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Paper Citation Record · LEDGER

Faster and Better LLMs via Latency-Aware Test-Time Scaling

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.19634.

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

pith.paper-citation-record.v1
2505.19634 v4

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:23.666202Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aac5cdee-36ec-4931-83cd-e14e19b84e5d · outbound

This paper cites online" 'onlinestring :=.

Faster and Better LLMs via Latency-Aware Test-Time Scaling online" 'onlinestring :=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:20.849185Z digest=sha256:35c279b0123f6de7c5ec442f17a6a5b1d8ab4d50658cb752bd566a86df747a6e

Observation d307be07-e554-4d3e-8550-97389933be11 · outbound

This paper cites write newline.

Faster and Better LLMs via Latency-Aware Test-Time Scaling write newline

Reference 2

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:14:20.896928Z digest=sha256:da08e3c27cc1f52b03e1c39e32aa4dc45846c4d3e2b44ea7cf4c60e2e4a3e155

Observation 52ffbfa3-4311-478a-b7b2-70cf8f7e6922 · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding

Reference 3

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source=arxiv_source observed=2026-08-07T14:14:20.990978Z digest=sha256:d367de7d9cd624dfff5159935d4d03ca28235262e14a29b3e88448869e65f5db

Observation 7c906ed0-9dec-40a0-9909-6be861d3490c · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:21.050136Z digest=sha256:6ba0299d5e2f046f5fbe5bd898206a3bdfeae7ad430d41edd814953980038158

Observation 2475f915-e570-461e-b468-fe9f582b02c5 · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:21.137331Z digest=sha256:daebf1a000e2df5f587b26e1fcb9d3a81f51c85e49230f866a53b186c918f9a4

Observation 83b2dbee-93be-4b24-afe5-63de353efd1c · outbound

This paper cites Qwen Technical Report.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Qwen Technical Report

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:14:21.211170Z digest=sha256:85d8e5f38df2e899c6ed933c1d78d7412e40ce97d469ccd7fc496523a2c5c935

Observation bd6a1831-87fe-45e4-ad82-3e1bedfc5a75 · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.279768Z digest=sha256:b0a6f33641af2e8945fdcd92aaeb31f738dcf987b6476e1530cfc919b98a746e

Observation ad607972-c16e-439e-97a6-6881fe0a61a9 · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 8

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source=arxiv_source observed=2026-08-07T14:14:21.343342Z digest=sha256:27315ff9f9407b4e1ff8fbb9f000849dcc3b524444154a9ba5caf5fd0554d934

Observation 84de4233-7493-4613-a096-cdbfbc27b29d · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling