{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NFMJSMC4VU65J2CUQ5XFX7DXWT","short_pith_number":"pith:NFMJSMC4","canonical_record":{"source":{"id":"2302.09331","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-02-18T13:46:12Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"9f9a14cfcdf46509a34244d5d28c42330e292bee07ec8d799a4d48c959ad0564","abstract_canon_sha256":"b6e5d50f06944d4fc92f8bdcbd5460d203aa990db0b7dcf260eab69fa472044d"},"schema_version":"1.0"},"canonical_sha256":"695899305cad3dd4e854876e5bfc77b4c038f4cbe3cf62a05ed76c797b7fc0c8","source":{"kind":"arxiv","id":"2302.09331","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09331","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09331v1","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09331","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"NFMJSMC4VU65","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"NFMJSMC4VU65J2CU","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"NFMJSMC4","created_at":"2026-07-05T05:43:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NFMJSMC4VU65J2CUQ5XFX7DXWT","target":"record","payload":{"canonical_record":{"source":{"id":"2302.09331","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-02-18T13:46:12Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"9f9a14cfcdf46509a34244d5d28c42330e292bee07ec8d799a4d48c959ad0564","abstract_canon_sha256":"b6e5d50f06944d4fc92f8bdcbd5460d203aa990db0b7dcf260eab69fa472044d"},"schema_version":"1.0"},"canonical_sha256":"695899305cad3dd4e854876e5bfc77b4c038f4cbe3cf62a05ed76c797b7fc0c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:43:24.273337Z","signature_b64":"wQBSH0vWlGKumeBHS01oOpij3GkaalgN4v5+gxTbDGGBPx52SS2w4y/cRKjpx0sEe06zawvh+r1hNBO6j1W7Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"695899305cad3dd4e854876e5bfc77b4c038f4cbe3cf62a05ed76c797b7fc0c8","last_reissued_at":"2026-07-05T05:43:24.272823Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:43:24.272823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.09331","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":"2026-07-05T05:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sJn7WmYTBoA7Saf4BJcuY4GAKtLEGbsH4WpZDJirf1IQA9Ri2PTdzGh5Et4ZbWW0UWQK875dESf9CC6eSbLvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:07:14.396471Z"},"content_sha256":"60963cd3c56fbcf9824a5e6cd1cbe7da9b130c76899643d015a00d554f2ebaf7","schema_version":"1.0","event_id":"sha256:60963cd3c56fbcf9824a5e6cd1cbe7da9b130c76899643d015a00d554f2ebaf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NFMJSMC4VU65J2CUQ5XFX7DXWT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Front-End Adapter: Adapting Front-End Input of Speech based Self-Supervised Learning for Speech Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Changli Tang, Xie Chen, Yujin Wang, Zhisheng Zheng, Ziyang Ma","submitted_at":"2023-02-18T13:46:12Z","abstract_excerpt":"Recent years have witnessed a boom in self-supervised learning (SSL) in various areas including speech processing. Speech based SSL models present promising performance in a range of speech related tasks. However, the training of SSL models is computationally expensive and a common practice is to fine-tune a released SSL model on the specific task. It is essential to use consistent front-end input during pre-training and fine-tuning. This consistency may introduce potential issues when the optimal front-end is not the same as that used in pre-training. In this paper, we propose a simple but ef"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09331","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/2302.09331/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":"2026-07-05T05:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rLUj+R5IKwy0Unt1Vkl5Yo0oMq6B9rwMZr7h4Dixv357S5glnsLWQ2WDrB9jADMldAaeyAU5bznX7FpgjsxYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:07:14.397418Z"},"content_sha256":"54329aefd73b0bc6ca96a0603e2f8bf2d41398e39c2b896653e6f4460cc669ad","schema_version":"1.0","event_id":"sha256:54329aefd73b0bc6ca96a0603e2f8bf2d41398e39c2b896653e6f4460cc669ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT/bundle.json","state_url":"https://pith.science/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT/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":"2026-08-06T14:07:14Z","links":{"resolver":"https://pith.science/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT","bundle":"https://pith.science/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT/bundle.json","state":"https://pith.science/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NFMJSMC4VU65J2CUQ5XFX7DXWT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NFMJSMC4VU65J2CUQ5XFX7DXWT","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":"b6e5d50f06944d4fc92f8bdcbd5460d203aa990db0b7dcf260eab69fa472044d","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-02-18T13:46:12Z","title_canon_sha256":"9f9a14cfcdf46509a34244d5d28c42330e292bee07ec8d799a4d48c959ad0564"},"schema_version":"1.0","source":{"id":"2302.09331","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09331","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09331v1","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09331","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"NFMJSMC4VU65","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"NFMJSMC4VU65J2CU","created_at":"2026-07-05T05:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"NFMJSMC4","created_at":"2026-07-05T05:43:24Z"}],"graph_snapshots":[{"event_id":"sha256:54329aefd73b0bc6ca96a0603e2f8bf2d41398e39c2b896653e6f4460cc669ad","target":"graph","created_at":"2026-07-05T05:43:24Z","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/2302.09331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have witnessed a boom in self-supervised learning (SSL) in various areas including speech processing. Speech based SSL models present promising performance in a range of speech related tasks. However, the training of SSL models is computationally expensive and a common practice is to fine-tune a released SSL model on the specific task. It is essential to use consistent front-end input during pre-training and fine-tuning. This consistency may introduce potential issues when the optimal front-end is not the same as that used in pre-training. In this paper, we propose a simple but ef","authors_text":"Changli Tang, Xie Chen, Yujin Wang, Zhisheng Zheng, Ziyang Ma","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-02-18T13:46:12Z","title":"Front-End Adapter: Adapting Front-End Input of Speech based Self-Supervised Learning for Speech Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09331","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":"sha256:60963cd3c56fbcf9824a5e6cd1cbe7da9b130c76899643d015a00d554f2ebaf7","target":"record","created_at":"2026-07-05T05:43:24Z","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":"b6e5d50f06944d4fc92f8bdcbd5460d203aa990db0b7dcf260eab69fa472044d","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-02-18T13:46:12Z","title_canon_sha256":"9f9a14cfcdf46509a34244d5d28c42330e292bee07ec8d799a4d48c959ad0564"},"schema_version":"1.0","source":{"id":"2302.09331","kind":"arxiv","version":1}},"canonical_sha256":"695899305cad3dd4e854876e5bfc77b4c038f4cbe3cf62a05ed76c797b7fc0c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"695899305cad3dd4e854876e5bfc77b4c038f4cbe3cf62a05ed76c797b7fc0c8","first_computed_at":"2026-07-05T05:43:24.272823Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:43:24.272823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wQBSH0vWlGKumeBHS01oOpij3GkaalgN4v5+gxTbDGGBPx52SS2w4y/cRKjpx0sEe06zawvh+r1hNBO6j1W7Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:43:24.273337Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.09331","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60963cd3c56fbcf9824a5e6cd1cbe7da9b130c76899643d015a00d554f2ebaf7","sha256:54329aefd73b0bc6ca96a0603e2f8bf2d41398e39c2b896653e6f4460cc669ad"],"state_sha256":"dcd8daefbfb5aa4aaf89724db3be13856c94c6634eeb9ef816747b242557d0d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Af9xRtUl/RuOzU5X+20zN3ix89j/PNFoUzbponxxrXgzw51WHV6tx3NBP0A2bCY2ft3u0cPfv1yqYbDV1huCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T14:07:14.404715Z","bundle_sha256":"0deb8438a2c9f6fcf43de3a52a7970d15b5a3e4922c34ed0a29166aede796922"}}