{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XQK3FBPNZXH7MZZACOZJM3LP2U","short_pith_number":"pith:XQK3FBPN","canonical_record":{"source":{"id":"2506.19761","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T16:21:56Z","cross_cats_sorted":[],"title_canon_sha256":"286cb453da6a40a35442c58ef04737963bcb329ddffda52d1afa2af663c6579c","abstract_canon_sha256":"a30359ff4207238a04e54627d0f024e3aff5974a5f68c4bfd0c58aee5311d151"},"schema_version":"1.0"},"canonical_sha256":"bc15b285edcdcff6672013b2966d6fd528ec231dd93823d6e74d7c83c28f4510","source":{"kind":"arxiv","id":"2506.19761","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19761","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19761v1","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19761","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"pith_short_12","alias_value":"XQK3FBPNZXH7","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"pith_short_16","alias_value":"XQK3FBPNZXH7MZZA","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"pith_short_8","alias_value":"XQK3FBPN","created_at":"2026-07-05T11:26:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XQK3FBPNZXH7MZZACOZJM3LP2U","target":"record","payload":{"canonical_record":{"source":{"id":"2506.19761","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T16:21:56Z","cross_cats_sorted":[],"title_canon_sha256":"286cb453da6a40a35442c58ef04737963bcb329ddffda52d1afa2af663c6579c","abstract_canon_sha256":"a30359ff4207238a04e54627d0f024e3aff5974a5f68c4bfd0c58aee5311d151"},"schema_version":"1.0"},"canonical_sha256":"bc15b285edcdcff6672013b2966d6fd528ec231dd93823d6e74d7c83c28f4510","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:38.364714Z","signature_b64":"LHF2FaiZkgXDTnltXrEu0oKStGY88B63BeVGL05L5Q+0ziqII7MChHYEJ0W32Dnwyf6KhEyAzEe4pFZjyzCEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc15b285edcdcff6672013b2966d6fd528ec231dd93823d6e74d7c83c28f4510","last_reissued_at":"2026-07-05T11:26:38.364244Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:38.364244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.19761","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":"2026-07-05T11:26:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WwTD0GpsUSZV3eby44ESumXWRPGpIVuRGD+dkPNZxqgkEuYxcCp0OnY/SH9+rKey8WHWOcsLDcoGvDlC/JX8CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:54:14.909273Z"},"content_sha256":"9486bce6e6fe7ee9e716831cc0131fa5ee1eddf735ea77fa1487c18f807f6269","schema_version":"1.0","event_id":"sha256:9486bce6e6fe7ee9e716831cc0131fa5ee1eddf735ea77fa1487c18f807f6269"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XQK3FBPNZXH7MZZACOZJM3LP2U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Accurate, fast, cheap: Choose three. Replacing Multi-Head-Attention with Bidirectional Recurrent Attention for Long-Form ASR","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jean-Philippe Robichaud, Jennifer Drexler Fox, Martin Ratajczak","submitted_at":"2025-06-24T16:21:56Z","abstract_excerpt":"Long-form speech recognition is an application area of increasing research focus. ASR models based on multi-head attention (MHA) are ill-suited to long-form ASR because of their quadratic complexity in sequence length. We build on recent work that has investigated linear complexity recurrent attention (RA) layers for ASR. We find that bidirectional RA layers can match the accuracy of MHA for both short- and long-form applications. We present a strong limited-context attention (LCA) baseline, and show that RA layers are just as accurate while being more efficient. We develop a long-form trainin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19761","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/2506.19761/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":"2026-07-05T11:26:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0HqbIefrtGn93BD4dXIjy4vNGNYxwNpEzYLbMRA33majcvSk3Emq5oq+Zxnx7/vx78ekSIbR7mch1oi4ZWcgCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:54:14.909903Z"},"content_sha256":"6dd2831d624a7f7f1394556405a1423352e36f9868d1fb460db06fd18a44c43e","schema_version":"1.0","event_id":"sha256:6dd2831d624a7f7f1394556405a1423352e36f9868d1fb460db06fd18a44c43e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XQK3FBPNZXH7MZZACOZJM3LP2U/bundle.json","state_url":"https://pith