Pith. sign in

Paper Citation Record · LEDGER

Towards Autonomous and Auditable Medical Imaging Model Development

As of 12 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.10522.

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

pith.paper-citation-record.v1
2607.10522 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:05:51.130839Z

measured 54 of 54 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

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bf2a6ad-e624-40ba-b4ee-b6f3127e690b · outbound

This paper cites Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes.

Towards Autonomous and Auditable Medical Imaging Model Development Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes

Reference 1

Resolution
verified exact
doi, observed 2026-07-14T11:10:24.953648Z

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.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:2c6b467842fa445bcee5c1b8315efb4dfd180ddf01385232152779fe958e490e

Observation bb001114-83b5-4377-ad34-da193e95af63 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Towards Autonomous and Auditable Medical Imaging Model Development MONAI: An open-source framework for deep learning in healthcare

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:8338479e5736f6de04dd522d4ff53952da30c960f2ccfc66f949d56232477d35

Observation f019e280-5a60-41a2-9a13-a19367c50ca2 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Towards Autonomous and Auditable Medical Imaging Model Development MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:d5b9d2801f2d65edd82e0ef01c0e2ce2c19d1c0364807408d0afb1d36c79b433

Observation aa9978c2-9b5d-46e9-bacd-984f9bec98a6 · outbound

This paper cites MARS: Modular Agent with Reflective Search for Automated AI Research.

Towards Autonomous and Auditable Medical Imaging Model Development MARS: Modular Agent with Reflective Search for Automated AI Research

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:d71a0a3f6855e375c8d83ab985fdbc958f7ded709183d67cdb08363343446a7f

Observation 23747cde-cb06-4896-bd8a-a0c84aeac6b8 · outbound

This paper cites Barbarians at the gate: How AI is upending systems research.arXiv preprint arXiv:2510.06189,.

Towards Autonomous and Auditable Medical Imaging Model Development Barbarians at the gate: How AI is upending systems research.arXiv preprint arXiv:2510.06189,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:8e157a192f75d28b393b3600c765b7390dea75e2c1203c904132d12e3db6afe7

Observation 3a2da8bc-0714-48b4-b3ac-3bb6d1a8ba25 · outbound

This paper cites AutoMLGen: Navigating fine-grained optimization for coding agents.arXiv preprint arXiv:2510.08511,.

Towards Autonomous and Auditable Medical Imaging Model Development AutoMLGen: Navigating fine-grained optimization for coding agents.arXiv preprint arXiv:2510.08511,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:12980c95ae1d390219e64e454edb930d4bcd2c37c15e03af700c36fedae4469f

Observation 9348c6ab-927d-4897-9746-444118d09887 · outbound

This paper cites MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery.

Towards Autonomous and Auditable Medical Imaging Model Development MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:c3e3d3994152098bf9824e10c5828bbe1707e3f2c70f9f0cdb5886f6de230d4c

Observation 065f7804-fdf8-46c2-9965-8a553008629f · outbound

This paper cites Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction.

Towards Autonomous and Auditable Medical Imaging Model Development Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:ea484a0f9a43d0c51cd12fa0a95607f72de304dc01e057cb35b6fc13f101ff10

Observation b1cd9c2b-401c-4b84-8043-6bb05299f7d3 · outbound

This paper cites Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction.

Towards Autonomous and Auditable Medical Imaging Model Development Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:a8a334b53a6179bfc51f15de5f45a8b56c3807c7b2793b63cf277ede5d5bddc8

Observation 6fb39b2c-2687-435b-ad0f-3fd49cd7c7dd · outbound

This paper cites Phikon-v2, A large and public feature extractor for biomarker prediction.

Towards Autonomous and Auditable Medical Imaging Model Development Phikon-v2, A large and public feature extractor for biomarker prediction

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:ea205e342804bab9677031ddc7adac956867f6a974ec9fd3e736268ec7e0d460

Observation 05454ce6-3c37-420c-bfd5-c49083196aee · outbound

This paper cites AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation.

