{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4IZCE7W46UKYMGRKJRVC6ODYGE","short_pith_number":"pith:4IZCE7W4","canonical_record":{"source":{"id":"2303.06740","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-03-12T19:52:34Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b788c45190763692f653eee87962d5858714e1f2cf50cd8bf1d9d27bd217b0d3","abstract_canon_sha256":"a4845b4e9b556b0e7d570dd177c079ca2bf7b49edbcd6db874c1608d7b6b77e6"},"schema_version":"1.0"},"canonical_sha256":"e232227edcf515861a2a4c6a2f387831242daf1afecdb17db1b778cd41f76196","source":{"kind":"arxiv","id":"2303.06740","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06740","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06740v1","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06740","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"4IZCE7W46UKY","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"pith_short_16","alias_value":"4IZCE7W46UKYMGRK","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"pith_short_8","alias_value":"4IZCE7W4","created_at":"2026-07-05T05:50:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4IZCE7W46UKYMGRKJRVC6ODYGE","target":"record","payload":{"canonical_record":{"source":{"id":"2303.06740","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-03-12T19:52:34Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b788c45190763692f653eee87962d5858714e1f2cf50cd8bf1d9d27bd217b0d3","abstract_canon_sha256":"a4845b4e9b556b0e7d570dd177c079ca2bf7b49edbcd6db874c1608d7b6b77e6"},"schema_version":"1.0"},"canonical_sha256":"e232227edcf515861a2a4c6a2f387831242daf1afecdb17db1b778cd41f76196","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:22.682097Z","signature_b64":"9maIuCakWk1v20J6/ZsIhQ3fjLsmD9qVbF11n4mleqZIkkanP6y2olvUiVDHPVrzqQ3dMow3t1XzWkNL7OP3AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e232227edcf515861a2a4c6a2f387831242daf1afecdb17db1b778cd41f76196","last_reissued_at":"2026-07-05T05:50:22.681584Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:22.681584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.06740","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":"2026-07-05T05:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NU99xZbl+y4NppsgEUfft6JPUOzx4zCJ24pudDgYy+hfgv2cDzSt+ZCgGNC7XnYH5pcIaAxK66fezC1eYbcBDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:54.820247Z"},"content_sha256":"de802e3d885b402158d1857c7e135f5b52a72739d4972b644ffdf23ab380f5d5","schema_version":"1.0","event_id":"sha256:de802e3d885b402158d1857c7e135f5b52a72739d4972b644ffdf23ab380f5d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4IZCE7W46UKYMGRKJRVC6ODYGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.AS","authors_text":"Mirco Ravanelli, Robin Algayres, Salah Zaiem, Slim Essid, Titouan Parcollet","submitted_at":"2023-03-12T19:52:34Z","abstract_excerpt":"Self-supervised learning (SSL) has allowed substantial progress in Automatic Speech Recognition (ASR) performance in low-resource settings. In this context, it has been demonstrated that larger self-supervised feature extractors are crucial for achieving lower downstream ASR error rates. Thus, better performance might be sanctioned with longer inferences. This article explores different approaches that may be deployed during the fine-tuning to reduce the computations needed in the SSL encoder, leading to faster inferences. We adapt a number of existing techniques to common ASR settings and ben"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06740","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/2303.06740/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":"2026-07-05T05:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"26PgmxO6bm6IbXhaLFYAbuGKm7x38PpzKnHsLqvCmP2BksrgPkRu+KZ7YRSpARa9sLVa9tO/5cmyOOAlfwTnBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:54.820628Z"},"content_sha256":"c26dffa5d76779d82a140510b6db1f2ede47c095c1fec955bb2f71a83e401ff2","schema_version":"1.0","event_id":"sha256:c26dffa5d76779d82a140510b6db1f2ede47c095c1fec955bb2f71a83e401ff2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4IZCE7W46UKYMGRKJRVC6ODYGE/bundle.json","state_url":"https://pith.science