.science/pith/XQK3FBPNZXH7MZZACOZJM3LP2U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XQK3FBPNZXH7MZZACOZJM3LP2U/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":"2026-08-18T21:54:14Z","links":{"resolver":"https://pith.science/pith/XQK3FBPNZXH7MZZACOZJM3LP2U","bundle":"https://pith.science/pith/XQK3FBPNZXH7MZZACOZJM3LP2U/bundle.json","state":"https://pith.science/pith/XQK3FBPNZXH7MZZACOZJM3LP2U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XQK3FBPNZXH7MZZACOZJM3LP2U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XQK3FBPNZXH7MZZACOZJM3LP2U","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":"a30359ff4207238a04e54627d0f024e3aff5974a5f68c4bfd0c58aee5311d151","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T16:21:56Z","title_canon_sha256":"286cb453da6a40a35442c58ef04737963bcb329ddffda52d1afa2af663c6579c"},"schema_version":"1.0","source":{"id":"2506.19761","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19761","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19761v1","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19761","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"pith_short_12","alias_value":"XQK3FBPNZXH7","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"pith_short_16","alias_value":"XQK3FBPNZXH7MZZA","created_at":"2026-07-05T11:26:38Z"},{"alias_kind":"pith_short_8","alias_value":"XQK3FBPN","created_at":"2026-07-05T11:26:38Z"}],"graph_snapshots":[{"event_id":"sha256:6dd2831d624a7f7f1394556405a1423352e36f9868d1fb460db06fd18a44c43e","target":"graph","created_at":"2026-07-05T11:26:38Z","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/2506.19761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-form speech recognition is an application area of increasing research focus. ASR models based on multi-head attention (MHA) are ill-suited to long-form ASR because of their quadratic complexity in sequence length. We build on recent work that has investigated linear complexity recurrent attention (RA) layers for ASR. We find that bidirectional RA layers can match the accuracy of MHA for both short- and long-form applications. We present a strong limited-context attention (LCA) baseline, and show that RA layers are just as accurate while being more efficient. We develop a long-form trainin","authors_text":"Jean-Philippe Robichaud, Jennifer Drexler Fox, Martin Ratajczak","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T16:21:56Z","title":"Accurate, fast, cheap: Choose three. Replacing Multi-Head-Attention with Bidirectional Recurrent Attention for Long-Form ASR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19761","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":"sha256:9486bce6e6fe7ee9e716831cc0131fa5ee1eddf735ea77fa1487c18f807f6269","target":"record","created_at":"2026-07-05T11:26:38Z","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":"a30359ff4207238a04e54627d0f024e3aff5974a5f68c4bfd0c58aee5311d151","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T16:21:56Z","title_canon_sha256":"286cb453da6a40a35442c58ef04737963bcb329ddffda52d1afa2af663c6579c"},"schema_version":"1.0","source":{"id":"2506.19761","kind":"arxiv","version":1}},"canonical_sha256":"bc15b285edcdcff6672013b2966d6fd528ec231dd93823d6e74d7c83c28f4510","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc15b285edcdcff6672013b2966d6fd528ec231dd93823d6e74d7c83c28f4510","first_computed_at":"2026-07-05T11:26:38.364244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:38.364244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LHF2FaiZkgXDTnltXrEu0oKStGY88B63BeVGL05L5Q+0ziqII7MChHYEJ0W32Dnwyf6KhEyAzEe4pFZjyzCEBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:38.364714Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19761","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9486bce6e6fe7ee9e716831cc0131fa5ee1eddf735ea77fa1487c18f807f6269","sha256:6dd2831d624a7f7f1394556405a1423352e36f9868d1fb460db06fd18a44c43e"],"state_sha256":"f163ba06c3290b2a2464b4c799b25307cc3b67cd5a5648a73e803dc94c2d0f4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mf9RIgkqM9t+A5jT1w2JzDaviHCc/fDkjFhAbDnVR5vIdDwFTjXUmDhz5azg9CwiHigV00Roo1ie6vqK7UalDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T21:54:14.915005Z","bundle_sha256":"e7101da7a16cae300b9919876599bf7b7d9f0b8e7afd4a38b95a2e8e70f94f66"}}