Paper Citation Record · LEDGER

Thinkless: LLM Learns When to Think

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2505.13379.

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

pith.paper-citation-record.v1
2505.13379 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:36.526564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.951052Z

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 c1f49abb-7da4-47c4-8008-68286d13377b · inbound

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

Implicit Reasoning in Large Language Models: A Comprehensive Survey Thinkless: LLM Learns When to Think

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:36.526564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b052fbbe-70e8-48c3-a101-990c49522374 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Thinkless: LLM Learns When to Think

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.955737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed3392b-55b4-4bb4-84e2-54a430e19043 · inbound

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cites this paper.

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts Thinkless: LLM Learns When to Think

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:42:38.713577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28a8a6f2-cf2c-473d-8eb2-606ec986f069 · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Thinkless: LLM Learns When to Think

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.293067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e8f611a-3ac5-4afd-8c0b-aa806a81f98f · inbound

AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification cites this paper.

AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification Thinkless: LLM Learns When to Think

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T13:51:50.649862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca94dd9-b465-4765-ae7d-c22765a14997 · inbound

Probing the Difficulty Perception Mechanism of Large Language Models cites this paper.

Probing the Difficulty Perception Mechanism of Large Language Models Thinkless: LLM Learns When to Think

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T11:17:47.339495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30502e58-4101-4174-ab32-97238c0d9876 · inbound

MixReasoning: Switching Modes to Think cites this paper.

MixReasoning: Switching Modes to Think Thinkless: LLM Learns When to Think

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T11:16:35.529003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c5c3d1-5b28-40bb-a0d6-0a850f68ae6a · inbound

Rectifying LLM Thought from Lens of Optimization cites this paper.

Rectifying LLM Thought from Lens of Optimization Thinkless: LLM Learns When to Think

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T02:38:53.803631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87ae3283-f0da-420f-b089-ec5dbb03a541 · inbound

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers cites this paper.

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers Thinkless: LLM Learns When to Think

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T11:16:00.360878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2c4434-3505-44c1-ba00-5bedda487da8 · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure Thinkless: LLM Learns When to Think

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:53.202735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1130b5d-0ecd-4eee-b58f-8a9e13aace82 · 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 Thinkless: LLM Learns When to Think

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:44:11.433304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 42201804-09fc-49d4-b13d-f17754432bd8 · 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 Thinkless: LLM Learns When to Think

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:22.412034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f49898b-951b-4d7f-9318-04d2fb1d0a32 · inbound

Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning cites this paper.

Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning Thinkless: LLM Learns When to Think

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T20:44:44.540785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df110d54-c29b-4a9f-8b7f-73924b8abdf2 · inbound

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression cites this paper.

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression Thinkless: LLM Learns When to Think

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:18:01.247867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27b12289-0739-46de-8e32-76732aec461b · inbound

Learning to Interrupt in Language-based Multi-agent Communication cites this paper.

Learning to Interrupt in Language-based Multi-agent Communication Thinkless: LLM Learns When to Think

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:53.825958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23ba1d01-8a16-434a-a672-35a0a99b5740 · inbound

When Less is Enough: Efficient Inference via Collaborative Reasoning cites this paper.

When Less is Enough: Efficient Inference via Collaborative Reasoning Thinkless: LLM Learns When to Think

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:42.578914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0732046b-2927-46aa-9cc6-ea73bb53c093 · inbound

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning cites this paper.

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning Thinkless: LLM Learns When to Think

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:34:40.994678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28ce41e8-a0a0-4d6a-80db-0917324f2e7f · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning Thinkless: LLM Learns When to Think

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:55.923992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b4dd15a-7162-40f7-bc02-d32b33428e20 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL Thinkless: LLM Learns When to Think

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.952467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c98d59f4-8e26-401e-84f8-f3af8e19d670 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL Thinkless: LLM Learns When to Think

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:34:34.893647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ffaa845-bf7a-4845-80b9-3816d5477890 · inbound

When to Plan: Learning to Select Between Reactive Control and Deliberative Planning cites this paper.

When to Plan: Learning to Select Between Reactive Control and Deliberative Planning Thinkless: LLM Learns When to Think

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:04:09.787016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e39b87-e1fb-45dd-968a-7e15bdbab9f5 · inbound

AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning cites this paper.

AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning Thinkless: LLM Learns When to Think

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T17:24:13.842512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.