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Paper Citation Record · LEDGER

ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2306.00622.

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

pith.paper-citation-record.v1
2306.00622 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:10:00.689487Z

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

27
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 a12246f8-e5ae-49f4-bc5f-5e4a60fec465 · inbound

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews cites this paper.

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:48:47.468986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T02:48:00.282814Z digest=sha256:02c53c58d58bbab3883732059045c61117fdb09c1516cd16f457353e372cd07b

Observation 1fea0a82-127f-441c-9167-8ae1483614cf · inbound

Automatic Evaluation Metrics for Artificially Generated Scientific Research cites this paper.

Automatic Evaluation Metrics for Artificially Generated Scientific Research ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T19:10:00.689487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:10:00.689487Z digest=sha256:5b27da672a5bd170d093858dff3b669b5a36552dce832cf3b54e0a31d20cf479

Observation 38603b02-d79c-4685-9479-5a41f3a8f66a · 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 ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:26.293474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:26.293474Z digest=sha256:20ff7a1f286899a3ec3f3f72639e2a8383b0379efd83011c527d4abbcf715500

Observation a1a7b485-b4bb-4206-8f05-8f91042d8d1e · inbound

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models cites this paper.

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:37.220322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:31:37.220322Z digest=sha256:5ce32c29fb40d222b3ee50f9dab0fedcb90c14f6d5eb22d6f211c7af706091b8

Observation df4af3dc-1bef-41f4-b771-cd3ac5fe10c2 · inbound

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem cites this paper.

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:49.550961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:22:49.550961Z digest=sha256:9886b8800d365faaea173624dc1ec5d6bdecc113ed5bb0001996e49ccbdfb4f0

Observation 5998f763-07a6-4560-a65c-4788e8dff6b8 · 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 ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:28:56.785071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:28:56.785071Z digest=sha256:78cb740ac027a2c9fd9d5a62dd886cd780166470d6c2f646e29ea031b3def2b4

Observation d6dcbfee-d640-4194-b1da-3e52a94fb6b3 · inbound

Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge cites this paper.

Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:15:44.839969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:15:44.839969Z digest=sha256:77083bc9dbc877606225cce12a68155294e9fed247289f18a2f19184ae9805e1

Observation 27984cf5-3d62-4242-9bbb-01a1b44f03ab · inbound

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

How Far Are AI Scientists from Changing the World? ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:14.882360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.882360Z digest=sha256:2ea24ea912f0ee8230907591b6e427d409d6eb9f2bc362a704d27aa2c776e2ce

Observation a1d2fc63-9b84-48e0-901c-b62912670dff · inbound

Are Today's LLMs Ready to Explain Well-Being Concepts? cites this paper.

Are Today's LLMs Ready to Explain Well-Being Concepts? ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T01:02:51.054113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:02:51.054113Z digest=sha256:65b2f57315cfeb26013728b680ba5e6b020cac9b802045e9cb09118521647982

Observation 19de3f25-27ae-4777-8ae2-865858fa2382 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 115

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:58:58.851875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:096b3a61fe9c41b2e0d79b3b6ce515100136831792f63c34d7f233177784b2e5

Observation d3ac6bf1-1659-4192-908a-4df8a3682f4d · inbound

BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers? cites this paper.

BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers? ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T08:59:48.280504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:59:48.280504Z digest=sha256:d275da84a42e3da1d36873dae074ae23f68c900fed4dad34b57f43e39a3958c5

Observation bd51ae98-02d0-4aa4-ad49-1c20bf31caa5 · inbound

LLMs, You Can Evaluate It! Design of Multi-perspective Report Evaluation for Security Operation Centers cites this paper.

LLMs, You Can Evaluate It! Design of Multi-perspective Report Evaluation for Security Operation Centers ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T17:03:08.132145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T17:01:47.603706Z digest=sha256:1524deb73020b9b747122efde72d18cbb4dfd8ce5dba1b30a98796e27cb6d670

Observation 427fe1c5-e471-42f3-9155-9e854ec856f6 · inbound

AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot cites this paper.

AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:00:24.448354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T12:58:35.010130Z digest=sha256:89d21a9ebfda6430975059b31045a79e690aca37032f9e23206bcc3e08fc8795

Observation 63376e88-234d-4b17-9fb0-6abed1a2f390 · 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 ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:21:19.156161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T01:50:31.124812Z digest=sha256:1df76e62fd0054558a156f3283dbe8ff566ab3795c07c2603cb2bfc8a8b04872

Observation 4cb9225f-4915-4e74-871a-d1ba58438e1e · inbound

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

ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:55:43.119225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:58:27.418883Z digest=sha256:0b435f6a1012c975b1ac505644007d29716fc832562a8e836d730068e619384d

Observation c2869991-65d5-4093-aada-94be323fc43b · inbound

Stop Automating Peer Review Without Rigorous Evaluation cites this paper.

Stop Automating Peer Review Without Rigorous Evaluation ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T17:41:55.862596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:41:55.862596Z digest=sha256:1790b7f283a56688abcaf5f4d591f2765607e39f3ee2ff40318bcd37c1e6ba54

Observation 2a7c90e9-8339-4d5b-8bb3-e3e5f273e882 · inbound

Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis cites this paper.

Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:55.807340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T02:12:53.971359Z digest=sha256:2f79cf81025d085de04e3490274fdf4011bc9cec6e6dc50c3f77d365a05a8be8

Observation f053806a-d954-476a-bb0b-01124c320c8c · inbound

Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis cites this paper.

Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:53:49.008913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T22:52:30.390368Z digest=sha256:4a93702708e4b36a9095c3b170dc60a8879cff7835b08d35818e4381d44dc318

Observation 2ae939bc-d1c7-47f2-b886-69edc2ca618e · inbound

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf cites this paper.

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:17:29.062504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T18:24:29.439691Z digest=sha256:f2f5a559cfa0b068cfcaf85c6b8c52b353d8e12d83ce5c5239a39d2614217fb1

Observation 511ca7c1-a0b4-4bb9-ad95-a935cf5cf9a7 · 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 ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-27T07:20:42.015360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T07:14:53.780036Z digest=sha256:d31ec3a25f548844401ba0ac1c89e8dead82bedfb0993daa2a889f998a1ddfe3

Observation c184dc36-7181-46db-9ef6-40af184246e7 · inbound

ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues cites this paper.

ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:58:57.926512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T01:01:24.456670Z digest=sha256:fff6650a8dbd4fd6e9c2104571eab12eadbde5cf018cb171a2387f8ce3a66d30

Observation 79628527-336e-4230-b627-93832e94693e · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 151

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:29:38.198990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:22:37.596720Z digest=sha256:7b68e4b9b78bae1f6de4a740aa02319acf54e3ff8fd81394cb0bbedbbdf65c02

Observation bb4a2352-61cc-4236-a6dd-ed370a064e69 · inbound

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? cites this paper.

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:57.758615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T00:13:14.940915Z digest=sha256:30426b4157d5202c7f459ec7458e32d751739409a9cbb98f1e08ef8459bc0ee4

Observation c875e44c-730a-4b77-9197-829737b75da4 · inbound

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? cites this paper.

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-12T12:32:39.706055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T12:32:39.706055Z digest=sha256:68cbcb9678733edb420ff00f0ac37eec7c47240ed0666dcbd59d50fd76d5179d

Observation 80e3f968-3ad2-4552-82d3-2c271e713e14 · inbound

Prompt Framing Distorts Count Based Evaluation of LLM Error Detection: Evidence from Numeric Anchoring cites this paper.

Prompt Framing Distorts Count Based Evaluation of LLM Error Detection: Evidence from Numeric Anchoring ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:59:24.759905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-04T01:50:12.182981Z digest=sha256:f4cc3fb4e35f0ab3dc115b807376a403f6b010dff5ceb38a2d2b753d5545ad55

Observation 1842de19-41f2-4e4b-bdac-da9afebbda19 · inbound

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification cites this paper.

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T00:25:09.763300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:25:09.763300Z digest=sha256:4127aa2f3dc9ae78924357b6a4796ded6abaf6fafe734eff659c2bab3c71139f

Observation 856ba543-d7a2-4d26-bf19-60ee6784b964 · inbound

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review cites this paper.

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T00:54:34.900318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:54:34.900318Z digest=sha256:6afb23a032ef01f7ab8f4de2080daf05b27d98f9b5af173e555aa7f9d963c87e