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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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.

source=pdf_text observed=2026-08-05T11:39:36.822280Z digest=sha256:c417ccb27416ef79bf73b59e5c686f5887fa19fad69786ef87307a612f06c5c9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T07:25:56.953876Z digest=sha256:7e83b97896125e6eaf6ed888e031cec79548cb8c1f4b2794da54e74cf173f1a1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:01:13.350219Z digest=sha256:5a46ca3e831e27d46335976a37551b26b2e5707045cccca75e44032bc7db142c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:51:52.375703Z digest=sha256:acf0b2bdc669dcec50db638e0930cb0b2b3465f8e8001fc1d166cdc06111319f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T05:11:32.053440Z digest=sha256:baa6fd31e0c005e52f1beb02a3ae5ceaf067bb0252970d276e04d44f06fdfd4b

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.

source=arxiv_source observed=2026-08-02T16:08:11.853286Z digest=sha256:d384e20e193be916cc696873364d485cf5da8bb2d48a899eb6a5c4bc8387900a