Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Not All Tokens Are What You Need In Thinking
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.17827.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:25:23.124002Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T13:44:11.425774Z
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 5f423c25-6211-4fd4-aa83-4bb71a92b2f3 · 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 Not All Tokens Are What You Need In Thinking
Reference 226
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T01:29:57.330059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36df42cd-4a75-44cb-ab4e-994ee5c0c030 · inbound
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Not All Tokens Are What You Need In Thinking
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:44:11.427634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6966de69-b04c-4b94-8a81-eacccd573cda · inbound
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Not All Tokens Are What You Need In Thinking
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:25:23.124002Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 044440a5-8101-4501-a5ed-6da3f061568b · 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 Not All Tokens Are What You Need In Thinking
Reference 249
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:06:09.804123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51a4062c-ef5f-42cc-bb6e-84cdfc178957 · inbound
Stateful Reasoning via Insight Replay cites this paper.
Stateful Reasoning via Insight Replay Not All Tokens Are What You Need In Thinking
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T01:43:27.658246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ecfeb22c-6427-4ea8-9896-2fd0b0ff2418 · inbound
Stateful Reasoning via Insight Replay cites this paper.
Stateful Reasoning via Insight Replay Not All Tokens Are What You Need In Thinking
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T21:39:03.320631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9f0fa1e-3f0a-4606-be62-2d7f1a56da07 · inbound
LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning cites this paper.
LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning Not All Tokens Are What You Need In Thinking
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:48:48.944740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f01dba94-f337-4884-9884-42c8d2ea697f · inbound
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models cites this paper.
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Not All Tokens Are What You Need In Thinking
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:52:44.121978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.