Towards Autonomous and Auditable Medical Imaging Model Development AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:67d351d3ff03246777596567aa38b6cd87372b89fbc2753fe894d6af01473025

Observation 818b9480-7d84-4af0-abde-9dc42215baa2 · outbound

This paper cites Towards an AI co-scientist.

Towards Autonomous and Auditable Medical Imaging Model Development Towards an AI co-scientist

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:bbec0015c9f62af8cb89fd0d9d71db149f45a7eb353ea0777171975e737ef676

Observation 989161bc-e31f-48e6-9d78-5a651373cb39 · outbound

This paper cites Segment Anything for Histopathology.

Towards Autonomous and Auditable Medical Imaging Model Development Segment Anything for Histopathology

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:6e80b61dc8ffe58d3aee3e4ff1dbd8be0089015881ac2dad190368f63d0f3eaf

Observation b1fa88db-9271-484b-9259-aa778fc44b6a · outbound

This paper cites Ultrasound image enhancement challenge 2023, April.

Towards Autonomous and Auditable Medical Imaging Model Development Ultrasound image enhancement challenge 2023, April

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:2b60757e9560fb34ffd5db38fc2cb21adea3e391fcf5e8d346c7a2885ca97941

Observation dd734a02-fffd-46fc-b5ab-bdaeb8f89508 · outbound

This paper cites Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Atif Emre Yuksel, Sadullah Gultekin, Serife Damla Ozdemir, Kaiyuan Yang, Hongwei Bran Li, Sarthak Pati, Bernd Stadlinger, et al.

Towards Autonomous and Auditable Medical Imaging Model Development Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Atif Emre Yuksel, Sadullah Gultekin, Serife Damla Ozdemir, Kaiyuan Yang, Hongwei Bran Li, Sarthak Pati, Bernd Stadlinger, et al

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:25f8d9e9dde5466216a4e9a26f606455280f3594d48def4e849ee8c927cb8876

Observation 63a76892-24fb-4e89-a118-1eeeb2b6150b · outbound

This paper cites Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration.

Towards Autonomous and Auditable Medical Imaging Model Development Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:ff7e8a7196b37dc1cc92b08ef95cee1a4adeb4a6e994acc2d76799c0b6f383ca

Observation b3135fb2-604e-49a8-b650-8829cbffacf2 · outbound

This paper cites Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.Scientific data, 9(1):762,.

Towards Autonomous and Auditable Medical Imaging Model Development Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.Scientific data, 9(1):762,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:6af9bfc2c1193929ec40aeee308805a46c8150aea030d8c21e5c33107026de4a

Observation 6e67bed1-bb1e-413d-8b8e-af075f73cef3 · outbound

This paper cites REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?.

Towards Autonomous and Auditable Medical Imaging Model Development REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:51cfb227facdb6623b85a718485879760f92c4c6ce624f1258872b0bbbdbdc8d

Observation ea61383b-0b24-4a1e-872e-0305c8279d56 · outbound

This paper cites REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?.

Towards Autonomous and Auditable Medical Imaging Model Development REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:f1bcf1b2e4a223e77a45a1190d26717c6c9ea2c22e311263154b20654dce222b

Observation 37d1ff09-e3de-4378-aa2a-87945d76c751 · outbound

This paper cites Can Coding Agents Reproduce Findings in Computational Materials Science?.

Towards Autonomous and Auditable Medical Imaging Model Development Can Coding Agents Reproduce Findings in Computational Materials Science?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:fb7247b732469a41c172d874221e0c05c7e5b898fc1fd9f9b222323d6480e6a0

Observation d342a4a1-dc3f-4fb8-8ec6-40e71f85b93a · outbound

This paper cites CodeScientist: End-to-end semi-automated scientific discovery with code-based experimentation.

