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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.397357Z digest=sha256:b31bbd9ba0cf3516278b9c2c4d9c8a9465b1478c5d3248b361b00008977e9c52

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.402142Z digest=sha256:2b60d1fbab49100bb32a41b116d9bc2ac5eb644cbf9a3f5309a476468043bdf2

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.

source=pdf_text observed=2026-08-12T14:16:47.407167Z digest=sha256:63a37b11ee43c55b5e5ea51f304776003638bd0513c0032ecd6ee94b8ad5bb8a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:16:47.412878Z digest=sha256:3336296d91d0f291465cd07ab0efd50a6c25e8d09c0a3215e97278300375ddf7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:16:47.417648Z digest=sha256:36433032aaf6bc47cfce8d91151292b6f1eb73164e61b9c026a89754c4dceb61

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:16:47.421550Z digest=sha256:436bc59588c4f8dd885c3d61a2fdbf367f861e82e4af920b45c849fe63368adc

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.

source=pdf_text observed=2026-08-12T14:16:47.425552Z digest=sha256:11623af0c5b0c53d501b0c1bca6a8a5aa66f87e52a5a1d111edd3c864b54d0c8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.429386Z digest=sha256:de5f128b7ca0de93c89a6437af0a06d78518a117aedf87b6bd53c03772d3b1cd

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.433131Z digest=sha256:82dc261e4b204a2db57f4a3e52b6afb1e27c5694323df3329c1c507f49c5fee6

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.

source=pdf_text observed=2026-08-12T14:16:47.437862Z digest=sha256:a87c6f7b214c4d29a0617538ba84bc181bb98b73f81d61973661397df09020a6

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.

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.445663Z digest=sha256:0533f77f828359d44df685dfe3fa36d590bc32d2d6929539faaea3333fdc0c36

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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.

source=pdf_text observed=2026-08-12T14:16:47.453666Z digest=sha256:7a3929afe293cc3d5bf8f5dacfb5a10372e30baa2d9bc49ba43e2190e49fd5a6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:16:47.457246Z digest=sha256:6733f9b2b0b8e3801d667144b6cd99777de40346d2a9ae40f4faaf86440178fb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:16:47.462291Z digest=sha256:4deb752081037a2b5eddce711e6c878c0d2ed0d16b9dd3d044f07c631d96eaff

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.

source=pdf_text observed=2026-08-12T14:16:47.466789Z digest=sha256:b230b5451dc0d55c3c18083af77b72c9232b485981274619188730a0e3588d54

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.

source=pdf_text observed=2026-08-12T14:16:47.471174Z digest=sha256:a14c7d717c469ef7f2317e96c888e447adb35a8d68395e255a9efdf1194a3735

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.474747Z digest=sha256:36f1e4d9061a245913b93f7cee2803994b1cedafd1d5dc36de32b918d2f0159e

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:16:47.478301Z digest=sha256:5c2ab8abb7bedfe5f3b294cd459d8033b95d90f57b428a5ca7aa4e883764e143

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:16:47.481863Z digest=sha256:5728ae5b63aacca08da8177b3f3ae318c429ba30b04695601425fa8bbec8855a

Pith citing papers

No inbound Pith citation observations are available.