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Paper Citation Record · LEDGER

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

As of 21 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 11 inbound Pith citation observations for arXiv:2507.02076.

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

pith.paper-citation-record.v1
2507.02076 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:14.035973Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:41.436053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.816513Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97f59d01-bd30-4303-9026-d00b61e03299 · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs A Survey on Large Language Models for Code Generation

Reference 1

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source=pdf_text observed=2026-08-06T20:43:08.761362Z digest=sha256:184e3181aa308ae46bc738f678047276d41a38cda4d835b627f58817221fb289

Observation d80ce121-b003-4112-aedf-a6c4e8dfb28b · outbound

This paper cites on" setting corresponds to a thinking budget of 24,576 tokens, while.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs on" setting corresponds to a thinking budget of 24,576 tokens, while

Reference 2

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raw_fallback, observed 2026-08-06T20:43:14.461497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:43:14.035973Z digest=sha256:35c8bb06abb46633e34ec6b9c7e63fa00ba1aa13d4ed2002df9cb1cda5af8cfc

Observation 86e3d6dd-907f-407b-8b55-69c05a1fe84f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

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source=pdf_text observed=2026-08-06T20:43:09.135243Z digest=sha256:328dd3a72b2e4ab5ce40be1033712f73da2f8f60a91cdc6615371f86da9e2969

Observation aeafcfda-5083-44af-953e-c65b13b08d91 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 7

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source=pdf_text observed=2026-08-06T20:43:09.297529Z digest=sha256:270fecdd45799487ddff7fa74c8d7253c20eb3c2570a92b212e18ddc7a51951a

Observation f3da6fd9-88b6-4ecc-859c-703397d6bf97 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 9

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source=pdf_text observed=2026-08-06T20:43:09.464477Z digest=sha256:5ff3b0db199874ef0db82230041bf99e991abde521b7a428f1a3125e9bfb0d3e

Observation 5c0c275e-816f-4fe9-92d5-9b3b91d06193 · outbound

This paper cites How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Reference 10

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source=pdf_text observed=2026-08-06T20:43:09.527822Z digest=sha256:65ca0a0d53f27af90affcdee6af3f1bb18dcc187b359a19ec9dee45eef4a70af

Observation 80062928-066b-4bd5-9459-7e2336bebae2 · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Chain of Draft: Thinking Faster by Writing Less

Reference 11

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source=pdf_text observed=2026-08-06T20:43:09.623420Z digest=sha256:425db5dbbc35e27dc73af3ad1a8f5cdf83b4b49a6d9671e234b31a9af3f863f9

Observation 27f35f66-cf46-418a-80c7-54ed7b1e5e67 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 12

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source=pdf_text observed=2026-08-06T20:43:09.677847Z digest=sha256:8476c2a032fd6be5fcf77fce6e7eca9bdc86328339f10b9659c84e75844a6e6d

Observation c1fa2898-b10f-4a14-addc-b4a5e31cc82c · outbound

This paper cites an unresolved cited work.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-06T20:43:09.745508Z digest=sha256:339c32d76301f6e0569b4136ca2e2f0b59bbce72c9e8b84cbda549bad63dd8cb

Observation ec56e8d5-74b1-4aa5-b1f5-ff3c8bdbdef4 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 14

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source=pdf_text observed=2026-08-06T20:43:09.804299Z digest=sha256:05e82767d8ff751549eb7063937795699de2603bdd70f220efcd82a596aab294

Observation d4c14954-7ffb-4d1a-a828-2ee7cd8ce4bd · outbound

This paper cites Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost

Reference 15

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source=pdf_text observed=2026-08-06T20:43:09.869520Z digest=sha256:50b6ebc2a13dfee5f2d1f33a8e34981f72b2bd66a8640e753b18644afe041e07

Observation 186f4172-0b71-4c36-b577-5e3d98d2985a · outbound

This paper cites s1: Simple test-time scaling.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs s1: Simple test-time scaling

Reference 16

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source=pdf_text observed=2026-08-06T20:43:09.920706Z digest=sha256:2677c3a2b0e9e5ce342e3a3720016e03697a38ff3bb320d85f705abafa8d4bbb

Observation 0a69ef1d-ca20-409a-aa5d-cacd4737285f · outbound

This paper cites CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Reference 17

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source=pdf_text observed=2026-08-06T20:43:09.958987Z digest=sha256:cf67e18eb8425fc098358aa8f1ba4b2c544aba7a497e6f66925e8661d8bc5b43

