Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:44:26.544883Z
Paper Citation Record · LEDGER
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer
As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.09142.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
32 of 32 outbound references displayed
- verified exact1
- verified fuzzy14
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b5039ed6-3c53-4916-82a9-68ed0aadb843 · outbound
This paper cites reasoning.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer reasoning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:31.014745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 79875b4e-d0f1-4c6b-891b-1c83bc991698 · outbound
This paper cites forgetting issue.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer forgetting issue
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:30.882526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2144613a-cbab-4694-94cd-34f20c3d3e04 · outbound
This paper cites The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding institutions.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding institutions
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:30.574754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2c132ae0-faa4-4cae-a6df-7aa807b28a7b · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.064745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5904abe-b9b9-47e8-aef2-d56415aeda71 · outbound
This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Text Embeddings by Weakly-Supervised Contrastive Pre-training
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.301384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5b75f21-e48e-48ea-bd0f-52c21b32e2d3 · outbound
This paper cites gpt-oss-120b & gpt-oss-20b Model Card.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer gpt-oss-120b & gpt-oss-20b Model Card
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.354751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2b04f7d-127b-4739-8944-56b49923da97 · outbound
This paper cites 14 Chen S, Kann BH, Foote MB, et al.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer 14 Chen S, Kann BH, Foote MB, et al
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:25.995573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a5d541-b8fc-4211-a54b-0799b4016f39 · outbound
This paper cites 27 Asgari E, Montaña-Brown N, Dubois M, et al.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer 27 Asgari E, Montaña-Brown N, Dubois M, et al
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-11T22:44:26.904847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7fe4db57-a914-4b29-80dc-1d22a5fe9913 · outbound
This paper cites MedGemma Technical Report.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer MedGemma Technical Report
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.114740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d15081-2672-46d7-b625-780589e710e6 · outbound
This paper cites UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.519868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5830a07-be68-47e2-9ba0-7c134178ba0d · outbound
This paper cites Defining an evidence-based strategy for streamlining cancer multidisciplinary team meetings.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Defining an evidence-based strategy for streamlining cancer multidisciplinary team meetings
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:30.234754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e64b0c75-8d1a-481e-92a9-0b1a1afb429a · outbound
This paper cites Overcoming catastrophic forgetting in neural networks.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Overcoming catastrophic forgetting in neural networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.222150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 276bd8e5-39f7-463e-889e-d1f4b17418cf · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer BERTScore: Evaluating Text Generation with BERT
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.454749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f338d3b-4f29-4c92-a8c5-a990be57a6fa · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.268024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47e0bcb8-ea0a-4100-98ec-b1d744447632 · outbound
This paper cites The Faiss library.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The Faiss library
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.319586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation daf1697f-52ab-423e-9816-b1ce2b25aea0 · outbound
This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.259059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 145752df-c8a2-490c-869d-1c11730c6017 · outbound
This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.286415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68274fd0-cac8-4c7f-bb08-885397e5c6ff · outbound
This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.404750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92246f0d-52f8-404b-b2df-b2fb9f8a1ba2 · outbound
This paper cites The Llama 3 Herd of Models.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The Llama 3 Herd of Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.038615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0167362-1990-4514-bd85-5bafcd95d400 · outbound
This paper cites hallucinations.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer hallucinations
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:30.754751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b74c3160-c04a-42eb-a0fa-de7c1fc58438 · outbound
This paper cites Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings
Reference 141
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:29.905072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bc2c9b50-600a-4f4e-be5c-b4677e98a305 · outbound
This paper cites ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP).
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP)
Reference 274
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:29.074737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9dd6d0a4-fb2f-4940-b914-ca3531740ae6 · outbound
This paper cites Generative artificial intelligence to transform inpatient discharge summaries to patient-friendly language and format.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Generative artificial intelligence to transform inpatient discharge summaries to patient-friendly language and format
Reference 329
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:29.244748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 00e49410-58b8-42c5-87f5-cffd84b73415 · outbound
This paper cites Large language model influence on diagnostic reasoning: A randomized clinical trial.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Large language model influence on diagnostic reasoning: A randomized clinical trial
Reference 465
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:29.724751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4f99e64d-3140-4b46-b5d4-b8640b1456b8 · outbound
This paper cites Review of precision cancer medicine: Evolution of the treatment paradigm.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Review of precision cancer medicine: Evolution of the treatment paradigm
Reference 561
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:30.404750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 65d38efb-8ed4-4490-8d45-342964bfcca6 · outbound
This paper cites Evaluating large language models and agents in healthcare: key challenges in clinical applications.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Evaluating large language models and agents in healthcare: key challenges in clinical applications
Reference 600
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:28.884747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ed2285cb-e2c0-4f51-b64c-c791f5cc7df5 · outbound
This paper cites A large language model for electronic health records.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer A large language model for electronic health records
Reference 1032
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:30.074755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 55c10d60-c04a-42e6-82e0-720d50fb33f7 · outbound
This paper cites The quality and safety of using generative AI to produce patient-centred discharge instructions.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The quality and safety of using generative AI to produce patient-centred discharge instructions
Reference 1932
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:29.405187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c2809b63-3885-4eba-8641-78c5b4345328 · outbound
This paper cites an unresolved cited work.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer Unresolved cited work
Reference 2011
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.544883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 365896be-212c-4b47-9cd7-d26ed06aa001 · outbound
This paper cites 50 Zha Y, Yang Y, Li R, Hu Z.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer 50 Zha Y, Yang Y, Li R, Hu Z
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.476293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972273f9-a9af-4218-9962-58efe8069a2b · outbound
This paper cites 51 Li Y, Wang H, Zhang Q, et al.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer 51 Li Y, Wang H, Zhang Q, et al
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:26.495854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 651bd1d8-2fcb-4465-89c3-4d62b97cbf2b · outbound
This paper cites The Llama 3 herd of models.
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer The Llama 3 herd of models
Reference 9799
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:29.538379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.