Paper Citation Record · LEDGER

Critique Ability of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.04815.

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

pith.paper-citation-record.v1
2310.04815 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:56.880879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:53:45.939117Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 67a6685d-c6d4-4bab-9133-cdd5b402162f · inbound

Improve Mathematical Reasoning in Language Models by Automated Process Supervision cites this paper.

Improve Mathematical Reasoning in Language Models by Automated Process Supervision Critique Ability of Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:45.941473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8cbc7e9d-d74d-4391-8d5a-6727001c91df · inbound

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving cites this paper.

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving Critique Ability of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:56.880879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a18081-1c73-4567-a183-1d5e47d192e6 · inbound

Can LLMs and humans be friends? Uncovering factors affecting human-AI intimacy formation cites this paper.

Can LLMs and humans be friends? Uncovering factors affecting human-AI intimacy formation Critique Ability of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:38.234016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2387592-9b32-4d1b-8e48-e4dc4bd13541 · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations Critique Ability of Large Language Models

Reference 246

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:47.097924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102204fa-41aa-49a3-8f5d-736e50321485 · inbound

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Critique Ability of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.774948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.