Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.24863.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:40:59.007507Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:56:30.004384Z
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 bcfad6db-13f4-4948-aeeb-73cc2887acc1 · inbound
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 233
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T01:29:57.372131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3edafc1f-a652-4ff2-90c9-d081221d1493 · inbound
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 221
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:07:46.801109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04a6adae-24d6-484e-821a-7517b539e69a · inbound
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cites this paper.
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:42:38.577012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 09caae37-e7bf-4ff7-b14d-d3b50eff72d5 · inbound
DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference cites this paper.
DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T04:32:23.065413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f759f154-7d45-47c3-9da3-3401b56d78b2 · inbound
Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.
Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 226
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:06:09.141579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 16629ace-445e-46bd-828e-972456121a75 · inbound
Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations cites this paper.
Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:57:42.615891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a1204c21-632d-414a-bba3-c360f13b7e96 · inbound
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling cites this paper.
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:56:30.005998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e218206b-38d0-4b11-a59c-d26d7dd57f99 · inbound
Risky Business: Measuring The Faithfulness-Safety Tension cites this paper.
Risky Business: Measuring The Faithfulness-Safety Tension AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:40:59.007507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.