{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:5JWYWL5YZWYGC4GCUXFRFMZUL2","short_pith_number":"pith:5JWYWL5Y","canonical_record":{"source":{"id":"2107.13530","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-07-26T10:39:03Z","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"41b5e34f27e12ed21b895768704f0203b113718609b4b8d4e2cd826d86f2c841","abstract_canon_sha256":"9c0bf11d5eaed10b5cdc1cdae3c9fdb121dbc5980bf19d66f11baf43a97e386e"},"schema_version":"1.0"},"canonical_sha256":"ea6d8b2fb8cdb06170c2a5cb12b3345e9d50db9169f14c5571ec64af76b921e0","source":{"kind":"arxiv","id":"2107.13530","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.13530","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"arxiv_version","alias_value":"2107.13530v2","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.13530","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"pith_short_12","alias_value":"5JWYWL5YZWYG","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"pith_short_16","alias_value":"5JWYWL5YZWYGC4GC","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"pith_short_8","alias_value":"5JWYWL5Y","created_at":"2026-07-05T03:54:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:5JWYWL5YZWYGC4GCUXFRFMZUL2","target":"record","payload":{"canonical_record":{"source":{"id":"2107.13530","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-07-26T10:39:03Z","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"41b5e34f27e12ed21b895768704f0203b113718609b4b8d4e2cd826d86f2c841","abstract_canon_sha256":"9c0bf11d5eaed10b5cdc1cdae3c9fdb121dbc5980bf19d66f11baf43a97e386e"},"schema_version":"1.0"},"canonical_sha256":"ea6d8b2fb8cdb06170c2a5cb12b3345e9d50db9169f14c5571ec64af76b921e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:22.459969Z","signature_b64":"0FejD9D+HAXhyIi/YUE6X1hN5564wRI4PtYXRhGT6j9UqIXa4VL4tbBi640I1ZyYmiTLHSPE36wvBrLHnUcGBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea6d8b2fb8cdb06170c2a5cb12b3345e9d50db9169f14c5571ec64af76b921e0","last_reissued_at":"2026-07-05T03:54:22.459454Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:22.459454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.13530","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:54:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wlAyiS1sy9cMHQ9s+pN6aEEinh5T2Eq0yq8fShYXt4bA5lHIm11FbdVxqZ7HJ7ysqbisDsv54S6CVHwErypRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:26:32.235108Z"},"content_sha256":"7f140917aa9e451b568806c914f8d46dc06b4ae94ff171f8052c9c7404ac8584","schema_version":"1.0","event_id":"sha256:7f140917aa9e451b568806c914f8d46dc06b4ae94ff171f8052c9c7404ac8584"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:5JWYWL5YZWYGC4GCUXFRFMZUL2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Bethan Thomas, Salah Karout, Samuel Kessler","submitted_at":"2021-07-26T10:39:03Z","abstract_excerpt":"We present a method for transferring pre-trained self-supervised (SSL) speech representations to multiple languages. There is an abundance of unannotated speech, so creating self-supervised representations from raw audio and fine-tuning on small annotated datasets is a promising direction to build speech recognition systems. SSL models generally perform SSL on raw audio in a pre-training phase and then fine-tune on a small fraction of annotated data. Such models have produced state of the art results for ASR. However, these models are very expensive to pre-train. We use an existing wav2vec 2.0"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.13530","kind":"arxiv","version":2},"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/2107.13530/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":"2026-07-05T03:54:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pxlnocVYmixkFEZ26hNiTH3pgCDTCUcPf+B+tyP5R7n2b+yUwMOTJR9Um3xwjC+fZUlgSqUWxisc8G+DaQwwDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:26:32.235815Z"},"content_sha256":"490d54562620dab1372524e8b7e4591825de6a85ad459a5d982476c4f88b6a9a","schema_version":"1.0","event_id":"sha256:490d54562620dab1372524e8b7e4591825de6a85ad459a5d982476c4f88b6a9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2/bundle.json","state_url":"https://pith.science/