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Paper Citation Record · LEDGER

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 13 inbound Pith citation observations for arXiv:2509.04475.

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

pith.paper-citation-record.v1
2509.04475 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:52:07.851495Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:54:17.008295Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c07cef73-8652-467e-a54e-69f34d662eaa · outbound

This paper cites write newline.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute write newline

Reference 1

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source=arxiv_source observed=2026-08-05T13:52:03.326862Z digest=sha256:65af38f9c7cbc348a92089c04e520e9c446c23be59411332725ec9520a33c5ac

Observation e7ba8d2a-7aeb-4913-944e-38ba2b373775 · outbound

This paper cites Block diffusion: Interpolating between autoregressive and diffusion language models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Block diffusion: Interpolating between autoregressive and diffusion language models

Reference 2

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source=arxiv_source observed=2026-08-05T13:52:03.377348Z digest=sha256:76017a3803a708c4652079a525330fe3ce5402429ef50cbd76a5344af2b95836

Observation 71f089d3-43ec-4d54-809b-6cdc057ccebb · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Accelerating Large Language Model Decoding with Speculative Sampling

Reference 3

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source=arxiv_source observed=2026-08-05T13:52:03.442281Z digest=sha256:ae9fb5958fbe4f75a882c3924e561173a3f104f6aac50e34e9a006f4fab1e0f6

Observation cb695a11-ea30-4960-a922-78a07b2d6192 · outbound

This paper cites Are more llm calls all you need? towards the scaling properties of compound ai systems.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Are more llm calls all you need? towards the scaling properties of compound ai systems

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:03.534465Z digest=sha256:fd393324d8da0b9d1c8786d2aafe732985e37f0e11120e5583e53b14d2dc0e4a

Observation a8464fe0-7b75-4f41-a026-6aa7729b5837 · outbound

This paper cites Parallel Scaling Law for Language Models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Parallel Scaling Law for Language Models

Reference 5

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source=arxiv_source observed=2026-08-05T13:52:03.639253Z digest=sha256:fe60537f2ed5bcc685ff1a95e6b7bb9bd4c25e0847a22da08ca7f9db3fd53f21

Observation d1937aa9-1de8-47c0-b7f9-1583b02da7fe · outbound

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

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 6

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source=arxiv_source observed=2026-08-05T13:52:03.703344Z digest=sha256:9b5c4c47199b8ff80d1656b206787405ba1d7b2e8ad1d58eb9239606c2e70171

Observation 51d677a1-92e0-4a73-9c73-839c20f32cf2 · outbound

This paper cites Premise order matters in reasoning with large language models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Premise order matters in reasoning with large language models

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:03.818265Z digest=sha256:4c493fe5f7e00b32566d83222e8a834d5d7e0f065e72d7785fc1e15d8cb926c4

Observation e7aa4903-f407-4b2d-9868-8ebe4318f2a2 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 8

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source=arxiv_source observed=2026-08-05T13:52:03.922005Z digest=sha256:df9603e972c4e0d67f5873894f2f771fc92969a5951dd33e308379575168f0ae

Observation 869c39e0-bffa-4281-91e3-3e23484389be · outbound

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

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=arxiv_source observed=2026-08-05T13:52:03.984821Z digest=sha256:1a86c8e9c8d53c742406d3c1f17febdb34471ed5fd5eee38829ad756dc64f5f2

Observation dab03832-e741-45b1-9dde-634b53f91162 · outbound

This paper cites Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

Reference 10

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source=arxiv_source observed=2026-08-05T13:52:04.044407Z digest=sha256:fd53fd4bbf8f0dd79e01f446462997ce685fa8d5431f872f9dc4a5bca0c3a38b

Observation 532ae6df-95f8-46fe-828b-d3186996a125 · outbound

This paper cites Theoretical Benefit and Limitation of Diffusion Language Model.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Theoretical Benefit and Limitation of Diffusion Language Model

Reference 11

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source=arxiv_source observed=2026-08-05T13:52:04.105363Z digest=sha256:1f64994f4096bed298f042b29b3c2c44f0b4c9da1e87ab074069532b7b49ab14

Observation 3c98c3e7-4ca5-4d0f-b22e-f810acc563b9 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 12

