{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BNM7X5CXVMH6IC7D4OBMEHFI5J","short_pith_number":"pith:BNM7X5CX","canonical_record":{"source":{"id":"2402.13957","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-02-21T17:37:30Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"1c90dab9c2a41bd87084d37963b8ee6cb2d92d90d6c0dee5510f724af2d3cb7e","abstract_canon_sha256":"38afb9dbd34788e15df5a1898c18766d5aeb9e72cad6c285a4581045cb3163fb"},"schema_version":"1.0"},"canonical_sha256":"0b59fbf457ab0fe40be3e382c21ca8ea60986233ff71ffda77fb97933b3c70ff","source":{"kind":"arxiv","id":"2402.13957","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13957","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13957v2","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13957","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"BNM7X5CXVMH6","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"BNM7X5CXVMH6IC7D","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"BNM7X5CX","created_at":"2026-07-05T08:26:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BNM7X5CXVMH6IC7D4OBMEHFI5J","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13957","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-02-21T17:37:30Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"1c90dab9c2a41bd87084d37963b8ee6cb2d92d90d6c0dee5510f724af2d3cb7e","abstract_canon_sha256":"38afb9dbd34788e15df5a1898c18766d5aeb9e72cad6c285a4581045cb3163fb"},"schema_version":"1.0"},"canonical_sha256":"0b59fbf457ab0fe40be3e382c21ca8ea60986233ff71ffda77fb97933b3c70ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:26:20.230182Z","signature_b64":"Sz7d5NNAh+vs0kYdiRPuC+3lC/yFaXkuSNiU59x7ZWJwpx6Q8a1hR9Fp0pETwKdr13p25sMhPNOhqvg7ztfuDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b59fbf457ab0fe40be3e382c21ca8ea60986233ff71ffda77fb97933b3c70ff","last_reissued_at":"2026-07-05T08:26:20.229704Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:26:20.229704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13957","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Jt15MgXNrQAXVSbpJccKMG2s3XCKo9HTM3SbRFgqkQcGyg2Mt96bhrqnOd+oEDliaGaVWuU9Qb63ATEt5S/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:30:30.680635Z"},"content_sha256":"bb967bac7e01c473c9e68082d20e3f37a118c11877fbb9711545a16495b5b098","schema_version":"1.0","event_id":"sha256:bb967bac7e01c473c9e68082d20e3f37a118c11877fbb9711545a16495b5b098"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BNM7X5CXVMH6IC7D4OBMEHFI5J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Jyothi Swaroop Arlagadda Narasimharaju, Naveen Kunchakuri, Navin Kamuni, Sathishkumar Chintala, Venkat Kumar","submitted_at":"2024-02-21T17:37:30Z","abstract_excerpt":"Audio fingerprinting, exemplified by pioneers like Shazam, has transformed digital audio recognition. However, existing systems struggle with accuracy in challenging conditions, limiting broad applicability. This research proposes an AI and ML integrated audio fingerprinting algorithm to enhance accuracy. Built on the Dejavu Project's foundations, the study emphasizes real-world scenario simulations with diverse background noises and distortions. Signal processing, central to Dejavu's model, includes the Fast Fourier Transform, spectrograms, and peak extraction. The \"constellation\" concept and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13957","kind":"arxiv","version":2},"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/2402.13957/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":"2026-07-05T08:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KUq9sKL3ffEOu26mraITxrr3Ed2YTaQebc2OdRS5KCNXCcHXuX4gk/jXgC/BvWavswua+NUoDFYBLOK2tu86CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:30:30.683061Z"},"content_sha256":"595069c483c78dffcf2763dcdb69926e3d47aaf98e20aa1dd8e72119a6c6f92f","schema_version":"1.0","event_id":"sha256:595069c483c78dffcf2763dcdb69926e3d47aaf98e20aa1dd8e72119a6c6f92f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J/bundle.json","state_url":"https://pith.science/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J/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":"2026-08-03T16:30:30Z","links":{"resolver":"https://pith.science/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J","bundle":"https://pith.science/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J/bundle.json","state":"https://pith.science/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BNM7X5CXVMH6IC7D4OBMEHFI5J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BNM7X5CXVMH6IC7D4OBMEHFI5J","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":"38afb9dbd34788e15df5a1898c18766d5aeb9e72cad6c285a4581045cb3163fb","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-02-21T17:37:30Z","title_canon_sha256":"1c90dab9c2a41bd87084d37963b8ee6cb2d92d90d6c0dee5510f724af2d3cb7e"},"schema_version":"1.0","source":{"id":"2402.13957","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13957","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13957v2","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13957","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"BNM7X5CXVMH6","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"BNM7X5CXVMH6IC7D","created_at":"2026-07-05T08:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"BNM7X5CX","created_at":"2026-07-05T08:26:20Z"}],"graph_snapshots":[{"event_id":"sha256:595069c483c78dffcf2763dcdb69926e3d47aaf98e20aa1dd8e72119a6c6f92f","target":"graph","created_at":"2026-07-05T08:26:20Z","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/2402.13957/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Audio fingerprinting, exemplified by pioneers like Shazam, has transformed digital audio recognition. However, existing systems struggle with accuracy in challenging conditions, limiting broad applicability. This research proposes an AI and ML integrated audio fingerprinting algorithm to enhance accuracy. Built on the Dejavu Project's foundations, the study emphasizes real-world scenario simulations with diverse background noises and distortions. Signal processing, central to Dejavu's model, includes the Fast Fourier Transform, spectrograms, and peak extraction. The \"constellation\" concept and","authors_text":"Jyothi Swaroop Arlagadda Narasimharaju, Naveen Kunchakuri, Navin Kamuni, Sathishkumar Chintala, Venkat Kumar","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-02-21T17:37:30Z","title":"Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13957","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:bb967bac7e01c473c9e68082d20e3f37a118c11877fbb9711545a16495b5b098","target":"record","created_at":"2026-07-05T08:26:20Z","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":"38afb9dbd34788e15df5a1898c18766d5aeb9e72cad6c285a4581045cb3163fb","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-02-21T17:37:30Z","title_canon_sha256":"1c90dab9c2a41bd87084d37963b8ee6cb2d92d90d6c0dee5510f724af2d3cb7e"},"schema_version":"1.0","source":{"id":"2402.13957","kind":"arxiv","version":2}},"canonical_sha256":"0b59fbf457ab0fe40be3e382c21ca8ea60986233ff71ffda77fb97933b3c70ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b59fbf457ab0fe40be3e382c21ca8ea60986233ff71ffda77fb97933b3c70ff","first_computed_at":"2026-07-05T08:26:20.229704Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:26:20.229704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Sz7d5NNAh+vs0kYdiRPuC+3lC/yFaXkuSNiU59x7ZWJwpx6Q8a1hR9Fp0pETwKdr13p25sMhPNOhqvg7ztfuDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:26:20.230182Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13957","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb967bac7e01c473c9e68082d20e3f37a118c11877fbb9711545a16495b5b098","sha256:595069c483c78dffcf2763dcdb69926e3d47aaf98e20aa1dd8e72119a6c6f92f"],"state_sha256":"fea81ec4a5234a1a7871be391ee0e4a8e7c4bee9d519365e30fc0bcd2e3421af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZbwR0NnLpCYY7RbpH4xYT8GdtO72vKCJIgckk8/xbuQ/KtGqqlgyl2EQ2dspRBtwY/AOTHGuSxGypWyzFe6CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:30:30.693175Z","bundle_sha256":"038ea6854032b3a1247e1d87ac59a508ffec1a001a2139ed62d4bc52651306cc"}}