Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Iteratively Prompt Pre-trained Language Models for Chain of Thought
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.08383.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:46.877533Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T03:01:18.771111Z
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 65f3e038-b85a-4f19-bad6-adc47acf9889 · inbound
Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models cites this paper.
Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models Iteratively Prompt Pre-trained Language Models for Chain of Thought
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:03:46.877533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9616a600-e4e8-4409-a2a2-3f4bf75cf708 · inbound
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering cites this paper.
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering Iteratively Prompt Pre-trained Language Models for Chain of Thought
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:09:36.843396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cddbd040-5f95-4b5a-b4eb-bc96c7469bb4 · inbound
OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.
OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Iteratively Prompt Pre-trained Language Models for Chain of Thought
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:01:18.772797Z
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.