{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PNPT5GSVS5P3KJPDJ54WX66YUM","short_pith_number":"pith:PNPT5GSV","canonical_record":{"source":{"id":"2208.04654","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-08-09T10:31:10Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"4c418e01f80becb6d7b4db640d4d5a66c8495d347374041f6cbfcaae45d16374","abstract_canon_sha256":"6786e49270571e179d6a9ecd79471dc1e068427a48458d16cef6e9b741cce3e6"},"schema_version":"1.0"},"canonical_sha256":"7b5f3e9a55975fb525e34f796bfbd8a3288c74a9c5770c28457318f94c290efd","source":{"kind":"arxiv","id":"2208.04654","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04654","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04654v1","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04654","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"pith_short_12","alias_value":"PNPT5GSVS5P3","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"pith_short_16","alias_value":"PNPT5GSVS5P3KJPD","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"pith_short_8","alias_value":"PNPT5GSV","created_at":"2026-07-05T04:59:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PNPT5GSVS5P3KJPDJ54WX66YUM","target":"record","payload":{"canonical_record":{"source":{"id":"2208.04654","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-08-09T10:31:10Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"4c418e01f80becb6d7b4db640d4d5a66c8495d347374041f6cbfcaae45d16374","abstract_canon_sha256":"6786e49270571e179d6a9ecd79471dc1e068427a48458d16cef6e9b741cce3e6"},"schema_version":"1.0"},"canonical_sha256":"7b5f3e9a55975fb525e34f796bfbd8a3288c74a9c5770c28457318f94c290efd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:59:41.898916Z","signature_b64":"xtsjNwMo5vxLqhZ/IjtUCSSeMEFpHWyoocWgX7Y2GBWDJCDPRj5ob45tW9TfPQ5lXqUH2yn/nb8WYtPrMjjUBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b5f3e9a55975fb525e34f796bfbd8a3288c74a9c5770c28457318f94c290efd","last_reissued_at":"2026-07-05T04:59:41.898521Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:59:41.898521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.04654","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":"2026-07-05T04:59:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A4z6GN4+G6GtB+hKOKsl9NO27mrDrIIeLhuttDaFCe62+t4jDmWaANlU8689oWdQ/ZpeVI+pXGM4psCY8ZW1Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:16:12.471659Z"},"content_sha256":"623398a4518deb3936b20682b18171e081965e238edf536a65fa44ea93f3568e","schema_version":"1.0","event_id":"sha256:623398a4518deb3936b20682b18171e081965e238edf536a65fa44ea93f3568e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PNPT5GSVS5P3KJPDJ54WX66YUM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extending GCC-PHAT using Shift Equivariant Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Axel Berg, Kalle {\\AA}str\\\"om, Magnus Oskarsson, Mark O'Connor","submitted_at":"2022-08-09T10:31:10Z","abstract_excerpt":"Speaker localization using microphone arrays depends on accurate time delay estimation techniques. For decades, methods based on the generalized cross correlation with phase transform (GCC-PHAT) have been widely adopted for this purpose. Recently, the GCC-PHAT has also been used to provide input features to neural networks in order to remove the effects of noise and reverberation, but at the cost of losing theoretical guarantees in noise-free conditions. We propose a novel approach to extending the GCC-PHAT, where the received signals are filtered using a shift equivariant neural network that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04654","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/2208.04654/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":"2026-07-05T04:59:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KEVt+T+LRvGf0afPMrwhkCG4ldiSWgNGZGyA6naVNw8CBdS8NpyB8Qh9Wqivqidw99zXsRElbdhdEnm1xOWLBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:16:12.472215Z"},"content_sha256":"8509dd715e12707e70548e78615bed9d3e30e17e0443f8d4ecc796e28453e061","schema_version":"1.0","event_id":"sha256:8509dd715e12707e70548e78615bed9d3e30e17e0443f8d4ecc796e28453e061"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PNPT5GSVS5P3KJPDJ54WX66YUM/bundle.json","state_url":"https://pith.science