{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2FO4E7QUXNT5FEZVWR46J5APZH","short_pith_number":"pith:2FO4E7QU","canonical_record":{"source":{"id":"2312.01532","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-12-03T23:12:49Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"66602761816099a13380ef25a594cfbee0c174b25fc01710bf53326376f3d376","abstract_canon_sha256":"845ab548bcfbba407a8178f65c5bb61a87ef92c67b187cb5064b3605a622c4a0"},"schema_version":"1.0"},"canonical_sha256":"d15dc27e14bb67d29335b479e4f40fc9f074ad2f4d726f24fdd0be66c8c7cf3a","source":{"kind":"arxiv","id":"2312.01532","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.01532","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"2312.01532v1","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.01532","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"2FO4E7QUXNT5","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"pith_short_16","alias_value":"2FO4E7QUXNT5FEZV","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"pith_short_8","alias_value":"2FO4E7QU","created_at":"2026-07-05T07:19:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2FO4E7QUXNT5FEZVWR46J5APZH","target":"record","payload":{"canonical_record":{"source":{"id":"2312.01532","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-12-03T23:12:49Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"66602761816099a13380ef25a594cfbee0c174b25fc01710bf53326376f3d376","abstract_canon_sha256":"845ab548bcfbba407a8178f65c5bb61a87ef92c67b187cb5064b3605a622c4a0"},"schema_version":"1.0"},"canonical_sha256":"d15dc27e14bb67d29335b479e4f40fc9f074ad2f4d726f24fdd0be66c8c7cf3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:19:56.247220Z","signature_b64":"mONxHx++J8NS2suO2wQSi6hX503thx+a/gh/ZzY2DjBfvoYnOoJzQkXKBba1uCk4LY7rZICUxK67mJPqVfQ0AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d15dc27e14bb67d29335b479e4f40fc9f074ad2f4d726f24fdd0be66c8c7cf3a","last_reissued_at":"2026-07-05T07:19:56.246730Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:19:56.246730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.01532","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":"2026-07-05T07:19:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YukHOtkW68RKTEnKZVD5noPCCZ85005v+EdhlTS8o5XwCkmeSIRbnNESqTFXWgpCsDezwYEXYfBnVJ69y0F1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:23:55.766043Z"},"content_sha256":"5f32edcf00048ceb5800983ccce4996eaa63a2b5c45e7da2cd4b15a81de45124","schema_version":"1.0","event_id":"sha256:5f32edcf00048ceb5800983ccce4996eaa63a2b5c45e7da2cd4b15a81de45124"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2FO4E7QUXNT5FEZVWR46J5APZH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.HC","authors_text":"Ajit Narayanan, Blair Casey, Daniel Vance, Emily Kornman, Katie Seaver, Katrin Tomanek, Meredith Ringel Morris, Michael P. Brenner, Philip Q. Nelson, Robert L. MacDonald, Shanqing Cai, Shaun Kane, Sri Jalasutram, Steve M. Gleason, Subhashini Venugopalan, Xiang Xiao","submitted_at":"2023-12-03T23:12:49Z","abstract_excerpt":"Finding ways to accelerate text input for individuals with profound motor impairments has been a long-standing area of research. Closing the speed gap for augmentative and alternative communication (AAC) devices such as eye-tracking keyboards is important for improving the quality of life for such individuals. Recent advances in neural networks of natural language pose new opportunities for re-thinking strategies and user interfaces for enhanced text-entry for AAC users. In this paper, we present SpeakFaster, consisting of large language models (LLMs) and a co-designed user interface for text "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.01532","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/2312.01532/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":"2026-07-05T07:19:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9K9Ms100b5UUwSRu6qN6kE+WGiftzhZuYFDB3bf7OPEcxHpgUZf8uURuaXncxWroaIZ2cwQ7o+1XPH+BAgJLCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:23:55.766441Z"},"content_sha256":"228df076133ce6cc7544bee701da56cc0317874d0fe0c748010d7f5ec86309d3","schema_version":"1.0","event_id":"sha256:228df076133ce6cc7544bee701da56cc0317874d0fe0c748010d7f5ec86309d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2FO4E7QUXNT5FEZVWR46J5APZH/bundle.json","state_url":"https://pith.science/pith/2FO