{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:LB5E6XQRL2WIEUB74A6BT4ZGXN","short_pith_number":"pith:LB5E6XQR","canonical_record":{"source":{"id":"1505.05899","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-05-21T20:49:32Z","cross_cats_sorted":[],"title_canon_sha256":"7196f87bf6203bc897e8b5bd09060fedbd72d7954f53e7ce8e7e1505a1eb1a2a","abstract_canon_sha256":"a2c4cefc4e9b97a667200e98eb5afae1c89e897a422a02f414978f2c492bb559"},"schema_version":"1.0"},"canonical_sha256":"587a4f5e115eac82503fe03c19f326bb4eac667ce8617618daa2c749f9d0129d","source":{"kind":"arxiv","id":"1505.05899","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1505.05899","created_at":"2026-05-18T02:03:49Z"},{"alias_kind":"arxiv_version","alias_value":"1505.05899v1","created_at":"2026-05-18T02:03:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.05899","created_at":"2026-05-18T02:03:49Z"},{"alias_kind":"pith_short_12","alias_value":"LB5E6XQRL2WI","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"LB5E6XQRL2WIEUB7","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"LB5E6XQR","created_at":"2026-05-18T12:29:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:LB5E6XQRL2WIEUB74A6BT4ZGXN","target":"record","payload":{"canonical_record":{"source":{"id":"1505.05899","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-05-21T20:49:32Z","cross_cats_sorted":[],"title_canon_sha256":"7196f87bf6203bc897e8b5bd09060fedbd72d7954f53e7ce8e7e1505a1eb1a2a","abstract_canon_sha256":"a2c4cefc4e9b97a667200e98eb5afae1c89e897a422a02f414978f2c492bb559"},"schema_version":"1.0"},"canonical_sha256":"587a4f5e115eac82503fe03c19f326bb4eac667ce8617618daa2c749f9d0129d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:03:49.739723Z","signature_b64":"5lmBBnVdc2mIAIuuKcu4+spgPDyMysZG18hGbhe6jYi3lgT6xszTqd4ihT7j22550/TwobJob3D1avGOfw50BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"587a4f5e115eac82503fe03c19f326bb4eac667ce8617618daa2c749f9d0129d","last_reissued_at":"2026-05-18T02:03:49.738950Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:03:49.738950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1505.05899","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":"2026-05-18T02:03:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a37S8yJfXChxFRCtbKh3+7FSXKAGvlF9djLYPhnh80F2GQqCrY3/zG57FbF0sx+MhvQycjwF3DI/JdGVhGD2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T18:13:37.643607Z"},"content_sha256":"7f88a566b0b9464b4f9059eeb69b67f4fa36011561119fae21d996096f52fa5f","schema_version":"1.0","event_id":"sha256:7f88a566b0b9464b4f9059eeb69b67f4fa36011561119fae21d996096f52fa5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:LB5E6XQRL2WIEUB74A6BT4ZGXN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The IBM 2015 English Conversational Telephone Speech Recognition System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"George Saon, Hong-Kwang J. Kuo, Michael Picheny, Steven Rennie","submitted_at":"2015-05-21T20:49:32Z","abstract_excerpt":"We describe the latest improvements to the IBM English conversational telephone speech recognition system. Some of the techniques that were found beneficial are: maxout networks with annealed dropout rates; networks with a very large number of outputs trained on 2000 hours of data; joint modeling of partially unfolded recurrent neural networks and convolutional nets by combining the bottleneck and output layers and retraining the resulting model; and lastly, sophisticated language model rescoring with exponential and neural network LMs. These techniques result in an 8.0% word error rate on