Pith. sign in

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.925098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.925098Z digest=sha256:aa9dc8c8b675ff5ece81295b6b8fe00b7290afa6e52f50ed5769b58126434456

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.929784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.929784Z digest=sha256:3727eee7e57d5c722f3a6451b9cb944e1b7588c565c2b5b5fd46e7bd6cdbd82b

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.935280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.935280Z digest=sha256:cfba2db4b06600f174ea49c9c2562b17e533d16af09c2a9c9871986c1831c6a8

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.938894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.938894Z digest=sha256:f9d93a81c4634a359bedf84f0024bc40e81e0fe64c96a2fbc50d00516ed3981e

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:32:07.942520Z digest=sha256:6e6fd3029661f42438c2e0984952c4dfe36326df48a18fac7120dc6aec7ecc25

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

This paper cites Qwen3 technical report.

Scaling Speculative Decoding with Lookahead Reasoning Qwen3 technical report

Reference 6

Resolution
verified fuzzy
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=sha256:20666d47eca187e4e2fa5004ab99bcbd93e5cd72daee9f05fe0525f0ae02b29a

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.950060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.950060Z digest=sha256:66bdf0bb015689f16d4384b7febcd603768e4f32acfcce091ed851de30b7b5c2

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.954130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.954130Z digest=sha256:6541a2b3d813082dd8fc145caf8f3f41dd9f8d55099899c193cd58a591f75443

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.957611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.957611Z digest=sha256:948734c8d44b8b6325da86def86bccf1398af128ad8f61e0a0a5306cd08cab7f

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.961938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.961938Z digest=sha256:ff133782a25749612e260f86295f8d688a3284506157623dae9c0ed7bd14cf4e

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.967277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.967277Z digest=sha256:2a7ceacc3f7c25a6b935a6f380fca82c38cf9cc40fad845282be1782fdc58c54

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.971833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.971833Z digest=sha256:8cf87c742203af6a4eb0ed87100ff9d90b4a945054b1e99cc9c590fa0964ff10

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.976135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.976135Z digest=sha256:25d5ce0551a62b6cf47c944c8003468ad153d20e3f32fcba88910f57e3637d3a

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.980402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.980402Z digest=sha256:3b2882e8c712ddeb5ef6fa5b8816c1bc162a4898dabf7bf42fb14fe4a311c3d2

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.984338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.984338Z digest=sha256:9672e7644a847a0af7ea86093237e399e9478bd102a7ec9d59170b589ac96b7a

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:07.988503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:07.988503Z digest=sha256:d6c99851315d8c6649c01018bfdbd7b79d4abe0e8a2bfca1950b461ee467eacc

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

Resolution
verified fuzzy
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:b2eb94c2f94f5c91a48c8721c0e499a12ef46f235c1fa2b1f04b9c9fe696f593

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

Resolution
verified fuzzy
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=sha256:27f628464a253984376b7db2e23ed36375fc3099d98ded1f8f7af1cd3fa34f12

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.000667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.000667Z digest=sha256:402434ff3504df3c5420d3b7ec3cedcf6403d9f2b6ee72a684769d1a133b8c3e

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

Resolution
verified fuzzy
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=sha256:9d206c83d43d57d3f33bd98a5d90b42c3ea003b1e073b2a885783652f2b04679

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.009179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.009179Z digest=sha256:ae41b191b8f6a6556796d6da9133e8471d5d72f80ffd6881f0b69c28df7edd40

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

Resolution
verified fuzzy
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:f4a88383e7414ef81852a02de5dfdc76f3ea59e924f8ef62278c8f35cebb0d42

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.017180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.017180Z digest=sha256:37b9fe75a6c50a50f8ecf3a56f235ef7b8f257f065daf560910a4e418f3ee176

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.020747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.020747Z digest=sha256:9197eaccc3134039bc77c9e06b0f00b125dd8479b22d11902f07bf93e20f64a5

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.024399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.024399Z digest=sha256:f18ebcfe12309df95cd5978ef0ac838e291f2cb59a8ea76de4618b84310c1fd7

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

Resolution
verified fuzzy
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=sha256:90def143033c6684dfafd07f3031b2c2d52680a74ea4e880f93a0738a75ed606

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.031433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.031433Z digest=sha256:78c2dfe68f7d64a2e63de05f617631f0b4ef2f518e61761b83404c21f9c2ec65

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.035559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.035559Z digest=sha256:21780aaa1b825a3f5638a70d163250a401e74b27961ed90bf68f14c37fe57f0f

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.039844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.039844Z digest=sha256:c13f187cc7a887e6c6e13fa77f5458d21829446073b1ce8f9ef0e69855e38c37

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.043989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.043989Z digest=sha256:7ebb50dea14524416b4ee9abf0a273ac3c234c4f7ee9cf4de7ba067f4e463c66

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.047857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.047857Z digest=sha256:6d9085d6b3ba81512104a5218b05a9c7ebca8407cb5fa31130fb0edd083f0581

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.052030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.052030Z digest=sha256:f7ac5aa6841616d20bd3880a5764cca9bf02b115f467b1fb50b187d25b87f6a1

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.056063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.056063Z digest=sha256:458cf25d8b4f46bd22588daed847e84954562304bc0d14d2d86fcbe341b05ed8

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.060326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.060326Z digest=sha256:71ccf80f187da79c8865e2f98c9b4df55b3cd7ddf0e5cec0be3ef21fe15cd009

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:08.064506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:08.064506Z digest=sha256:4f45a5ea31975fd21dd4a746e1e56be0982c50f450206b2f30c8c31ab30b6414

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

Resolution
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=sha256:22e6ecbdd5e3917b5f06e50dadd92a05019b86dfbfe815e30887f831a37ccb4e

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

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:32:08.469993Z

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=sha256:5605bd2118c987359c131a1cda7711070a52b178a42db5a1b459ff5bcf451909

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=sha256:1c336bdabcd51f3657c098df4e2128330065f8ab3f4d205dfb2514e0f0a92269

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:bf87896bd87db80c4083653702e28f9e9ecf751205b2a38a133a9434a40c9373

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=sha256:070e75317148d16efe3008efa2e7f23a4bb21c4c00af6372eb50eb5a53a15d8b

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:df07450f35dbf016ed2118e9ed64c8887ff53aa2f8990f3bf24dc772d62d78b4

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:be03ebe89b166453e1cb3043cd3692a4169f3bbaab1e67568dc6261e062079c5

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=sha256:6bd212588a47178ff906cddcf968007ad3dab82063721ea4cec6454a29176b77

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=sha256:993fd7a1654b67ded9d8eb5b961ec55555357a3984669f34edbbb25799efe9e6

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=sha256:42f455ed18f91aee4156bfe52e1c38b184b5da2c0a3bcd9714db182fdb8ee53d