Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.16315.
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 2026-08-06T17:53:43.511503Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T18:02:27.343921Z
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 3c4525fe-af41-4fa9-babb-cba72c3fbd0c · 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 Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T01:29:57.520620Z
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 43790c91-5fa8-4bce-bc02-1aa8b6fb833a · 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 Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:53:43.511503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82e4c9ce-b853-4b1c-a4c7-d729b8a64fd5 · inbound
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:43:53.034813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4abc1421-51de-4d05-8a8f-4dcea382e645 · 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 Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Reference 246
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:06:09.794099Z
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 6c760e19-6127-4138-9599-611d73c04bdd · inbound
ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks cites this paper.
ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T18:02:27.345616Z
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.