{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4BCWFKVU6SXMLEBWUHETFAG6TU","short_pith_number":"pith:4BCWFKVU","canonical_record":{"source":{"id":"2409.15594","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T23:01:31Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"title_canon_sha256":"8b51f83d29dab63dae8bb6a90dbb1253763ca5a3a43cd3af2101e52de2dc35a9","abstract_canon_sha256":"a949d48c99007d8f75174a4a8135076ae020892e92e58b87ac81378ddf015f8a"},"schema_version":"1.0"},"canonical_sha256":"e04562aab4f4aec59036a1c93280de9d0dee961e0032af58931adf509bceb1bf","source":{"kind":"arxiv","id":"2409.15594","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15594","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15594v1","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15594","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"pith_short_12","alias_value":"4BCWFKVU6SXM","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"pith_short_16","alias_value":"4BCWFKVU6SXMLEBW","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"pith_short_8","alias_value":"4BCWFKVU","created_at":"2026-07-05T09:10:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4BCWFKVU6SXMLEBWUHETFAG6TU","target":"record","payload":{"canonical_record":{"source":{"id":"2409.15594","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T23:01:31Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"title_canon_sha256":"8b51f83d29dab63dae8bb6a90dbb1253763ca5a3a43cd3af2101e52de2dc35a9","abstract_canon_sha256":"a949d48c99007d8f75174a4a8135076ae020892e92e58b87ac81378ddf015f8a"},"schema_version":"1.0"},"canonical_sha256":"e04562aab4f4aec59036a1c93280de9d0dee961e0032af58931adf509bceb1bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:57.088264Z","signature_b64":"ZooMi9UHktS4J8atuGXF9+vxHHIziLy/9iznDf9XXkyg9PhpL4TS2IE4hCEjKUgEKCFkFilJXI27UM2V1CkKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e04562aab4f4aec59036a1c93280de9d0dee961e0032af58931adf509bceb1bf","last_reissued_at":"2026-07-05T09:10:57.087743Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:57.087743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.15594","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":"2026-07-05T09:10:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x2oop3i9Kb2YyFZ/m4U+zBot8sgXzHLzvUYCM80wcN6PE8JhBo5Y1mvKDWe7oS2OLeVaGLBdKBn1gRZdViZHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:22:23.609506Z"},"content_sha256":"3afd99a8908b06e0899910fa94bbe557addcab901b8efc09295b853de0de9314","schema_version":"1.0","event_id":"sha256:3afd99a8908b06e0899910fa94bbe557addcab901b8efc09295b853de0de9314"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4BCWFKVU6SXMLEBWUHETFAG6TU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Bandhav Veluri, Benjamin N Peloquin, Bokai Yu, Hongyu Gong, Shyamnath Gollakota","submitted_at":"2024-09-23T23:01:31Z","abstract_excerpt":"Despite broad interest in modeling spoken dialogue agents, most approaches are inherently \"half-duplex\" -- restricted to turn-based interaction with responses requiring explicit prompting by the user or implicit tracking of interruption or silence events. Human dialogue, by contrast, is \"full-duplex\" allowing for rich synchronicity in the form of quick and dynamic turn-taking, overlapping speech, and backchanneling. Technically, the challenge of achieving full-duplex dialogue with LLMs lies in modeling synchrony as pre-trained LLMs do not have a sense of \"time\". To bridge this gap, we propose "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15594","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/2409.15594/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":"2026-07-05T09:10:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wvKCw3Ayyfcq6o/C0mP5ljZp8u8ij6ttey1DimZkTZEUbj76XHry+mWAp+Nreltu0mBN+hANDCljz9FqPCKaCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:22:23.609876Z"},"content_sha256":"f64846c45bd2ce69d1584902085d41d40ccd84411c2b390a0a8aa6f544fcbc99","schema_version":"1.0","event_id":"sha256:f64846c45bd2ce69d1584902085d41d40ccd84411c2b390a0a8aa6f544fcbc99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BCWFKVU6SXMLEBWUHETFAG6TU/bundle.json","state