Paper Citation Record · LEDGER

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.04877.

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

pith.paper-citation-record.v1
2507.04877 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:42:13.694341Z

measured 29 of 29 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:52:23.330736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.540672Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy10
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 884ea2ca-4e50-45dc-b6f3-8e2f0988cda2 · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901 (2020).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Advances in neural information processing systems 33, 1877–1901 (2020)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.634925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35224f5-1d3b-4442-bcd5-0fa10687e068 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.637775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dfc3e2c-b9ec-4e62-9dd8-492e80c35ebe · outbound

This paper cites Ieee Network 33(5), 156–165 (2019).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Ieee Network 33(5), 156–165 (2019)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.941646Z

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.

Observation cafdc2d2-763a-4c02-8b40-d247280c691a · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine HuatuoGPT, towards Taming Language Model to Be a Doctor

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.643104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b475ed0b-78ed-4797-a915-c227648b426a · outbound

This paper cites BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.645718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd46755-4fa9-45c0-9531-b45987c1d32a · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.935342Z

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.

Observation 01401feb-b9a4-4204-9caf-6311217b54f5 · outbound

This paper cites MedChatZH: a Better Medical Adviser Learns from Better Instructions.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine MedChatZH: a Better Medical Adviser Learns from Better Instructions

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:42:13.844557Z

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.

Observation 56ba95be-5b37-4817-b26a-3ac07ffdc023 · outbound

This paper cites GitHub (2023).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine GitHub (2023)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.928801Z

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.

Observation f197697a-e4cf-4311-b616-36dee71ed310 · outbound

This paper cites Qibo: A Large Language Model for Traditional Chinese Medicine.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Qibo: A Large Language Model for Traditional Chinese Medicine

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.654936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e70818d-6981-4d13-94d9-233f6e7e8a8a · outbound

This paper cites Computer Methods and Programs in Biomedicine Update 6, 100158 (2024).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Computer Methods and Programs in Biomedicine Update 6, 100158 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.922779Z

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.

Observation 698f89eb-2ef0-48a9-b033-d86d135d8815 · outbound

This paper cites Journal of Chinese Information Processing 33(10), 1–9 (2019).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Journal of Chinese Information Processing 33(10), 1–9 (2019)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.916346Z

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.

Observation b0b8271d-cbf7-4865-8b5f-444ddbacca36 · outbound

This paper cites an unresolved cited work.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:42:13.910129Z

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.

Observation 8449da99-4110-4fcc-b6dc-d44278bae3e6 · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.662936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b05578-1ea6-4cb3-85f6-60add3e36a80 · outbound

This paper cites GPT-4 Technical Report.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine GPT-4 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.665133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 793b43dd-dae2-44c7-a2eb-6284266bda46 · outbound

This paper cites arXiv preprint arXiv:2409.18486 (2024).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine arXiv preprint arXiv:2409.18486 (2024)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.667131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77ef8f17-89f7-45c4-bff7-306027e55cae · outbound

This paper cites DeepSeek-V3 Technical Report.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine DeepSeek-V3 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.668939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d1d0ee-23a2-4fa8-bfd6-9df0d3b35760 · outbound

This paper cites an unresolved cited work.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:42:13.903839Z

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.

Observation a374978f-5a0f-4b02-b3f6-832041adb1c6 · outbound

This paper cites SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.672819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0979254d-f44f-4862-916c-33736117267d · outbound

This paper cites Computers in biology and medicine 172, 108290 (2024).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Computers in biology and medicine 172, 108290 (2024)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.896822Z

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.

Observation 3b783e54-aa78-4b4a-9d48-0d68789845a9 · outbound

This paper cites Journal of the American Medical Informatics Association 31(9), 2019–2029 (2024).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Journal of the American Medical Informatics Association 31(9), 2019–2029 (2024)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.890358Z

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.

Observation c09045b1-f71d-41e7-bbd6-cd69956be85a · outbound

This paper cites Journal of Evidence-Based Medicine 18(1), 12658 (2025).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Journal of Evidence-Based Medicine 18(1), 12658 (2025)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.883351Z

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.

Observation 40ca1d8a-cb81-4aaa-b1c4-a293d38ffa68 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.681185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bf95fa-131f-4db4-a612-83188df5d8ef · outbound

This paper cites ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.683249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c70908-1804-4ec9-bdfc-cafc3806474a · outbound

This paper cites Nature Medicine, 1–8 (2025).

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Nature Medicine, 1–8 (2025)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.877008Z

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.

Observation 0303b2e9-4db7-4cb3-906d-9d3db3a922b2 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.687316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e453a839-f2ef-47f4-86c6-176b4a92ed67 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.689241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 275e4c95-60b2-4218-981b-3b23b35b6a93 · outbound

This paper cites Qwen2.5 Technical Report.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine Qwen2.5 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:13.691813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f64ef0-115e-470b-8c21-08ce187e2f4c · outbound

This paper cites In: Proceedings of the 37th International Con- ference on Neural Information Processing Systems.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine In: Proceedings of the 37th International Con- ference on Neural Information Processing Systems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:13.870524Z

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.

Pith citing papers

Observation 849f1ebf-63aa-41a4-8f95-888c08d12ac4 · inbound

SteerVTE: Seamless Video Text Editing with Style and Glyph Control cites this paper.

SteerVTE: Seamless Video Text Editing with Style and Glyph Control DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.542349Z

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.