/pith/PNPT5GSVS5P3KJPDJ54WX66YUM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PNPT5GSVS5P3KJPDJ54WX66YUM/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":"2026-08-09T05:16:12Z","links":{"resolver":"https://pith.science/pith/PNPT5GSVS5P3KJPDJ54WX66YUM","bundle":"https://pith.science/pith/PNPT5GSVS5P3KJPDJ54WX66YUM/bundle.json","state":"https://pith.science/pith/PNPT5GSVS5P3KJPDJ54WX66YUM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PNPT5GSVS5P3KJPDJ54WX66YUM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PNPT5GSVS5P3KJPDJ54WX66YUM","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":"6786e49270571e179d6a9ecd79471dc1e068427a48458d16cef6e9b741cce3e6","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-08-09T10:31:10Z","title_canon_sha256":"4c418e01f80becb6d7b4db640d4d5a66c8495d347374041f6cbfcaae45d16374"},"schema_version":"1.0","source":{"id":"2208.04654","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04654","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04654v1","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04654","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"pith_short_12","alias_value":"PNPT5GSVS5P3","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"pith_short_16","alias_value":"PNPT5GSVS5P3KJPD","created_at":"2026-07-05T04:59:41Z"},{"alias_kind":"pith_short_8","alias_value":"PNPT5GSV","created_at":"2026-07-05T04:59:41Z"}],"graph_snapshots":[{"event_id":"sha256:8509dd715e12707e70548e78615bed9d3e30e17e0443f8d4ecc796e28453e061","target":"graph","created_at":"2026-07-05T04:59:41Z","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/2208.04654/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speaker localization using microphone arrays depends on accurate time delay estimation techniques. For decades, methods based on the generalized cross correlation with phase transform (GCC-PHAT) have been widely adopted for this purpose. Recently, the GCC-PHAT has also been used to provide input features to neural networks in order to remove the effects of noise and reverberation, but at the cost of losing theoretical guarantees in noise-free conditions. We propose a novel approach to extending the GCC-PHAT, where the received signals are filtered using a shift equivariant neural network that ","authors_text":"Axel Berg, Kalle {\\AA}str\\\"om, Magnus Oskarsson, Mark O'Connor","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-08-09T10:31:10Z","title":"Extending GCC-PHAT using Shift Equivariant Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04654","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":"sha256:623398a4518deb3936b20682b18171e081965e238edf536a65fa44ea93f3568e","target":"record","created_at":"2026-07-05T04:59:41Z","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":"6786e49270571e179d6a9ecd79471dc1e068427a48458d16cef6e9b741cce3e6","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-08-09T10:31:10Z","title_canon_sha256":"4c418e01f80becb6d7b4db640d4d5a66c8495d347374041f6cbfcaae45d16374"},"schema_version":"1.0","source":{"id":"2208.04654","kind":"arxiv","version":1}},"canonical_sha256":"7b5f3e9a55975fb525e34f796bfbd8a3288c74a9c5770c28457318f94c290efd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b5f3e9a55975fb525e34f796bfbd8a3288c74a9c5770c28457318f94c290efd","first_computed_at":"2026-07-05T04:59:41.898521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:59:41.898521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xtsjNwMo5vxLqhZ/IjtUCSSeMEFpHWyoocWgX7Y2GBWDJCDPRj5ob45tW9TfPQ5lXqUH2yn/nb8WYtPrMjjUBg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:59:41.898916Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.04654","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:623398a4518deb3936b20682b18171e081965e238edf536a65fa44ea93f3568e","sha256:8509dd715e12707e70548e78615bed9d3e30e17e0443f8d4ecc796e28453e061"],"state_sha256":"c53d644691b72e8af4875dbd76e3d10f38bd50d6aa9d51927b14e05eaaac4772"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oYfb/Dg8dUvsr3XzrGS9QxEP1YgpkRRk0o8lS26mQENc2+jFgEZHCpnml+X+s6tAZfnMakPmq/1dN6QZx1QSBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:16:12.478022Z","bundle_sha256":"1fb09c5b589261ed17a015263c71772e4f39b0a0b6e4e8ce4158f013ecb997e6"}}