Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.05359.
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 2026-08-07T12:36:12.583347Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e6956d87-1322-4ffa-9ffd-f396439dc520 · inbound
Reasoning Can Hurt the Inductive Abilities of Large Language Models cites this paper.
Reasoning Can Hurt the Inductive Abilities of Large Language Models An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:36:12.583347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5221391-5f63-4641-862e-521d72061c97 · inbound
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Reference 147
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T22:31:21.588377Z
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.
Observation 5ac82073-630f-47fc-bd67-32997bb9c534 · inbound
Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting cites this paper.
Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:59:52.934263Z
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.