{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:O5VMLO2EYHFRT2IX7BLL4FCL5B","short_pith_number":"pith:O5VMLO2E","canonical_record":{"source":{"id":"1609.02082","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-04T10:11:24Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"85132e6badbf0fa923af02354cb455ed80dee5f75718ce82ea87f94204655826","abstract_canon_sha256":"62c867604a91bb315a3f98f221c34338d61362259a4029ce692e2cf0c86c4353"},"schema_version":"1.0"},"canonical_sha256":"776ac5bb44c1cb19e917f856be144be847505ef097b2391ea7e1b3a3589407da","source":{"kind":"arxiv","id":"1609.02082","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.02082","created_at":"2026-05-18T01:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"1609.02082v1","created_at":"2026-05-18T01:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.02082","created_at":"2026-05-18T01:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"O5VMLO2EYHFR","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"O5VMLO2EYHFRT2IX","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"O5VMLO2E","created_at":"2026-05-18T12:30:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:O5VMLO2EYHFRT2IX7BLL4FCL5B","target":"record","payload":{"canonical_record":{"source":{"id":"1609.02082","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-04T10:11:24Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"85132e6badbf0fa923af02354cb455ed80dee5f75718ce82ea87f94204655826","abstract_canon_sha256":"62c867604a91bb315a3f98f221c34338d61362259a4029ce692e2cf0c86c4353"},"schema_version":"1.0"},"canonical_sha256":"776ac5bb44c1cb19e917f856be144be847505ef097b2391ea7e1b3a3589407da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:05:09.201634Z","signature_b64":"wY7nY3A0nl936Zf8PhY2tTmz97LxCNNLNd8f0dnGXvrs+M8LVGDB3iFTdyWXL8kBSF9FXrneS2M0n6p/DNYcDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"776ac5bb44c1cb19e917f856be144be847505ef097b2391ea7e1b3a3589407da","last_reissued_at":"2026-05-18T01:05:09.200897Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:05:09.200897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1609.02082","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":"2026-05-18T01:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"keGu6p+7TULpQyDghORzQtgBPBiG+zyTHP9GEXSdZCKfnOQsdc4x8gAmw+A0anqKopmx4ySRuvn3YJhwt2HkCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T17:20:06.246534Z"},"content_sha256":"251a43015fc8f095e0bddc4c8dbc639a34a8a5739f48b031089de3e5add5ebdf","schema_version":"1.0","event_id":"sha256:251a43015fc8f095e0bddc4c8dbc639a34a8a5739f48b031089de3e5add5ebdf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:O5VMLO2EYHFRT2IX7BLL4FCL5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"cs.LG","authors_text":"Christian Huemmer, Ram\\'on Fern\\'andez Astudillo, Walter Kellermann","submitted_at":"2016-08-04T10:11:24Z","abstract_excerpt":"In this paper, we advance a recently-proposed uncertainty decoding scheme for DNN-HMM (deep neural network - hidden Markov model) hybrid systems. This numerical sampling concept averages DNN outputs produced by a finite set of feature samples (drawn from a probabilistic distortion model) to approximate the posterior likelihoods of the context-dependent HMM states. As main innovation, we propose a weighted DNN-output averaging based on a minimum classification error criterion and apply it to a probabilistic distortion model for spatial diffuseness features. The experimental evaluation is perfor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.02082","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":""},"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":"2026-05-18T01:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k/WyKbTf5S8aMWwTV6JMAhIaEQeePcnirc7rY24YwDV1P1jU1yj6578c5F2tlQHOql5RdsLDvmLBqwNggX4HCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T17:20:06.246876Z"},"content_sha256":"2bcbbf703371e77db1ed528f352f6664c664922247813d537d8538c693916e1b","schema_version":"1.0","event_id":"sha256:2bcbbf703371e77db1ed528f352f6664c664922247813d537d8538c693916e1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B/bundle.json","state_url":"https://pith.science/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B/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":"2026-06-24T17:20:06Z","links":{"resolver":"https://pith.science/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B","bundle":"https://pith.science/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B/bundle.json","state":"https://pith.science/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O5VMLO2EYHFRT2IX7BLL4FCL5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:O5VMLO2EYHFRT2IX7BLL4FCL5B","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":"62c867604a91bb315a3f98f221c34338d61362259a4029ce692e2cf0c86c4353","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-04T10:11:24Z","title_canon_sha256":"85132e6badbf0fa923af02354cb455ed80dee5f75718ce82ea87f94204655826"},"schema_version":"1.0","source":{"id":"1609.02082","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.02082","created_at":"2026-05-18T01:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"1609.02082v1","created_at":"2026-05-18T01:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.02082","created_at":"2026-05-18T01:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"O5VMLO2EYHFR","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"O5VMLO2EYHFRT2IX","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"O5VMLO2E","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:2bcbbf703371e77db1ed528f352f6664c664922247813d537d8538c693916e1b","target":"graph","created_at":"2026-05-18T01:05:09Z","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":"In this paper, we advance a recently-proposed uncertainty decoding scheme for DNN-HMM (deep neural network - hidden Markov model) hybrid systems. This numerical sampling concept averages DNN outputs produced by a finite set of feature samples (drawn from a probabilistic distortion model) to approximate the posterior likelihoods of the context-dependent HMM states. As main innovation, we propose a weighted DNN-output averaging based on a minimum classification error criterion and apply it to a probabilistic distortion model for spatial diffuseness features. The experimental evaluation is perfor","authors_text":"Christian Huemmer, Ram\\'on Fern\\'andez Astudillo, Walter Kellermann","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-04T10:11:24Z","title":"An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.02082","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":"sha256:251a43015fc8f095e0bddc4c8dbc639a34a8a5739f48b031089de3e5add5ebdf","target":"record","created_at":"2026-05-18T01:05:09Z","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":"62c867604a91bb315a3f98f221c34338d61362259a4029ce692e2cf0c86c4353","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-04T10:11:24Z","title_canon_sha256":"85132e6badbf0fa923af02354cb455ed80dee5f75718ce82ea87f94204655826"},"schema_version":"1.0","source":{"id":"1609.02082","kind":"arxiv","version":1}},"canonical_sha256":"776ac5bb44c1cb19e917f856be144be847505ef097b2391ea7e1b3a3589407da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"776ac5bb44c1cb19e917f856be144be847505ef097b2391ea7e1b3a3589407da","first_computed_at":"2026-05-18T01:05:09.200897Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:05:09.200897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wY7nY3A0nl936Zf8PhY2tTmz97LxCNNLNd8f0dnGXvrs+M8LVGDB3iFTdyWXL8kBSF9FXrneS2M0n6p/DNYcDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:05:09.201634Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.02082","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:251a43015fc8f095e0bddc4c8dbc639a34a8a5739f48b031089de3e5add5ebdf","sha256:2bcbbf703371e77db1ed528f352f6664c664922247813d537d8538c693916e1b"],"state_sha256":"29420034dde972dccdd44a03da0c46f9c8c7e3b992ab5973e0c950e6e819c470"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"co5AjF7f6JqnIzm+qs5VH+0kAlmltEimPneIynIYwkleU87MEbgcdh4mzu/QWrxU7vQYXywmq9MquSz1zRF8Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T17:20:06.249008Z","bundle_sha256":"538d630ff0d175eb1d5819f736a1716346b349080a2b3be56188ce00246453ba"}}