{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:PTJ3AGRSZ4C2ZWSJZU423VS65E","short_pith_number":"pith:PTJ3AGRS","canonical_record":{"source":{"id":"1607.02306","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-07-08T10:42:43Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"title_canon_sha256":"55c885fe43aece949fb94cc3f926b5c7dde37984624ec04d052c32887ab2839f","abstract_canon_sha256":"fc85cb763b9239426e2b3c54190d2271c85226e0d998cc0b1f15d41928f33cae"},"schema_version":"1.0"},"canonical_sha256":"7cd3b01a32cf05acda49cd39add65ee921aaad62b5471eabd446e1300a775490","source":{"kind":"arxiv","id":"1607.02306","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.02306","created_at":"2026-05-18T01:09:06Z"},{"alias_kind":"arxiv_version","alias_value":"1607.02306v2","created_at":"2026-05-18T01:09:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.02306","created_at":"2026-05-18T01:09:06Z"},{"alias_kind":"pith_short_12","alias_value":"PTJ3AGRSZ4C2","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PTJ3AGRSZ4C2ZWSJ","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PTJ3AGRS","created_at":"2026-05-18T12:30:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:PTJ3AGRSZ4C2ZWSJZU423VS65E","target":"record","payload":{"canonical_record":{"source":{"id":"1607.02306","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-07-08T10:42:43Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"title_canon_sha256":"55c885fe43aece949fb94cc3f926b5c7dde37984624ec04d052c32887ab2839f","abstract_canon_sha256":"fc85cb763b9239426e2b3c54190d2271c85226e0d998cc0b1f15d41928f33cae"},"schema_version":"1.0"},"canonical_sha256":"7cd3b01a32cf05acda49cd39add65ee921aaad62b5471eabd446e1300a775490","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:06.267368Z","signature_b64":"0FgeDyOUYzyCxFKVzWr5drnTpGQ1xL4EAiDSFTn+bNyIaGjLnosicBYBJFeY93oWjHy3HaMCIEzqCchR9UX0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7cd3b01a32cf05acda49cd39add65ee921aaad62b5471eabd446e1300a775490","last_reissued_at":"2026-05-18T01:09:06.266905Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:06.266905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.02306","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":"2026-05-18T01:09:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qHOGxv6atJR3ofVgEEoVY0lTUHOdG2Lvdd6McpuQrMThXsjCXyCk+ILNSNnWJUVwNqs3rICG0DoBLbL6CpIQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T07:54:51.855453Z"},"content_sha256":"ce4a3fbcb301adb813f423fa87aa1857ae8de6da6ef3566b339387dcbb8dd923","schema_version":"1.0","event_id":"sha256:ce4a3fbcb301adb813f423fa87aa1857ae8de6da6ef3566b339387dcbb8dd923"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:PTJ3AGRSZ4C2ZWSJZU423VS65E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.MM"],"primary_cat":"cs.SD","authors_text":"Alfred Mertins, Huy Phan, Lars Hertel, Marco Maass, Philipp Koch","submitted_at":"2016-07-08T10:42:43Z","abstract_excerpt":"This report describes our submissions to Task2 and Task3 of the DCASE 2016 challenge. The systems aim at dealing with the detection of overlapping audio events in continuous streams, where the detectors are based on random decision forests. The proposed forests are jointly trained for classification and regression simultaneously. Initially, the training is classification-oriented to encourage the trees to select discriminative features from overlapping mixtures to separate positive audio segments from the negative ones. The regression phase is then carried out to let the positive audio segment"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.02306","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":""},"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":"2026-05-18T01:09:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EaBC+4LicgErfFmEeU6Y6TZWCh4XLlSDkkdf3pCQszR1pJTkeSOvQe4FYoi/GvD5j1VGYUKNx4w/BD7EsXaPDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T07:54:51.856168Z"},"content_sha256":"d1f36a534947bd16fc01158e8244878e131fbb765403039cb720ff28882cc615","schema_version":"1.0","event_id":"sha256:d1f36a534947bd16fc01158e8244878e131fbb765403039cb720ff28882cc615"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E/bundle.json","