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source=arxiv_source observed=2026-08-05T13:52:04.170634Z digest=sha256:3aa6ce44634272a645388774912ec69c1b02c8d5b102e34554357eb66442f016

Observation 7c52f26e-16d1-402c-ba69-5c584f72716e · outbound

This paper cites Does thinking more always help? understanding test-time scaling in reasoning models, 2025.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Does thinking more always help? understanding test-time scaling in reasoning models, 2025

Reference 13

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source=arxiv_source observed=2026-08-05T13:52:04.242257Z digest=sha256:6a33ae83805ecc877bb00b5f7a3dbfeee3f7def91c728c910617bb016245d0cd

Observation f328a932-66e9-4eda-80f0-9cda928262cb · outbound

This paper cites Gemini 2.5: Our most intelligent ai model.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Gemini 2.5: Our most intelligent ai model

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:04.331703Z digest=sha256:98145095cd42fa6afefcb35cca6a173fff10c7f119630d3b42996f9ae9b8917d

Observation 255eb9be-145d-4f37-a01e-831da3972f87 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 15

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source=arxiv_source observed=2026-08-05T13:52:04.430116Z digest=sha256:e4544618452f42bfc2d0782e2d6ce9def2ebe5bf6b8d7e1de00e72dd0261ffa3

Observation 413d1b05-f14b-4a2b-9dd4-d14ecb56593a · outbound

This paper cites D iffusion BERT : Improving generative masked language models with diffusion models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute D iffusion BERT : Improving generative masked language models with diffusion models

Reference 16

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Observation fb896b64-8511-4fd6-92de-617abf3f5f71 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 17

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source=arxiv_source observed=2026-08-05T13:52:04.598746Z digest=sha256:1d18124ad4c127635afa58fba016ef061e74f639a66e89459bb1486fb2331c38

Observation b8c253fb-e78b-4a39-b1c6-567dd101d7e1 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Measuring mathematical problem solving with the math dataset

Reference 18

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source=arxiv_source observed=2026-08-05T13:52:04.672505Z digest=sha256:74e9272fa770a974dba47dd44415d2d2130c697384d1bdc5becd7c872455303f

Observation a539218b-23f8-440b-ab44-57e8eb6a24fc · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 19

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source=arxiv_source observed=2026-08-05T13:52:04.728289Z digest=sha256:394efeef78b16f2b28f856500a4beffee7782c260a71ecbefeff487b0a0c852e

Observation e57c5fa2-f9dc-42fc-b27d-79d250f9587c · outbound

This paper cites Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding

Reference 20

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source=arxiv_source observed=2026-08-05T13:52:04.807208Z digest=sha256:7a7dbdd6efe802dd1d256cd1e11760a0ea50dba7ad30b6e550873428867e951f

Observation fd2d70ef-9ec9-4ad2-84c8-d4d726b96431 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Gonzalez, Hao Zhang, and Ion Stoica

Reference 21

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source=arxiv_source observed=2026-08-05T13:52:04.892335Z digest=sha256:b536cd1161dd481a0efface421bf57dc01aab0754e190ffa504f4137cc0dea59

Observation 72747678-c967-4913-95db-40ae88260b5f · outbound

This paper cites Bespoke-stratos: The unreasonable effectiveness of reasoning distillation.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Bespoke-stratos: The unreasonable effectiveness of reasoning distillation

Reference 22

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source=arxiv_source observed=2026-08-05T13:52:04.972376Z digest=sha256:36e39d61e6524cff50e604ac227f35981b49387fd39f79972caf2d916c5b0b42

Observation 6bcb78ef-18dc-49d0-91a4-43283df2a375 · outbound

This paper cites Fast inference from transformers via speculative decoding.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Fast inference from transformers via speculative decoding

Reference 23

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Observation 1e41e1d2-c56c-42f1-83c8-3849a2d9283a · outbound

This paper cites SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Reference 24

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source=arxiv_source observed=2026-08-05T13:52:05.118404Z digest=sha256:130e4d65da570ec633e062afd8904fa157bdca4862ff7981b327bb35c7804944

Observation be75a982-7247-4552-b3e8-e9e1bb954191 · outbound

This paper cites Let's Verify Step by Step.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Let's Verify Step by Step

