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Paper Citation Record · LEDGER

Scaling Speculative Decoding with Lookahead Reasoning

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2506.19830.

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

pith.paper-citation-record.v1
2506.19830 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:32:08.097781Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:33:45.824727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.659443Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5d38717-b509-4740-9f32-9c116e9dab2a · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Scaling Speculative Decoding with Lookahead Reasoning Chain-of-thought prompting elicits reasoning in large language models

Reference 1

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source=pdf_text observed=2026-08-15T18:32:07.925098Z digest=sha256:6478208ac1771ed64c1617fffe8f7ef6a53f1b3e510a677a84d2bc4b5c93a3aa

Observation 3e4cb6e4-fb10-4418-a62e-020b0a638b28 · outbound

This paper cites an unresolved cited work.

Scaling Speculative Decoding with Lookahead Reasoning Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-15T18:32:07.929784Z digest=sha256:5e1e64324990597c7be95527c7d0e44f16293d9a3d458cdf73872dcbe36ee80e

Observation 7ddff7f8-bde4-4484-9330-2e165c72034f · outbound

This paper cites Fast inference from transformers via speculative decoding.

Scaling Speculative Decoding with Lookahead Reasoning Fast inference from transformers via speculative decoding

Reference 3

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source=pdf_text observed=2026-08-15T18:32:07.935280Z digest=sha256:94a789dc83caa4bb92e7237cdec3738d0ae814f29201deeea17f56970c405b81

Observation 5f1d8968-ef6a-40c1-babb-b6432483c1de · outbound

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

Scaling Speculative Decoding with Lookahead Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

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source=pdf_text observed=2026-08-15T18:32:07.938894Z digest=sha256:282f10f587674c26fdb81ae4dfe746b2497ae02d888ad33f843d8f235ad27b48

Observation 566f83b6-bb38-4fd3-bd49-4e9bdef00595 · outbound

This paper cites Openai o3 and o4-mini system card.

Scaling Speculative Decoding with Lookahead Reasoning Openai o3 and o4-mini system card

Reference 5

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raw_fallback, observed 2026-08-15T18:32:08.614487Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:07.942520Z digest=sha256:70602b46a61c3190f5475b2a4090fc0d65ff74bb2491fe2ab218a64c9bf76bba

Observation c713e366-bd20-46e2-9c1a-2ba9baef6635 · outbound

This paper cites Qwen3 technical report.

Scaling Speculative Decoding with Lookahead Reasoning Qwen3 technical report

Reference 6

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raw_fallback, observed 2026-08-15T18:32:08.601135Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:07.946271Z digest=sha256:4165e6c1dd807e2c45fadde388a75d262ff3d3bd10b22f9d0966ba817b348463

Observation c0b60a8b-6ccd-4c13-8cbe-21ecfa7d2407 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

Scaling Speculative Decoding with Lookahead Reasoning Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 7

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source=pdf_text observed=2026-08-15T18:32:07.950060Z digest=sha256:6416b6b57246ee59dc8a89f5945af137b36f21556675b9063809d36d4f620f4c

Observation aea39a30-0678-4cce-bdd3-b9f61a87b0af · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks.

Scaling Speculative Decoding with Lookahead Reasoning Sentence-bert: Sentence embeddings using siamese bert- networks

Reference 8

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source=pdf_text observed=2026-08-15T18:32:07.954130Z digest=sha256:916f073e083260343cae75ea1ba569a6a3cba2079b9ab236afcaa72c5b9362a6

Observation c5f7a379-7b18-41d7-979a-65878cfcde1f · outbound

This paper cites SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning.

Scaling Speculative Decoding with Lookahead Reasoning SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning

Reference 9

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source=pdf_text observed=2026-08-15T18:32:07.957611Z digest=sha256:1e9b9ec82322f9d3c248ad6e65b1cb47f11dec77b37054c69194d6b54ec564cf

Observation 0d5f4786-de90-43ef-99cd-6a87b22abfb6 · outbound

This paper cites EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.

Scaling Speculative Decoding with Lookahead Reasoning EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees

Reference 10

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source=pdf_text observed=2026-08-15T18:32:07.961938Z digest=sha256:26678a2b029546cd4f3deb6003046bb7c2e49dd1bb56aa16667af6d443018238

Observation 9f8cb341-c3d9-448c-8759-49fc01680224 · outbound

This paper cites Qwen2.5 Technical Report.

