Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.15959.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:10.884999Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T19:41:48.300872Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c950901b-5a29-403d-8792-2c6739d1bdfa · inbound
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care cites this paper.
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:41:48.303020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 584761d4-9600-415c-ae6a-78f1691bc6f6 · inbound
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:41:10.884999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.