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2/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":"2026-08-13T04:26:32Z","links":{"resolver":"https://pith.science/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2","bundle":"https://pith.science/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2/bundle.json","state":"https://pith.science/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5JWYWL5YZWYGC4GCUXFRFMZUL2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5JWYWL5YZWYGC4GCUXFRFMZUL2","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":"9c0bf11d5eaed10b5cdc1cdae3c9fdb121dbc5980bf19d66f11baf43a97e386e","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-07-26T10:39:03Z","title_canon_sha256":"41b5e34f27e12ed21b895768704f0203b113718609b4b8d4e2cd826d86f2c841"},"schema_version":"1.0","source":{"id":"2107.13530","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.13530","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"arxiv_version","alias_value":"2107.13530v2","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.13530","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"pith_short_12","alias_value":"5JWYWL5YZWYG","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"pith_short_16","alias_value":"5JWYWL5YZWYGC4GC","created_at":"2026-07-05T03:54:22Z"},{"alias_kind":"pith_short_8","alias_value":"5JWYWL5Y","created_at":"2026-07-05T03:54:22Z"}],"graph_snapshots":[{"event_id":"sha256:490d54562620dab1372524e8b7e4591825de6a85ad459a5d982476c4f88b6a9a","target":"graph","created_at":"2026-07-05T03:54:22Z","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/2107.13530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a method for transferring pre-trained self-supervised (SSL) speech representations to multiple languages. There is an abundance of unannotated speech, so creating self-supervised representations from raw audio and fine-tuning on small annotated datasets is a promising direction to build speech recognition systems. SSL models generally perform SSL on raw audio in a pre-training phase and then fine-tune on a small fraction of annotated data. Such models have produced state of the art results for ASR. However, these models are very expensive to pre-train. We use an existing wav2vec 2.0","authors_text":"Bethan Thomas, Salah Karout, Samuel Kessler","cross_cats":["cs.CL","cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-07-26T10:39:03Z","title":"An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.13530","kind":"arxiv","version":2},"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":"sha256:7f140917aa9e451b568806c914f8d46dc06b4ae94ff171f8052c9c7404ac8584","target":"record","created_at":"2026-07-05T03:54:22Z","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":"9c0bf11d5eaed10b5cdc1cdae3c9fdb121dbc5980bf19d66f11baf43a97e386e","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-07-26T10:39:03Z","title_canon_sha256":"41b5e34f27e12ed21b895768704f0203b113718609b4b8d4e2cd826d86f2c841"},"schema_version":"1.0","source":{"id":"2107.13530","kind":"arxiv","version":2}},"canonical_sha256":"ea6d8b2fb8cdb06170c2a5cb12b3345e9d50db9169f14c5571ec64af76b921e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea6d8b2fb8cdb06170c2a5cb12b3345e9d50db9169f14c5571ec64af76b921e0","first_computed_at":"2026-07-05T03:54:22.459454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:22.459454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0FejD9D+HAXhyIi/YUE6X1hN5564wRI4PtYXRhGT6j9UqIXa4VL4tbBi640I1ZyYmiTLHSPE36wvBrLHnUcGBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:22.459969Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.13530","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f140917aa9e451b568806c914f8d46dc06b4ae94ff171f8052c9c7404ac8584","sha256:490d54562620dab1372524e8b7e4591825de6a85ad459a5d982476c4f88b6a9a"],"state_sha256":"fbb6bd9aea82c71667891df4977b96a7dda94aae20f324e1687ddc2c6a701777"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/QNEzxN5bGOxsttWXEK4qHi8nvBw+z9yyQso9IFA5lvfFO+1wqva66vmCeE2P0PqdKaGEr7wE1JMaTmhoIxTAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T04:26:32.241497Z","bundle_sha256":"3b019e9913189cae9ea3389f270fe82fc05ac80618e23f616e89614666c65bf1"}}