4E7QUXNT5FEZVWR46J5APZH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2FO4E7QUXNT5FEZVWR46J5APZH/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":"2026-07-06T23:23:55Z","links":{"resolver":"https://pith.science/pith/2FO4E7QUXNT5FEZVWR46J5APZH","bundle":"https://pith.science/pith/2FO4E7QUXNT5FEZVWR46J5APZH/bundle.json","state":"https://pith.science/pith/2FO4E7QUXNT5FEZVWR46J5APZH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2FO4E7QUXNT5FEZVWR46J5APZH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2FO4E7QUXNT5FEZVWR46J5APZH","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":"845ab548bcfbba407a8178f65c5bb61a87ef92c67b187cb5064b3605a622c4a0","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-12-03T23:12:49Z","title_canon_sha256":"66602761816099a13380ef25a594cfbee0c174b25fc01710bf53326376f3d376"},"schema_version":"1.0","source":{"id":"2312.01532","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.01532","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"2312.01532v1","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.01532","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"2FO4E7QUXNT5","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"pith_short_16","alias_value":"2FO4E7QUXNT5FEZV","created_at":"2026-07-05T07:19:56Z"},{"alias_kind":"pith_short_8","alias_value":"2FO4E7QU","created_at":"2026-07-05T07:19:56Z"}],"graph_snapshots":[{"event_id":"sha256:228df076133ce6cc7544bee701da56cc0317874d0fe0c748010d7f5ec86309d3","target":"graph","created_at":"2026-07-05T07:19:56Z","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/2312.01532/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Finding ways to accelerate text input for individuals with profound motor impairments has been a long-standing area of research. Closing the speed gap for augmentative and alternative communication (AAC) devices such as eye-tracking keyboards is important for improving the quality of life for such individuals. Recent advances in neural networks of natural language pose new opportunities for re-thinking strategies and user interfaces for enhanced text-entry for AAC users. In this paper, we present SpeakFaster, consisting of large language models (LLMs) and a co-designed user interface for text ","authors_text":"Ajit Narayanan, Blair Casey, Daniel Vance, Emily Kornman, Katie Seaver, Katrin Tomanek, Meredith Ringel Morris, Michael P. Brenner, Philip Q. Nelson, Robert L. MacDonald, Shanqing Cai, Shaun Kane, Sri Jalasutram, Steve M. Gleason, Subhashini Venugopalan, Xiang Xiao","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-12-03T23:12:49Z","title":"Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.01532","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":"sha256:5f32edcf00048ceb5800983ccce4996eaa63a2b5c45e7da2cd4b15a81de45124","target":"record","created_at":"2026-07-05T07:19:56Z","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":"845ab548bcfbba407a8178f65c5bb61a87ef92c67b187cb5064b3605a622c4a0","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-12-03T23:12:49Z","title_canon_sha256":"66602761816099a13380ef25a594cfbee0c174b25fc01710bf53326376f3d376"},"schema_version":"1.0","source":{"id":"2312.01532","kind":"arxiv","version":1}},"canonical_sha256":"d15dc27e14bb67d29335b479e4f40fc9f074ad2f4d726f24fdd0be66c8c7cf3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d15dc27e14bb67d29335b479e4f40fc9f074ad2f4d726f24fdd0be66c8c7cf3a","first_computed_at":"2026-07-05T07:19:56.246730Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:19:56.246730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mONxHx++J8NS2suO2wQSi6hX503thx+a/gh/ZzY2DjBfvoYnOoJzQkXKBba1uCk4LY7rZICUxK67mJPqVfQ0AA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:19:56.247220Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.01532","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f32edcf00048ceb5800983ccce4996eaa63a2b5c45e7da2cd4b15a81de45124","sha256:228df076133ce6cc7544bee701da56cc0317874d0fe0c748010d7f5ec86309d3"],"state_sha256":"a35d58f59c3220f09a990572d82a136dcc498727bb8b36bb8034077ed98d7032"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UtJhUox/sbumvTAqUEuwtfgS1ublohtPjgwpijWR88l7ihxbu1DgomGrQjuHpaMqpLoCY8Qt6D6EyjEDrM3fAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:23:55.768326Z","bundle_sha256":"57b0511591d0660ad3d30027d10143821ce386537063cd8c62979acc90f5a657"}}