Reference 25

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source=arxiv_source observed=2026-08-05T13:52:05.202196Z digest=sha256:13c7080630971831f85f919133c00381a534d3e2e46350dbb409deaa832665e9

Observation 6fb51125-5060-4e61-a25d-8f543a825350 · outbound

This paper cites s1: Simple test-time scaling.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute s1: Simple test-time scaling

Reference 26

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source=arxiv_source observed=2026-08-05T13:52:05.288205Z digest=sha256:576b3a94cbd7fa5bfa142e7dbe05f59c3f4354aa7751f7b5be3011833eb60422

Observation 37704231-f2ea-40b1-867f-509cff6bd48f · outbound

This paper cites OpenAI o1 System Card.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute OpenAI o1 System Card

Reference 27

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source=arxiv_source observed=2026-08-05T13:52:05.374761Z digest=sha256:444495c1856679de2ce0925b0c7fe8c781a0d9667d9c2077878663b2bf1d8a86

Observation 38ab116b-063d-4639-8f61-2ddf965a2e17 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute gpt-oss-120b & gpt-oss-20b Model Card

Reference 28

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source=arxiv_source observed=2026-08-05T13:52:05.460328Z digest=sha256:0bb076b85463a711a3e1bad3da6ffa359da1050ca07a6dbebdf4bc5574a2dc81

Observation c9001b59-ee10-413b-ac5c-d623503dfb07 · outbound

This paper cites Learning Adaptive Parallel Reasoning with Language Models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Learning Adaptive Parallel Reasoning with Language Models

Reference 29

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source=arxiv_source observed=2026-08-05T13:52:05.548609Z digest=sha256:3ee25f6220139d2c920b359eac8c979088e7a675bd74a83962c033bb7c06b1f9

Observation e64e6bbe-f122-488d-8d5f-f6a0be7902ff · outbound

This paper cites Safety alignment should be made more than just a few tokens deep.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Safety alignment should be made more than just a few tokens deep

Reference 30

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:05.636148Z digest=sha256:b82bfa60eb9d499b8e6d31286ce8f2c62a9f5d71d77dd173d1687db5cf0f3a89

Observation dd9fa6fe-b7a2-425b-a0b9-596688c4bcad · outbound

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

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 31

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source=arxiv_source observed=2026-08-05T13:52:05.726613Z digest=sha256:4e51d6a37157002f1ced954ff99dd9c57f33a168dd8cfcef08cd98cd8182f884

Observation 4b6dd903-9af7-4f11-87d6-f6a02457e078 · outbound

This paper cites Qwen2.5 Technical Report.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Qwen2.5 Technical Report

Reference 32

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source=arxiv_source observed=2026-08-05T13:52:05.805190Z digest=sha256:ec159c9cf1396d9e114cba294b814ac7d8864d06bf692d20e58213c8341299f0

Observation 77173dec-c103-480e-9f4f-3af5817699df · outbound

This paper cites Hogwild! inference: Parallel llm generation via concurrent attention, 2025.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Hogwild! inference: Parallel llm generation via concurrent attention, 2025

Reference 33

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source=arxiv_source observed=2026-08-05T13:52:05.893683Z digest=sha256:cfe7dd3a13ef10a72ac1fa4b1135ff6d714309fd2c27f6870412727039e47e77

Observation c9e1f980-13bf-4b59-a29f-d0bedeaf65d9 · outbound

This paper cites Magicdec: Breaking the latency-throughput tradeoff for long context generation with speculative decoding.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Magicdec: Breaking the latency-throughput tradeoff for long context generation with speculative decoding

Reference 34

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:05.972232Z digest=sha256:9524add9b34a9a1a33daef9121f0236d291309340ebaf8941eaefcd6858d4fc8

Observation c36c7d1b-3d52-4ae0-9958-5259d80809d4 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

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source=arxiv_source observed=2026-08-05T13:52:06.056796Z digest=sha256:6ebf18a23e5c8287ea0184614fe752aead2888178b6db13b83568132fdb605c1

Observation b0366515-a525-4523-97a9-e45a2293f399 · outbound

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

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:06.144473Z digest=sha256:033716ded19b839ca604a29515dfbb968794c0ca107f3a6fc398e178a688a209

