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Paper Citation Record · LEDGER

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

As of 6 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2603.25645.

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

pith.paper-citation-record.v1
2603.25645 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T18:06:18.381075Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T16:17:21.074502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:36:13.964295Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4029b6af-9a39-4a5b-aacc-8f3db3eb2785 · outbound

This paper cites Scientific Data10(1), 75 (2023) 2.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Scientific Data10(1), 75 (2023) 2

Reference 1

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Observation 8637af3a-fb28-4e13-a566-b5717ac6af5a · outbound

This paper cites Qwen3-VL Technical Report.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Qwen3-VL Technical Report

Reference 2

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:0ef9b9761847f65787993314b1500e4785ea2e178ce25a6c0d5c79a2e7a5e14b

Observation 9e885190-d51a-4cb1-9014-1f31f09ddaa3 · outbound

This paper cites Scientific Data11(1), 539 (2024).

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Scientific Data11(1), 539 (2024)

Reference 3

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Observation 8af183ab-7e94-43d1-afa3-5ba30518d4d9 · outbound

This paper cites arXiv preprint arXiv:2601.03232 (2026) 5.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos arXiv preprint arXiv:2601.03232 (2026) 5

Reference 4

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:787c3a3a68c4c6443e09d1e5b8c4edcd51f31bc5d4bbc91fa836f2842e9e6ec9

Observation 9638240a-360f-4a82-b14b-0369bfdeb041 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos SAM 3: Segment Anything with Concepts

Reference 5

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Observation e040daa7-aa3d-4a9c-813e-68e670c87a98 · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 6

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:bb2b15f1758442510a9cab72a20c38a04621d1c36d9e9eac048f614cd3b4d88d

Observation 490bce9d-3665-4728-9ac2-4854b9df9e70 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

Reference 7

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Observation 9bbba47b-f799-4bda-be96-1cd6c2c1e406 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025) 3, 7, 8 Title Suppressed Due to Excessive Length 11.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025) 3, 7, 8 Title Suppressed Due to Excessive Length 11

Reference 8

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:c1afefe9d82215ebb99448e5460f32bd0446294d16d8cbdfc67e109e4c385eb3

Observation 94333909-9df5-4ce1-8cb3-5a5b5f48d90b · outbound

This paper cites In: European Conference on Computer Vision.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: European Conference on Computer Vision

Reference 9

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:a66ebedef5147b507a07d5e133d9f31176221165b4a86ec1d2ef510f040589e0

Observation 81ff7b25-87d0-4a82-9adf-ca1f202ec84a · outbound

This paper cites Planting a SEED of Vision in Large Language Model.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Planting a SEED of Vision in Large Language Model

Reference 10

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:2f508d8efd49eba8b2da69e1ae8b4ca74ae4c25178de3d3076e8d55b99578e47

Observation 061c5628-cc91-44d6-acbf-f0070f7f12d6 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 11

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Observation 012a67c5-5f59-4afc-8544-71b321ec3608 · outbound

This paper cites com/THUDM/GLM-4 3, 7, 8.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos com/THUDM/GLM-4 3, 7, 8

Reference 12

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Observation fcac2ef6-126c-4648-988c-8693db50686a · outbound

This paper cites Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Reference 13

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Observation 0b67a25e-b043-457f-8662-d088ec74ac10 · outbound

This paper cites In: MultiMedia Modeling.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: MultiMedia Modeling

Reference 14

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doi, observed 2026-07-13T18:09:48.012647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:f07c9848f59e8f3ab0c9f6e27b3ba77a0ac2de18609409242a37c2728db259fc

Observation f837bc4e-5ae1-463a-a04d-828ad4b285ea · outbound

This paper cites Gastroenterology170(1), 174–187 (2026).

