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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T23:38:28.005028Z digest=sha256:281abb8c28cace0646b0da575d9571897fa4eca2eab4954b322560eaebad1f6f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T17:32:06.864338Z digest=sha256:4368d9a9582f13ea2ac0ca16418788608b13660c86957974a5524291ab065485

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T02:12:53.971359Z digest=sha256:56bde7bf8f4aefa9ca72b4250c65c876329896e90aed011a837e147c3c3e7ab0

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T22:52:30.390368Z digest=sha256:0580d093e8975a5f48e44c00cca0b64e0363472b872e52ea7b2167db3abbed80

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T23:34:47.329113Z digest=sha256:0efe7cf9e4c2ec4f19751d65720698735877860fb5244abe6cdfa146c3ed3d9e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T07:14:53.780036Z digest=sha256:9b33eaf40b593c98f6b5d520bd86591b4a6d3b1b43ccb9870d22a3d29eef5bbd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T00:13:14.940915Z digest=sha256:0c2028f6f5f1a95072927cb7e4f95f6d42f4892836665336666a85b145440f15

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T05:18:53.840963Z digest=sha256:d8984080e2c84cf4edb9116a735a1211f6431d48145f0651eb94d20f63e71022

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=sha256:6fb9c33caec5c10cde615af1c95a7e833bd3b4d808a5e6590f2e871345905fc1

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