{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JXPGDPYPP763BAY6YB6HY6Z2L7","short_pith_number":"pith:JXPGDPYP","canonical_record":{"source":{"id":"2201.02741","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-01-08T02:19:22Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"3a60040d288e07e6ee193377aa092f7d73e1dc6fa1ce704716f8179d702d1289","abstract_canon_sha256":"5a4f9e265d8d1343f305f385325efd85930d925cfadde5a05fab494db9c7292a"},"schema_version":"1.0"},"canonical_sha256":"4dde61bf0f7ffdb0831ec07c7c7b3a5fe88ac180ce91fb22f01c8de773820f0f","source":{"kind":"arxiv","id":"2201.02741","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.02741","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"arxiv_version","alias_value":"2201.02741v1","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.02741","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"pith_short_12","alias_value":"JXPGDPYPP763","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"pith_short_16","alias_value":"JXPGDPYPP763BAY6","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"pith_short_8","alias_value":"JXPGDPYP","created_at":"2026-07-05T03:46:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JXPGDPYPP763BAY6YB6HY6Z2L7","target":"record","payload":{"canonical_record":{"source":{"id":"2201.02741","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-01-08T02:19:22Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"3a60040d288e07e6ee193377aa092f7d73e1dc6fa1ce704716f8179d702d1289","abstract_canon_sha256":"5a4f9e265d8d1343f305f385325efd85930d925cfadde5a05fab494db9c7292a"},"schema_version":"1.0"},"canonical_sha256":"4dde61bf0f7ffdb0831ec07c7c7b3a5fe88ac180ce91fb22f01c8de773820f0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:46:48.304205Z","signature_b64":"Axk7nmYlnJdpycPMZABrlyM7HpF5b4PsXwOV33mdZvmbxigOVohMF0XTj1cwDu/29q1fWJyvurbmmAoawooMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4dde61bf0f7ffdb0831ec07c7c7b3a5fe88ac180ce91fb22f01c8de773820f0f","last_reissued_at":"2026-07-05T03:46:48.303788Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:46:48.303788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.02741","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":"2026-07-05T03:46:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GDE5vNpZ2fGaoeXGfdXAHHe1kHmbekUFH37ObFnzu/9h0xfW2aISz1rRrrTLSFXC0aXT+79P9wfkITWOCIaeBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:35:02.365601Z"},"content_sha256":"ae1a2144d03897783f86840ef6a81b066d828598addb8bf1e132784e5175ad9a","schema_version":"1.0","event_id":"sha256:ae1a2144d03897783f86840ef6a81b066d828598addb8bf1e132784e5175ad9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JXPGDPYPP763BAY6YB6HY6Z2L7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Two-Pass End-to-End ASR Model Compression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Ashutosh Gupta, Chanwoo Kim, Dhananjaya Gowda, Nauman Dawalatabad, Shatrughan Singh, Sungsoo Kim, Tushar Vatsal","submitted_at":"2022-01-08T02:19:22Z","abstract_excerpt":"Speech recognition on smart devices is challenging owing to the small memory footprint. Hence small size ASR models are desirable. With the use of popular transducer-based models, it has become possible to practically deploy streaming speech recognition models on small devices [1]. Recently, the two-pass model [2] combining RNN-T and LAS modules has shown exceptional performance for streaming on-device speech recognition.\n  In this work, we propose a simple and effective approach to reduce the size of the two-pass model for memory-constrained devices. We employ a popular knowledge distillation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.02741","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/2201.02741/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":"2026-07-05T03:46:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CfVHkjyLn7ITXrGyD7bXJUgUTW0NxZ49Ywl0uogV+JG1Asko49NE0sUWwDiYh43D9ldajDo9JFqUy1HyHp5wDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:35:02.366355Z"},"content_sha256":"f7abd45b6a2685989728584276afb094c69d2e5ce70df161dd415bb30e08fb7c","schema_version":"1.0","event_id":"sha256:f7abd45b6a2685989728584276afb094c69d2e5ce70df161dd415bb30e08fb7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JXPGDPYPP763BAY6YB6HY6Z2L7/bundle.json","state_url":"https