Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:15.142160Z

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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:f4a625266519cd9f615f1328fe9cf7246c74a27a393ed6d3f64bf6bdcde40e56

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:1f23f3f761881cbfd62b7151990fc80f1b5eef90ab043fc65821885e0c1088b5

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=sha256:02379cfa54ffa621a04e4dcb0e13adc13895dd286925caadd0fb8ea07786db84

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=sha256:4ee8a2069319f7d48b70d8f8f7148f630595cbcdad2ab9b7845b9aa15887c2af

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T15:40:42.081350Z digest=sha256:8489b8bb440d2c8de3d0130b30fca10011c471a05befe62e446f83d0dc50a40d

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=sha256:8e765457886967ea89f45b0444bffd1b338b624aee2f1afba25fa2c8a30062cd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T10:48:54.805233Z digest=sha256:964f3993c5d3f6336a29e517a49fb1062c812773a713436cdf78f1019fc438a2

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=sha256:633a9158533eff2d5e6ed3eac7cefb71813634e7be066da708a0600ee3389d32

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:0b4d6f0f67f51503c006b317962a1e4e0f620f0aa392325e97363658508980b8

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:fc79b1f2e7006052f397b5ac1b14eb09b42603ac29a1c3f59efb496746914ffe

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T22:28:15.567273Z digest=sha256:ab4b62b3737fcff606f166d9f350a0dccf8075768378b208a2e24c1be5ed0477

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T06:37:45.175776Z digest=sha256:5cedf83cc3d124d9577e9b2af883e9dab81d50a11df0f77ab576033730886ca3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T07:14:53.780036Z digest=sha256:72cbed3f3029de0529b9e281d99ce0bbdf2ee0719affadc35eb81a6b7053e0e0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:12:38.192534Z digest=sha256:bf2d8f38c15298aa89f80d860281606d8992e28626b19895490ee6f7b5e4cce7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:28:40.913343Z digest=sha256:536db3f78ce331d9d4b74d6255801526c5b5cb67d3b8040c549c22641dd1a840

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T23:39:34.179789Z digest=sha256:6da7069c96094a169e0b139c75157cfadb6c1dd6bff0695b332dd2f3c6a54be4

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=sha256:2dbad2531f471156af9832776737e9ed2b3526d75335eae857d661ab99595aa1