Towards Autonomous and Auditable Medical Imaging Model Development CodeScientist: End-to-end semi-automated scientific discovery with code-based experimentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:75d59576d6ee929fca03d3be0173eb6231b811aa1c5e398edc5b7544c13d2915

Observation 23a296a7-6c3a-4246-a15b-8961309f1e7e · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

Towards Autonomous and Auditable Medical Imaging Model Development AIDE: AI-Driven Exploration in the Space of Code

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:3fbb607cfce4581e925261aebca5575f9e0ad2ce58d00f6356b451d86f7adc5e

Observation bbdf131e-0667-4586-9bdc-80047d301567 · outbound

This paper cites Toward Generalist Autonomous Research via Hypothesis-Tree Refinement.

Towards Autonomous and Auditable Medical Imaging Model Development Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:5012f822388ec78e4839cb0e66df3dfbb80c7993e87be929c2b6c81a59ca4580

Observation 2aa36ec1-7417-468d-b237-0d2a32beb166 · outbound

This paper cites Towards the automatic segmentation, modeling and meshing of the aortic vessel tree from multicenter acquisitions: An overview of the seg.

Towards Autonomous and Auditable Medical Imaging Model Development Towards the automatic segmentation, modeling and meshing of the aortic vessel tree from multicenter acquisitions: An overview of the seg

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:e5bb616ba63d62aa0fe1af3b67c602e01d964c5310541c0d1147d22bee9b4d61

Observation b9789836-22fd-437f-a198-d0d2b786c715 · outbound

This paper cites Rex-mle: The autonomous agent benchmark for medical imaging challenges.

Towards Autonomous and Auditable Medical Imaging Model Development Rex-mle: The autonomous agent benchmark for medical imaging challenges

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:96cd0ddb47d2b46f25d482091e4bec85fe066a817d5e5383dbca49c959385c5a

Observation 5703e4ff-3ff1-48df-92af-1e340eacbfaf · outbound

This paper cites From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking.

Towards Autonomous and Auditable Medical Imaging Model Development From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:7dcfc4d0dc1ef79f6942c62df4a97281d299763c2d3134cf96671e110ed8bf35

Observation 48bc0bb5-d29c-4d85-a062-afcc28c15fdc · outbound

This paper cites From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking.

Towards Autonomous and Auditable Medical Imaging Model Development From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:e78b338f00683555e18d25bad35fa90b10680d4f3fd0ed91c5296d98ba105c5c

Observation ad3c6b67-66b0-4856-b9fb-d6cd8448dec7 · outbound

This paper cites AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery.

Towards Autonomous and Auditable Medical Imaging Model Development AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:cc1a260762a55e332f24ef55caf0fa04f363eac9ba765da9be1c7a07964e5dea

Observation 0d29acdc-dace-4421-ba18-2d233b138800 · outbound

This paper cites AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration.

Towards Autonomous and Auditable Medical Imaging Model Development AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:5858beb109ae33ae0f3b775fb458fa62ec0806e73ab00ea18622413f2a5eb354

Observation 00ff6a5b-1152-4d19-baf0-c90c1a2f48dc · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Towards Autonomous and Auditable Medical Imaging Model Development The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:af71e81e7c8240f6ac9710aed85eb611a852fa7cce3bd87e96d7dc6c177e0d43

Observation d6154b7d-3dde-45d4-99ae-0c81e1700825 · outbound

This paper cites MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI.

Towards Autonomous and Auditable Medical Imaging Model Development MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:9f277720ecc2ca3c4961bc6d7b4e321f8d6db55934506422b3268396e51df853

Observation ae12b4f5-a1c9-4652-8938-295c6c9a983e · outbound

This paper cites MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI.

Towards Autonomous and Auditable Medical Imaging Model Development MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:e9d3793ec195b2d9c89ae75c3dfeea162a5689c555ae0c86d634ac07eeeffe5b

Observation e398e4a1-123d-4c2f-85e7-86871c543bd6 · outbound

This paper cites ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence.

Towards Autonomous and Auditable Medical Imaging Model Development ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:aa2d33d2a47b4ef75df4e9435c34a1c69e368f0e6849bffc517c5478f5001b9e

Observation c22aa710-6fac-4567-b3ab-b4f3627064c5 · outbound

This paper cites Cellpose-sam: superhuman generalization for cellular segmentation.

