Paper Citation Record · LEDGER

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.15491.

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

pith.paper-citation-record.v1
2411.15491 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:16:47.481863Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy6
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b4475a4-523f-44f8-96f6-d1a6c96a5d10 · outbound

This paper cites [Online], https://www.popsci.com/article/ technology/how-will-drones-change-sports/.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG [Online], https://www.popsci.com/article/ technology/how-will-drones-change-sports/

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:16:47.753133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5f2eb73-7713-4fd3-be77-bf52400222f4 · outbound

This paper cites [Online], https:// zilliz.com/blog/hybrid-search-with-milvus.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG [Online], https:// zilliz.com/blog/hybrid-search-with-milvus

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:16:47.742751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42843a47-5ae4-4f31-b49e-af67b4621099 · outbound

This paper cites [Online], https://medium.com/@csakash03/ hybrid-search-is-a-method-to-optimize-rag-implementation-98d9d0911341.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG [Online], https://medium.com/@csakash03/ hybrid-search-is-a-method-to-optimize-rag-implementation-98d9d0911341

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:16:47.732704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc9b9737-2fcb-4270-85f3-f079faa7112e · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.407167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7f2ff9e-2c9f-497f-9638-4b64d1f56d64 · outbound

This paper cites LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.412878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748b657a-47aa-4cdd-9664-9e7d1daa9e8a · outbound

This paper cites Qwen2.5-Coder Technical Report.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Qwen2.5-Coder Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.417648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f886f849-6a3e-49da-9031-31823f562b8b · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.421550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce768dd1-282a-42f1-9a0d-0f2d7df9bafb · outbound

This paper cites Pharmacological Research 178, 106185 (2022).

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Pharmacological Research 178, 106185 (2022)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.425552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc5bcc9-993f-4270-a23a-62e87e1d83da · outbound

This paper cites Bulletin of the Medical Library Association 78, 271–82 (Jul 1990).

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Bulletin of the Medical Library Association 78, 271–82 (Jul 1990)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:16:47.722121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d871008e-b0bb-4a28-8630-6cfc67905c28 · outbound

This paper cites TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T14:16:47.586881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8cb35a3e-5084-4b93-91a8-5097cb52068c · outbound

This paper cites HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.437862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa0f16f-a1e5-4772-9ce9-fb9badca4872 · outbound

This paper cites ERNIE: Enhanced Representation through Knowledge Integration.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG ERNIE: Enhanced Representation through Knowledge Integration

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.441399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60207486-10a3-44dc-b71a-a610b797d805 · outbound

This paper cites In: Journées 2022 de la Société Française d’Astronomie & d’Astrophysique (3 2023).

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG In: Journées 2022 de la Société Française d’Astronomie & d’Astrophysique (3 2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:16:47.710592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04f75de8-ce5a-4bdd-b28b-5c7587045b9a · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.449928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b962dbf4-fe1a-48a8-bf96-7bc2d428015b · outbound

This paper cites Toward General Design Principles for Generative AI Applications.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Toward General Design Principles for Generative AI Applications

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.453666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54c449fe-cdfa-4032-a814-761844907279 · outbound

This paper cites Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.457246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ce4ef9-0dd2-41f4-b9fa-b053e3424683 · outbound

This paper cites TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.462291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51985dd9-8a76-44fb-b695-67a5930b54f6 · outbound

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

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Qibo: A Large Language Model for Traditional Chinese Medicine

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.466789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89219c4b-8b65-4a2f-8953-a11a1f0bed47 · outbound

This paper cites BioMed Research International 2022, 1–7 (01 2022).

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG BioMed Research International 2022, 1–7 (01 2022)

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-12T14:16:47.471174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d7ceaff-6b9d-42af-b62c-ae12c796dda3 · outbound

This paper cites Evidence-based complementary and alternative medicine : eCAM2022, 1679589 (2022).

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Evidence-based complementary and alternative medicine : eCAM2022, 1679589 (2022)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:16:47.700038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84ada85d-ad4e-4e86-a2df-2b0a2dcd7962 · outbound

This paper cites Journal of Physics: Conference Series 1302, 022010 (08 2019).https://doi.org/10.1088/1742-6596/1302/2/022010.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG Journal of Physics: Conference Series 1302, 022010 (08 2019).https://doi.org/10.1088/1742-6596/1302/2/022010

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T14:16:47.510126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f7fbacf-c1e5-43c3-9ba7-b3d57223c819 · outbound

This paper cites mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.481863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.