{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:5WAOIBOVPX4S7RCPMBLXUGQCRT","short_pith_number":"pith:5WAOIBOV","canonical_record":{"source":{"id":"2012.06659","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"729f2820ab7eeca81323c230678e5e4edd43e7454e9200c199cc2fee6df651be","abstract_canon_sha256":"47bbeebf241a56d58df0f20724d5852e4589ba156a592a32db4b9d5573d293b1"},"schema_version":"1.0"},"canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","source":{"kind":"arxiv","id":"2012.06659","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.06659","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"arxiv_version","alias_value":"2012.06659v1","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.06659","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_12","alias_value":"5WAOIBOVPX4S","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_16","alias_value":"5WAOIBOVPX4S7RCP","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_8","alias_value":"5WAOIBOV","created_at":"2026-07-05T01:58:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:5WAOIBOVPX4S7RCPMBLXUGQCRT","target":"record","payload":{"canonical_record":{"source":{"id":"2012.06659","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"729f2820ab7eeca81323c230678e5e4edd43e7454e9200c199cc2fee6df651be","abstract_canon_sha256":"47bbeebf241a56d58df0f20724d5852e4589ba156a592a32db4b9d5573d293b1"},"schema_version":"1.0"},"canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:58:58.227877Z","signature_b64":"TiRBUFnQOOPoHWdPsMQ1nf4P/l9okfQtm7MNuzGXrc3unaKqNezT7CegwSwpNmo66QWcpOQpalG5O0yVn8ByCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","last_reissued_at":"2026-07-05T01:58:58.227402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:58:58.227402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.06659","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":"2026-07-05T01:58:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ofORKwKHf0aO1EOY6CV6PiwFW4dDmMWpqwsBStBduFLz6hoyLQKAsSZ+sKJc3K8oF3lSYg/rMCydxXKZx7LyDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:05:45.340806Z"},"content_sha256":"ae2e731603eb657fa4363206acaafb84d090bb1d55f46919145bdcc3de977f8d","schema_version":"1.0","event_id":"sha256:ae2e731603eb657fa4363206acaafb84d090bb1d55f46919145bdcc3de977f8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:5WAOIBOVPX4S7RCPMBLXUGQCRT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"eess.AS","authors_text":"Shaoshi Ling, Yuzong Liu","submitted_at":"2020-12-11T22:07:23Z","abstract_excerpt":"Recent success in speech representation learning enables a new way to leverage unlabeled data to train speech recognition model. In speech representation learning, a large amount of unlabeled data is used in a self-supervised manner to learn a feature representation. Then a smaller amount of labeled data is used to train a downstream ASR system using the new feature representations. Based on our previous work DeCoAR and inspirations from other speech representation learning, we propose DeCoAR 2.0, a Deep Contextualized Acoustic Representation with vector quantization. We introduce several modi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.06659","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/2012.06659/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":"2026-07-05T01:58:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8W8aWefBGLtzw0PYIjki32Am+nlS4vLZAkD55QvTURHjL5t7eOH8K5rwNA9D570K392owEWoyP1X2X+myt0wCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:05:45.341321Z"},"content_sha256":"e6ee095122d4ab9197688382e549eb527854bc83a2cd455ccb6f819080cbaa8c","schema_version":"1.0","event_id":"sha256:e6ee095122d4ab9197688382e549eb527854bc83a2cd455ccb6f819080cbaa8c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT/bundle.json","state_url":"https://pith.science/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT/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":"2026-08-07T08:05:45Z","links":{"resolver":"https://pith.science/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT","bundle":"https://pith.science/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT/bundle.json","state":"https://pith.science/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5WAOIBOVPX4S7RCPMBLXUGQCRT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5WAOIBOVPX4S7RCPMBLXUGQCRT","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":"47bbeebf241a56d58df0f20724d5852e4589ba156a592a32db4b9d5573d293b1","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","title_canon_sha256":"729f2820ab7eeca81323c230678e5e4edd43e7454e9200c199cc2fee6df651be"},"schema_version":"1.0","source":{"id":"2012.06659","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.06659","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"arxiv_version","alias_value":"2012.06659v1","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.06659","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_12","alias_value":"5WAOIBOVPX4S","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_16","alias_value":"5WAOIBOVPX4S7RCP","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_8","alias_value":"5WAOIBOV","created_at":"2026-07-05T01:58:58Z"}],"graph_snapshots":[{"event_id":"sha256:e6ee095122d4ab9197688382e549eb527854bc83a2cd455ccb6f819080cbaa8c","target":"graph","created_at":"2026-07-05T01:58:58Z","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/2012.06659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent success in speech representation learning enables a new way to leverage unlabeled data to train speech recognition model. In speech representation learning, a large amount of unlabeled data is used in a self-supervised manner to learn a feature representation. Then a smaller amount of labeled data is used to train a downstream ASR system using the new feature representations. Based on our previous work DeCoAR and inspirations from other speech representation learning, we propose DeCoAR 2.0, a Deep Contextualized Acoustic Representation with vector quantization. We introduce several modi","authors_text":"Shaoshi Ling, Yuzong Liu","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","title":"DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.06659","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:ae2e731603eb657fa4363206acaafb84d090bb1d55f46919145bdcc3de977f8d","target":"record","created_at":"2026-07-05T01:58:58Z","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":"47bbeebf241a56d58df0f20724d5852e4589ba156a592a32db4b9d5573d293b1","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","title_canon_sha256":"729f2820ab7eeca81323c230678e5e4edd43e7454e9200c199cc2fee6df651be"},"schema_version":"1.0","source":{"id":"2012.06659","kind":"arxiv","version":1}},"canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","first_computed_at":"2026-07-05T01:58:58.227402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:58:58.227402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TiRBUFnQOOPoHWdPsMQ1nf4P/l9okfQtm7MNuzGXrc3unaKqNezT7CegwSwpNmo66QWcpOQpalG5O0yVn8ByCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:58:58.227877Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.06659","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae2e731603eb657fa4363206acaafb84d090bb1d55f46919145bdcc3de977f8d","sha256:e6ee095122d4ab9197688382e549eb527854bc83a2cd455ccb6f819080cbaa8c"],"state_sha256":"7b50492cb527ccab6146d58c41412ab9c0e6bcebf051343cc8e5deaf6d05b1fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sUud9/1lJUTWFWPVnr0vjrwXfWfD/r9onNGc+qvrdBciP7C3sSuaq/w3XSxdyuzzQd30kkPhVs5dBh1utZw1Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:05:45.346089Z","bundle_sha256":"54aa7f728b118f2133ba46a417112c99417510eab0103e8ef93a3baa01b63baf"}}