Towards Autonomous and Auditable Medical Imaging Model Development Cellpose-sam: superhuman generalization for cellular segmentation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:2eadd865908e6569fb034dc9930a197fcf544f9a1900dbac65065666e79cd2ab

Observation c51cd593-1912-4a77-9979-baff8d6e5aa6 · outbound

This paper cites PiFlow: Principle-aware scientific discovery with multi-agent collaboration.arXiv preprint arXiv:2505.15047,.

Towards Autonomous and Auditable Medical Imaging Model Development PiFlow: Principle-aware scientific discovery with multi-agent collaboration.arXiv preprint arXiv:2505.15047,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:b6fdd1edadd99b97e697ad6a5834a1755d3649ec11b019112d8fdf852742ecd5

Observation dd8ad926-f184-4a29-be92-026e8d465b4b · outbound

This paper cites CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery.

Towards Autonomous and Auditable Medical Imaging Model Development CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:65aeaec377011cfafcc8dbc0d3222d5296eb4c608489abafd680b1fb7d35ae02

Observation e9f5d0ae-8d3a-4b17-a5c0-ef7d45b7715d · outbound

This paper cites PostTrainBench: Can LLM agents automate LLM post-training?arXiv preprint arXiv:2603.08640,.

Towards Autonomous and Auditable Medical Imaging Model Development PostTrainBench: Can LLM agents automate LLM post-training?arXiv preprint arXiv:2603.08640,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:00b040dca31f9f4c0da8abb1c8a4d146718fb20c46152fa394c13f68ff0aaa45

Observation b8e37bf9-45ab-468c-b85a-450953b21e73 · outbound

This paper cites an unresolved cited work.

Towards Autonomous and Auditable Medical Imaging Model Development Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:95c90537a3306c0797838f8adaabb7b9a1ad630d14c5563dd16397900168c445

Observation 069bef98-df8e-483b-9310-e2361903b39d · outbound

This paper cites Agent laboratory: Using LLM agents as research assistants.Findings of the Association for Computational Linguistics: EMNLP 2025, pages 5977–6043,.

Towards Autonomous and Auditable Medical Imaging Model Development Agent laboratory: Using LLM agents as research assistants.Findings of the Association for Computational Linguistics: EMNLP 2025, pages 5977–6043,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:bd85fb511101977f1dcb691076b4dee87f74ff58f236f57a260c4b0ea4e13324

Observation 463d2344-42df-4d5c-8712-55189b0271b8 · outbound

This paper cites CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.

Towards Autonomous and Auditable Medical Imaging Model Development CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:7f92d65ce72f1dbd78ed0d0edcce3029f525519391d78ffd3815cb9626d96565

Observation a1d91b6c-7c0d-4921-84da-a9df0b960500 · outbound

This paper cites CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.

Towards Autonomous and Auditable Medical Imaging Model Development CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:bd747ac58d984764ad9ff6f0712e130f7dcc1fd2ae27a9a6fc4f8bd7c71706ae

Observation ca9eb065-8019-49f3-9a0e-8fe6752af78f · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

Towards Autonomous and Auditable Medical Imaging Model Development PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:62ceff3c7a8691b96a0f6285f7422230b7927839875b1d3d20ee0321797c420b

Observation c5f011b0-4d4d-4df7-9345-04194b2fcbba · outbound

This paper cites Towards Generalist Biomedical AI.

Towards Autonomous and Auditable Medical Imaging Model Development Towards Generalist Biomedical AI

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:917db273d2422228c1d6673c2e860dca92031341bb39b1edfbc21a23a251af22

Observation c44f3827-9f08-44c8-b9e5-2e35529d44a4 · outbound

This paper cites NeuroClaw Technical Report.