://pith.science/pith/JXPGDPYPP763BAY6YB6HY6Z2L7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JXPGDPYPP763BAY6YB6HY6Z2L7/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":"2026-08-04T17:35:02Z","links":{"resolver":"https://pith.science/pith/JXPGDPYPP763BAY6YB6HY6Z2L7","bundle":"https://pith.science/pith/JXPGDPYPP763BAY6YB6HY6Z2L7/bundle.json","state":"https://pith.science/pith/JXPGDPYPP763BAY6YB6HY6Z2L7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JXPGDPYPP763BAY6YB6HY6Z2L7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JXPGDPYPP763BAY6YB6HY6Z2L7","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":"5a4f9e265d8d1343f305f385325efd85930d925cfadde5a05fab494db9c7292a","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-01-08T02:19:22Z","title_canon_sha256":"3a60040d288e07e6ee193377aa092f7d73e1dc6fa1ce704716f8179d702d1289"},"schema_version":"1.0","source":{"id":"2201.02741","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.02741","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"arxiv_version","alias_value":"2201.02741v1","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.02741","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"pith_short_12","alias_value":"JXPGDPYPP763","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"pith_short_16","alias_value":"JXPGDPYPP763BAY6","created_at":"2026-07-05T03:46:48Z"},{"alias_kind":"pith_short_8","alias_value":"JXPGDPYP","created_at":"2026-07-05T03:46:48Z"}],"graph_snapshots":[{"event_id":"sha256:f7abd45b6a2685989728584276afb094c69d2e5ce70df161dd415bb30e08fb7c","target":"graph","created_at":"2026-07-05T03:46:48Z","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/2201.02741/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech recognition on smart devices is challenging owing to the small memory footprint. Hence small size ASR models are desirable. With the use of popular transducer-based models, it has become possible to practically deploy streaming speech recognition models on small devices [1]. Recently, the two-pass model [2] combining RNN-T and LAS modules has shown exceptional performance for streaming on-device speech recognition.\n  In this work, we propose a simple and effective approach to reduce the size of the two-pass model for memory-constrained devices. We employ a popular knowledge distillation","authors_text":"Ashutosh Gupta, Chanwoo Kim, Dhananjaya Gowda, Nauman Dawalatabad, Shatrughan Singh, Sungsoo Kim, Tushar Vatsal","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-01-08T02:19:22Z","title":"Two-Pass End-to-End ASR Model Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.02741","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:ae1a2144d03897783f86840ef6a81b066d828598addb8bf1e132784e5175ad9a","target":"record","created_at":"2026-07-05T03:46:48Z","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":"5a4f9e265d8d1343f305f385325efd85930d925cfadde5a05fab494db9c7292a","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-01-08T02:19:22Z","title_canon_sha256":"3a60040d288e07e6ee193377aa092f7d73e1dc6fa1ce704716f8179d702d1289"},"schema_version":"1.0","source":{"id":"2201.02741","kind":"arxiv","version":1}},"canonical_sha256":"4dde61bf0f7ffdb0831ec07c7c7b3a5fe88ac180ce91fb22f01c8de773820f0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4dde61bf0f7ffdb0831ec07c7c7b3a5fe88ac180ce91fb22f01c8de773820f0f","first_computed_at":"2026-07-05T03:46:48.303788Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:46:48.303788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Axk7nmYlnJdpycPMZABrlyM7HpF5b4PsXwOV33mdZvmbxigOVohMF0XTj1cwDu/29q1fWJyvurbmmAoawooMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:46:48.304205Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.02741","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae1a2144d03897783f86840ef6a81b066d828598addb8bf1e132784e5175ad9a","sha256:f7abd45b6a2685989728584276afb094c69d2e5ce70df161dd415bb30e08fb7c"],"state_sha256":"ec6ea74d83ee2e19a1859f150f15133fdb1fcb908701aa49b64a08298dab1431"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gchPn6uvYMGQnCK/g3JNU+N6Qbet3b1tEE5NOUXeSum9n+A/P4L5J2ACj7y/MrpFWS0veaj/A9NkooGWs/pjBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:35:02.371447Z","bundle_sha256":"d75c5c68aea82321b09ecdb82d7b26af4bb53cbdf1b0acb42d07470d591a2d2c"}}