{"as_of":"2026-08-22T15:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:16668873d1d88d4b2681ecaf0992d309b61d79fffec4e0e9e1f413ac44ff607f","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T17:43:49.122142Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T17:43:49.122142Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-06-29T17:53:47.664885Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"cited_work":{"arxiv_id":"2605.26747","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.26747","snapshot_observed_at":"2026-06-29T17:53:47.664885Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","venue":"cs.AI","work_id":"3e00aee1-e2bc-46e1-9d14-3193e55486a4","year":2026},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"cited_paper":"/paper/2605.26747","citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:d703f127b60de07001ee51091773fd4485862ef2e102b88924e614f933e862bb","observation_id":"dce5f281-3560-4760-b4ae-eeac866c6fcc","resolution":{"observed_at":"2026-06-29T17:53:47.666372Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2605.26747/citation-record","integrity":"/paper/2605.26747/integrity","json":"/paper/2605.26747/citation-record.json","paper":"/paper/2605.26747"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:49.122142Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:7610299bf215e2952a496859e25c6997205bced83fd9fb957badcce1a96fd05c","observation_id":"67efeee4-2c08-46fa-8492-2ca635f817bc","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"cited_work":{"arxiv_id":"2605.26747","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.26747","snapshot_observed_at":"2026-06-29T17:53:47.664885Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","venue":"cs.AI","work_id":"3e00aee1-e2bc-46e1-9d14-3193e55486a4","year":2026},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"cited_paper":"/paper/2605.26747","citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:d703f127b60de07001ee51091773fd4485862ef2e102b88924e614f933e862bb","observation_id":"dce5f281-3560-4760-b4ae-eeac866c6fcc","resolution":{"observed_at":"2026-06-29T17:53:47.666372Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-29T17:43:49.122142Z","title":"let’s move on","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:e5efbce9b4e8fa4774bf22f25a484788dfb88f9f8a59ff12795c9d14fba58379","observation_id":"beb96268-9e6e-4a59-918f-a8f6fae52490","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":null,"venue":null,"work_id":null,"year":1917},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:b36764e07ff934b6b01d0a6fd1085aafffa49a61a982aff10db1589a8f0d33fc","observation_id":"b629b340-d448-4768-b9e6-fd459ff3ddf5","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"We focus on making data available with reference transcriptions and la- bels, and leave data splits of training, validation, & test open","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:8fc2ea7ff6de75b53b735034f255390491449d2fe6de67a975c55c2406a6f8bd","observation_id":"dd5de50c-13a3-4b7f-b304-216017dc519a","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"The former included in-person and remote consultations, whereas the latter were carried out face-to-face","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:9f31f419fe353bdff0931b9737d2dd7c5dc97fdb9475831c3b94492249046f1c","observation_id":"0998d426-cfdc-4d81-8f64-0bfdb15e1277","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:4a699101e4c90f29edb9dc18954b8aacf55ea541d07bf2c6f1de5eaa91f2486b","observation_id":"bd1e7118-987f-40f0-8ef2-9eb2f0e32148","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"The NHS values,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:777268bda67a692bfea988191cebb8411d403432f279cfb2f450ece97576f108","observation_id":"cc1180d7-68fc-4ea2-a098-a02a53206ba4","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"A multimodal corpus of simulated consulta- tions between a patient and multiple healthcare profes- sionals,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:34d5f9611f9a16deaa9f20d9f4b8f68871a8615a72ca124b316a795d725523fd","observation_id":"21089147-7bdd-4ed4-8ec9-000438d98897","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"A dataset of simulated patient-physician medi- cal interviews with a focus on respiratory cases,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:d5d6706d42f172a8d5d722b3cf6d737bb2a303fbf374afb91484634525eb7613","observation_id":"742c6212-7dd3-4fd4-a71a-401a63f427e4","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Primock57: A dataset of primary care