state_url":"https://pith.science/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E/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":"2026-06-09T07:54:51Z","links":{"resolver":"https://pith.science/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E","bundle":"https://pith.science/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E/bundle.json","state":"https://pith.science/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PTJ3AGRSZ4C2ZWSJZU423VS65E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:PTJ3AGRSZ4C2ZWSJZU423VS65E","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":"fc85cb763b9239426e2b3c54190d2271c85226e0d998cc0b1f15d41928f33cae","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-07-08T10:42:43Z","title_canon_sha256":"55c885fe43aece949fb94cc3f926b5c7dde37984624ec04d052c32887ab2839f"},"schema_version":"1.0","source":{"id":"1607.02306","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.02306","created_at":"2026-05-18T01:09:06Z"},{"alias_kind":"arxiv_version","alias_value":"1607.02306v2","created_at":"2026-05-18T01:09:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.02306","created_at":"2026-05-18T01:09:06Z"},{"alias_kind":"pith_short_12","alias_value":"PTJ3AGRSZ4C2","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PTJ3AGRSZ4C2ZWSJ","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PTJ3AGRS","created_at":"2026-05-18T12:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:d1f36a534947bd16fc01158e8244878e131fbb765403039cb720ff28882cc615","target":"graph","created_at":"2026-05-18T01:09:06Z","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"},"paper":{"abstract_excerpt":"This report describes our submissions to Task2 and Task3 of the DCASE 2016 challenge. The systems aim at dealing with the detection of overlapping audio events in continuous streams, where the detectors are based on random decision forests. The proposed forests are jointly trained for classification and regression simultaneously. Initially, the training is classification-oriented to encourage the trees to select discriminative features from overlapping mixtures to separate positive audio segments from the negative ones. The regression phase is then carried out to let the positive audio segment","authors_text":"Alfred Mertins, Huy Phan, Lars Hertel, Marco Maass, Philipp Koch","cross_cats":["cs.AI","cs.LG","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-07-08T10:42:43Z","title":"CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.02306","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:ce4a3fbcb301adb813f423fa87aa1857ae8de6da6ef3566b339387dcbb8dd923","target":"record","created_at":"2026-05-18T01:09:06Z","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":"fc85cb763b9239426e2b3c54190d2271c85226e0d998cc0b1f15d41928f33cae","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-07-08T10:42:43Z","title_canon_sha256":"55c885fe43aece949fb94cc3f926b5c7dde37984624ec04d052c32887ab2839f"},"schema_version":"1.0","source":{"id":"1607.02306","kind":"arxiv","version":2}},"canonical_sha256":"7cd3b01a32cf05acda49cd39add65ee921aaad62b5471eabd446e1300a775490","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cd3b01a32cf05acda49cd39add65ee921aaad62b5471eabd446e1300a775490","first_computed_at":"2026-05-18T01:09:06.266905Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:09:06.266905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0FgeDyOUYzyCxFKVzWr5drnTpGQ1xL4EAiDSFTn+bNyIaGjLnosicBYBJFeY93oWjHy3HaMCIEzqCchR9UX0BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:09:06.267368Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.02306","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce4a3fbcb301adb813f423fa87aa1857ae8de6da6ef3566b339387dcbb8dd923","sha256:d1f36a534947bd16fc01158e8244878e131fbb765403039cb720ff28882cc615"],"state_sha256":"92b4ef42d29d12a3c159f33707577aef9e646eac452f59c1f665141a3f48412d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vouCARst3MCA5GuPxPmD1cumiAT5Y0Cs+cc1vTPGXOR/zMjr0FAbN+9BKovZ99ja7HoMvSqNllPUwnmhgm+iDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T07:54:51.860648Z","bundle_sha256":"0c42007db4f901f8c5bf63a9afe4416de1e671129ae472719d2232a00d7408df"}}