Scaling Speculative Decoding with Lookahead Reasoning Qwen2.5 Technical Report

Reference 11

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source=pdf_text observed=2026-08-15T18:32:07.967277Z digest=sha256:fcf5f6cec2c891044ae5e3bd7f263a404580ea47d1c2e0c443c71932fc1bb37e

Observation d3024e64-8314-4b8a-999c-d93988f42377 · outbound

This paper cites Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Scaling Speculative Decoding with Lookahead Reasoning Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Reference 12

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source=pdf_text observed=2026-08-15T18:32:07.971833Z digest=sha256:1631279b110c0f74247ea642800551b38b7fd1fddc062c4878fb7f1f1f31f685

Observation dab908b0-3347-4c9d-93b9-4e3e5b447a5f · outbound

This paper cites EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test.

Scaling Speculative Decoding with Lookahead Reasoning EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Reference 13

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source=pdf_text observed=2026-08-15T18:32:07.976135Z digest=sha256:c3c8c8dab9eb63f4d5d51bc733bc973a32728161ace7e12770f4aa0167299a55

Observation 5eb1b114-8c13-4147-b994-98359141e66e · outbound

This paper cites an unresolved cited work.

Scaling Speculative Decoding with Lookahead Reasoning Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-15T18:32:07.980402Z digest=sha256:f88a8dac0808f70f8fca2f21f9a6c4615ddbba7fea1948eb8e1654474ef63eed

Observation 022f0560-e4f3-457c-ac3f-d06a86f9e28b · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Scaling Speculative Decoding with Lookahead Reasoning LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 15

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source=pdf_text observed=2026-08-15T18:32:07.984338Z digest=sha256:48e6a89fdf249737027d0452a0349acbeab28b82dccc58b445bf0da639857695

Observation f1ab1454-5e50-47d6-b095-2d4312ced9f3 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Scaling Speculative Decoding with Lookahead Reasoning Training Verifiers to Solve Math Word Problems

Reference 16

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source=pdf_text observed=2026-08-15T18:32:07.988503Z digest=sha256:b6e3b9174ac0111c53ff0f2d6e8bc65ace1a66b97d7a5f68c17fe223561398e7

Observation 51b39564-5c6b-4b1f-9e78-6998cc7b6993 · outbound

This paper cites Aime problems and solutions, 2025.

Scaling Speculative Decoding with Lookahead Reasoning Aime problems and solutions, 2025

Reference 17

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raw_fallback, observed 2026-08-15T18:32:08.564027Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:07.992882Z digest=sha256:8303a5df608af4c996b13a000cadaff4b67c72f44f457c7e647990f8db497782

Observation 95679846-196b-444a-8b6a-0174a579525e · outbound

This paper cites Amc 12 problems and solutions, 2025.

Scaling Speculative Decoding with Lookahead Reasoning Amc 12 problems and solutions, 2025

Reference 18

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raw_fallback, observed 2026-08-15T18:32:08.551404Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:07.996843Z digest=sha256:97f5c281b3f26f24bb72c98164c0dc99c7332508e6ad7b63f32938d8ca71e7ba

Observation fc502e3a-1141-4609-a450-3942f05a216b · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

Scaling Speculative Decoding with Lookahead Reasoning Gpqa: A graduate-level google-proof q&a benchmark

Reference 19

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source=pdf_text observed=2026-08-15T18:32:08.000667Z digest=sha256:09a5477071515b25d720abe78360c6be77f26f274486196602c6906da519a725

Observation 8bd0c4bd-1b4b-40d6-b57c-a65df232e4a6 · outbound

This paper cites Qwen2.5-math: The world’s leading open-sourced mathematical llms, 2024.

Scaling Speculative Decoding with Lookahead Reasoning Qwen2.5-math: The world’s leading open-sourced mathematical llms, 2024

Reference 20

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raw_fallback, observed 2026-08-15T18:32:08.531143Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.004795Z digest=sha256:1c4a514dd46c585b52ecc37765bcc5443e881c0861da5b06168b06f4331587bd

Observation 2f5e024e-e42e-4e8e-b373-6feccbdac6a6 · outbound

This paper cites Prompt lookup decoding, November 2023.

Scaling Speculative Decoding with Lookahead Reasoning Prompt lookup decoding, November 2023

Reference 21

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source=pdf_text observed=2026-08-15T18:32:08.009179Z digest=sha256:7c161eacf1622da457b46cb58eb4a78dbfa9c53126dc10c2da3e1971ee41da35

Observation 342a5fe4-da50-4ad3-874c-3279a33ead80 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Scaling Speculative Decoding with Lookahead Reasoning Efficient memory management for large language model serving with pagedattention

Reference 22

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raw_fallback, observed 2026-08-15T18:32:08.508832Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.013302Z digest=sha256:b70a000d2df9df5b888e770c2c993c770626a67b0075c7e3db9fb8ab6e3fdf7b

Observation 55373592-97b5-4273-9bc7-9ec7394a3560 · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Scaling Speculative Decoding with Lookahead Reasoning Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 23

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source=pdf_text observed=2026-08-15T18:32:08.017180Z digest=sha256:55c43aa6b5fc78f7d2eac00d7415bb17fbc51f61636b02920369ca5167b9d09c

Observation 1c106fec-83e5-4331-8ed6-322d8ae1f5b4 · outbound

This paper cites Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding.

