{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:KJHNBJGWXRSAZ7PGTXMXTREMRI","short_pith_number":"pith:KJHNBJGW","canonical_record":{"source":{"id":"1909.02869","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-09-04T16:19:50Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"9b5b60a020bd2fefbe7c156fd1257cadc74331845598be37eb94f8735fc858ad","abstract_canon_sha256":"424ded9795d2a44a7bfcd16b912adf8534daec255399c6e6e392ec6a0ddcf27c"},"schema_version":"1.0"},"canonical_sha256":"524ed0a4d6bc640cfde69dd979c48c8a2235e05a4a1882da4507db2862190bbc","source":{"kind":"arxiv","id":"1909.02869","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.02869","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"arxiv_version","alias_value":"1909.02869v1","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.02869","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"pith_short_12","alias_value":"KJHNBJGWXRSA","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"pith_short_16","alias_value":"KJHNBJGWXRSAZ7PG","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"pith_short_8","alias_value":"KJHNBJGW","created_at":"2026-07-05T00:02:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:KJHNBJGWXRSAZ7PGTXMXTREMRI","target":"record","payload":{"canonical_record":{"source":{"id":"1909.02869","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-09-04T16:19:50Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"9b5b60a020bd2fefbe7c156fd1257cadc74331845598be37eb94f8735fc858ad","abstract_canon_sha256":"424ded9795d2a44a7bfcd16b912adf8534daec255399c6e6e392ec6a0ddcf27c"},"schema_version":"1.0"},"canonical_sha256":"524ed0a4d6bc640cfde69dd979c48c8a2235e05a4a1882da4507db2862190bbc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:02:44.085050Z","signature_b64":"Xb86Mc9zjTLwLX+7hmT9rUExMbU+4WkrwPiDDlgDbzKWKq99WnXuaypr8W6YL5CGa/+I5HisaaCQCeIra9DmBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"524ed0a4d6bc640cfde69dd979c48c8a2235e05a4a1882da4507db2862190bbc","last_reissued_at":"2026-07-05T00:02:44.084551Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:02:44.084551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.02869","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":"2026-07-05T00:02:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4GjQiktmbtnBoQI0XxkWvZMOzLk3cTrftaD2W+keLSZwFhXoNcDCpR6mS8K3m/xqinAOPKp3h9TJwB2zCgjLDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:56:38.605462Z"},"content_sha256":"1fed18522f8165c969d311c46284790622d1ce4cd5a2a47854cc0ed20dd451f0","schema_version":"1.0","event_id":"sha256:1fed18522f8165c969d311c46284790622d1ce4cd5a2a47854cc0ed20dd451f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:KJHNBJGWXRSAZ7PGTXMXTREMRI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","stat.ML"],"primary_cat":"eess.AS","authors_text":"Andreas Arzt, David Eitelsebner, Gerhard Widmer, Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus","submitted_at":"2019-09-04T16:19:50Z","abstract_excerpt":"Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning. We study this problem in the context of machine listening (Task 1b of the DCASE 2019 Challenge). We propose a novel approach to learn domain-invariant classifiers in an end-to-end fashion by enforcing equal hidden layer representations for domain-parallel samples, i.e. time-aligned recordings from different recording devices. No classification labels are needed for our domain adaptation (DA) method, which makes the data collection process chea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.02869","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/1909.02869/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":"2026-07-05T00:02:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UQMP/V+PPF8RF66l3M8IZkVb/H6SuewbK32vYNpj+w7kjdScL3+otrVpguK/qDTJcUskjGxkbgPphkAqC257Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:56:38.605937Z"},"content_sha256":"3d738bf149bcc7fbc8e7cfcdad39d79d41c740845651fe8b099383b501a3f0b1","schema_version":"1.0","event_id":"sha256:3d738bf149bcc7fbc8e7cfcdad39d79d41c740845651fe8b099383b501a3f0b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI/bundle.json","state_url":"https://pith.science/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI/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":"2026-08-05T09:56:38Z","links":{"resolver":"https://pith.science/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI","bundle":"https://pith.science/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI/bundle.json","state":"https://pith.science/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KJHNBJGWXRSAZ7PGTXMXTREMRI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KJHNBJGWXRSAZ7PGTXMXTREMRI","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":"424ded9795d2a44a7bfcd16b912adf8534daec255399c6e6e392ec6a0ddcf27c","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-09-04T16:19:50Z","title_canon_sha256":"9b5b60a020bd2fefbe7c156fd1257cadc74331845598be37eb94f8735fc858ad"},"schema_version":"1.0","source":{"id":"1909.02869","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.02869","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"arxiv_version","alias_value":"1909.02869v1","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.02869","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"pith_short_12","alias_value":"KJHNBJGWXRSA","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"pith_short_16","alias_value":"KJHNBJGWXRSAZ7PG","created_at":"2026-07-05T00:02:44Z"},{"alias_kind":"pith_short_8","alias_value":"KJHNBJGW","created_at":"2026-07-05T00:02:44Z"}],"graph_snapshots":[{"event_id":"sha256:3d738bf149bcc7fbc8e7cfcdad39d79d41c740845651fe8b099383b501a3f0b1","target":"graph","created_at":"2026-07-05T00:02:44Z","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/1909.02869/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning. We study this problem in the context of machine listening (Task 1b of the DCASE 2019 Challenge). We propose a novel approach to learn domain-invariant classifiers in an end-to-end fashion by enforcing equal hidden layer representations for domain-parallel samples, i.e. time-aligned recordings from different recording devices. No classification labels are needed for our domain adaptation (DA) method, which makes the data collection process chea","authors_text":"Andreas Arzt, David Eitelsebner, Gerhard Widmer, Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus","cross_cats":["cs.LG","cs.SD","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-09-04T16:19:50Z","title":"Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.02869","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":"sha256:1fed18522f8165c969d311c46284790622d1ce4cd5a2a47854cc0ed20dd451f0","target":"record","created_at":"2026-07-05T00:02:44Z","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":"424ded9795d2a44a7bfcd16b912adf8534daec255399c6e6e392ec6a0ddcf27c","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-09-04T16:19:50Z","title_canon_sha256":"9b5b60a020bd2fefbe7c156fd1257cadc74331845598be37eb94f8735fc858ad"},"schema_version":"1.0","source":{"id":"1909.02869","kind":"arxiv","version":1}},"canonical_sha256":"524ed0a4d6bc640cfde69dd979c48c8a2235e05a4a1882da4507db2862190bbc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"524ed0a4d6bc640cfde69dd979c48c8a2235e05a4a1882da4507db2862190bbc","first_computed_at":"2026-07-05T00:02:44.084551Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:02:44.084551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xb86Mc9zjTLwLX+7hmT9rUExMbU+4WkrwPiDDlgDbzKWKq99WnXuaypr8W6YL5CGa/+I5HisaaCQCeIra9DmBg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:02:44.085050Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.02869","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fed18522f8165c969d311c46284790622d1ce4cd5a2a47854cc0ed20dd451f0","sha256:3d738bf149bcc7fbc8e7cfcdad39d79d41c740845651fe8b099383b501a3f0b1"],"state_sha256":"581d7307ece88ee8b6dce61d92b26d78e50c9d490b272818526848ec9229383d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NyeB4QOu3CC6VzJcqaqKtczQkD2c3ncN40whnF0pdpcTtwBxGUDQIbOTInA+HsmMH3zu3cq22WdSuBbQc7AvAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:56:38.610161Z","bundle_sha256":"469705b19d111f852eaa05e8eaa89891d27e39b528fd19ab640e29e01d01c3b8"}}