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Paper Citation Record · LEDGER

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2412.01708.

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

pith.paper-citation-record.v1
2412.01708 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:19.347084Z

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

8
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 b98faf82-3523-4f26-9e46-e4c30e831c5d · 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 Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:04.095986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:04.095986Z digest=sha256:be6dc0bcb2c417211a64ccf24c5532a4e9895dc2712396a8e374d8c5a1f9d031

Observation 89a32356-df3b-47bb-8ea1-4ec7cb3e6358 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 130

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.750885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:4e69283140eed7b37cb31dcb1c71076412ababecabae5d50c0c699614d72349c

Observation d9b89c34-37b7-4eea-8444-dd10820ef57a · inbound

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection cites this paper.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.347084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.347084Z digest=sha256:15fb328714d17859b1cc866cad2cf8d3949795207e6f69926ec4354a39d1c8fb

Observation b443e7e1-d218-4f5e-ad36-5a56e540586a · inbound

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection cites this paper.

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T05:30:51.353074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:30:51.353074Z digest=sha256:39faae909676e0f1c3003a174c1e82aecbbd853dc05e6c095cfb8c7a3b4b79b9

Observation 4bacb24a-069d-4e49-b7c7-9c99b99c661e · inbound

AI-Driven Scholarly Peer Review via Persistent Workflow Prompting, Meta-Prompting, and Meta-Reasoning cites this paper.

AI-Driven Scholarly Peer Review via Persistent Workflow Prompting, Meta-Prompting, and Meta-Reasoning Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T23:56:59.557333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:56:59.557333Z digest=sha256:0f7262476330c21fd099b09cf2a39b0ac20066f3f94c684b5a23d37eb2829fda

Observation 70b346b1-ce16-4427-a0fb-5651742a01cb · inbound

Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards cites this paper.

Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T23:19:07.399860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:19:07.399860Z digest=sha256:d5485d4d586bce734536d4e1e9e03d6f1d1b129c607f575223656a33db76bc18

Observation b87a1cd9-680b-4840-b44d-9196ba3982d8 · 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 Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 210

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:17:06.207800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:c463cafcb0b6221b51cbeb0d2271effec531c4561b8cdfa576da6126693514df

Observation 6a72eabb-4d57-4d7e-be3e-2b584f4e3b07 · inbound

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

How Far Are AI Scientists from Changing the World? Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:15.142160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:15.142160Z digest=sha256:e689d989ffb18a85dd9691df67baf1d6f201d224385c5b3b7cf6de3e010eb140

Observation 46cdc565-9c50-4aa6-971a-6bd3448c1034 · 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 Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-04T18:34:50.021993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:34:50.021993Z digest=sha256:cbefc55aa7f7b8ca84fb22c3211d2d5e80b7123d34f6d98e681a8121b249cfda

Observation e59741b5-a022-42ce-9efb-00b54a5bc5f7 · 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 Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:41:33.375502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T15:40:42.081350Z digest=sha256:ac0f1d4507756f0dfb7aaf80020bce9d277821add08c877b1c73e05f88cfdeb0

Observation a78baa27-7900-4980-8521-59755b8c14e6 · inbound

AI and the Future of Academic Peer Review cites this paper.

AI and the Future of Academic Peer Review Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T15:53:58.248977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:53:58.248977Z digest=sha256:0631165fc65407112db025d2ac510c836789cc23cfd94b5d75f6919134fc525f

Observation 4ff71c0f-fad4-4deb-85f4-bac75a4375df · 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? Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T08:59:49.268362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:59:49.268362Z digest=sha256:50fb50b9bacca2060107673cb6b8d8758a278ecc47886fb9d9c10b5654b40bb2

Observation 82173ef8-c426-447b-993e-59f053868c7a · inbound

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

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:26:26.608404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T10:48:54.805233Z digest=sha256:6a2baf918975c5056ea78aea7e04f0b884e79d2f2e74f0bc97570d1b5c6ca18c

Observation ee3a6272-39e9-4d15-8b48-e9f2310ffd2e · inbound

Stop Automating Peer Review Without Rigorous Evaluation cites this paper.

Stop Automating Peer Review Without Rigorous Evaluation Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 7

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=sha256:6063e866b76beacc31ec8b3436a2733002a86c1bc8cbfbc933b8e8009425f117

Observation 601b5dcf-1b1d-4dd4-ab86-5b07a63fa68f · inbound

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

AI for Auto-Research: Roadmap & User Guide Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 242

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:12.471542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:76a141dd34bd1212b2d6ffa9ab93d4a41bd2a62aa4ddd564983c73c782a9cdef

Observation 256c9fce-9216-4477-b81e-52d878822845 · inbound

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

AI for Auto-Research: Roadmap & User Guide Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 241

Resolution
unresolved
no resolver link, observed 2026-08-02T13:43:52.562532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:43:52.562532Z digest=sha256:4ee65fb9bc125078418edaf40523fff4d05c58b3acf7f19e80bf1381365ee674

Observation b69953b3-35d4-4487-93fe-17b93ea963f9 · inbound

Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance cites this paper.

Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.048719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T22:28:15.567273Z digest=sha256:840a1ec8e206e486ba3b7361d0ef686d252beee0cccb4ef7d63bfa3d70374531

Observation 8dbb5746-8b72-406a-8db9-de7ce997256c · inbound

No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions cites this paper.

No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:08:33.715142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T06:37:45.175776Z digest=sha256:4d7fa907d845907341e4619a3a6f3948d39f0ce430a1b892aa8da02f4d916641

Observation a45eab47-e333-479d-b97d-4380306cf2f9 · 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 Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-27T07:20:42.037778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T07:14:53.780036Z digest=sha256:17f5f9b9b5d7162098654ae6f9b03c4272eea78be5d50e25db8b82ccfb4a2fd2

Observation 65138183-3036-4eac-a8ad-6b010b4abf6f · inbound

PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality cites this paper.

PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:34.578105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T17:12:38.192534Z digest=sha256:3d4e5ca9a5bae4a4ba74c6e3816cb150efde3879bb6f65ae720811b665a752d0

Observation 8738ec5c-aea7-4fb0-bebc-21c331ed7238 · inbound

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

Judgment-Grounded Expansion for Peer Review Generation Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:49:46.283096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T08:28:40.913343Z digest=sha256:b63d509c5beea1a95e145f6e0cbd022ef9021930b9b8954641fc3399d323b957

Observation aec12244-34fe-4bff-b897-3982d55c4576 · inbound

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

LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:30:00.373685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-25T23:39:34.179789Z digest=sha256:18bc1a28ae7b4e76a6d6e7c6e400fb0efb2abde3168c8f7cd7d5f1fa0c931a99

Observation 707f70cb-5d5b-41c5-9768-aee340ccfe0e · inbound

From peer review nuances to best practices cites this paper.

From peer review nuances to best practices Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T07:08:28.743605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:08:28.743605Z digest=sha256:4e5ddc58079db4662a6eaf64dc06c83d4753a6a96e143c44a752bb6784515f0a

Observation a49e3060-957f-4a10-9ef6-213a7d1157ea · inbound

Agentic Auto-Research is Fuzz Testing cites this paper.

Agentic Auto-Research is Fuzz Testing Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T05:31:05.797221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:05.797221Z digest=sha256:7a63eb31200eed57486058ad65187490923af26a32e38ba51d6b2a3a3ba1b54e