Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.13626.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:47.648989Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T13:23:28.417783Z
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 2e861286-df0e-46ba-81ff-33c224f1fb8b · inbound
When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning cites this paper.
When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:47.648989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e799694-dc68-4695-bd2a-55aeef562691 · inbound
VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.
VeriThinker: Learning to Verify Makes Reasoning Model Efficient Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:42:13.064983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb316e4b-aed5-4634-a520-c972fbdd79bb · inbound
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models cites this paper.
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:43.812067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc8023bd-de73-409c-8c8e-e07dfd953faf · inbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 120
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:54:17.369477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83145d73-9036-4be5-ae10-fba891a39060 · inbound
Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity cites this paper.
Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:25:54.870636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 403a28b3-038e-4c8a-8817-b741543d3f14 · inbound
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards cites this paper.
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:40:17.733188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 32f8fc20-b427-4529-a6ee-72e133f391af · inbound
Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning cites this paper.
Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T13:23:28.419214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.