Paper Citation Record · LEDGER

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.13984.

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

pith.paper-citation-record.v1
2501.13984 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:13:32.785392Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

45 of 45 outbound references displayed

verified exact5
verified fuzzy33
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b65fcbc-7d00-4cc7-980b-25e79d5933ce · outbound

This paper cites Treatment by cancer type,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Treatment by cancer type,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.594402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9b7b35e-a2ec-4c92-83d6-4bff49e1360a · outbound

This paper cites Guidelines, tools, & resources,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Guidelines, tools, & resources,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.495729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 041f409a-28f9-4863-a7ba-904e9d96169c · outbound

This paper cites 4, 2024).

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs 4, 2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.480883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6dc74e4d-de9e-4342-a807-2cabd095a37f · outbound

This paper cites AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:13:33.768803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 524c4b07-37cd-4bf1-a49a-3d8a1dd551ba · outbound

This paper cites Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.466182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da3d0075-7512-47d6-86ee-db9e0132bdcb · outbound

This paper cites GDSI: a Web-based decision support system to facilitate the efficient and effective use of clinical practice guidelines,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs GDSI: a Web-based decision support system to facilitate the efficient and effective use of clinical practice guidelines,

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-10T16:13:33.622651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5c1ce8aa-2c20-4788-ac86-bd05881b2321 · outbound

This paper cites A knowledge-based approach to assign breast cancer treatments in oncology units,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs A knowledge-based approach to assign breast cancer treatments in oncology units,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.355344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af5d286c-0146-4f9d-aa88-5f908a2ef9d8 · outbound

This paper cites Design and Implementation of Medical Process Visualization CDSS Oriented to NCCN Guidelines,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Design and Implementation of Medical Process Visualization CDSS Oriented to NCCN Guidelines,

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T16:13:33.495634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 406552af-2bfd-41cb-9cea-90c13efee48d · outbound

This paper cites Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.264571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1a9baab-974e-4e7a-97a8-c58220f79c92 · outbound

This paper cites Ontology Based Modeling and Execution of Nursing Care Plans and Practice Guidelines,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Ontology Based Modeling and Execution of Nursing Care Plans and Practice Guidelines,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.236844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 059ca03b-ceda-4a41-a719-1d52e9c244cd · outbound

This paper cites An overview of clinical decision support systems: benefits, risks, and strategies for success,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs An overview of clinical decision support systems: benefits, risks, and strategies for success,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.206770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2406ff3b-ace2-4418-9610-3eb2a17b7503 · outbound

This paper cites Some Unintended Consequences of Clinical Decision Support Systems,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Some Unintended Consequences of Clinical Decision Support Systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.167939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e96d154-fe4c-4a0a-85ad-81a0288acf01 · outbound

This paper cites Rule-based clinical decision support system using the openehr standard,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Rule-based clinical decision support system using the openehr standard,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.069756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 06f0c578-868a-4b0f-9626-5b8bf1b8e524 · outbound

This paper cites Automated Knowledge Modeling for Cancer Clinical Practice Guidelines,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Automated Knowledge Modeling for Cancer Clinical Practice Guidelines,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-10T16:13:33.309853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9631707b-7d7e-4bb5-be12-e937a6ff2538 · outbound

This paper cites Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:13:33.166476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22260f98-849c-4cff-ab09-c22a2f9efe33 · outbound

This paper cites A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.657003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c85026b2-1ff4-4331-9c26-d6b1d6c2aaa6 · outbound

This paper cites GPT-3.5, GPT-4, or BARD? Evaluating LLMs reasoning ability in zero-shot setting and performance boosting through prompts,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs GPT-3.5, GPT-4, or BARD? Evaluating LLMs reasoning ability in zero-shot setting and performance boosting through prompts,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.052933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3fc4e97b-f7e2-4051-99a7-39c792631070 · outbound

This paper cites Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:35.021502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8cc0f9aa-4c05-4d57-9679-658e36069421 · outbound

This paper cites LLM Based Generation of Item-Description for Recommendation System,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs LLM Based Generation of Item-Description for Recommendation System,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.805362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62a02ee-53b7-474e-a50e-60f9f76cd0fa · outbound

This paper cites A Survey of Large Language Models.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs A Survey of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.871508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cabd35b-fe43-44f6-a8a9-e217ae667586 · outbound

This paper cites Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text- Annotation Tasks,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text- Annotation Tasks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.946884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29252ca1-e8a3-451b-b0ad-34a46d007d2a · outbound