mock consultations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:0c6a33411a86456b1d35bed1ad5cd762b998e557d630f61b9b0175664950b397","observation_id":"d671d1c5-c8ca-446a-ad28-c00b94dbdaea","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"One in a million: a study of primary care consultations,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:5601409338ddd52b1607c5802a3e80d059e01adbf3f08baaa493b6bea38e8a0e","observation_id":"9efbea66-814b-47cc-9137-f1b8be16f6c1","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Medical dialogues audio dataset,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:79bb5f731a76e654bcfa129481653c222bf548eea040afbdc0e07b5ff7b13124","observation_id":"8feb1f48-bce6-401d-9e12-c27f2881b187","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Speech recognition for medical conver- sations,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:b633c7c76a0121fecdceac6f072d7cb5764ca21dd9779da5270d39ad9974d16e","observation_id":"6d8cc647-4cc4-4ba2-bc60-28fc9b805294","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07658","last_updated":"2024-02-12T14:01:12Z","snapshot_observed_at":"2026-08-16T14:19:20.741255Z","submitted_at":"2024-02-12T14:01:12Z","title":"The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models","version":1},"cited_work":{"arxiv_id":"2402.07658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.07658","snapshot_observed_at":"2026-06-29T17:53:47.659062Z","title":"The sound of healthcare: Improving medical transcription asr accuracy with large language models","venue":null,"work_id":"892b12e5-d35b-4b39-a994-0d92001fd96d","year":2024},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"cited_paper":"/paper/2402.07658","citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:5a10c8724ccfca74f05c98f6dde9bbb57d8f1946ec60d027c58a27389be9d550","observation_id":"c55e4b5e-f6ef-4397-ad12-c944eeb1ce3e","resolution":{"observed_at":"2026-06-29T17:53:47.660608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14074","last_updated":"2025-05-15T04:35:00Z","snapshot_observed_at":"2026-08-16T17:06:09.041790Z","submitted_at":"2024-09-21T09:05:48Z","title":"MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder","version":3},"cited_work":{"arxiv_id":"2409.14074","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.14074","snapshot_observed_at":"2026-06-29T17:53:47.661887Z","title":"MultiMed: Multilingual medical speech recogni- tion via attention encoder decoder,","venue":null,"work_id":"a3c3fa28-ff8b-4d6b-8867-91c3cfe6346c","year":2024},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"cited_paper":"/paper/2409.14074","citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:0ba026f220e2fc4d6b9e06fadc71eff062b260afdca7e88767fdde2f93380442","observation_id":"2caa67e1-5ba7-476e-aae0-f151b8480fd5","resolution":{"observed_at":"2026-06-29T17:53:47.663681Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-29T17:43:49.122142Z","title":"MIMIC-III, a freely accessible critical care database,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:423d7fbbf212140c77d7285861b7d2f4926aae80b68cc7897d37fd38d3b99ad5","observation_id":"d27d144d-26ee-4219-92f0-d317b1813f11","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"MIMIC-IV, a freely accessible electronic health record dataset,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:2d49ef7c6a34674dfe4456200f89d0132a5356df5ab1fa6fee9827bfd174dffe","observation_id":"ca8cb538-e6ea-41e2-a5da-38ccfe51a05c","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"MedINST: Meta dataset of biomedical instructions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:b2edd80b68ad3ee056993d4bb5ccde3e1c9a6f15fc9f92a6dbf5babf2281de41","observation_id":"d74d9ebe-cc6d-42a7-bbec-6a8c1afe28c8","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"A sur- vey of large language models in medicine: Progress, ap- plication, and challenge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:f83c0f8311aecc7ca4b8fcf9bbd6ad49325d3de5297977781d34f5e26831519f","observation_id":"702ec9ed-e27b-4b02-9cf6-9fbc693c94ba","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Large language mod- els for medicine: a survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:a5e846a3e6aab08d5ad786249f9becc1694322741e2bddf984df4f99a5eb5f33","observation_id":"0353f664-1714-4c13-bd90-4732f12f7a31","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"The AI doctor is in: A survey of task-oriented dialogue systems for health- care