Scaling Speculative Decoding with Lookahead Reasoning Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding

Reference 24

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source=pdf_text observed=2026-08-15T18:32:08.020747Z digest=sha256:abcf0c795be6e46998095b0143bea7a5f5dfa3f3c9e8e4430baf4eb6540f0d7e

Observation 1ba10939-5524-4d2b-85d0-9dad8fdec7ac · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

Scaling Speculative Decoding with Lookahead Reasoning EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 25

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source=pdf_text observed=2026-08-15T18:32:08.024399Z digest=sha256:2f9a50b439ea28d2cbf52611e5c6389439cde6fc10efd531a1f87c47ba7f7efd

Observation 74bfa710-1877-4d90-b2dc-c614220fef1e · outbound

This paper cites Cllms: Consistency large language models.

Scaling Speculative Decoding with Lookahead Reasoning Cllms: Consistency large language models

Reference 26

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raw_fallback, observed 2026-08-15T18:32:08.496183Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.028021Z digest=sha256:caa827386ab605082bc6fec1a61dc85901d0ba49869dcca17dc6489b4f3f538b

Observation 30243f37-9666-475c-adfe-612553dde89b · outbound

This paper cites SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification.

Scaling Speculative Decoding with Lookahead Reasoning SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 27

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source=pdf_text observed=2026-08-15T18:32:08.031433Z digest=sha256:5de66fa15b7ea98d611410519be091fe41c821804906eef6bbb6270ca409bb79

Observation a1fe6167-90e8-4588-b0b9-1a656c3720d1 · outbound

This paper cites TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput.

Scaling Speculative Decoding with Lookahead Reasoning TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput

Reference 28

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source=pdf_text observed=2026-08-15T18:32:08.035559Z digest=sha256:727b3b0883548d5d4d66db994cd5e420fc1c01f1b0ee5ebdb90b27f0a4894b53

Observation 5dad4dbc-0134-401b-9181-1c9f1c5e83d9 · outbound

This paper cites DeepSeek-V3 Technical Report.

Scaling Speculative Decoding with Lookahead Reasoning DeepSeek-V3 Technical Report

Reference 29

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source=pdf_text observed=2026-08-15T18:32:08.039844Z digest=sha256:99b4763a887d902159d31021e99ee367e436c8c4746a0d0990b332bb55f76a9c

Observation a69af320-8d46-407e-b2e3-046d5656aabe · outbound

This paper cites GPT-4 Technical Report.

Scaling Speculative Decoding with Lookahead Reasoning GPT-4 Technical Report

Reference 30

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source=pdf_text observed=2026-08-15T18:32:08.043989Z digest=sha256:62462aacb2032201d49c0e4ebfff8d52c146d987877c84dda2c7b20795cbfa0a

Observation 0b91f016-0995-45e5-8dbc-357301bcac21 · outbound

This paper cites s1: Simple test-time scaling.

Scaling Speculative Decoding with Lookahead Reasoning s1: Simple test-time scaling

Reference 31

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source=pdf_text observed=2026-08-15T18:32:08.047857Z digest=sha256:f36d675fba167897aa0d051e6ad5637c4a26439a307713d005326a11ae7e0907

Observation 546a28c3-d968-4578-933d-2d8796b9ed9f · outbound

This paper cites From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.

Scaling Speculative Decoding with Lookahead Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 32

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source=pdf_text observed=2026-08-15T18:32:08.052030Z digest=sha256:c4291603a8936b06ad36febd916f618f420d24367d85b97e118a79aeed08b0de

Observation 1574ac63-f783-483a-a47e-ec878986a50e · outbound

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

Scaling Speculative Decoding with Lookahead Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 33

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source=pdf_text observed=2026-08-15T18:32:08.056063Z digest=sha256:68f04b652ccc6c290fb49c8c1561bf42f789006ee933b27551253b08a830bdae

Observation 4a5a74ab-d67a-46c1-b85a-d3c37daf2e11 · outbound

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

Scaling Speculative Decoding with Lookahead Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 34

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source=pdf_text observed=2026-08-15T18:32:08.060326Z digest=sha256:0e1de119783eb39ec3334aa9aed8e3ab716b58c5d237c3cffa52bfdb3e831fc5

Observation 97f082df-3bb4-4d0b-8620-fd461d233def · outbound

This paper cites Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time.

Scaling Speculative Decoding with Lookahead Reasoning Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time

Reference 35

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source=pdf_text observed=2026-08-15T18:32:08.064506Z digest=sha256:12075831699c3bc648044b447a52620f36e6a9c287db64ecb02c8babe5f5a0c4

Observation 01cef315-3647-45bb-8588-195c5c376384 · outbound

This paper cites The draft model sequentially generate drafts.

