Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.11657.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:03:20.962944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T01:49:29.029984Z
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 242af159-68a0-4836-8d6d-cdd13f3e0197 · inbound
Reasoning with Language Model is Planning with World Model cites this paper.
Reasoning with Language Model is Planning with World Model Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:49:29.032219Z
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 05e6d011-fe76-4f8b-a857-43c1133fbd7e · inbound
Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents cites this paper.
Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:03:20.962944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93395eef-d69d-4f79-bf21-b43314dacaa7 · inbound
Embodied CoT Distillation From LLM To Off-the-shelf Agents cites this paper.
Embodied CoT Distillation From LLM To Off-the-shelf Agents Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:56:14.693770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.