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Paper Citation Record · LEDGER

RadFabric: Agentic AI System with Reasoning Capability for Radiology

As of 17 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 5 inbound Pith citation observations for arXiv:2506.14142.

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

pith.paper-citation-record.v1
2506.14142 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:25.735607Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:11:28.509771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:42:38.510283Z

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5a90d4d-29ee-466f-b832-fad5a649821d · outbound

This paper cites Unichest: Conquer-and-divide pre-training for multi-source chest x-ray classification,.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Unichest: Conquer-and-divide pre-training for multi-source chest x-ray classification,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:26.960927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:24:24.911056Z digest=sha256:09e75cdded1e9f1754a4b07ba19401804dc9ba4d8a1eb5b61699fcc53af9a35c

Observation 684eced7-52cc-4839-a971-20ae0dc50c0a · outbound

This paper cites Torchxrayvision: A library of chest x-ray datasets and models,.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Torchxrayvision: A library of chest x-ray datasets and models,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:26.798742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:24:25.016318Z digest=sha256:b7f62670c221d65209516fc167dd7d5f6d94e97fefecc79cea4cd7ffdd074afa

Observation c415e550-4c9d-49d3-94f9-374b93045fa1 · outbound

This paper cites Robust stochastic gradient descent with momentum based framework for enhanced chest x-ray image diagnosis,.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Robust stochastic gradient descent with momentum based framework for enhanced chest x-ray image diagnosis,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:26.555342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:24:25.091299Z digest=sha256:dcaf18cb456a1d17d74af52eff0a2a69b3d4676a6629b3ab915dab294ff0eee0

Observation 897bed55-c825-4789-aeca-5b35c6a05066 · outbound

This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

RadFabric: Agentic AI System with Reasoning Capability for Radiology CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:25.171891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:25.171891Z digest=sha256:a00900eeb6c17a19ff4a9936eff8e6cae1cc79c19b09daab299e58565209392a

Observation fa9454aa-285f-4341-8de8-c9700e98491c · outbound

This paper cites Grad-cam: Visual expla- nations from deep networks via gradient-based localization,.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Grad-cam: Visual expla- nations from deep networks via gradient-based localization,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:26.427580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:24:25.258082Z digest=sha256:3f8b60d5700eae446754caa4bd860e82734e1477453ec25a5a3a8e25e7d882c5

Observation 1323e6a0-27c6-4b27-a30f-fd50eabcfa8e · outbound

This paper cites Chexagent: Towards a foundation model for chest x-ray interpretation,.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Chexagent: Towards a foundation model for chest x-ray interpretation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:26.237835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:24:25.352033Z digest=sha256:54986152ecfe526f0066aa24fd33f169b3fea8dbec1cd6ec4e321e70cf3dfee4

Observation d6d66597-8945-4341-a36c-7dd61f7d0033 · outbound

This paper cites Qwen2.5-VL Technical Report.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Qwen2.5-VL Technical Report

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:25.480772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:25.480772Z digest=sha256:8d1aa6087425aea6005059dddcb72525a79e4b50c2f478b8cd6ef4d4892ee77a

Observation 89301da7-ed0e-43a9-b4aa-1131b6c93a54 · outbound

This paper cites OpenAI o1 System Card.

RadFabric: Agentic AI System with Reasoning Capability for Radiology OpenAI o1 System Card

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:25.556253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:25.556253Z digest=sha256:00782af3df368c6042ce04844713726c9196efcab5a9ead7f24b19271d679cd0

Observation 013f06be-2ca1-4eec-a43e-936e833d04e8 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,.

RadFabric: Agentic AI System with Reasoning Capability for Radiology Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:26.044064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:24:25.658536Z digest=sha256:fd8ecec32e75c692287784e8fe3a9ee9baed6c3f2cb65b0895da52371904660d

Observation 9b2d6cba-2dc8-47b4-bd07-dec9324f181c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RadFabric: Agentic AI System with Reasoning Capability for Radiology DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:25.735607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:25.735607Z digest=sha256:25638190640336545cf4c224b7c5ffcd69531ba58e2b0fa1ef26e6f656108f65

Pith citing papers

Observation 8af27dcf-5f1d-4ea8-a042-14c445a3b086 · inbound

RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows cites this paper.

RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows RadFabric: Agentic AI System with Reasoning Capability for Radiology

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:42:38.514773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T13:42:27.605436Z digest=sha256:46b9df60de737535eb86e2f2733fe1d95aeb5df7257ae5e7f4dd10ca8326278f

Observation 5cb49239-2d61-4830-a797-0755da13780a · inbound

XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis cites this paper.

XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis RadFabric: Agentic AI System with Reasoning Capability for Radiology

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:03:19.923664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T21:00:18.392949Z digest=sha256:ad6809c7f51478bf6f7a884812c3bf8ab22e0581081a3dde2f8e91f1444f01e7

Observation 6a5c0a15-e478-4c00-b518-b1ab146edd6f · inbound

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing cites this paper.

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing RadFabric: Agentic AI System with Reasoning Capability for Radiology

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:26:02.072121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T14:56:06.372343Z digest=sha256:141f5d5d911e52ce3068e35c971e762ce387bb0745b28e44150747c8b56807cf

Observation a4695557-b46d-4833-a1b7-7573700dfae8 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy RadFabric: Agentic AI System with Reasoning Capability for Radiology

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:7c3a95961c13b5b34043bd35a3f63e1a14f490cfa3fcbdfac3bb8f34fcb8658c

Observation cfa155c0-dc27-4faa-ae0c-15552da4bc85 · inbound

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination cites this paper.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination RadFabric: Agentic AI System with Reasoning Capability for Radiology

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.509771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.509771Z digest=sha256:a70b2d08cbf7286f3daaa481ed8a47cb983071aecd39fd632c1e1f76ad65ca3f