{"as_of":"2026-08-10T14:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8ed17aee6fcfd30a59c1d8f7363b1fd4d762dddba1afe2c9b9b345c91299b4aa","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T03:20:33.361543Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.23204/citation-record","integrity":"/paper/2607.23204/integrity","json":"/paper/2607.23204/citation-record.json","paper":"/paper/2607.23204"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.271149Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.271149Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:d98429d0d3506883c9d2e87a427d93dc0bc735bcc8ff2be656f561cc9a36c635","observation_id":"554e4143-63c4-4b25-a7f3-d6f4b5919cda","resolution":{"observed_at":"2026-08-01T03:20:33.271149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.275503Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.275503Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:55ca66fbd0b69ebde177491074e74dd1cf95f9dc52c5305362768dfaea296c00","observation_id":"c022878c-867a-4b5d-a4a5-eaae99c069e7","resolution":{"observed_at":"2026-08-01T03:20:33.275503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00037","last_updated":"2024-10-02T09:11:45Z","snapshot_observed_at":"2026-07-30T10:21:14.474746Z","submitted_at":"2024-09-17T17:55:39Z","title":"Moshi: a speech-text foundation model for real-time dialogue","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00037","snapshot_observed_at":"2026-08-01T03:20:33.278658Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.278658Z"},"links":{"cited_paper":"/paper/2410.00037","citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:41793391cdde1a270bde413140a94efefead6e6b1c47d00b11c6ed664b44cf2c","observation_id":"bd02159b-d29b-4b8a-92d4-95bde9f03079","resolution":{"observed_at":"2026-08-01T03:20:33.278658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.282501Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.282501Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:42183bf1ba42a052f7a3f97a737687be4f68643b705e5ffd1a0d75649dd369ab","observation_id":"b956f10b-d033-4967-8f94-3e4d83229a3c","resolution":{"observed_at":"2026-08-01T03:20:33.282501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.285670Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.285670Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:12e580b7e602388d5f6fa5de3d9ba19c9e568ab82a54331fcda9b0ae7698900c","observation_id":"84a57dab-ef0e-481f-bcc1-ebdb069be1ce","resolution":{"observed_at":"2026-08-01T03:20:33.285670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.288935Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.288935Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:5d2b7913322e227af7418efb19f5920a22b9aa6b8631055fa8636da6b44e9afd","observation_id":"fc53497a-3111-4138-811a-6bc7dadd8686","resolution":{"observed_at":"2026-08-01T03:20:33.288935Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-60615-1_2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Lecture notes in computer science","work_id":"74e89b0d-0410-4fe4-ac7b-9a34cc8e752c","year":2024},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.292813Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:1f0b6263be293545aae6037ed275f611caf50360ea54cac945ff0cf7d207c2c3","observation_id":"29ce2061-ebe2-4c77-a084-9ab13d2e21c6","resolution":{"observed_at":"2026-08-01T03:24:18.664151Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.295857Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.295857Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:41444d71b72931b05ab42e7277f19ac895a8c1dca182185396a8dc863e796e09","observation_id":"08faeef8-bd6e-4302-ae83-194cffd288e5","resolution":{"observed_at":"2026-08-01T03:20:33.295857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.298669Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.298669Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:0f2bead3a6a6e970a1606108e28e61d8533327091017b6b52baa66486c77e761","observation_id":"54ff3841-343c-4888-87cb-bd7d907dd67d","resolution":{"observed_at":"2026-08-01T03:20:33.298669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.304650Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.304650Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:06299739d8f838d203247e94dc7be604d1e0341eeb34c343d641c52e27fe6f3e","observation_id":"8a853514-c066-4666-9467-755ac93e501b","resolution":{"observed_at":"2026-08-01T03:20:33.304650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.307361Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.307361Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:487ab02807b0cfd301265f0cf98ad8c59afc18af42060bfe3be99eb2544a7526","observation_id":"9d2e7213-899f-4c94-a9c6-2a6d0d1ca6ef","resolution":{"observed_at":"2026-08-01T03:20:33.307361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s12369-023-01068-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"International Journal of Social Robotics","work_id":"bc78b25c-d8c9-4e45-8652-c52d442f2757","year":2024},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.310408Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:6a22e8758871e48bb8d98911d5cfa280cb0e768704dd2a31a0cae239e253aab2","observation_id":"d6535828-60b8-4335-83bf-e8382346e444","resolution":{"observed_at":"2026-08-01T03:24:18.571351Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.313010Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.313010Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:5fbad90684115c662dfd62c5537ffe227a6004f997bcc39a35b8e20b564800b2","observation_id":"2a7d2c6e-27a0-4eb5-8aee-705b87a29fa6","resolution":{"observed_at":"2026-08-01T03:20:33.313010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.315834Z","title":"Levinson and Francisco Torreira","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.315834Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:54864c6ef722bad96ec1c30bb6aacb0f08fbd882212da711c57bfff7510565c0","observation_id":"169a159d-09ef-4aae-8c58-42e3fe0c36de","resolution":{"observed_at":"2026-08-01T03:20:33.315834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.321305Z","title":"McMahan, and Joseph