Observation ccfdd36d-26f2-471b-af18-0f05f4ecf18a · outbound

This paper cites Scalable Chain of Thoughts via Elastic Reasoning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Scalable Chain of Thoughts via Elastic Reasoning

Reference 18

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source=pdf_text observed=2026-08-06T20:43:10.016291Z digest=sha256:0124d6c85c4f7e8f95ec8361c7d00044fa4fa4111e6898241f69ef729cf7e466

Observation 7e711825-6ac7-479f-b0ae-689038cc819c · outbound

This paper cites Path-Consistency: Prefix Enhancement for Efficient Inference in LLM.arXiv preprint arXiv:2409.01281,.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Path-Consistency: Prefix Enhancement for Efficient Inference in LLM.arXiv preprint arXiv:2409.01281,

Reference 19

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source=pdf_text observed=2026-08-06T20:43:10.084290Z digest=sha256:3c762aeb71d2af8aa739af942bc79392f70a61477dce8a5aeeed7e69dfe7e0cd

Observation cd31cadc-038b-4d77-bf61-788a293e891a · outbound

This paper cites Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 20

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source=pdf_text observed=2026-08-06T20:43:10.152789Z digest=sha256:533f3766e23ccd83b7ff9967f302bb80ea514cf935e1a66ba8ee408032d593f4

Observation ef5b7085-cc35-4f6c-b1f1-8f8d5fafae89 · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Efficiently Scaling LLM Reasoning with Certaindex

Reference 21

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source=pdf_text observed=2026-08-06T20:43:10.229212Z digest=sha256:ba378d3928b85d3e1556124c9a29d8ae64965c3a495ee92c8fb96d0d1efdc478

Observation 87e5a839-404a-4717-90ad-3c27acf4f4e0 · outbound

This paper cites Dynamic Parallel Tree Search for Efficient LLM Reasoning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 22

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source=pdf_text observed=2026-08-06T20:43:10.273660Z digest=sha256:33a4bb7ca8671c8e0d37ab20b347b2a9043c840d31d75604f101e3564d27ef1f

Observation 2f773857-9d39-4520-8079-189673a25d32 · outbound

This paper cites Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding

Reference 23

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source=pdf_text observed=2026-08-06T20:43:10.315116Z digest=sha256:012b9f431cd7c2f09444fffd160643a1cc453e2ccd8096553dfec099839390d7

Observation 6f3ee461-baab-4b45-9737-855345b9f88c · outbound

This paper cites Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling

Reference 24

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source=pdf_text observed=2026-08-06T20:43:10.362509Z digest=sha256:b162267e858003f46f27ea1823ef96f7e813038cb721e39d95367d25ce2d7a4c

Observation 30fd29c9-404d-46f5-9d34-d6f2248beb88 · outbound

This paper cites Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation

Reference 25

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source=pdf_text observed=2026-08-06T20:43:10.441733Z digest=sha256:36f9140ff0f638f9995bde22b2ce256a02ed6093ffd0817ddd36de0b686c302d

Observation 12a18604-f904-4086-80b3-652a7e821b24 · outbound

This paper cites Efficient Test-Time Scaling via Self-Calibration.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Efficient Test-Time Scaling via Self-Calibration

Reference 26

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source=pdf_text observed=2026-08-06T20:43:10.487393Z digest=sha256:434acec5fb04f3f70b0de02df043691daf3c89d969098e2357b0d8c739af20f6

Observation e50f7959-a515-474c-b644-600be201f4f1 · outbound

This paper cites Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking

Reference 27

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source=pdf_text observed=2026-08-06T20:43:10.550098Z digest=sha256:173377865e9e262a373f992a6acafed3fe03c4add183aae43c82afc777cda59c

Observation 087a7916-5195-44d3-b404-6393ec5f32f2 · outbound

This paper cites Learning Adaptive Parallel Reasoning with Language Models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Learning Adaptive Parallel Reasoning with Language Models

Reference 28

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source=pdf_text observed=2026-08-06T20:43:10.612245Z digest=sha256:59c5c9dffe94a08fc347e6cb1c50ac1355545fac7403a1c2d51855f224d037ac

Observation 8f820d29-5b39-4f73-8a19-f0e9e703d872 · outbound

This paper cites Aytes, Jinheon Baek, and Sung Ju Hwang.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Aytes, Jinheon Baek, and Sung Ju Hwang

Reference 29

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source=pdf_text observed=2026-08-06T20:43:10.659026Z digest=sha256:ab0670985bfeb245671ec329a1ed6ad6122dcc4fd360acddbb84007e675dd6ba