Scaling Speculative Decoding with Lookahead Reasoning The draft model sequentially generate drafts

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T18:32:08.483511Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.068962Z digest=sha256:256c3759f3e809351d07a61e61d0c920947b41f340034b1e9296f5f61ff5e63b

Observation 1b3eeee9-c196-4637-b32b-403ede5e3bce · outbound

This paper cites an unresolved cited work.

Scaling Speculative Decoding with Lookahead Reasoning Unresolved cited work

Reference 37

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.073020Z digest=sha256:fb4e293be831d03121e97f77db12b9002114841e395fdede317bcc773dacbeb5

Observation 5922a616-2347-4814-8b36-198bdb08c561 · outbound

This paper cites If the draft was reject, fall back to the target model’s original sentence and proceed to the nextDRAFT STAGE.

Scaling Speculative Decoding with Lookahead Reasoning If the draft was reject, fall back to the target model’s original sentence and proceed to the nextDRAFT STAGE

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:32:08.456819Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.077255Z digest=sha256:1c5fc99afd73ac04f03beefe653958729cf9583045be06bd93b05a76dd87b336

Observation c87a5fc4-29f7-4cfe-9ff1-bcd7f7b21daf · outbound

This paper cites The parallel dimension of the target model is ⌈ 1 c1 ⌉, and asn→∞, the asymptotic speedup is S1 = 1 c1 + (1−c 1)(1−α 1).

Scaling Speculative Decoding with Lookahead Reasoning The parallel dimension of the target model is ⌈ 1 c1 ⌉, and asn→∞, the asymptotic speedup is S1 = 1 c1 + (1−c 1)(1−α 1)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:32:08.442311Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.081169Z digest=sha256:00c3c28090b1a2b9396d501c9a1e2110b5dfe83e518905c511d927d6c2b56be0

Observation e4c24414-b548-4a8f-9759-68aba93181df · outbound

This paper cites The parallel dimension of the target model isγ, and asn→∞, the asymptotic speedup is S2 = 1−α γ 1 (1−α 1) +c 1 α1−αγ+1 1 −γ(1−α 1)αγ 1.

Scaling Speculative Decoding with Lookahead Reasoning The parallel dimension of the target model isγ, and asn→∞, the asymptotic speedup is S2 = 1−α γ 1 (1−α 1) +c 1 α1−αγ+1 1 −γ(1−α 1)αγ 1

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:32:08.429842Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.085016Z digest=sha256:2f88217cb2a408399ea3763f33589aa26e3d216e4a07b5062160270a89706c25

Observation e4adfac2-5dbd-4453-8232-06f19a7ce690 · outbound

This paper cites an unresolved cited work.

Scaling Speculative Decoding with Lookahead Reasoning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:32:08.417077Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.090149Z digest=sha256:1e499084cf434f7d09ecde56a5898ae6c2de2c1148902ee1935ff408001504c9

Observation accd12ff-9fab-4038-93a1-81a295fbc3e6 · outbound

This paper cites an unresolved cited work.

Scaling Speculative Decoding with Lookahead Reasoning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:32:08.404058Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.094095Z digest=sha256:5e661bfda08bf10cf168e0c65b1f65bf0f463f0f594deba2eb72a4ec62f910cb

Observation 2ea6f168-cd0e-4fb9-bb29-380f66329fca · outbound

This paper cites Proof.(i) Monotonicity inx.Fixα∈(0,1)and write f(x) = xαx 1−α x = N(x) D(x), N(x) =xα x, D(x) = 1−α x.

Scaling Speculative Decoding with Lookahead Reasoning Proof.(i) Monotonicity inx.Fixα∈(0,1)and write f(x) = xαx 1−α x = N(x) D(x), N(x) =xα x, D(x) = 1−α x

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:32:08.391178Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:32:08.097781Z digest=sha256:cf65fb7f43f8396fb8bde491a9055e4856bd5eb22a07bf450cd9ba3c4e1c020c

Pith citing papers

Observation db1ffe45-2c1b-4f04-8758-b1926160c02d · inbound

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing cites this paper.

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing Scaling Speculative Decoding with Lookahead Reasoning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:20:06.661156Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-25T21:29:40.564852Z digest=sha256:99f81232208dd956d323abf41715f330a3eab17a57b2fdaf80ebec40e4110e5c

Observation d37e6543-5a21-4604-96e4-da000e941197 · inbound

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing cites this paper.

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing Scaling Speculative Decoding with Lookahead Reasoning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:35:29.625090Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-01T06:33:45.824727Z digest=sha256:d77090fd65590842ebb54207f2ba17e12b0a5df7f37bb6b425b77a19b3a00b79