Paper Citation Record · LEDGER

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2502.15698.

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

pith.paper-citation-record.v1
2502.15698 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:09:29.504789Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T10:50:35.328631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:51:11.723680Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy21
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de707694-3621-445b-a866-7345b1d5916b · outbound

This paper cites Global Cancer Statistics 2024: GLOBOCAN Estimates of Incidence and Mor- tality Worldwide for 36 Cancers in 185 Countries.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Global Cancer Statistics 2024: GLOBOCAN Estimates of Incidence and Mor- tality Worldwide for 36 Cancers in 185 Countries

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.918045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38178489-5986-48b2-8b79-d2c288b60edd · outbound

This paper cites The global burden of cancer attributable to risk factors, 2010–2019: a systematic analysis for the Global Burden of Disease Study 2019.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines The global burden of cancer attributable to risk factors, 2010–2019: a systematic analysis for the Global Burden of Disease Study 2019

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.905598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 260f63ca-d24a-4085-a958-5e5e4b403e45 · outbound

This paper cites NCCN Guidelines for Breast Cancer.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines NCCN Guidelines for Breast Cancer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.892986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df8f807b-39ec-4403-87ae-d12fb1f08da2 · outbound

This paper cites Artificial intelligence in healthcare.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Artificial intelligence in healthcare

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.881995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b42d9e44-b082-4ca7-80eb-f93d628ee887 · outbound

This paper cites Challenges and perspectives in use of artificial intelligence to support treatment recom- mendations in clinical oncology.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Challenges and perspectives in use of artificial intelligence to support treatment recom- mendations in clinical oncology

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.869720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 099018c5-b648-4429-98df-0fea29d273a0 · outbound

This paper cites Language Models are Few-Shot Learners.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:09:29.433919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c50fc7a-4e22-4ada-930b-01bb247de1fd · outbound

This paper cites Capacity of ChatGPT to Identify Guideline-Based Treatments for Advanced Solid Tumors.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Capacity of ChatGPT to Identify Guideline-Based Treatments for Advanced Solid Tumors

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.857429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f2a28f1-dcfb-400d-82bf-5541942e0e24 · outbound

This paper cites The Consistency and Quality of ChatGPT Responses Compared to Clinical Guide- lines for Ovarian Cancer: A Delphi Approach.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines The Consistency and Quality of ChatGPT Responses Compared to Clinical Guide- lines for Ovarian Cancer: A Delphi Approach

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.754141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 625c02ed-514a-4e77-87ce-e24423b7c58c · outbound

This paper cites Artificial intelligence in medi- cal decision making: challenges for research and prac- tice.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Artificial intelligence in medi- cal decision making: challenges for research and prac- tice

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.740971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6a46f6c-603a-402d-afc7-66872fc618f7 · outbound

This paper cites Tim Berners-Lee’s Semantic Web.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Tim Berners-Lee’s Semantic Web

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.727700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94d370e5-36af-4abc-8de1-b4dbe0b046c8 · outbound

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

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.713891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5df7122f-4f6c-4e18-8601-fcc6eb212039 · outbound

This paper cites Graph Retrieval-Augmented Gen- eration for Large Language Models: A Survey.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Graph Retrieval-Augmented Gen- eration for Large Language Models: A Survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.700795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb22efca-8b06-400c-bdeb-f6d83165fc39 · outbound

This paper cites Optimizing RAG Systems for Technical Support with LLM-based Relevance Feedback and Multi-Agent Patterns.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Optimizing RAG Systems for Technical Support with LLM-based Relevance Feedback and Multi-Agent Patterns

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.687776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25ebf6c2-cd45-4794-8a6b-0e466cb42c47 · outbound

This paper cites Improved precision oncology question- answering using agentic LLM.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Improved precision oncology question- answering using agentic LLM

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.675773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ab0f0ec-4fc3-416c-b84c-05343130295c · outbound

This paper cites From Local to Global: A Graph RAG Ap- proach to Query-Focused Summarization.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines From Local to Global: A Graph RAG Ap- proach to Query-Focused Summarization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.664174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8940814d-6258-4913-a7ac-81f0b467edec · outbound

This paper cites Prompt Engineering for Healthcare: Methodologies and Applications.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Prompt Engineering for Healthcare: Methodologies and Applications

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.650893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf3e46e8-c4bf-4da5-8254-3b8285683619 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:09:29.476677Z

Source-reported events for the cited work

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Observation 9c975aef-d918-4a8b-bab6-6a009f42388f · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Unleashing the potential of prompt engineering for large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:09:29.480857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69d23ef-a3a4-40fd-a85d-7ce532be4783 · outbound

This paper cites NCCN Clinical Practice Guidelines in Oncology: Multiple Myeloma, Version 2.2024.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines NCCN Clinical Practice Guidelines in Oncology: Multiple Myeloma, Version 2.2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.638278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7f5666e4-db7c-4073-b287-988cad0c54de · outbound

This paper cites Manage- ment of Immunotherapy-Related Toxicities, Version 1.2024.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Manage- ment of Immunotherapy-Related Toxicities, Version 1.2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.624473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ffdb04aa-fa34-4772-8b21-d7b799eef368 · outbound

This paper cites Breast Cancer, Version 3.2024.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Breast Cancer, Version 3.2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.611150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3499d56-c0d7-457c-8d99-0759477acad4 · outbound

This paper cites Introduction to GPT-4o.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Introduction to GPT-4o

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.598475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0deac833-cd23-4461-b889-1d47a367019d · outbound

This paper cites O1-small Model.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines O1-small Model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.585195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca6c7ce8-aee3-4d95-9183-1166b047e744 · outbound

This paper cites Use of Artificial Intelligence Chatbots for Cancer Treatment Informa- tion.

Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines Use of Artificial Intelligence Chatbots for Cancer Treatment Informa- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:29.572453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 0bca61ec-7bef-4044-bd32-fafd90cef4dc · inbound

TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning cites this paper.

TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:51:11.726621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.