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Paper Citation Record · LEDGER

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.15959.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.15959 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:09:42.328886Z

measured 0 of 1 external citation measurements

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 2664d398-09e2-48ee-8708-96857ee15b55 · inbound

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment cites this paper.

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T21:09:42.328886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:09:42.328886Z digest=sha256:da58a72c107c87beb06c43a388a83ca45189455b63f7e476132fe54fb87b0c9f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T19:40:21.505094Z digest=sha256:3948469ff7bd3731c6ae6331bbff6e4fd65969d7b234c72a4d4be20ee729f156

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.

source=pdf_text observed=2026-08-07T19:41:10.884999Z digest=sha256:6886a30a79315d509cecc9504ba2f44532090a58729d07f957ab04b5e1b24ea7