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Paper Citation Record · LEDGER

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.22555.

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

pith.paper-citation-record.v1
2607.22555 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:38:12.283001Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6a161bd-6c81-4ef9-b4c0-699d6fbc74f3 · outbound

This paper cites an unresolved cited work.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:10.943160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:10.943160Z digest=sha256:7331ca9385fa8e344c2dc5265b5ac0391abe2bacc643597453a290d67b6e5e50

Observation 2b915634-11be-4928-a0b2-c5d593c04f55 · outbound

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

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.119917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.119917Z digest=sha256:b6f2233f687caa2c75f0d0a837ae16420f9946d9c6dc81a3045165550e58463a

Observation fbbe7ad0-62de-42bd-a871-203c3e9afd2d · outbound

This paper cites DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.263118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.263118Z digest=sha256:c34f9caf017006bb01c58e72b4c83302a40cc58c5da03f2387973ee44fb55bee

Observation 4d99bf37-1627-4e4c-958e-ef67a3cf2ea3 · outbound

This paper cites URL: https://arxiv.org/abs/2511.23269.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs URL: https://arxiv.org/abs/2511.23269

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.397236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.397236Z digest=sha256:cf298c796c671163789722bd3ab86f8929171042e4466501de4635b3d8e24492

Observation 2d9747f1-83ab-435e-a42a-1e7ce2b0e03b · outbound

This paper cites Kocaman, et al., Clinical large language model evaluation by expert review (clever), JMIR AI 4 (2025) e72153.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Kocaman, et al., Clinical large language model evaluation by expert review (clever), JMIR AI 4 (2025) e72153

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.536964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.536964Z digest=sha256:0fcf0fa8f196716dfc40a5dc8854456ac7bdd53ba1206b58d3672039d4dd9f2d

Observation 04bd3213-fb3a-4c7c-8374-4d2a35f511ad · outbound

This paper cites Singhal, et al., Large language models encode clinical knowledge, Nature (2023).

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Singhal, et al., Large language models encode clinical knowledge, Nature (2023)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.620400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.620400Z digest=sha256:a57d7e60b804a7662687302b1f29061295e124deec9fc634be47706306b02d9f

Observation cfc5b7cf-fac8-4f3e-ac5d-8da6fe0720f9 · outbound

This paper cites URL: https://www.nature.com/articles/s41591-024-03423-7.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs URL: https://www.nature.com/articles/s41591-024-03423-7

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.750964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.750964Z digest=sha256:7ffa25e884ced8c51cfec4761c412f2a65038f3007a68c89192a41c323a7a8b2

Observation ea9593bb-f474-4e0e-9d9d-568a23ab9391 · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.801917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.801917Z digest=sha256:a0e7f9ae02be3aeed3256490ba29b930702d38786e55d40eb08d26ddb9c91b00

Observation 09721287-5f9a-4dec-80e6-c864a7798e6c · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.901477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.901477Z digest=sha256:c3e06c844092e7abb0fca626bdef00cffbaf69e234a22457d9bce4dcccd9d984

Observation 69b5d50b-427f-4ebe-8a07-e0a582e73bf3 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.972016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.972016Z digest=sha256:e0246caa4684eb9b7dcd744000155adfcaab5c4d6c8b363dd1cd66aae5484085

Observation eb8a77f0-b144-4654-bdff-6d96022e04fd · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:12.033056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:12.033056Z digest=sha256:7e6b292779eedf73aaaa28fa565c9b81c6ff8ded90114288e5a8917882ea459f

Observation f03d9c25-ee3a-420f-8d9a-1f3e5a192ae6 · outbound

This paper cites Augmented Language Models: a Survey.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Augmented Language Models: a Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:12.099740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:12.099740Z digest=sha256:3f5d16d468cf6c49a37c9176f29cd3b88c1e5e3aa86643a0722317d1f417b1bb

Observation 58ef1819-44d5-4646-bb48-ca8109f518e0 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:12.205520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:12.205520Z digest=sha256:c97d63c3485a2160885361eb6e875c1f1b4bb3a717cadbaad58d1e55ae111bbd

Observation c1fd0faa-9596-49a3-83ea-ddbc79784053 · outbound

This paper cites Survey of Hallucination in Natural Language Generation.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Survey of Hallucination in Natural Language Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:12.283001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:12.283001Z digest=sha256:c5c1f0509c656e20c5934e5a39bb31bd6ee91559dc89149546d23e591985b19d

Observation 702d8df1-7e43-4e65-ab43-a2aceccb29d4 · outbound

This paper cites an unresolved cited work.

DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T13:38:11.013161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:38:11.013161Z digest=sha256:9989e83c420c3b6aeb7c329b3d4a07ae03fcb27b541cf00197e3ff2faca20f7a

Pith citing papers

No inbound Pith citation observations are available.