applications,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:b391c7515e4a42fd2d0c6b2e05eae0fee784993c57ab46f14213feef87d3838b","observation_id":"c6242976-47c1-4c6d-9c2a-fa9aebd0cfa1","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"A systematic review on healthcare artificial intelligent conversational agents for chronic conditions,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:5858ced8abab1b7824fc6a303b535c81cac6736d2ce8005134b68325f72cf666","observation_id":"d5959b42-3e8b-4985-bcbe-5b58bfcc8869","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"A survey of robots in health- care,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:128e143e3afdd9f4fcd31aa6c25707c061c822bff3f888280472abc06a745fe3","observation_id":"9173c254-b51f-4aa7-ad90-dec7753f16cf","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"The use and promise of conversational agents in digital health,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:445beed377e6382f00472a461c9d731855dcfc6b5dcea2e1121e5ff55a357447","observation_id":"378103ae-ef98-4269-984f-557aeea6126a","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"A mass- produced sociable humanoid robot: Pepper: The first machine of its kind,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:3c6e4850ae87c9e47ba63c98a6ba79daeac73faf587cf0916684fe357a53db3d","observation_id":"f9eaf540-15f7-43e5-8e4f-794ae442b8fd","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Woz4u: An open-source wizard-of-oz interface for easy, efficient and robust HRI experiments,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:6704cbc1e5d88357922b3eb0faff954b9e9892951ee350c5515a35824eb7129f","observation_id":"73636123-9eda-4238-9863-84063c794e12","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.06406","last_updated":"2017-10-17T17:34:31Z","snapshot_observed_at":"2026-08-14T20:22:49.594310Z","submitted_at":"2017-10-17T17:34:31Z","title":"Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue","version":1},"cited_work":{"arxiv_id":"1710.06406","doi":null,"metadata_source":"pith","pith_arxiv_id":"1710.06406","snapshot_observed_at":"2026-06-29T17:53:47.656248Z","title":"Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue","venue":"cs.CL","work_id":"c67c7aa4-2342-4ea8-8fe4-b55e2fb73d78","year":2017},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"cited_paper":"/paper/1710.06406","citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:4d19602088ba62f6208d708beeb88b6204bff80d6b4308e1e01073324f54ca23","observation_id":"11bc4941-370f-4718-a41e-03750a238f56","resolution":{"observed_at":"2026-06-29T17:53:47.657905Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-29T17:43:49.122142Z","title":"GPT5-mini,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:bd8b0dde663554cabdab00c08576dba6543fe3afa03058b2b21d796b42dfd95b","observation_id":"4e2f42b0-010e-4b77-8a5f-d9fde3807178","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"DeepSeek V3,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:4afe9617f24ef8df0da22b254e6f2046c4067812c2582f32b346ba7f66396aa5","observation_id":"ad956e2c-849c-4890-b6ca-09a3ea87bfc9","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Claude Sonnet 4,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:2d1831dc990c3362ab5b42c5cbdf02314ec3c63c005cfb2aae8722914d801ac7","observation_id":"302cc00c-843e-4ef2-83c5-6fbab730e25b","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"The over- lapping coefficient as a measure of agreement between probability distributions and point estimation of the overlap of two normal densities,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:e9e04917ef97769c7adf34e75f35b3d1d3993d0adb765f4c19bc44aa9138cfe7","observation_id":"47885c72-6be1-4b14-a32c-420a941c29d6","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","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":"2026-06-29T17:43:49.122142Z","title":"Predict- ing good probabilities with supervised learning,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-29T17:43:49.122142Z"},"links":{"citing_paper":"/paper/2605.26747"},"observation_digest":"sha256:9cda57b3cfd78ee56a49aeed1a5075213a7a0478e907e77fbfdeb628cbd14c32","observation_id":"c93bef0d-cecf-4fb3-abc6-b415ea15e0c1","resolution":{"observed_at":"2026-06-29T17:43:49.122142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.26747","last_updated":"2026-05-26T09:21:54Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-17T11:20:17.242233Z","submitted_at":"2026-05-26T09:21:54Z","title":"A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":33},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2605.26747."}