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Paper Citation Record · LEDGER

ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.06025.

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

pith.paper-citation-record.v1
2311.06025 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:28:07.929897Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T11:17:08.289212Z

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 3f7610a3-606e-4da1-a98f-aa739951b492 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.295160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:f4c44362c66030a2ab590ef5b3ea767347436ea948a61bec29ac32b87dbdccff

Observation 831e9d55-a785-4ca9-978a-99fb00bffa3c · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 234

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:31:11.711902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:9d10e49519989d72d807b9eea3e4a5883bdd1c2f22ced8dc538fd438e54aec91

Observation 266c0143-f77d-433f-b45e-ec686ee237f8 · inbound

CareBot: A Pioneering Full-Process Open-Source Medical Language Model cites this paper.

CareBot: A Pioneering Full-Process Open-Source Medical Language Model ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T17:28:07.929897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:28:07.929897Z digest=sha256:27db90d24e90b5edd417e3eaf6746111d3708992f092e4296ed1a5c901eeabe6

Observation ef7a7b2b-55bd-437f-881a-d19cb8b48ede · inbound

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models cites this paper.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T04:22:52.057307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:22:52.057307Z digest=sha256:a113bffcb38d91368c64c15276ebc304f49ecccd87070308ede22587b7ba3107

Observation 9a60c292-1a49-4008-9d9b-40e3c2ca9d6a · inbound

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators cites this paper.

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:00.335442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:03:00.335442Z digest=sha256:f0f946de9d7b0805a8f77448b2b81639dfb55ec6cf7733e88bbb992e5173a624

Observation df8c41f9-6935-45d3-9d7b-53093542f11b · inbound

Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models cites this paper.

Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T15:06:51.905829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:06:51.905829Z digest=sha256:a87c079856323d2c6cff338289a4492027ca06189e21251702062f73251f671d