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Paper Citation Record · LEDGER

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.14151.

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

pith.paper-citation-record.v1
2310.14151 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:36:27.863042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:31:11.732535Z

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 36ae2fa8-377a-4e66-8be2-1eafbaa7c026 · inbound

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

A Survey on Knowledge Distillation of Large Language Models PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 241

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:31:11.734935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:3b55ae7c7f61e3b9f351dafb1c1b70d62ecab24a874376979501597073430d9a

Observation 553befeb-911c-45de-99ca-03c5e16e1e82 · inbound

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision cites this paper.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T17:36:27.863042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:36:27.863042Z digest=sha256:ddad87a709684970a4c622ef96f705740257ed56ab2001b3894c4d1f0784e48e

Observation e385df52-a283-466a-9b26-c3cf39c785f3 · inbound

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment cites this paper.

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-09T16:56:09.784878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:56:09.784878Z digest=sha256:841e4a580f22140a200e7e2105062843b860596cc01ef8282317138901af23f7

Observation b683fd92-c55e-403a-a4cc-e76ac27d07e4 · inbound

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation cites this paper.

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 9250

Resolution
unresolved
no resolver link, observed 2026-08-07T10:53:49.168998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:49.168998Z digest=sha256:cf861343a3b49245b7d90d977fa6ed5fd76e3d9321814fc9740706183d2f2ebb

Observation 8bd20b2a-c376-4903-b991-236f296a4981 · inbound

MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports cites this paper.

MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:45:40.908506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:10:43.434573Z digest=sha256:550648b08f96fb030e0694e983a773582790bf610b32d13ea06df43474353fef

Observation 78f13d40-3fb1-44e8-ad93-596677f701aa · inbound

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-13T05:07:42.040673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:07:42.040673Z digest=sha256:06031a5d9f89d0c92b9100be60caf16257c548bc06ceb70db2be6c139bf7a826

Observation c0434527-5519-4fc2-b6b4-94de581d78a6 · inbound

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T07:43:27.511156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:43:27.511156Z digest=sha256:11c6a728f2937afde096ca86a03d6805024c7acb82914cfbd6e25fcfdbebb90b