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Paper Citation Record · LEDGER

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2310.01783.

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

pith.paper-citation-record.v1
2310.01783 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:59.571767Z

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

43
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 bb568326-4e9a-4fc2-923f-6d5deefb66f4 · inbound

AgentReview: Exploring Peer Review Dynamics with LLM Agents cites this paper.

AgentReview: Exploring Peer Review Dynamics with LLM Agents Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:38:37.237103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T23:38:28.005028Z digest=sha256:75aae7235e1a3492270260ea8db190e818eacc875de2cbb05a9147989cb3862e

Observation 088d102d-77a4-429a-9214-1c915d2fe0e7 · 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 Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 626

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:04.091522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:04.091522Z digest=sha256:535c1f09d3b500b6b76ad031e3d6f73fd5b977266bf1f0694759aa9f1121de98

Observation 2bb4ce2c-ba50-4982-a6cd-38611d362ba6 · 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 Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:56:59.571767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:56:59.571767Z digest=sha256:8253fd21cb557020204a0304178a772eddd22f1fa3e91dd2d589a8c15accadf4

Observation feb31682-7d67-43d2-815d-60eefb3168b4 · inbound

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development cites this paper.

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:27:34.156772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:27:34.156772Z digest=sha256:65bd36ef3276c0c3efd4f6b2bbf99fdb6148064faa4c652ab3328ebdbbd15ec0

Observation f22b4050-07a6-47c7-b80c-77217b39443f · 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 Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T17:15:44.823215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:15:44.823215Z digest=sha256:b1ffb3f13f0485935defe949f579b37efa49c3e6ec3b41a695739976c2388446

Observation 903672af-7ab0-4424-88f5-2d33bebc4e7e · inbound

From Image Captioning to Visual Storytelling cites this paper.

From Image Captioning to Visual Storytelling Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T10:27:39.290156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:27:39.290156Z digest=sha256:770654aba92864babb9f89d2f211d641d5e9279262651829664d9963234253c1

Observation 59cb7f8a-ffd6-4a41-a207-c441a963765b · inbound

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification cites this paper.

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:33:02.277073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T17:32:06.864338Z digest=sha256:cb1016d0cd0f458484f717f883c3f4258ab8d8ba7b977d2cd56f0eebb8463ce1

Observation 5770204e-940b-4ffd-b12b-ad7001a8b37d · 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 Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:55.811117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-11T02:12:53.971359Z digest=sha256:d3347f4ddc77e7191f27c486f60d565adc72042a92cfbda8710895bb702808e1

Observation 4d31af43-74eb-41ef-8d1d-035009fcb04a · 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 Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:53:49.136483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T22:52:30.390368Z digest=sha256:6e35e15245b349fa77d4d30f4168513b5083b2063fe6233be6f1c42a00009a05

Observation 19000e78-da25-4991-aca7-a6db3a170890 · inbound

Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review cites this paper.

Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:44:03.242558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-29T23:34:47.329113Z digest=sha256:24e5bd7c1a4d1d0c6ac75ea31daa80c329b1431a7abfd53954708ccc6ece50f2

Observation 78f99715-4d34-4ac1-b37e-0b9a6357fd02 · 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 Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T07:20:42.036665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T07:14:53.780036Z digest=sha256:526eb4b81ef660cf130ea7d8f1b76418e606da4025cd096962454318a0830b92

Observation 33a8d968-e1b2-48e2-b8b3-9de67ed5a8b9 · 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? Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:57.771270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-26T00:13:14.940915Z digest=sha256:e97050b8859bb9248646ef75c1b7c3efce6ff7bd7204df9495fbd9062936d54b

Observation 25baa93a-15c8-49f9-8710-407d16f5b578 · 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? Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 48

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=sha256:2e9f836cd159ab3aa86a40b70a8a3c017404773fc7cb77326299c1a6b96576bf

Observation b90453fb-fbec-494a-ba8a-9031fe0c4d90 · inbound

FARS: A Fully Automated Research System Deployed at Scale cites this paper.

FARS: A Fully Automated Research System Deployed at Scale Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:35:42.734109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-01T05:18:53.840963Z digest=sha256:4de5582394d05ddaf1421c4b836d99bc69b3a4162c48779d2eb8da3a14f9ddc0

Observation 06564d96-f70a-4616-9998-950a9f45f7ee · inbound

FARS: A Fully Automated Research System Deployed at Scale cites this paper.

FARS: A Fully Automated Research System Deployed at Scale Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T16:55:37.417202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:55:37.417202Z digest=sha256:57f96e51c4fed2e7e516ea5260c4160ebac372d2b2a8d5c9773be2822b7cbb22

Observation 58140b74-8732-47fd-be93-c151229f1c7f · inbound

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review cites this paper.

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T01:53:09.572478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:53:09.572478Z digest=sha256:549e1ac3b8dbcd063a2c3523d87677a1ff444086836259f72091e5f37ddf859f

Observation e4f57ed0-8e3a-4f58-97a5-ba5b662ba3a0 · inbound

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation cites this paper.

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T01:18:20.810733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:18:20.810733Z digest=sha256:a8c79d4760ae9e640cc7e349caf922223441faa7872b3157db1a4da05ede5dc1

Observation d5a24064-d7eb-44ee-9065-e7d889d50c2b · inbound

Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review cites this paper.

Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T15:15:45.881309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:15:45.881309Z digest=sha256:ce8f58af7ed293fe2220549c255b7fccebfb1cf8a01b56affba558079269eaa9