Towards Autonomous and Auditable Medical Imaging Model Development NeuroClaw Technical Report

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:ff5f7cbf8bf3b765f6e69a16fe35c695ba22b4cdeda3b69937fa3ecf6e141876

Observation 3d4f5eef-eed7-425f-823a-030ea1e3c421 · outbound

This paper cites FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights.

Towards Autonomous and Auditable Medical Imaging Model Development FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:57921022042f1278b3c38772ed3870b611ccd8cce0eaa1bd54deec27226c01ac

Observation a3cd31b9-9fce-4d30-9b7e-46d71ff3cf7f · outbound

This paper cites Deepscientist: Advancing frontier-pushing scientific findings progressively.arXiv preprint arXiv:2509.26603,.

Towards Autonomous and Auditable Medical Imaging Model Development Deepscientist: Advancing frontier-pushing scientific findings progressively.arXiv preprint arXiv:2509.26603,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:46021b79fc8e6226981d4b48193243d0d31c11db0a1889dd4d885b98be1dc248

Observation 074c4aa3-ad7f-448c-b017-a93b028cc5bf · outbound

This paper cites Towards a medical AI scientist.arXiv preprint arXiv:2603.28589,.

Towards Autonomous and Auditable Medical Imaging Model Development Towards a medical AI scientist.arXiv preprint arXiv:2603.28589,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:d1e7f942914cb83e455b2c90a39aef2d8087d1292e80c01ee0d7360316bfac01

Observation 583bdf9e-a604-4c6b-aac6-786c23c552d5 · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Towards Autonomous and Auditable Medical Imaging Model Development The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:a63475aee582ae843670f54f952bdc6bf3a8d4e14713330c66511f419db5592f

Observation fe5554be-81b5-4d4c-8b85-e2fb65cf6b7e · outbound

This paper cites ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration.

Towards Autonomous and Auditable Medical Imaging Model Development ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:b9fb5d9c227170da6aa03b9fc6edd073048c690f9bad4cc256496fd760215b3a

Observation 6a032d14-daa1-471f-8162-74dcb689a8cc · outbound

This paper cites R&D-Agent: An llm-agent framework towards autonomous data science.arXiv preprint arXiv:2505.14738, 2025b.

Towards Autonomous and Auditable Medical Imaging Model Development R&D-Agent: An llm-agent framework towards autonomous data science.arXiv preprint arXiv:2505.14738, 2025b

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:fe4d116f331137c912e69b43850425d9fa38f236b10d1e1922c779cdbfa97bd8

Observation caa06616-fe44-49f3-9008-34fca7b81bfe · outbound

This paper cites ReplicationBench: Can AI agents replicate astrophysics research papers?arXiv preprint arXiv:2510.24591,.

Towards Autonomous and Auditable Medical Imaging Model Development ReplicationBench: Can AI agents replicate astrophysics research papers?arXiv preprint arXiv:2510.24591,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:8c613db3e9f1cd09403fe07e2cf4734362c612a16063fa33884a91812b2c3ebf

Observation edfcc9a5-445c-4cbf-b008-9d490e82516c · outbound

This paper cites URL https://arxiv.org/abs/2510.24591.

Towards Autonomous and Auditable Medical Imaging Model Development URL https://arxiv.org/abs/2510.24591

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:b0d81ed8958e61143b2d2b140172709f6600bd4ff23d69b384293129e7f84e50

Observation a1379054-fcb1-4bfc-9e3c-dc8cec31070f · outbound

This paper cites AIBuildAI: An AI Agent for Automatically Building AI Models.

Towards Autonomous and Auditable Medical Imaging Model Development AIBuildAI: An AI Agent for Automatically Building AI Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:0b0fcf04d4dfb00d1d9ba9c92358b6a8d7ad9c4179655a07edbe44d22b0b2669

Observation 548665da-5c52-4e38-9852-13428531548c · outbound

This paper cites From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development.

Towards Autonomous and Auditable Medical Imaging Model Development From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:049548faff16f3dcd7f869434a329282c31aed965131f6634cd7bb418864839d

Pith citing papers

No inbound Pith citation observations are available.