{"as_of":"2026-08-18T22:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2ce85ba5e558dc4b062047cb10ddf4f2b1d4ec57df0d92c63f44d06d0aeca69e","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T18:42:03.207082Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2607.17230/citation-record","integrity":"/paper/2607.17230/integrity","json":"/paper/2607.17230/citation-record.json","paper":"/paper/2607.17230"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T18:42:01.611252Z","title":"BeTraC: Beyond Transcription Challenge,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:01.611252Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:9a61bca13b971032f4fb640690fb26966ac6f09c810a9c81c6958638ecaf62e1","observation_id":"038639c6-6ce5-427f-93a8-184a156840d6","resolution":{"observed_at":"2026-08-01T18:42:01.611252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13264","last_updated":"2025-07-17T16:17:37Z","snapshot_observed_at":"2026-08-13T21:23:10.892449Z","submitted_at":"2025-07-17T16:17:37Z","title":"Voxtral","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.13264","snapshot_observed_at":"2026-08-01T18:42:01.682549Z","title":"V oxtral,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:01.682549Z"},"links":{"cited_paper":"/paper/2507.13264","citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:4dd78043e7f155c1c0ffc9c104cd1503b437ddf6ce382280fbdeb7334d898789","observation_id":"8e8acb12-a731-4957-b1d3-2163a6c723c3","resolution":{"observed_at":"2026-08-01T18:42:01.682549Z","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":"2026-08-01T18:42:01.836637Z","title":"Generating synthetic doctor-patient conversations for long-form audio summarization,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:01.836637Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:bd2a627ce7cde1c921529d905f9c9c022961fae0a56e5b1295642e6619d555ec","observation_id":"e77fdc41-7d40-45f3-85f6-ddd7cfc2b247","resolution":{"observed_at":"2026-08-01T18:42:01.836637Z","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":"2026-08-01T18:42:01.993233Z","title":"BeTraC 2026 — evaluation metrics,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:01.993233Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:d9dc3b76a203384270d5b423aced26eebc1869e71b3cf4571a98e68f9dfc20ff","observation_id":"f63e1464-3c33-4a64-8c0b-faaccf0d68f2","resolution":{"observed_at":"2026-08-01T18:42:01.993233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20215","last_updated":"2025-03-26T04:17:55Z","snapshot_observed_at":"2026-08-06T08:46:20.194739Z","submitted_at":"2025-03-26T04:17:55Z","title":"Qwen2.5-Omni Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20215","snapshot_observed_at":"2026-08-01T18:42:02.154906Z","title":"Qwen2.5-Omni technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:02.154906Z"},"links":{"cited_paper":"/paper/2503.20215","citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:b2296c2a41a512313bb0e82de53b970bd6d28aa630950562181843c8e4eef631","observation_id":"f7480671-487b-4b67-b717-0b50aec758b8","resolution":{"observed_at":"2026-08-01T18:42:02.154906Z","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":"2026-08-01T18:42:02.309748Z","title":"MOSS-Audio technical report,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:02.309748Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:d417906e8b92fe46ddcccfd5f8ef89ad7b649431ecebf8b3ef4a33ffcf4b00cb","observation_id":"3482ab12-43e2-4b00-a5a7-8743252b722e","resolution":{"observed_at":"2026-08-01T18:42:02.309748Z","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":"2026-08-01T18:42:02.426535Z","title":"SWIFT: A scalable lightweight infrastructure for fine-tuning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:02.426535Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:005154b7e2d5bb9d48be1410bb253dcdad221bc2aec86832a7718d4397d859c1","observation_id":"e2c28835-24d6-4c96-9d2d-8b2d5b8f96b6","resolution":{"observed_at":"2026-08-01T18:42:02.426535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-01T18:42:02.592572Z","title":"DeepSeekMath: Pushing the limits of mathematical reasoning in open language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:02.592572Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:428939c3f2e537b5903e1a68e36daa35c790822e8fe825bc85d82117bee5061b","observation_id":"6d10158a-a0f8-471a-88b0-2610cabc4210","resolution":{"observed_at":"2026-08-01T18:42:02.592572Z","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":"2026-08-01T18:42:02.738732Z","title":"DAPO: An open- source llm reinforcement learning system at scale,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:02.738732Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:10f59e981bfe912b45f0ad26698b314cd2b18c012226d4fd409adfbcf07ace8d","observation_id":"6226ba04-3973-48f8-a098-3eddafbcdab1","resolution":{"observed_at":"2026-08-01T18:42:02.738732Z","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":"2026-08-01T18:42:02.928442Z","title":"Omni-R1: Do you really need audio to fine-tune your audio llm?,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:02.928442Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:c51dd1c0e3d53635e483455d2836a947bf5e346779ba2c0703b5c94d6b8c3376","observation_id":"2eec8da6-c8a2-486f-ae73-60def7df968c","resolution":{"observed_at":"2026-08-01T18:42:02.928442Z","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":"2026-08-01T18:42:03.062463Z","title":"Exploring fine-tuning of large audio language models for spoken language understanding under limited speech data,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:03.062463Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:74ffea3d2a36cf0fd3fcb5811d3033c084cc57e3cc7cb2dbc34c911c1823fbae","observation_id":"e135eabb-8500-416a-9c5b-7cf0fd5e2d0a","resolution":{"observed_at":"2026-08-01T18:42:03.062463Z","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":"2026-08-01T18:42:03.207082Z","title":"A dataset of simulated patient-physician medical interviews with a focus on respiratory cases,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T18:42:03.207082Z"},"links":{"citing_paper":"/paper/2607.17230"},"observation_digest":"sha256:77e11ce371f21917cce0ea726f3f56d55e7ef485ffd8842712c33458174d7f46","observation_id":"a1e7e90e-7116-41f4-9c61-d85685406259","resolution":{"observed_at":"2026-08-01T18:42:03.207082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.17230","last_updated":"2026-07-19T12:49:35Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T06:08:37.604856Z","submitted_at":"2026-07-19T12:49:35Z","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":12},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.17230."}