Observation 535f16f8-64f0-44e6-8373-2e288b7debea · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Roformer: Enhanced transformer with rotary position embedding

Reference 37

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source=arxiv_source observed=2026-08-05T13:52:06.239892Z digest=sha256:abe660fa4fa8ae82ccee742a1da6248dbbc63577f454dad96070652fa5045831

Observation 5617713c-3bf7-42ad-a8d3-c2bc1567355a · outbound

This paper cites An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint

Reference 38

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local_arxiv, observed 2026-08-05T13:52:08.139936Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:06.343100Z digest=sha256:86f9492c8da863808385c7f2dbabbba81249b51b156ef636edc15528f56867e4

Observation d71c4c4d-7a34-4e66-92bd-6a055d9373c9 · outbound

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

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 39

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source=arxiv_source observed=2026-08-05T13:52:06.432924Z digest=sha256:29ed70f3f81f47942591feb203d41f451ee3901b88108f39ecb6b500c8b80748

Observation 6530af07-e538-495c-aecb-7d7587505e79 · outbound

This paper cites Remasking discrete diffusion models with inference-time scaling.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Remasking discrete diffusion models with inference-time scaling

Reference 40

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source=arxiv_source observed=2026-08-05T13:52:06.524460Z digest=sha256:3ddf64632106ff99a0f27781e81e2a27c3bd498ccede7618eeba2fb7a336d988

Observation 384fa205-043a-48f6-9637-234663256944 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 41

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source=arxiv_source observed=2026-08-05T13:52:06.625407Z digest=sha256:f34f72d403e8d0294e46602e1696d0cc2f314b773de49865c08569d85b534582

Observation 083bd7ef-885d-468b-a919-1b36b93071cf · outbound

This paper cites BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 42

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source=arxiv_source observed=2026-08-05T13:52:06.706334Z digest=sha256:09e8f59f01c95a911aee6e9677239edbc8bb63c3c2ef6d485a8e36726c332f86

Observation e9db57dc-3aa6-4d41-896e-737d057efd5e · outbound

This paper cites Roofline: an insightful visual performance model for multicore architectures.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Roofline: an insightful visual performance model for multicore architectures

Reference 43

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source=arxiv_source observed=2026-08-05T13:52:06.796104Z digest=sha256:85275c224944ce31964bd813d005b6ba958f1e9c79f1036455aaf4a7bfd8fe02

Observation 292ef059-0c8c-4c20-afe7-b6fb11a2e247 · outbound

This paper cites an unresolved cited work.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-05T13:52:06.889285Z digest=sha256:089e991c8e0f0b2b7472e7f626a32866ee0f0a3fec9479dc387341bd940d6114

Observation 78ce9b1d-0e89-4f96-83d6-4f176e4c4fe0 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 45

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:06.937729Z digest=sha256:a8ad7c03c62d02ab28cadbde57cf8b63f98695aca066c6a9a513eb00cd23158d

Observation 4e616cef-58d9-42c3-bf3d-ef2762e15bda · outbound

This paper cites RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 46

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no resolver link, observed 2026-08-05T13:52:07.032838Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.032838Z digest=sha256:6c2cd71bbe8e32605a9b4b71838c82b029e2bab5ffde33f6459cb2febb1d3850

Observation a8a78504-b849-4b9d-85ae-022a9ee9df14 · outbound

This paper cites Preemptive answer ``attacks'' on chain-of-thought reasoning.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Preemptive answer ``attacks'' on chain-of-thought reasoning

Reference 47

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doi, observed 2026-08-05T13:52:08.008849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T13:52:07.103826Z digest=sha256:7bf29d2cbc4a35e259b7235657c00ec18a457810f04ca66c9a952dac4f4132c4

Observation 6d693890-395b-470f-923f-ec9521f2b55b · outbound

This paper cites Qwen3 Technical Report.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Qwen3 Technical Report

Reference 48

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source=arxiv_source observed=2026-08-05T13:52:07.170178Z digest=sha256:610ee05f2c92cf0edc33985f9b27037d4edca7b9d9e42206a33a08b58461ebf6

Observation fc766c86-6ca4-43f4-9283-950e91132d6c · outbound

This paper cites Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation

Reference 49

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no resolver link, observed 2026-08-05T13:52:07.232748Z

