{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7FCFMKSRDHVXIIMEJGRRCMXSUQ","short_pith_number":"pith:7FCFMKSR","canonical_record":{"source":{"id":"2107.08933","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-07-19T14:48:15Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"9d6f68752df1a6feaa517c921b9741cf989fbb06fd00cf77fa94cb49216a08cb","abstract_canon_sha256":"468be183fe0d5c896abaf28a516ec6fa5c6b31df009f302db7a7f4119ec8e7a8"},"schema_version":"1.0"},"canonical_sha256":"f944562a5119eb74218449a31132f2a412a2e0c5605d87c612a9b5b0422890d0","source":{"kind":"arxiv","id":"2107.08933","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.08933","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"arxiv_version","alias_value":"2107.08933v1","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.08933","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"pith_short_12","alias_value":"7FCFMKSRDHVX","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"pith_short_16","alias_value":"7FCFMKSRDHVXIIME","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"pith_short_8","alias_value":"7FCFMKSR","created_at":"2026-07-05T02:58:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7FCFMKSRDHVXIIMEJGRRCMXSUQ","target":"record","payload":{"canonical_record":{"source":{"id":"2107.08933","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-07-19T14:48:15Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"9d6f68752df1a6feaa517c921b9741cf989fbb06fd00cf77fa94cb49216a08cb","abstract_canon_sha256":"468be183fe0d5c896abaf28a516ec6fa5c6b31df009f302db7a7f4119ec8e7a8"},"schema_version":"1.0"},"canonical_sha256":"f944562a5119eb74218449a31132f2a412a2e0c5605d87c612a9b5b0422890d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:58:54.557235Z","signature_b64":"EB7OGBvF6RTadiZ6ub7O9wWGIkzV139k0TmuQHp56PDV1isyC+e9clv5tjRBNvswfT+g7Wn/xyag4EupSz9QAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f944562a5119eb74218449a31132f2a412a2e0c5605d87c612a9b5b0422890d0","last_reissued_at":"2026-07-05T02:58:54.556724Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:58:54.556724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.08933","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":"2026-07-05T02:58:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DGgHigDhknYmgZYOuyHOUHf7hjbAXB3P+Ryj0qdzrB9USS6fyphJk9Wu2QazzFJI+qR+yjgo3moS3rINeEO2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:02:03.435491Z"},"content_sha256":"a88f4fe8d1492c154c371177fcf01c393bbd692c62353592dcb6c956808158b8","schema_version":"1.0","event_id":"sha256:a88f4fe8d1492c154c371177fcf01c393bbd692c62353592dcb6c956808158b8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7FCFMKSRDHVXIIMEJGRRCMXSUQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Over-Parameterization and Generalization in Audio Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS","stat.ML"],"primary_cat":"cs.SD","authors_text":"Florian Henkel, Gerhard Widmer, Hamid Eghbal-zadeh, Jan Schl\\\"uter, Khaled Koutini","submitted_at":"2021-07-19T14:48:15Z","abstract_excerpt":"Convolutional Neural Networks (CNNs) have been dominating classification tasks in various domains, such as machine vision, machine listening, and natural language processing. In machine listening, while generally exhibiting very good generalization capabilities, CNNs are sensitive to the specific audio recording device used, which has been recognized as a substantial problem in the acoustic scene classification (DCASE) community. In this study, we investigate the relationship between over-parameterization of acoustic scene classification models, and their resulting generalization abilities. Sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.08933","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/2107.08933/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":"2026-07-05T02:58:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+1j5JdJ+bCWE8hZNYFG2eNzVAvaGChTsnwzLBVCULVJxedLqrF+VPRKcXrJxWwR+nlTJdxV4Vm01k3ZJJLz4Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:02:03.435980Z"},"content_sha256":"d12fb88cbcf5f03924af5b34397944d3550bfc26b64d6bae09c70b089e22b31d","schema_version":"1.0","event_id":"sha256:d12fb88cbcf5f03924af5b34397944d3550bfc26b64d6bae09c70b089e22b31d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ/bundle.json","state_url":"https://pith.science/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ/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":"2026-08-05T08:02:03Z","links":{"resolver":"https://pith.science/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ","bundle":"https://pith.science/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ/bundle.json","state":"https://pith.science/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7FCFMKSRDHVXIIMEJGRRCMXSUQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7FCFMKSRDHVXIIMEJGRRCMXSUQ","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":"468be183fe0d5c896abaf28a516ec6fa5c6b31df009f302db7a7f4119ec8e7a8","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-07-19T14:48:15Z","title_canon_sha256":"9d6f68752df1a6feaa517c921b9741cf989fbb06fd00cf77fa94cb49216a08cb"},"schema_version":"1.0","source":{"id":"2107.08933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.08933","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"arxiv_version","alias_value":"2107.08933v1","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.08933","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"pith_short_12","alias_value":"7FCFMKSRDHVX","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"pith_short_16","alias_value":"7FCFMKSRDHVXIIME","created_at":"2026-07-05T02:58:54Z"},{"alias_kind":"pith_short_8","alias_value":"7FCFMKSR","created_at":"2026-07-05T02:58:54Z"}],"graph_snapshots":[{"event_id":"sha256:d12fb88cbcf5f03924af5b34397944d3550bfc26b64d6bae09c70b089e22b31d","target":"graph","created_at":"2026-07-05T02:58:54Z","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/2107.08933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional Neural Networks (CNNs) have been dominating classification tasks in various domains, such as machine vision, machine listening, and natural language processing. In machine listening, while generally exhibiting very good generalization capabilities, CNNs are sensitive to the specific audio recording device used, which has been recognized as a substantial problem in the acoustic scene classification (DCASE) community. In this study, we investigate the relationship between over-parameterization of acoustic scene classification models, and their resulting generalization abilities. Sp","authors_text":"Florian Henkel, Gerhard Widmer, Hamid Eghbal-zadeh, Jan Schl\\\"uter, Khaled Koutini","cross_cats":["cs.LG","eess.AS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-07-19T14:48:15Z","title":"Over-Parameterization and Generalization in Audio Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.08933","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:a88f4fe8d1492c154c371177fcf01c393bbd692c62353592dcb6c956808158b8","target":"record","created_at":"2026-07-05T02:58:54Z","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":"468be183fe0d5c896abaf28a516ec6fa5c6b31df009f302db7a7f4119ec8e7a8","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-07-19T14:48:15Z","title_canon_sha256":"9d6f68752df1a6feaa517c921b9741cf989fbb06fd00cf77fa94cb49216a08cb"},"schema_version":"1.0","source":{"id":"2107.08933","kind":"arxiv","version":1}},"canonical_sha256":"f944562a5119eb74218449a31132f2a412a2e0c5605d87c612a9b5b0422890d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f944562a5119eb74218449a31132f2a412a2e0c5605d87c612a9b5b0422890d0","first_computed_at":"2026-07-05T02:58:54.556724Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:54.556724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EB7OGBvF6RTadiZ6ub7O9wWGIkzV139k0TmuQHp56PDV1isyC+e9clv5tjRBNvswfT+g7Wn/xyag4EupSz9QAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:54.557235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.08933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a88f4fe8d1492c154c371177fcf01c393bbd692c62353592dcb6c956808158b8","sha256:d12fb88cbcf5f03924af5b34397944d3550bfc26b64d6bae09c70b089e22b31d"],"state_sha256":"c6f6b1d2875054d552542b09357c2f29893c316f48b0eb064de511b40f03f93b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ELQZKWQ6x2cMZrk7gbYf4sp22EglFqU+GPoK3Xf5E8GoaYSYR29riSns+oDmTqVl+OGA1VBSn6CWfkXKVkeADg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:02:03.439070Z","bundle_sha256":"169759f1a9700b1fedd2ea8c25e4b96bafe6db56de2dd919a3ab2acd716e8982"}}