Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.20339.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-07T13:58:36.285389Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation a9ea3fe3-3c78-41a9-84cb-fcfdc12c99e8 · inbound
Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a899b0a-ddf2-4b4d-925a-6af2c1f3fde8 · inbound
Kinetics: Rethinking Test-Time Scaling Laws Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8672c6f-2656-4a01-b1a5-7f99b419da35 · inbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 144
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c767df98-3354-47c3-8098-fc29674c8615 · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 106
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 e8094d3a-8494-4fa8-a698-fc0581b6540a · inbound
Morphing into Hybrid Attention Models Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 42
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 af096754-c3b6-4507-be41-b5f893d81905 · inbound
Raven: High-Recall Sequence Modeling with Sparse Memory Routing Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 144c04ea-677e-4c8d-b995-b7a531e3ebed · inbound
Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.