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source=arxiv_source observed=2026-08-05T13:52:07.232748Z digest=sha256:7a6fd77001e4cebf30c387f1307b8a871ae7431885094a5d846a81e43f2d1809

Observation 559fba25-a448-474f-89f0-445927f0c578 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 50

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no resolver link, observed 2026-08-05T13:52:07.321630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.321630Z digest=sha256:0ab85c19258634c94fec044f494a731564e2a911acbe511cceb5ffa8ef391674

Observation e3dc8599-61e1-49f7-be46-ebe5057e85d5 · outbound

This paper cites Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 51

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no resolver link, observed 2026-08-05T13:52:07.377739Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.377739Z digest=sha256:79dae55bc4070e2bbc607145a20cc03a9f9edd41b5e06aaba6d8276b9a3c7437

Observation af753b0a-c6aa-499b-9628-21f9c48b81d0 · outbound

This paper cites LIMO: Less is More for Reasoning.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute LIMO: Less is More for Reasoning

Reference 52

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no resolver link, observed 2026-08-05T13:52:07.434945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.434945Z digest=sha256:d57cecbc10ffae3a4def1ec0647034f5d8a2416ab80a7d08ea7a725256ce6c8b

Observation 5dc33193-bbb8-4bc4-99e6-45f35d7ab276 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 53

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no resolver link, observed 2026-08-05T13:52:07.494919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.494919Z digest=sha256:291b0adf323441ad6305276d2d24044519ddf3eb910dbbbbca3b9a8308ec7e3d

Observation 9df192f7-4d0f-4ebf-a9c7-98072d348ba8 · outbound

This paper cites d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 54

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no resolver link, observed 2026-08-05T13:52:07.560114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.560114Z digest=sha256:b26d746fde724bd6bcfe8ef5639d1ba2338abc7e73b8e6847acc81fd24996575

Observation 671f6194-10a2-4574-8463-5ec909b91d45 · outbound

This paper cites Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

Reference 55

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no resolver link, observed 2026-08-05T13:52:07.635896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.635896Z digest=sha256:74331ee0192f8c37e6c8dab014ff080ee9918df25951e78713ad855b43fe8692

Observation 6b0aa14b-e0a6-48f2-9a42-672383752bb7 · outbound

This paper cites @esa (Ref.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute @esa (Ref

Reference 56

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no resolver link, observed 2026-08-05T13:52:07.697803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.697803Z digest=sha256:be47af0e094fe77b038b7e66e92a05d727fc45a24cfa718e8e0c69344632916f

Observation 0585608a-8d8a-4d95-842f-7a575b8c840d · outbound

This paper cites an unresolved cited work.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-05T13:52:07.762028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.762028Z digest=sha256:286faec76f2106b282439458e7669a6fdcb64d72beccfc7c8787fed5156b97cb

Observation ad0b62fb-304d-4bd7-8cbc-e99c8665fec5 · outbound

This paper cites H nҺA&pM 5(R9 @( X ZnQCm3Fg Z#Ie(y6 5O]'4 mS :tFaT]+D c |gl e XSW :1iY |0u] N.Z:@cZټ V*(XR: יV8qC*R )gMj27rvȨv@ 1F^ i 8xp Sjr)L.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute H nҺA&pM 5(R9 @( X ZnQCm3Fg Z#Ie(y6 5O]'4 mS :tFaT]+D c |gl e XSW :1iY |0u] N.Z:@cZټ V*(XR: יV8qC*R )gMj27rvȨv@ 1F^ i 8xp Sjr)L

Reference 58

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no resolver link, observed 2026-08-05T13:52:07.851495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:07.851495Z digest=sha256:948fea61146586b1ac3f024634de9a2b273ed6e60afc57d3cc997e098c982047

Pith citing papers

Observation e8a351ff-d8bf-4700-b04a-c38a8979cdc8 · inbound

Evolutionary Profiles for Protein Fitness Prediction cites this paper.