Observation a031feb2-6343-424f-a645-7b04a53d4087 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 30

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source=pdf_text observed=2026-08-06T20:43:10.721707Z digest=sha256:1d79121e615014e518e49392136610228da270311299618cde857c8eb4651e25

Observation 636d64aa-4260-403f-b138-5acc801f305a · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 31

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source=pdf_text observed=2026-08-06T20:43:10.775809Z digest=sha256:04a63de0d9ff77563c4a1677cdf13aade75ed9ad3e2303d7a6535e5eec872d9d

Observation d65f467f-b820-45d0-8b3a-a9b78f6f5868 · outbound

This paper cites C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness

Reference 32

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source=pdf_text observed=2026-08-06T20:43:10.822267Z digest=sha256:4fe33643204a7f8a3ce6ccf19eec69aa66331353ac47442d855a33acd28be50f

Observation cac35caa-48ac-4387-a62c-cc1b0ddcc02d · outbound

This paper cites Z1: Efficient Test-time Scaling with Code.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Z1: Efficient Test-time Scaling with Code

Reference 33

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source=pdf_text observed=2026-08-06T20:43:10.876259Z digest=sha256:f174d8353ffc4839bd3cab19bf544898518b0b3de7369041bca6989ed82f1eda

Observation 39542602-6445-4595-8bf8-8aea9305df13 · outbound

This paper cites Distilling System 2 into System 1.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Distilling System 2 into System 1

Reference 34

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source=pdf_text observed=2026-08-06T20:43:10.962760Z digest=sha256:bc993e72ad5e2a79ba3cd600441c1fbcab850cd383fc17b4aecb5c86363e672a

Observation bfb63d2a-a5c9-4887-8216-1dcd13bda5ed · outbound

This paper cites Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning

Reference 35

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source=pdf_text observed=2026-08-06T20:43:10.966932Z digest=sha256:d504b067ab6c99b98c5c22edd53ac427c7e61ff28fd07c5ec038d5430ff46c10

Observation 940832f4-6610-434e-a01d-26b89129ce53 · outbound

This paper cites SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Reference 36

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source=pdf_text observed=2026-08-06T20:43:10.970286Z digest=sha256:f0f6b6bcb8a1d78126853ed16a6609e367d83ec8f10ac3b45ac98314ab755b09

Observation f8fba156-355d-497a-b1dd-50d650a65220 · outbound

This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 37

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source=pdf_text observed=2026-08-06T20:43:11.003540Z digest=sha256:3a96f84be4dff6c5470c9bbe0db0e7cd9478d0a383cbb76ca0ed549fc4ea961f

Observation c64a2784-9bfb-4a16-81b1-094284f2c1d3 · outbound

This paper cites Dast: Difficulty-adaptive slow-thinking for large reasoning models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Dast: Difficulty-adaptive slow-thinking for large reasoning models

Reference 38

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source=pdf_text observed=2026-08-06T20:43:11.053673Z digest=sha256:efadb7ab1b46309e6aa5c2b7848f80efe63726463f6f23b3686dadcdba6a8280

Observation 016d3f15-43cc-47f7-9ab4-f0a4e79ab472 · outbound

This paper cites Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization

Reference 39

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source=pdf_text observed=2026-08-06T20:43:11.127950Z digest=sha256:3b7d4a932800417ebea4f1a7ab560c3ba401f430e48f8feb391bd040dcdd3d59

Observation 45f3e798-c635-4d6e-b844-b006fe003d35 · outbound

This paper cites Iterative Deepening Sampling as Efficient Test-Time Scaling.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Iterative Deepening Sampling as Efficient Test-Time Scaling

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:11.199591Z digest=sha256:c16645c6b21d5d5751f291cf15076190b9ca1f79ae634941122555276b98504a

Observation 8066ae76-a501-41c5-b356-8209946de9bd · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Training Verifiers to Solve Math Word Problems

Reference 41

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source=pdf_text observed=2026-08-06T20:43:11.273137Z digest=sha256:bfe81562823a4526979c8e9315d276e56cb08ed7e2969432a8f29e462cddb0ce

Observation 87bdfa46-2020-4bb4-b3b9-09b422e80d5a · outbound

This paper cites Let llms break free from overthinking via self-braking tuning.arXiv preprint arXiv:2505.14604,.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Let llms break free from overthinking via self-braking tuning.arXiv preprint arXiv:2505.14604,

