Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14310.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:20:59.561716Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T19:32:00.925551Z
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 51b60cdc-43d5-4f05-a7ac-d6c5f522cee2 · inbound
Refining Answer Distributions for Improved Large Language Model Reasoning cites this paper.
Refining Answer Distributions for Improved Large Language Model Reasoning Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:20:59.561716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e526498-9f8e-4256-b432-d963e5b72788 · inbound
Computational Experiments in Number Theory cites this paper.
Computational Experiments in Number Theory Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:32:00.927578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8215c6ec-a155-4f22-b504-255119169060 · inbound
Intelligent Drill-Down: Large Language Model-Driven Drill-Down Technique for Human-AI Collaborative Visual Exploration cites this paper.
Intelligent Drill-Down: Large Language Model-Driven Drill-Down Technique for Human-AI Collaborative Visual Exploration Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:41:36.854102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.