{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:Y5RUDBE2ZAOABROUWAUCX45UKV","short_pith_number":"pith:Y5RUDBE2","canonical_record":{"source":{"id":"2208.12753","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-08-25T07:47:41Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"475fd93c568d6b1092f25a00aea0e610c0395882fc9dfbef92f7e6ee94335e22","abstract_canon_sha256":"7639142bb7e1a90a2348fdb0f089c2e10495f9686df185b70d11d415cca489e8"},"schema_version":"1.0"},"canonical_sha256":"c76341849ac81c00c5d4b0282bf3b4554862702be14f08b9269a22b4473044b9","source":{"kind":"arxiv","id":"2208.12753","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12753","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12753v1","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12753","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"Y5RUDBE2ZAOA","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"pith_short_16","alias_value":"Y5RUDBE2ZAOABROU","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"pith_short_8","alias_value":"Y5RUDBE2","created_at":"2026-07-05T04:51:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:Y5RUDBE2ZAOABROUWAUCX45UKV","target":"record","payload":{"canonical_record":{"source":{"id":"2208.12753","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-08-25T07:47:41Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"475fd93c568d6b1092f25a00aea0e610c0395882fc9dfbef92f7e6ee94335e22","abstract_canon_sha256":"7639142bb7e1a90a2348fdb0f089c2e10495f9686df185b70d11d415cca489e8"},"schema_version":"1.0"},"canonical_sha256":"c76341849ac81c00c5d4b0282bf3b4554862702be14f08b9269a22b4473044b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:51:49.565157Z","signature_b64":"sVPdGMHWAns3FBzerdqmFufCw2q/nHlQ2xZ8n+lmYI0zIW11FfZWosY/A0qs80u2qYru01gCiiPd3iKsw1gtDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c76341849ac81c00c5d4b0282bf3b4554862702be14f08b9269a22b4473044b9","last_reissued_at":"2026-07-05T04:51:49.564747Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:51:49.564747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.12753","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":"2026-07-05T04:51:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6RdL7g0chymj2wRObhCygDK/QvmV09qHGoB6ZHJu96b2epT2ltxteASYWP8AXGujWn7krwjzFKjGpnr+0/IbBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:51:56.608045Z"},"content_sha256":"8642e2a8f88d6b082c2e0f0c24f679705f830554720c37b0f5856d0592c69c7f","schema_version":"1.0","event_id":"sha256:8642e2a8f88d6b082c2e0f0c24f679705f830554720c37b0f5856d0592c69c7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:Y5RUDBE2ZAOABROUWAUCX45UKV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Chunyan Zeng, Nan Zhao, Shixiong Feng, Xiangkui Wan, Yunfan Chen, Zhifeng Wang","submitted_at":"2022-08-25T07:47:41Z","abstract_excerpt":"The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone related features which leads to insufficient recognition accuracy. In this paper, we propose a source cell-phone recognition method based on spatio-temporal representation learning, which includes two main parts: extraction of sequential Gaussian mean matrix features and construction of a recognition model based on spatio-temporal representation learning. In the feature extraction part, based on the analysis of time"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12753","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/2208.12753/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":"2026-07-05T04:51:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xevMjjoJHdBxdlWBr+d1s/MZdqRw3abg47Lu83YJ0kg3aCM4SJ0M46b3u9rcDOOlq2gkxnxDTnIi/nmzFzn2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:51:56.608439Z"},"content_sha256":"72c016ab43e1b1fd43d63b6fd748fb7fab7bea5748066884965a9939aaad63ac","schema_version":"1.0","event_id":"sha256:72c016ab43e1b1fd43d63b6fd748fb7fab7bea5748066884965a9939aaad63ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y5RUDBE2ZAOABROUWAUCX45UKV/bundle.json","state_url":"https://pith.science/pith/Y5RUDBE2ZAOABROUWAUCX45UKV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y5RUDBE2ZAOABROUWAUCX45UKV/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":"2026-07-05T11:51:56Z","links":{"resolver":"https://pith.science/pith/Y5RUDBE2ZAOABROUWAUCX45UKV","bundle":"https://pith.science/pith/Y5RUDBE2ZAOABROUWAUCX45UKV/bundle.json","state":"https://pith.science/pith/Y5RUDBE2ZAOABROUWAUCX45UKV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y5RUDBE2ZAOABROUWAUCX45UKV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Y5RUDBE2ZAOABROUWAUCX45UKV","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":"7639142bb7e1a90a2348fdb0f089c2e10495f9686df185b70d11d415cca489e8","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-08-25T07:47:41Z","title_canon_sha256":"475fd93c568d6b1092f25a00aea0e610c0395882fc9dfbef92f7e6ee94335e22"},"schema_version":"1.0","source":{"id":"2208.12753","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12753","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12753v1","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12753","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"Y5RUDBE2ZAOA","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"pith_short_16","alias_value":"Y5RUDBE2ZAOABROU","created_at":"2026-07-05T04:51:49Z"},{"alias_kind":"pith_short_8","alias_value":"Y5RUDBE2","created_at":"2026-07-05T04:51:49Z"}],"graph_snapshots":[{"event_id":"sha256:72c016ab43e1b1fd43d63b6fd748fb7fab7bea5748066884965a9939aaad63ac","target":"graph","created_at":"2026-07-05T04:51:49Z","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/2208.12753/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone related features which leads to insufficient recognition accuracy. In this paper, we propose a source cell-phone recognition method based on spatio-temporal representation learning, which includes two main parts: extraction of sequential Gaussian mean matrix features and construction of a recognition model based on spatio-temporal representation learning. In the feature extraction part, based on the analysis of time","authors_text":"Chunyan Zeng, Nan Zhao, Shixiong Feng, Xiangkui Wan, Yunfan Chen, Zhifeng Wang","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-08-25T07:47:41Z","title":"Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12753","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":"sha256:8642e2a8f88d6b082c2e0f0c24f679705f830554720c37b0f5856d0592c69c7f","target":"record","created_at":"2026-07-05T04:51:49Z","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":"7639142bb7e1a90a2348fdb0f089c2e10495f9686df185b70d11d415cca489e8","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-08-25T07:47:41Z","title_canon_sha256":"475fd93c568d6b1092f25a00aea0e610c0395882fc9dfbef92f7e6ee94335e22"},"schema_version":"1.0","source":{"id":"2208.12753","kind":"arxiv","version":1}},"canonical_sha256":"c76341849ac81c00c5d4b0282bf3b4554862702be14f08b9269a22b4473044b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c76341849ac81c00c5d4b0282bf3b4554862702be14f08b9269a22b4473044b9","first_computed_at":"2026-07-05T04:51:49.564747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:49.564747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sVPdGMHWAns3FBzerdqmFufCw2q/nHlQ2xZ8n+lmYI0zIW11FfZWosY/A0qs80u2qYru01gCiiPd3iKsw1gtDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:49.565157Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.12753","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8642e2a8f88d6b082c2e0f0c24f679705f830554720c37b0f5856d0592c69c7f","sha256:72c016ab43e1b1fd43d63b6fd748fb7fab7bea5748066884965a9939aaad63ac"],"state_sha256":"2f73f326f830eae996bcaac6d12728c8f41a467172a2a0a1a3acbafe772cac47"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yw9lY0zDBRgIz7sbmMT7otpBP1ABQx1L4qCghlDa7x9ialZyfuzrqyXj91nErYCoY+SHoehjqVkYHo2sHOQ7BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T11:51:56.610413Z","bundle_sha256":"4737d38f679bc36ee2446160d57a33a051b4ef79ae57547727eca16a4a223a95"}}