/pith/4IZCE7W46UKYMGRKJRVC6ODYGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4IZCE7W46UKYMGRKJRVC6ODYGE/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":"2026-07-06T19:05:54Z","links":{"resolver":"https://pith.science/pith/4IZCE7W46UKYMGRKJRVC6ODYGE","bundle":"https://pith.science/pith/4IZCE7W46UKYMGRKJRVC6ODYGE/bundle.json","state":"https://pith.science/pith/4IZCE7W46UKYMGRKJRVC6ODYGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4IZCE7W46UKYMGRKJRVC6ODYGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4IZCE7W46UKYMGRKJRVC6ODYGE","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":"a4845b4e9b556b0e7d570dd177c079ca2bf7b49edbcd6db874c1608d7b6b77e6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-03-12T19:52:34Z","title_canon_sha256":"b788c45190763692f653eee87962d5858714e1f2cf50cd8bf1d9d27bd217b0d3"},"schema_version":"1.0","source":{"id":"2303.06740","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06740","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06740v1","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06740","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"4IZCE7W46UKY","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"pith_short_16","alias_value":"4IZCE7W46UKYMGRK","created_at":"2026-07-05T05:50:22Z"},{"alias_kind":"pith_short_8","alias_value":"4IZCE7W4","created_at":"2026-07-05T05:50:22Z"}],"graph_snapshots":[{"event_id":"sha256:c26dffa5d76779d82a140510b6db1f2ede47c095c1fec955bb2f71a83e401ff2","target":"graph","created_at":"2026-07-05T05:50:22Z","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/2303.06740/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning (SSL) has allowed substantial progress in Automatic Speech Recognition (ASR) performance in low-resource settings. In this context, it has been demonstrated that larger self-supervised feature extractors are crucial for achieving lower downstream ASR error rates. Thus, better performance might be sanctioned with longer inferences. This article explores different approaches that may be deployed during the fine-tuning to reduce the computations needed in the SSL encoder, leading to faster inferences. We adapt a number of existing techniques to common ASR settings and ben","authors_text":"Mirco Ravanelli, Robin Algayres, Salah Zaiem, Slim Essid, Titouan Parcollet","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-03-12T19:52:34Z","title":"Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06740","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:de802e3d885b402158d1857c7e135f5b52a72739d4972b644ffdf23ab380f5d5","target":"record","created_at":"2026-07-05T05:50:22Z","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":"a4845b4e9b556b0e7d570dd177c079ca2bf7b49edbcd6db874c1608d7b6b77e6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-03-12T19:52:34Z","title_canon_sha256":"b788c45190763692f653eee87962d5858714e1f2cf50cd8bf1d9d27bd217b0d3"},"schema_version":"1.0","source":{"id":"2303.06740","kind":"arxiv","version":1}},"canonical_sha256":"e232227edcf515861a2a4c6a2f387831242daf1afecdb17db1b778cd41f76196","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e232227edcf515861a2a4c6a2f387831242daf1afecdb17db1b778cd41f76196","first_computed_at":"2026-07-05T05:50:22.681584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:22.681584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9maIuCakWk1v20J6/ZsIhQ3fjLsmD9qVbF11n4mleqZIkkanP6y2olvUiVDHPVrzqQ3dMow3t1XzWkNL7OP3AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:22.682097Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.06740","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de802e3d885b402158d1857c7e135f5b52a72739d4972b644ffdf23ab380f5d5","sha256:c26dffa5d76779d82a140510b6db1f2ede47c095c1fec955bb2f71a83e401ff2"],"state_sha256":"64fd87ce5aaea6f8278e1a7332957c0bc82126c2e7124a8d1743213f008df410"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6BJw+wS+y6m294NuHwr0eEdPJlsb2H+i8nOoujKTVHOTVRPXZ3Nxqw9asIThx+KFFRTKKlSn98WKf3pkguOoBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:05:54.822659Z","bundle_sha256":"4a752840ea45741fa1a957cf47be4dcf2e437899e433fe962b02accd4fd11214"}}