_url":"https://pith.science/pith/4BCWFKVU6SXMLEBWUHETFAG6TU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BCWFKVU6SXMLEBWUHETFAG6TU/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":"2026-07-06T17:22:23Z","links":{"resolver":"https://pith.science/pith/4BCWFKVU6SXMLEBWUHETFAG6TU","bundle":"https://pith.science/pith/4BCWFKVU6SXMLEBWUHETFAG6TU/bundle.json","state":"https://pith.science/pith/4BCWFKVU6SXMLEBWUHETFAG6TU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BCWFKVU6SXMLEBWUHETFAG6TU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4BCWFKVU6SXMLEBWUHETFAG6TU","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":"a949d48c99007d8f75174a4a8135076ae020892e92e58b87ac81378ddf015f8a","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T23:01:31Z","title_canon_sha256":"8b51f83d29dab63dae8bb6a90dbb1253763ca5a3a43cd3af2101e52de2dc35a9"},"schema_version":"1.0","source":{"id":"2409.15594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15594","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15594v1","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15594","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"pith_short_12","alias_value":"4BCWFKVU6SXM","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"pith_short_16","alias_value":"4BCWFKVU6SXMLEBW","created_at":"2026-07-05T09:10:57Z"},{"alias_kind":"pith_short_8","alias_value":"4BCWFKVU","created_at":"2026-07-05T09:10:57Z"}],"graph_snapshots":[{"event_id":"sha256:f64846c45bd2ce69d1584902085d41d40ccd84411c2b390a0a8aa6f544fcbc99","target":"graph","created_at":"2026-07-05T09:10:57Z","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/2409.15594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite broad interest in modeling spoken dialogue agents, most approaches are inherently \"half-duplex\" -- restricted to turn-based interaction with responses requiring explicit prompting by the user or implicit tracking of interruption or silence events. Human dialogue, by contrast, is \"full-duplex\" allowing for rich synchronicity in the form of quick and dynamic turn-taking, overlapping speech, and backchanneling. Technically, the challenge of achieving full-duplex dialogue with LLMs lies in modeling synchrony as pre-trained LLMs do not have a sense of \"time\". To bridge this gap, we propose ","authors_text":"Bandhav Veluri, Benjamin N Peloquin, Bokai Yu, Hongyu Gong, Shyamnath Gollakota","cross_cats":["cs.LG","cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T23:01:31Z","title":"Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15594","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":"sha256:3afd99a8908b06e0899910fa94bbe557addcab901b8efc09295b853de0de9314","target":"record","created_at":"2026-07-05T09:10:57Z","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":"a949d48c99007d8f75174a4a8135076ae020892e92e58b87ac81378ddf015f8a","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T23:01:31Z","title_canon_sha256":"8b51f83d29dab63dae8bb6a90dbb1253763ca5a3a43cd3af2101e52de2dc35a9"},"schema_version":"1.0","source":{"id":"2409.15594","kind":"arxiv","version":1}},"canonical_sha256":"e04562aab4f4aec59036a1c93280de9d0dee961e0032af58931adf509bceb1bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e04562aab4f4aec59036a1c93280de9d0dee961e0032af58931adf509bceb1bf","first_computed_at":"2026-07-05T09:10:57.087743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:57.087743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZooMi9UHktS4J8atuGXF9+vxHHIziLy/9iznDf9XXkyg9PhpL4TS2IE4hCEjKUgEKCFkFilJXI27UM2V1CkKCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:57.088264Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3afd99a8908b06e0899910fa94bbe557addcab901b8efc09295b853de0de9314","sha256:f64846c45bd2ce69d1584902085d41d40ccd84411c2b390a0a8aa6f544fcbc99"],"state_sha256":"148bb2503f3e3559821a79462e698f86e11aea3d40cf73dcf2ac8e7aa06e1266"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nmj4Dq7yaCzHmYZCHA+gTOl6494h8M3xR75dF3Hf6K+J9/Qo3fm4PbwJtHglu5FmnaDXBJdAfhbgY7B4GOk6Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:22:23.614666Z","bundle_sha256":"20cda85a8f6fd3f3bf912eb26ad9da53565ad4d86a7adeb8b7b884dedfd407f0"}}