110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:20.405110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VXEJR4QdxEcuv3hmIDQCDk3ItZHi7OTgqsFtCm0PTJGvfNsR9b2lkBvVgqw42Uvq6rrNdJopmMMpUMjptQCDBA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:20.405610Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.14639","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e54ee0baa295b78ee6206491dfa91f8a557bcd6a8afc99183812c434dcf84f3a","sha256:fb43b9f2ab1f34159a423279d0bbb2404d435ec7466e2e1d1ae8bfe324c8cbc4"],"state_sha256":"4850e4b1aca978e6d881d1da22eca6dc4e30e51c97cc9b4eef2acd11f584ea7a"}