Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.13339.
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 2026-08-07T05:14:47.502844Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:56:15.167609Z
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 fc9bcd51-9b6a-45ef-9940-0bba359c9a5f · inbound
A Survey on Large Language Models for Mathematical Reasoning cites this paper.
A Survey on Large Language Models for Mathematical Reasoning Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:47.502844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 870e82b6-3cad-420d-98c5-439f1251ea03 · inbound
Logic-Guided Socially-aware Robot Navigation World Model cites this paper.
Logic-Guided Socially-aware Robot Navigation World Model Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:54:09.160946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e9470a3-4492-470a-91a1-62fd78115aff · inbound
Can we trust LLM Self-Explanations for Entity Resolution? cites this paper.
Can we trust LLM Self-Explanations for Entity Resolution? Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:56:15.168919Z
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.