Reference 43

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source=pdf_text observed=2026-08-06T20:43:11.479606Z digest=sha256:8c8427556c1dc79784b4aae3a481883b9179991e7d2de96c840360649d429879

Observation 24b9dd8e-c2af-4876-a4d0-47fe83c59cac · outbound

This paper cites Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 44

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source=pdf_text observed=2026-08-06T20:43:11.584022Z digest=sha256:3c25431c2c27efc80b55d8ec96683ac9d8833be0e6b97a91872bb5c69e1162e6

Observation 09f71da1-e222-47fe-92fa-80ff561f1849 · outbound

This paper cites Lightthinker: Thinking step-by-step compression.arXiv preprint arXiv:2502.15589, 2025b.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Lightthinker: Thinking step-by-step compression.arXiv preprint arXiv:2502.15589, 2025b

Reference 45

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source=pdf_text observed=2026-08-06T20:43:11.724669Z digest=sha256:79e127457fb0667fd8c347d95e1332c2228447a54eb314678ffb95f2499ad6a6

Observation 0594972e-5cc6-4ebe-8925-f9bf4810b1d7 · outbound

This paper cites Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking

Reference 46

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source=pdf_text observed=2026-08-06T20:43:11.853423Z digest=sha256:099ee881aa98fcffb512b910ba984d5d509c25bebc1f222523363ddb43757746

Observation a892dcce-a0ce-4d20-ac7f-b1ce29ef605d · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 47

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no resolver link, observed 2026-08-06T20:43:12.002417Z

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source=pdf_text observed=2026-08-06T20:43:12.002417Z digest=sha256:8a013ea82499f6aed85bb1eac845c1abf1b1b5cdb7972e12555aa460739dc99a

Observation aef5b66e-6ac9-4285-a535-cc65d7772db1 · outbound

This paper cites Adaptive Deep Reasoning: Triggering Deep Thinking When Needed.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Adaptive Deep Reasoning: Triggering Deep Thinking When Needed

Reference 48

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no resolver link, observed 2026-08-06T20:43:12.153392Z

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source=pdf_text observed=2026-08-06T20:43:12.153392Z digest=sha256:9a857daf8338228f298b1c7813ae9f987663a6d328ed09be2e25cb572bf31b2b

Observation c41f67a0-fe79-4bca-9907-9f73f0e44bcb · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Understanding R1-Zero-Like Training: A Critical Perspective

Reference 49

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no resolver link, observed 2026-08-06T20:43:12.286981Z

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source=pdf_text observed=2026-08-06T20:43:12.286981Z digest=sha256:77c5c5b702911ae3f37e8a3ebad7009f36ae61f25ad64aa175ad4a56d672d4ac

Observation b590812f-183d-40be-a2c5-8e2889bf90cc · outbound

This paper cites Demystifying long chain-of-thought reasoning in LLMs.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Demystifying long chain-of-thought reasoning in LLMs

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-06T20:43:16.002998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:43:12.434319Z digest=sha256:fb924716f31e542d4aafd7cfc134c91d06c330f716e136fd10736ec109ef95ed

Observation b7e9225e-7221-469c-b540-fcaf5c94295f · outbound

This paper cites Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 51

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no resolver link, observed 2026-08-06T20:43:12.588405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:12.588405Z digest=sha256:407fc439857c02fab05d8ab306d5a80e01bd29fc7c3e5e6ee065ca6f5eb01c13

Observation 71209fe2-95cf-41bb-be7a-ff23c247811c · outbound

This paper cites Large Language Diffusion Models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Large Language Diffusion Models

Reference 52

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no resolver link, observed 2026-08-06T20:43:12.709763Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:12.709763Z digest=sha256:f8325e8ca6a3a0eacf0ebfd2fdba94141acd61e9fba5d74eae2f5bf22259692c

Observation 8b71f0bb-bec7-4369-a61e-205807feb636 · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 53

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source=pdf_text observed=2026-08-06T20:43:12.871809Z digest=sha256:3b51d4ade6c56879f34fe5a3ced59639471c388d20c6f3e1cc39cc4c6793cf49

Observation 6a658c94-e32f-4094-9187-726e12e341ba · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 54

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no resolver link, observed 2026-08-06T20:43:13.000062Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:13.000062Z digest=sha256:da53e1ebc91d56975f6b9c1d727316146c02d6e088b11430b9b33d32adb800ed

Observation 4f8397e1-bfd0-4c07-b375-56ac86a7284b · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 55

