Paper Citation Record · LEDGER

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2308.14346.

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

pith.paper-citation-record.v1
2308.14346 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:54:21.051154Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 89b2cae9-b32f-41d9-965c-cd81ada8509f · inbound

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

A Survey on Knowledge Distillation of Large Language Models DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 238

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:31:11.723780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ac184bf-19a5-49d6-b18f-e68a0ac37183 · inbound

InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models cites this paper.

InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:54:21.051154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cce63d6-7b9d-4f30-976f-d89740049fc5 · inbound

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine cites this paper.

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:53.701934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd343b5-57f6-461c-bc0e-4a08a4c778c2 · inbound

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment cites this paper.

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:20:47.220585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d271faae-43e3-4fb7-a5ee-a885dfcae0fc · inbound

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment cites this paper.

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T12:40:40.703960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad350024-e5a4-4392-a580-7797df88c594 · inbound

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice cites this paper.

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:41:00.832567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6cb3dc4f-519b-4ab6-82fc-1d175b687022 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:56:11.513381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a70dba8e-9b4e-4cf8-846e-e1c16f40933c · inbound

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training cites this paper.

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:42:08.369596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b00a1ee9-7565-471c-851c-9296a5efd73d · inbound

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training cites this paper.

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:45:26.350485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 59238039-a200-4046-8b3b-292b091013a8 · inbound

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training cites this paper.

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-06-30T01:34:09.595321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b736d75-f992-4a66-8322-2f27fc0de5b5 · inbound

Gaokerena: A Small Persian Medical Language Model Family cites this paper.

Gaokerena: A Small Persian Medical Language Model Family DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:14.158089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.