Paper Citation Record · LEDGER

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2308.00436.

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

pith.paper-citation-record.v1
2308.00436 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:21:21.815399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:32:44.141882Z

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 0e837d28-bad0-4b0c-a1f2-b45ca36ebb8c · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 193

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:46.222821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 38dcbf99-1582-4781-b99f-9986dc30edf1 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:06:50.409824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46e09913-0d9e-4aa5-b7d5-7881ad19b495 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 222

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.809338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e402d76-4edb-4091-8121-0de4d404c0bc · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 225

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:36:24.353297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f232e0bd-caa4-42ea-941f-10928430d000 · inbound

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference cites this paper.

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T20:21:21.815399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54fef558-5377-49d7-b80b-18e1e2a046a8 · inbound

ReMedi: Reasoner for Medical Clinical Prediction cites this paper.

ReMedi: Reasoner for Medical Clinical Prediction SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:06.018535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 85a09185-04ef-46eb-8b4c-252abddade3a · inbound

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning cites this paper.

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:37.377658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2fd8b03d-6929-49a7-9060-ad9d60e770b6 · inbound

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems cites this paper.

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:27.529436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2369fa24-1d32-4f0a-a595-b17acd3afbe8 · inbound

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems cites this paper.

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:25:03.851275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b0b5e31-f5cd-450c-b036-1d7e88de0909 · inbound

Scalable Token-Level Hallucination Detection in Large Language Models cites this paper.

Scalable Token-Level Hallucination Detection in Large Language Models SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.379615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc76b331-db08-4ae1-9581-d981ca6f5540 · inbound

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation cites this paper.

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.143341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb6e3098-75a2-4ff6-ac78-20a386c36644 · inbound

Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs cites this paper.

Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:52:35.482916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 94c17467-d6c8-48e8-8adb-279432afb72f · inbound

Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs cites this paper.

Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T07:46:18.094867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa6d392-98c8-4243-9a3b-637d26879f03 · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 214

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e255b79c-4dc2-48a3-ae0b-a520e5f64046 · inbound

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification cites this paper.

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T19:46:59.475358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdd39e5-693e-4429-b245-b151e34af687 · inbound

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series cites this paper.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:24.501118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.