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no resolver link, observed 2026-08-06T20:43:13.109252Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:13.109252Z digest=sha256:78b93f82c9f6c21f17d345c84f81f098169e8a8a79c2781f49a07a58fe5956f4

Observation 6af19083-4476-41ec-9c25-8ae61921f423 · outbound

This paper cites Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 56

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no resolver link, observed 2026-08-06T20:43:13.212648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:13.212648Z digest=sha256:8e9395ae274a6a1ceec060eac6f5287c031b94af0b9ca3143129688025541a2d

Observation a20c72f3-589a-4fa7-b6bf-b5d8e0f65fde · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 57

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no resolver link, observed 2026-08-06T20:43:13.323509Z

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source=pdf_text observed=2026-08-06T20:43:13.323509Z digest=sha256:030684576e0a6675856c2c8729aeef217b9ee108497e37577d57f27efc64e79e

Observation 1cdcb4a9-eefe-49aa-978a-fa6314d6cd46 · outbound

This paper cites CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting

Reference 58

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no resolver link, observed 2026-08-06T20:43:13.460364Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:13.460364Z digest=sha256:c5f0132efda2b35f6f741bef18c8389423be66ea8eaf21d4c0c68acb2236450c

Observation bc49ccde-88c8-4ed1-b4ff-9100b2f23119 · outbound

This paper cites LLM4drive: A survey of large language models for autonomous driving.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs LLM4drive: A survey of large language models for autonomous driving

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:43:15.776122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:43:13.596342Z digest=sha256:9a5c5465660cd73f038e5d6b2bda81f436191ddd7d11f0015e34c35df9416082

Observation 62107ada-80c0-414b-bf1d-7ec068568403 · outbound

This paper cites Robotic Control via Embodied Chain-of-Thought Reasoning.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Robotic Control via Embodied Chain-of-Thought Reasoning

Reference 60

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no resolver link, observed 2026-08-06T20:43:13.735340Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:43:13.735340Z digest=sha256:0dd28ddef573f59a999bc81954fbd5ef2a4cd9e0560ee288272b015bf9d0f5b4

Observation a90c5221-dfc2-42f2-9c20-51b77e29fbc6 · outbound

This paper cites Distilling Multi-modal Large Language Models for Autonomous Driving.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 61

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no resolver link, observed 2026-08-06T20:43:13.874387Z

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source=pdf_text observed=2026-08-06T20:43:13.874387Z digest=sha256:8bfe5896ffe3fd7ad338ff6be54dc9937abce08dcfab31136924cedb08bfd04f

Observation 1f2cf374-a765-4949-a173-7dfa9852b306 · outbound

This paper cites Scaling Laws for Neural Language Models.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Scaling Laws for Neural Language Models

Reference 2020

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no resolver link, observed 2026-08-06T20:43:08.973715Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:08.973715Z digest=sha256:ddbcee1fdc1c07de0010d057ed62f42e517b2ebc76501b54eefcba53a1e950fb

Observation 19d5599b-be23-49fd-9f3b-148432ac69ae · outbound

This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 2021

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no resolver link, observed 2026-08-06T20:43:11.344018Z

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source=pdf_text observed=2026-08-06T20:43:11.344018Z digest=sha256:f4f7816a4aa55a1e2c65821b8c492dcb600278b86647ad6dd661f6910126c4fa

Observation 54cafa12-b74f-43e3-9ae7-2df4c5fbc3fe · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2022

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no resolver link, observed 2026-08-06T20:43:09.225380Z

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source=pdf_text observed=2026-08-06T20:43:09.225380Z digest=sha256:141862dbdc8a22e1566e4b33cf3750cf0fd7a9593a74c52d19e4f84035e3e968

Observation 712c1d75-968f-4bef-8ca5-3a0ee74d6cfa · outbound

This paper cites FastMCTS: A Simple Sampling Strategy for Data Synthesis.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs FastMCTS: A Simple Sampling Strategy for Data Synthesis

Reference 2023

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no resolver link, observed 2026-08-06T20:43:09.074721Z

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source=pdf_text observed=2026-08-06T20:43:09.074721Z digest=sha256:3b0a22c44bab1de711462fe149978fd9a7ce96e3345dc9eb338f92fa24a98cb3

Observation 9acab96e-46d3-4dc3-a947-9b01db42f415 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 2024

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no resolver link, observed 2026-08-06T20:43:08.851463Z