the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.05899","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":"2026-05-18T02:03:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NuwIWFaqdWs1QFVMZi6R+ZPS3QRQB16Qzpk+QnCDQPaYeZkpn3Az73S6QRnZNX2dH98J420VVsat4hcBslZ2Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T18:13:37.643952Z"},"content_sha256":"dea9674d9a42c80e9f4019a2ce15d9a989c3cd922a0a5cd30d83ba3ca8ace2a3","schema_version":"1.0","event_id":"sha256:dea9674d9a42c80e9f4019a2ce15d9a989c3cd922a0a5cd30d83ba3ca8ace2a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN/bundle.json","state_url":"https://pith.science/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN/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":"2026-05-27T18:13:37Z","links":{"resolver":"https://pith.science/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN","bundle":"https://pith.science/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN/bundle.json","state":"https://pith.science/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LB5E6XQRL2WIEUB74A6BT4ZGXN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:LB5E6XQRL2WIEUB74A6BT4ZGXN","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":"a2c4cefc4e9b97a667200e98eb5afae1c89e897a422a02f414978f2c492bb559","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-05-21T20:49:32Z","title_canon_sha256":"7196f87bf6203bc897e8b5bd09060fedbd72d7954f53e7ce8e7e1505a1eb1a2a"},"schema_version":"1.0","source":{"id":"1505.05899","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1505.05899","created_at":"2026-05-18T02:03:49Z"},{"alias_kind":"arxiv_version","alias_value":"1505.05899v1","created_at":"2026-05-18T02:03:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.05899","created_at":"2026-05-18T02:03:49Z"},{"alias_kind":"pith_short_12","alias_value":"LB5E6XQRL2WI","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"LB5E6XQRL2WIEUB7","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"LB5E6XQR","created_at":"2026-05-18T12:29:29Z"}],"graph_snapshots":[{"event_id":"sha256:dea9674d9a42c80e9f4019a2ce15d9a989c3cd922a0a5cd30d83ba3ca8ace2a3","target":"graph","created_at":"2026-05-18T02:03:49Z","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":"We describe the latest improvements to the IBM English conversational telephone speech recognition system. Some of the techniques that were found beneficial are: maxout networks with annealed dropout rates; networks with a very large number of outputs trained on 2000 hours of data; joint modeling of partially unfolded recurrent neural networks and convolutional nets by combining the bottleneck and output layers and retraining the resulting model; and lastly, sophisticated language model rescoring with exponential and neural network LMs. These techniques result in an 8.0% word error rate on the","authors_text":"George Saon, Hong-Kwang J. Kuo, Michael Picheny, Steven Rennie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-05-21T20:49:32Z","title":"The IBM 2015 English Conversational Telephone Speech Recognition System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.05899","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":"sha256:7f88a566b0b9464b4f9059eeb69b67f4fa36011561119fae21d996096f52fa5f","target":"record","created_at":"2026-05-18T02:03:49Z","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":"a2c4cefc4e9b97a667200e98eb5afae1c89e897a422a02f414978f2c492bb559","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-05-21T20:49:32Z","title_canon_sha256":"7196f87bf6203bc897e8b5bd09060fedbd72d7954f53e7ce8e7e1505a1eb1a2a"},"schema_version":"1.0","source":{"id":"1505.05899","kind":"arxiv","version":1}},"canonical_sha256":"587a4f5e115eac82503fe03c19f326bb4eac667ce8617618daa2c749f9d0129d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"587a4f5e115eac82503fe03c19f326bb4eac667ce8617618daa2c749f9d0129d","first_computed_at":"2026-05-18T02:03:49.738950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:03:49.738950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5lmBBnVdc2mIAIuuKcu4+spgPDyMysZG18hGbhe6jYi3lgT6xszTqd4ihT7j22550/TwobJob3D1avGOfw50BA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:03:49.739723Z","signed_message":"canonical_sha256_bytes"},"source_id":"1505.05899","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f88a566b0b9464b4f9059eeb69b67f4fa36011561119fae21d996096f52fa5f","sha256:dea9674d9a42c80e9f4019a2ce15d9a989c3cd922a0a5cd30d83ba3ca8ace2a3"],"state_sha256":"c3587b602489914a10c0b2d2e1f7c6585ef3a95892e909ea038815c60eb029ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dTdn2RJ+01qAGd/egnOQeujUDrWNJLGI8XzXiyvaTs1sLWqZYuesHjNdWKDUpGHzBhOQNk0YPl0KC3ixmklyCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T18:13:37.646518Z","bundle_sha256":"16b21965ccac4d3830e969574e1fa7f03b0d11cab50db79f0638a5c045ec36f5"}}