Paper Citation Record · LEDGER

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2503.08569.

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

pith.paper-citation-record.v1
2503.08569 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:07.108809Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:30:00.339851Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 65160443-072e-4bf0-b947-7d4a503fc407 · inbound

AI Scientists Fail Without Strong Implementation Capability cites this paper.

AI Scientists Fail Without Strong Implementation Capability DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:07.108809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea51967-4cc0-4910-a556-5be522191324 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:57.042629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 752cd971-5ef7-4051-a633-16f5c3105158 · inbound

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas cites this paper.

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:32.974824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e30063e-1521-4004-b16a-b44f9e32847c · inbound

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? cites this paper.

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:49.430807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1026e14f-6432-4196-a458-28882f5d648e · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.149048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34e9a2c8-4500-4153-a25f-177f2969c1fb · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 214

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:15.207907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b376aacb-bdb0-4f8f-bc08-771798d0b0bd · inbound

ReviewRL: Towards Automated Scientific Review with RL cites this paper.

ReviewRL: Towards Automated Scientific Review with RL DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T20:36:17.387998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ca3193-27be-4d7c-b6f9-b7894b28cce9 · inbound

When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer Review cites this paper.

When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer Review DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T18:34:50.043546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd60011-6884-4a81-913f-918d2af37e14 · inbound

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews cites this paper.

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:41:33.380611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5494b6d3-cc63-4ce5-aa65-7cff8bc3b62f · inbound

OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning cites this paper.

OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:43:25.717056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c902ae-8515-4b0d-970a-1620a661cebd · inbound

Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance cites this paper.

Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T09:22:02.563531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d6b8ad-5107-4284-9096-67671705c45c · inbound

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts cites this paper.

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:26.616203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b94d0afb-2070-4051-9548-73166149cfee · inbound

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments cites this paper.

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:27.609264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2afccf13-26ae-4478-83e4-af681dfae2c3 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 269

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:12.416249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 045a742d-ddc1-464e-8c65-01be30ab971e · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 268

Resolution: unresolved; no resolver link, observed 2026-08-02T13:43:55.924352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 632eb617-ccc8-4008-91fd-3ddc65e23a35 · inbound

LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges cites this paper.

LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:30:00.341307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation febe6e91-5f93-42cb-9100-b362bc6c99cb · inbound

OmniPresent: Generating Coherent Presentation Suites from Scientific Papers cites this paper.

OmniPresent: Generating Coherent Presentation Suites from Scientific Papers DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-12T09:30:41.159870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.