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source=pdf_text observed=2026-08-06T20:43:08.851463Z digest=sha256:1b9e25768e98957fe7f70195bf2f00675bd9f2ec937d3d45d25b7400e1769282

Observation 205ee521-e4d2-4baf-ace6-10344429b8f8 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 2025

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no resolver link, observed 2026-08-06T20:43:09.389403Z

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source=pdf_text observed=2026-08-06T20:43:09.389403Z digest=sha256:9a5d1ff43923c45dcbe32dd19d7005ff00612a4af1fbe1275db09dad8c495c24

Pith citing papers

Observation 5ecd0787-4ef1-4047-901f-709a2efeba2a · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 11

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verified exact
arxiv_id, observed 2026-05-12T08:40:41.306422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:616006202ec6c3942229831ddd9c5c47780be2c094f441bde131060670c5d5d9

Observation 71c0072f-ab49-48f3-8486-0ac8865522ee · 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 Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 7

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no resolver link, observed 2026-08-06T17:53:41.436053Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:41.436053Z digest=sha256:eaf9c1fde3a9eed03774292e1f786a65b2bcecb624f8d3a2ecae36a502cef5e6

Observation a621ebbc-27c2-40d2-a369-2f58274ed11d · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 30

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no resolver link, observed 2026-07-13T23:28:12.790404Z

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source=pdf_text observed=2026-07-13T23:28:12.790404Z digest=sha256:7b26c209bc1f46ec549ddb8057f0e85bf86df1a292c2783fbaae8054f602089a

Observation 4f7159f5-d5ca-4da8-a1fe-9bbd642afe20 · inbound

Stream-T1: Test-Time Scaling for Streaming Video Generation cites this paper.

Stream-T1: Test-Time Scaling for Streaming Video Generation Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:39.447330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T18:16:14.985693Z digest=sha256:28717563e676f87dfbf4fcf45abb9a022a3cad17c4ca038cb25044328e3f594a

Observation a17cc85f-a316-4bef-adcc-640fb215f5ba · inbound

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training cites this paper.

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T04:35:59.813805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:12:20.864362Z digest=sha256:2461f58f371989d22a76e2a0805730e09830f22d89161727e34a6bdddecc3afd

Observation 860fe285-77cf-43cf-a159-9aa984cb7422 · inbound

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation cites this paper.

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.319201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T06:40:12.178170Z digest=sha256:475d0975f364c78659ad1fb6c202a6ed894fb13aa1c1d68d6410a66fd67d76b1

Observation 3b277870-b69e-4a7a-bda4-8acbbdb1e1cd · inbound

DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models cites this paper.

DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:39:45.818180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T08:35:36.580490Z digest=sha256:6246daa37c1f1bf6e3eac9c0909876a3953560b5accf868f2c68fd9ac4f36a5f

Observation 9fa708e6-2395-4fce-9cf7-227078a9fdb2 · inbound

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility cites this paper.

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 3

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unresolved
no resolver link, observed 2026-07-30T19:53:04.470253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T19:53:04.470253Z digest=sha256:334bdbd9ecfa828f61d36b0ee5005ace21713f8bab44b1438572e86f36d8347d

Observation 4db737b8-317e-49a0-bf67-5fad7ede9a83 · inbound

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility cites this paper.

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 3

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unresolved
no resolver link, observed 2026-08-01T10:47:32.732851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:47:32.732851Z digest=sha256:72d48cbbdd17e413ce2ec54d415885c0d012778313fb5eb410c49003cf7f0da7

Observation ee9e0a6d-5632-4b70-9f7f-05d75de5abf2 · inbound

ARES: Adaptive Reasoning-Effort Steering for PPA- and Cost-Aware RTL Optimization with LLM Agents cites this paper.

ARES: Adaptive Reasoning-Effort Steering for PPA- and Cost-Aware RTL Optimization with LLM Agents Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T23:48:03.164747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:48:03.164747Z digest=sha256:63641859406b8dc3476d25e8860fae6cb99bdf5769652e7c385bb53adcece46e

Observation a825b8a0-ae52-4f03-be07-a13e398d6c2e · inbound

SVR: Self-Verifying Refinement via Joint Verdict-Confidence Reinforcement Learning for Adaptive Test-Time Compute cites this paper.

SVR: Self-Verifying Refinement via Joint Verdict-Confidence Reinforcement Learning for Adaptive Test-Time Compute Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T06:48:41.240335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:48:41.240335Z digest=sha256:77288d05c73277c2d0d2585f252f207f72f96fa58f778bd0c751aa491d20f484