J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.321305Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:d8217e109c133192981127edbdc606c78d3e0c8ca579bf16d7bf1cf7bfee1b52","observation_id":"52e33ca7-edee-4c2f-9987-8d6a3dbc6918","resolution":{"observed_at":"2026-08-01T03:20:33.321305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.324012Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.324012Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:3b3bfb7e946608ee2d438ddf62e4d75f97d4a2346ce3e9b8de383a84911fc45d","observation_id":"a83b4684-8eb7-49be-8088-83beee421efd","resolution":{"observed_at":"2026-08-01T03:20:33.324012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.330204Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.330204Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:23dee95d7bb7d821564ec716d82af287377bc1d914a35225339ae90f235fac62","observation_id":"106eb9e4-1505-4b6d-b9e3-9adb5cfd2478","resolution":{"observed_at":"2026-08-01T03:20:33.330204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.333051Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.333051Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:dd7bc3822e80b01f9e804eabb9ca6ebacb812b4bbda4a415f79180a0a85ef2fc","observation_id":"449926b2-c313-4bf8-905e-84f4a144debb","resolution":{"observed_at":"2026-08-01T03:20:33.333051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.335615Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.335615Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:93ab90798f8629e4d5e0a5dcf7bc4b03bb85286f958f196e95c172fadc41c6b7","observation_id":"27839d54-7a13-439a-8bbc-98fd38d1b3e9","resolution":{"observed_at":"2026-08-01T03:20:33.335615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.341354Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.341354Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:66c59ce3c7b74f44cd3d1cee231265e7d1d386709ec0246e5d4f2af81508b683","observation_id":"2a15cbad-ded8-4994-aee7-b57bf51bc777","resolution":{"observed_at":"2026-08-01T03:20:33.341354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.344357Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.344357Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:1d5241cc21a1332ff097473a67ba48301c106a2578e4af00f84da991fefc3ec6","observation_id":"e7f9a91d-0c51-48bf-9a4c-48349f89e893","resolution":{"observed_at":"2026-08-01T03:20:33.344357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.347079Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.347079Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:4be53d6980fd0cedd75d725d9e977073c5e71b2a1174d549cd9a49ccf562194a","observation_id":"2a497fd2-4045-4cec-ba78-f6727deebbf8","resolution":{"observed_at":"2026-08-01T03:20:33.347079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.349800Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.349800Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:4c8e601f10f63638f91cc9ac27bfa815acb8f773739a33380fe63d2e9eb4d483","observation_id":"24823846-df2b-4c8f-abf4-80fc00b05ec9","resolution":{"observed_at":"2026-08-01T03:20:33.349800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.352685Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.352685Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:d7f4206e13993668c138af0273cd786b21203e873aea466fcd68e9441ddaaee4","observation_id":"680996df-acdd-4a92-a9b9-f911b9c52555","resolution":{"observed_at":"2026-08-01T03:20:33.352685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13663","last_updated":"2024-12-19T06:32:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-18T09:39:44Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13663","snapshot_observed_at":"2026-08-01T03:20:33.355537Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.355537Z"},"links":{"cited_paper":"/paper/2412.13663","citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:4fb27b62bcbf1b60c15cb44bcb66bc80cb51ad468623cd05b50ad9e9267609a2","observation_id":"d0809277-be22-4ef5-be6f-f4cf9e51f2e1","resolution":{"observed_at":"2026-08-01T03:20:33.355537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.358850Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.358850Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:d793795b73a31a05ec13350c7fde909953a68d4866ac35bc99383b77c03289ce","observation_id":"8555bf34-2dad-45ed-94c1-a52308b01054","resolution":{"observed_at":"2026-08-01T03:20:33.358850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.361543Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.361543Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:96382e1309fa9fa9ce096fbfa2fc7801561ef3de52449059a0b34087a3dd812e","observation_id":"27ba6ca5-5706-4395-a577-2e37f64db712","resolution":{"observed_at":"2026-08-01T03:20:33.361543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.318611Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":731,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.318611Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:260e4dae7e7bbb9077c6581e7bf7a34cf80b5e9d9ace638dcbf74c1be4c4ee14","observation_id":"a8ae66f7-9725-477a-bb6e-1ab01a9cfa22","resolution":{"observed_at":"2026-08-01T03:20:33.318611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21437/interspeech.2018-2124","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.21437/Interspeech.2018-2124","venue":null,"work_id":"a3225a35-a6bb-429f-ba75-8f774ebec0b0","year":2018},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.338489Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:a9cd8884281a8caf78c12a2e3b5a92b5cc88c752954ea81802de12e5519fb615","observation_id":"3653ca7a-eec0-4757-9a06-4ddc581ec042","resolution":{"observed_at":"2026-08-01T03:24:18.456519Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04868","last_updated":"2024-01-10T01:09:55Z","snapshot_observed_at":"2026-07-06T17:13:29.467366Z","submitted_at":"2024-01-10T01:09:55Z","title":"Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04868","snapshot_observed_at":"2026-08-01T03:20:33.301440Z","title":"Accepted to the 14th In- ternational Workshop on Spoken Dialogue Systems Technology (IWSDS 2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.301440Z"},"links":{"cited_paper":"/paper/2401.04868","citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:c2e67fcab3e62a0b6f9142ac8d61f6d250e260239532a20cf9d9ecb99b1cbda1","observation_id":"ca243fa6-68b9-4842-9149-1aeba31b3bf6","resolution":{"observed_at":"2026-08-01T03:20:33.301440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:20:33.326848Z","title":"InINTERSPEECH","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T03:20:33.326848Z"},"links":{"citing_paper":"/paper/2607.23204"},"observation_digest":"sha256:59a76e07d4cf159f11666a6464db0ba26fb9956b13309600e3d97505c4f813f3","observation_id":"0ad5a482-1387-495b-acba-6e0be905c453","resolution":{"observed_at":"2026-08-01T03:20:33.326848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.23204","last_updated":"2026-07-25T13:54:50Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-06T17:24:46.971971Z","submitted_at":"2026-07-25T13:54:50Z","title":"Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":31},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.23204."}