Paper Citation Record · LEDGER

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2506.17311.

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

pith.paper-citation-record.v1
2506.17311 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:40:16.619184Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy10
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26e8d812-a282-407b-b325-f0965be2649b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:40:16.980080Z

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.

Observation 5d20b30a-8ce1-45a4-b40a-ea3735c850fa · outbound

This paper cites On protecting the data privacy of large language models (llms) and llm agents: A literature review,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study On protecting the data privacy of large language models (llms) and llm agents: A literature review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.967388Z

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.

Observation 26c429e2-875f-41a0-a986-218aa2e750e7 · outbound

This paper cites Assessing the effectiveness of crawlers and large language models in detecting adversarial hidden link threats in meta computing,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Assessing the effectiveness of crawlers and large language models in detecting adversarial hidden link threats in meta computing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.953902Z

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.

Observation 6cfae0d7-0752-448f-b086-244bf3e971aa · outbound

This paper cites Aaai news,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Aaai news,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.939517Z

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.

Observation a40654d8-1e9e-4d57-af9e-04ba98af8f2c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Chain-of-thought prompting elicits reasoning in large language models,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:16.565958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967feba5-e783-4120-9429-b266b337afe0 · outbound

This paper cites Can large language models provide useful feedback on research papers? a large-scale empirical analysis,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Can large language models provide useful feedback on research papers? a large-scale empirical analysis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.918549Z

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.

Observation 3d0fbd90-c729-406d-80db-a52086ce8411 · outbound

This paper cites The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:16.574436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a239066-530b-4b0b-a892-aeb05d1e7a5d · outbound

This paper cites Is llm a reliable reviewer? a comprehensive evaluation of llm on automatic paper reviewing tasks,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Is llm a reliable reviewer? a comprehensive evaluation of llm on automatic paper reviewing tasks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.903817Z

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.

Observation 9d9a2560-6c34-4d3b-b192-a8433ac83a55 · outbound

This paper cites Relevai-reviewer: A benchmark on ai reviewers for survey paper relevance,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Relevai-reviewer: A benchmark on ai reviewers for survey paper relevance,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:16.582737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc49db9-bfa6-4c52-b1ef-fa12b9de645c · outbound

This paper cites LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:16.586924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f8e7c6-d062-44ef-b806-80ad6f38b64a · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:16.591116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73fdc15-124e-4ded-9a98-a5cc8b8af63b · outbound

This paper cites A review on multimodal zero-shot learning,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study A review on multimodal zero-shot learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.889814Z

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.

Observation 8eb00e74-0d03-4edb-93d6-3e8a2f23b3e5 · outbound

This paper cites A compre- hensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study A compre- hensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:16.599296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fffdc8-9a6c-4b6d-84cb-f76b540222f7 · outbound

This paper cites Autogen,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Autogen,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.865004Z

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.

Observation bf6a0383-a5c0-41e5-a167-376a54b0ccd5 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:40:16.850992Z

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.

Observation 9e0497d3-3303-444d-936a-f79f9069b159 · outbound

This paper cites A taxonomy of ddos attack and ddos defense mechanisms,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study A taxonomy of ddos attack and ddos defense mechanisms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.838201Z

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.

Observation 8d59af2b-f59c-4fc2-8418-092bf1b8a087 · outbound

This paper cites Wasa2024,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Wasa2024,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.825528Z

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.

Observation 17999bbc-d5fa-433b-b158-fb0fd215938b · outbound

This paper cites Anonymity on byzantine-resilient decentralized computing,.

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study Anonymity on byzantine-resilient decentralized computing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:16.812215Z

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.

Pith citing papers

No inbound Pith citation observations are available.