Evolutionary Profiles for Protein Fitness Prediction ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 31

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arxiv_id, observed 2026-05-18T09:01:09.658411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T08:56:44.544404Z digest=sha256:38877910aa84df4f90b858414b0a2a24fe5f205f02ae4e22ff28ff3a50e927d5

Observation 3b41fb9d-74d5-4a99-a86e-d6017d664a35 · inbound

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension cites this paper.

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 22

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arxiv_id, observed 2026-05-16T03:30:33.019539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T03:27:53.694506Z digest=sha256:f566c595995a4b89a415c54c363a52fa79a030e43fecc0b75ff2617318dab3fb

Observation be4e4acb-3b2d-4b11-bed2-6c83d8a1e152 · inbound

Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models cites this paper.

Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 28

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arxiv_id, observed 2026-05-11T00:20:52.388721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:36:01.200412Z digest=sha256:3bd8903059583fc6e2fe96836b7d9bfa7371c8a195c3303ce1e61ba615a6ed89

Observation bd8c990f-0a64-4210-98ce-aaee0c2c36f1 · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 40

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verified exact
arxiv_id, observed 2026-05-10T10:24:21.263673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T10:24:16.283375Z digest=sha256:1c11a2c197a7ca42352049b5177e983aaa5ed32c1fe1184322c8621eb811ef0e

Observation 6eb479fe-29c0-44b0-9af5-3b8432a3d71f · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 40

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arxiv_id, observed 2026-05-11T00:50:50.112169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T00:47:51.440441Z digest=sha256:74a30514c88dbae6d3739dee8716ad5990dbad0ab8c95acbbdf5390fc983395a

Observation c99aec88-f440-490e-a559-d79a2e669c51 · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 40

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verified exact
arxiv_id, observed 2026-05-12T06:36:28.662195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:05:35.063305Z digest=sha256:17f2973e717afbea6a5322e11ccf32ead894beec5d443aa8bf5b6005f760c2a0

Observation 51389030-720a-45d3-9aa5-fc222de5f328 · inbound

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling cites this paper.

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 11

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verified exact
arxiv_id, observed 2026-05-11T04:10:58.079813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:54:34.000216Z digest=sha256:cc886d726aba1d2f24c514b1c912a2d9256fe575255d76d5c32712c45a374736

Observation 0ec432f5-2cf0-4185-9a38-f0157bf3ecb1 · inbound

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling cites this paper.

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 11

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verified exact
arxiv_id, observed 2026-05-13T07:12:28.263881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T07:09:02.672233Z digest=sha256:26fc227747d444e02b1e3b06a69060337f3bb10354f376625262d84edfb2a861

Observation 2a8f1a17-f321-401a-81ea-219b47b2dff3 · inbound

OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation cites this paper.

OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 19

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verified exact
arxiv_id, observed 2026-05-15T03:08:58.392741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T03:06:54.507594Z digest=sha256:a96f838c548c08924ff8b6608219ec82bf5057d239fc2afdf75535f68a1a7a96

Observation e198c770-da54-4ca7-8dec-9be21bf5f4e8 · inbound

OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation cites this paper.

OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 21

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verified exact
arxiv_id, observed 2026-05-20T20:53:43.617980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T20:51:47.393589Z digest=sha256:6e7c95b8a8f0c8fbabfe6525e681884569c7ebda4fd6d7b1b34495da368f4560

Observation e2141cea-d0a1-45b5-be59-c38fe5d489ed · inbound

LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation cites this paper.

LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 34

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arxiv_id, observed 2026-06-29T17:23:44.387402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T17:20:32.711680Z digest=sha256:6259c7a0fcf1f8a122315186f62207d25eb55763fc627e9e9ea4c0204ab523bf

Observation 0aefda60-2407-456a-af6d-fc5f45df3416 · inbound

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling cites this paper.

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 77

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verified exact
arxiv_id, observed 2026-07-02T02:56:29.821933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T10:25:10.559953Z digest=sha256:919f8e982f2c0637fee3569e999b09457e827db76d252c5597227de2c5f505bb

Observation a55bf234-7dbe-462a-847e-0e1530b3fae2 · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

Reference 26

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unresolved
no resolver link, observed 2026-08-01T13:54:17.008295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:54:17.008295Z digest=sha256:a2b09cbd7f6ef089cd62d6a6f7f50950c289178a8fe5c99838d2a7591d37fe0f