Paper Citation Record · LEDGER

Reviewer2: Optimizing Review Generation Through Prompt Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2402.10886.

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

pith.paper-citation-record.v1
2402.10886 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:34.304874Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e999e64d-41bb-4495-8d22-7e4f33b90897 · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-11T22:18:31.834388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69cdc240-5a10-4035-8f91-3cbd8e4640ad · inbound

OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews cites this paper.

OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:29:04.086923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e30ffb-8fe8-40f4-aeb7-c4d3eaa7f5a8 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.221684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65a737e-1085-46e7-8b29-21d10fc2c334 · inbound

Large language models for automated scholarly paper review: A survey cites this paper.

Large language models for automated scholarly paper review: A survey Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T19:16:12.702461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2429bfb3-af12-4b89-95a9-5758101ce73e · inbound

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research cites this paper.

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:34.304874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6fc9eb0-6c2e-4d15-80c1-77e3379b93a5 · inbound

SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers cites this paper.

SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:25.501999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4654712b-d398-4c49-b9ad-c609ecf78665 · inbound

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review cites this paper.

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:21.258068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0099349-17ec-44c5-97cd-e6d9956c5020 · inbound

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers cites this paper.

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:55.687004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542e6c83-fd5d-4771-b928-0b7b4f39e699 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:17:06.295845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90d8ac6b-a8ae-414e-be6f-91220e8e046e · inbound

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

How Far Are AI Scientists from Changing the World? Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:14.665799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37790a7e-dee2-43f0-86b4-bf2889e1d824 · inbound

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

ReviewRL: Towards Automated Scientific Review with RL Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T20:36:16.772239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e80af8-20f9-4aa1-aa6f-695d76fd38b8 · inbound

Cactus, Pascal, and Pappus Point-Line Configurations: An Algebraic-Geometric Perspective cites this paper.

Cactus, Pascal, and Pappus Point-Line Configurations: An Algebraic-Geometric Perspective Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T17:13:42.783142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb651af4-e748-4def-9aab-4c37acd40302 · inbound

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

Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T09:22:01.825081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549321d4-00f7-49dd-8656-19a035c7dd3d · inbound

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment cites this paper.

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.510291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3207af46-12a9-4052-b90f-032520cdeb08 · inbound

ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents cites this paper.

ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:00:24.631445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 829260ac-bcdd-450e-ad9f-191bf466bd75 · inbound

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution cites this paper.

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:40:20.195765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53ccf259-498b-4426-97fc-370f304900e4 · inbound

Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI cites this paper.

Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:21:19.238161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9ee24ff-51de-4588-adfa-ca10cf585396 · inbound

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

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:26:26.605472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0927d7de-7dbc-477a-a777-750e435d920b · inbound

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

AI for Auto-Research: Roadmap & User Guide Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:12.529122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8bea26c7-dee9-41cf-a96f-fc1b74cdcc8c · inbound

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

AI for Auto-Research: Roadmap & User Guide Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T13:43:33.512328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee3de25-81ee-4694-b7b9-ec54908c4cc1 · inbound

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research cites this paper.

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:46:39.291476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ffad68d-0260-44ee-84f0-a4a96881b820 · inbound

LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers cites this paper.

LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:44:01.764001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d61c6aa-2f07-4349-be76-705a8cce882d · inbound

PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers cites this paper.

PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.030815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation accc9500-0ee0-4264-a57a-dec267f13fd3 · inbound

EGTR-Review: Efficient Evidence-Grounded Scientific Peer Review Generation via Multi-Agent Teacher Distillation cites this paper.

EGTR-Review: Efficient Evidence-Grounded Scientific Peer Review Generation via Multi-Agent Teacher Distillation Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:46:57.491955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00d6e035-b68f-4b47-88ca-b1c22e0ff090 · inbound

From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent cites this paper.

From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-27T07:20:42.048393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 63121c24-ae20-4815-b9c6-83d27c8a7cae · inbound

Judgment-Grounded Expansion for Peer Review Generation cites this paper.

Judgment-Grounded Expansion for Peer Review Generation Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:49:46.279748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6e9a6a9-86aa-4089-a5de-e40118ce5837 · inbound

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

LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:30:00.403724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36b30d1a-acb7-4d54-a3d1-afaddbd71b63 · inbound

From peer review nuances to best practices cites this paper.

From peer review nuances to best practices Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T07:08:27.653792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4311d195-ad1a-438c-aa02-259248cb251b · inbound

Do Methods Support the Claims? Intra-Paper Verification for Peer Review cites this paper.

Do Methods Support the Claims? Intra-Paper Verification for Peer Review Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T10:34:38.570534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e8cf7b8-2a54-42ee-ad73-31c857aba1ec · inbound

RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review cites this paper.

RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review Reviewer2: Optimizing Review Generation Through Prompt Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:00.018534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.