This paper cites Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.884659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55d4c35-a71a-4b77-94dc-8cdfe5216306 · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Large Language Models for Data Annotation and Synthesis: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.892656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30d3156-ff66-4194-b821-9b05552d20da · outbound

This paper cites Multi-perspective improvement of knowledge graph completion with large language models,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Multi-perspective improvement of knowledge graph completion with large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.869063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a8e08736-c50f-44c0-b152-6e4ce6eeee52 · outbound

This paper cites Language Models are Few-Shot Learners.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Language Models are Few-Shot Learners

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.971205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8bddfe-e430-458a-af77-e79bdea510c7 · outbound

This paper cites Few- shot adaptation works with UnpredicTable data,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Few- shot adaptation works with UnpredicTable data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.853924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e8f1e76-b878-4af1-84f0-35d7efa3b435 · outbound

This paper cites Assessing the research landscape and clinical utility of large language models: a scoping review,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Assessing the research landscape and clinical utility of large language models: a scoping review,

Reference 27

Resolution: verified exact; doi, observed 2026-08-10T16:13:32.888606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1348412f-2848-4bce-a270-9b67356c70a7 · outbound

This paper cites Uncertainty-Aware Text- to-Program for Question Answering on Structured Electronic Health Records,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Uncertainty-Aware Text- to-Program for Question Answering on Structured Electronic Health Records,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.839167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 962f8e48-707e-4623-9079-822b4293d900 · outbound

This paper cites Guidelines detail - non-small cell lung cancer,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Guidelines detail - non-small cell lung cancer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.823700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f1cecc5-7d57-4599-b520-ae9a981d26e0 · outbound

This paper cites Snomed ct,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Snomed ct,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.808862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0efa0b82-1033-4269-84b5-fc1f17cfca14 · outbound

This paper cites NCI thesaurus,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs NCI thesaurus,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.792835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4bca7847-6b94-4776-8145-2bfda33697d1 · outbound

This paper cites MeSH - NCBI,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs MeSH - NCBI,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.702014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b050cff3-fc7d-4fa4-9f43-530f50e181e2 · outbound

This paper cites The unified medical language system (umls): integrating biomedical terminology,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs The unified medical language system (umls): integrating biomedical terminology,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.638377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48e50d47-b453-4ada-813d-6e1f2c6ccb24 · outbound

This paper cites Classification, Ontology, and Precision Medicine,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Classification, Ontology, and Precision Medicine,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.513258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 713d6a48-c0d7-4403-b03d-214d910bbd20 · outbound

This paper cites Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.495747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b834ba5-26a5-4218-81b4-b05b20028253 · outbound

This paper cites Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.470120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e4aa2a8-8c21-4992-98b0-e8060e7a5908 · outbound

This paper cites Modeling of Clinical Practice Guidelines for an Interactive Decision Support Using Ontologies,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Modeling of Clinical Practice Guidelines for an Interactive Decision Support Using Ontologies,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.391422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2aa9b707-18d9-485c-8444-2149d0690a50 · outbound

This paper cites Hl7 fhir: An agile and restful approach to healthcare information exchange,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Hl7 fhir: An agile and restful approach to healthcare information exchange,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.315705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27625e2a-a65a-41a7-837e-f71d97efa80f · outbound

This paper cites Neo4j cypher® manual,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Neo4j cypher® manual,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.296998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c79ab4b2-3d54-4269-8da7-88fd4a046466 · outbound

This paper cites Query a neo4j database using cypher,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Query a neo4j database using cypher,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.216548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d72cdd9-824a-4bdb-8b16-feec4dec8d07 · outbound

This paper cites ChatGPT - open a I gpt 3.5,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs ChatGPT - open a I gpt 3.5,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.086748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a5744f0e-637f-4b52-8e6e-fb51cd93da90 · outbound

This paper cites Neo4j graph database & analytics,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Neo4j graph database & analytics,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.019366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e874f224-f763-42a0-ab14-893c7948ccef · outbound

This paper cites Text2Cypher - natural language queries,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Text2Cypher - natural language queries,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:34.003703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f515e5c2-d4d0-4e73-bde0-109fd1ec6a64 · outbound

This paper cites NeoDash - Dashboard Builder for Neo4j,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs NeoDash - Dashboard Builder for Neo4j,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:33.914224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cbab516-0442-4aed-a236-b7b180dec915 · outbound

This paper cites FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering,.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:13:33.808855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.