Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Over-Reasoning and Redundant Calculation of Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.11467.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:12:56.067051Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T06:44:18.987914Z
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 57096745-192e-4f26-b912-43080a973943 · inbound
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models cites this paper.
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models Over-Reasoning and Redundant Calculation of Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:12:56.067051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f088304b-bf5e-4998-aed4-301895d6b26b · inbound
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting cites this paper.
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting Over-Reasoning and Redundant Calculation of Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:12:20.396273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e2be144-6225-4660-9150-a628580d2374 · inbound
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models cites this paper.
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models Over-Reasoning and Redundant Calculation of Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:44:18.989297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.