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Gastroenterology170(1), 174–187 (2026)

Reference 15

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Observation aad0c3c7-24f3-4567-a5c7-6145e8e08b45 · outbound

This paper cites PLoS ONE16(8), e0255809 (2021) 2.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos PLoS ONE16(8), e0255809 (2021) 2

Reference 16

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Observation cb52b210-2ba7-4c12-8e7f-e35a19412c52 · outbound

This paper cites Neurocomputing (2024) 2.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Neurocomputing (2024) 2

Reference 17

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Observation 29831658-76ef-4c9c-9019-c838de802de2 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference

Reference 18

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Observation f2ebcc07-681c-4859-9f74-865e5b937abd · outbound

This paper cites Gastrointestinal Endoscopy93(4), 960–967 (2021) 2.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Gastrointestinal Endoscopy93(4), 960–967 (2021) 2

Reference 19

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Observation 6acbdf50-2a59-4f6e-98a3-230432a68530 · outbound

This paper cites an unresolved cited work.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Unresolved cited work

Reference 20

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Observation 98204592-1c9a-489a-8796-c4db82788acd · outbound

This paper cites In: ICML.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: ICML

Reference 21

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Observation c5114701-3986-4864-9b5f-d56e597318a4 · outbound

This paper cites Scientific Data12(1), 1382 (2025).

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Scientific Data12(1), 1382 (2025)

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a6806b55-3d98-4e90-b479-73c61ad6e616 · outbound

This paper cites CA: A Cancer Journal for Clinicians 71(3), 209–249 (2021).

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos CA: A Cancer Journal for Clinicians 71(3), 209–249 (2021)

Reference 23

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Observation f8e883f8-1e0d-4519-9841-900621e55eb4 · outbound

This paper cites In: 12 H.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: 12 H

Reference 24

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:c990de8cee510aba2c4053c83193b00db7d3f672b75bfa7f1e23c809f17babb5

Observation c41dac82-7219-4b96-9ce0-46ac06177572 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (ICLR).

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos In: The Twelfth International Conference on Learning Representations (ICLR)

Reference 25

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:29b016ca0ee7800ad116ec589319c07b4241349eafb988423a28624abfa08889

Observation e2828924-6e12-47ad-a0fc-edd53b41047f · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics pp.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos IEEE Journal of Biomedical and Health Informatics pp

Reference 26

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arxiv_id, observed 2026-07-13T18:09:48.008385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 040c6e18-3608-4869-a1aa-11772922044c · outbound

This paper cites IEEE Transactions on Medical Imaging44(7), 2948–2959 (2025).

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos IEEE Transactions on Medical Imaging44(7), 2948–2959 (2025)

Reference 27

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doi, observed 2026-07-13T18:09:47.998762Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7e1874e8-4b38-4f2c-a6ee-84460e9cbecd · outbound

This paper cites With bbox.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos With bbox

Reference 28

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Observation c5714985-7308-4924-b175-aaf28af88981 · outbound

This paper cites an unresolved cited work.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Unresolved cited work

Reference 29

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Observation 9b650945-546f-49ce-8850-6ee8da0cfed4 · outbound

This paper cites an unresolved cited work.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Unresolved cited work

Reference 30

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source=pdf_text observed=2026-07-13T18:06:18.381075Z digest=sha256:3ed8cb6021f198e250e07863d3221774590a6ce6950eff1d88fcc8497eda0c44

Observation 8d114e83-8336-4e8a-9e67-474674612b10 · outbound

This paper cites an unresolved cited work.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Unresolved cited work

Reference 31

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Observation f0348097-f1dd-4996-9579-49ce41766064 · outbound

This paper cites an unresolved cited work.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Unresolved cited work

Reference 32

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Observation 54b964b7-adcf-4c66-8122-77dea85bb19d · outbound

This paper cites Colon-Skill Prompt Context.The colon-skillSKILL.mdfile is used as context augmentation for MLLMs in the VQA benchmarks.

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos Colon-Skill Prompt Context.The colon-skillSKILL.mdfile is used as context augmentation for MLLMs in the VQA benchmarks

Reference 33

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Pith citing papers

Observation 95f46462-d7e2-48e7-a35f-b1751ca577e6 · inbound

MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks cites this paper.

MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Reference 12

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arxiv_id, observed 2026-06-25T02:18:12.435492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 43a3eeb8-b2c5-4248-9aef-0633ab308615 · inbound

MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks cites this paper.

MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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