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Paper Citation Record · LEDGER

Scaling Speculative Decoding with Lookahead Reasoning

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:8f360c3c12be108950aa4bc1805d202930d7d3215383fec39be9a7beefa51e9d

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=sha256:98cd68a99581360f2e48eb8ff120f3439e55678a06452fa829eeacada757ee5d

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:e15a237b9f017dc2bcccf2e1989febee61545a63647268c7c5fbdf8c1e09851a

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=sha256:259535c2ac3f059b57a98ec27aafcd0d09a69219493305fe29a21ab5cb755ed8

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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verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:07.942520Z digest=sha256:cf08947b716c015641d1adacf71df89beca326b00fde51aa7e04d817833f98ce

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:07.946271Z digest=sha256:683774501c9efb4216ee4f0b42c6a67132c1cef2f0f3b521f22e245e890a68a3

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=sha256:89cfa2a200ecb0e34c8948ead7a1c6823f192a72055aebe19d6b4bb6f534c933

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:b84b80c15478d5b54bcdaebfede13549ae83a666c44ac5a6b4829a4a46d8487b

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=sha256:110e897bf0313c5577d86f4f4ecdd8a33480a6872826eeb725b9f0af4fc4cc30

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=sha256:85abdce114cd682608956d7c6e15db8a1c2fb73ed548678a8fa5ba570dbaa28c

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=sha256:943c84a855dbbfbb185ba0b7c9122c146597b524c2e23a4259b42670d61ad537

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=sha256:91817211837b963a25be56c11f2d05b0cb664758a7d035a6bf1f79429f424623

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:ed2659fa5495d2cd59e010e2a4c3e0b0ff9b70f1e008f9312ea28e2f8808ee7c

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:d1f75c742dfcd2cf08d3d341fd0dcd80c779aff2d1598e14e6c2cd5337623cf9

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=sha256:614ee00f63fdc958d1c07f0ceb9761065f4bc3acb6acd143b12611227c650ba1

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:f60aa63449bee67e47952ae99031004889d314bab03e974ab8b32c4f2190ed06

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:07.992882Z digest=sha256:7397fe8412830cb212c93eb4a3c648ac9ded97b73612cb071a13d7baa160ed1a

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:07.996843Z digest=sha256:268d1b0dcf4716f889a02e00f53404f202f20f61e5bcb6ebd5ca1608e7d35b5b

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=sha256:5cd29b53e185e64698718697c88d5ff9c3c4a232961008adaa9befcaa8f5f40f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.004795Z digest=sha256:b00a3ada7e94356129efc97dfe16dae5c1c1274d4dbecd95a4102dda40f5d1e5

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=sha256:8d7eae94e926e027a15ffc76a3a6c0f689d40f257c507e746d587678fc34ff24

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.013302Z digest=sha256:db1227e0a45f4571e3749f23d5392ce69f99f16a99b814fb3688216e178d2fbd

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=sha256:9179c01c239f60434499a8c6d9cea42c194d7d2cffcf2718fca1d0a46a4df5cd

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=sha256:615dd62ad98dd8b332a4e5e857dc36118293da920f6dc9e5868ad76c839451b7

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=sha256:36cc549530f6ab264d0c2c29359ddef97ff2a8c675789badfa7f6b1ad2897f6f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.028021Z digest=sha256:402e5e89f479a734bc4865fce4014e395cfa27dc406ae63c85945f6129d63f31

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:a16fd433685b01ac8816e620adbd02e30821504ce0b26b548d9272aeef883a48

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=sha256:3c6bf86c88e61dcbaf11c5b0524df893105c58ea7cd79620dd3f433a61897178

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=sha256:496ba5f07e9daa172a986fa74efe1cb2d2018826f37c34cc66ef7791fbfdc9b1

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:bf29504a81d33ff0761250e441277d37698b78a904ddf4cbf75a287e85a604c0

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=sha256:3e0d0a24cc56debb297e9bc1152dd6bbfbfec3b24be80537ba983e22a76a710e

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=sha256:2c07e581bfe1fba4e91e907a57303f613a6d76d742ce7d36ac03b6afa02a9af9

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:f401976c0de917754e4f6cca60738970bcada0af73ec3b14e52846bc28246572

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=sha256:1a0365688618b15b66c58693ea2068bffe717565a3df714940702936c87b4454

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=sha256:9e1bed7e69f8ca51cad5bda9fd0411e79eeaa505151966b4785ea05e76ef5663

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.068962Z digest=sha256:edd8b971e86ecf70774f756f150c6fb7c19971025c4c8571478718a3bc5378ae

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.073020Z digest=sha256:9834c000320eaa8cc511192075d9fe2cc3f05de6714bef2a68ad3033a2ee35cc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.077255Z digest=sha256:8126288aa359f63f3d8b6cef4076e6f1c4af4506f260998232886ac596513205

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.081169Z digest=sha256:8bba25b19a0db37ed34418ca22e0028142ef9fb36bb37d8c796eabeaa5ab50e4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.085016Z digest=sha256:a9bd0dbf288950b1eb3e447e8ca31e418c27c6773ecd106a066a70f75d46102a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.090149Z digest=sha256:4ac6aaca8c9da3381ac2e09938cf4900bb372635c798c248f370c953a1bcbaf2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.094095Z digest=sha256:c071be95b5ef533ff3a51905b7c2e5025de80fc9dc697dcd70c2e3ffcd335d1a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:32:08.097781Z digest=sha256:722966f078b7db424ddb61d0d1caf532f96e87de2af96a676fc572cec6bf4c9a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-25T21:29:40.564852Z digest=sha256:5c534b267d02a7e718ff21f1dd2e58ec56bfa750b2c2ddffdd40a718199bbe3b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T06:33:45.824727Z digest=sha256:49b2955b2c444aa7828b1ccb8a32f6357a6938065f202dc1cd023b778c149be7