Paper Citation Record · LEDGER

Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2508.02120.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.02120 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:36.822280Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T07:26:02.902956Z

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 73c53867-ed90-4a11-96e9-11530415ee37 · inbound

Implicit Reasoning in Large Language Models: A Comprehensive Survey cites this paper.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:36.822280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea32913-2cf0-42d9-bb73-d50bbad57cb5 · inbound

DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context Reasoning cites this paper.

DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context Reasoning Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:26:02.905882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fe555f7-f895-4f98-89e1-49c950e53140 · inbound

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation cites this paper.

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:01.541065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1df99555-636c-410d-a6f5-87daa1d502fb · inbound

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:30.176921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 71946a1c-28a5-41e8-a14e-5fefd7293bbe · inbound

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:15:03.198972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed85fd3c-7dc9-4633-9343-ce3e3267df1d · inbound

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills cites this paper.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T16:08:11.853286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.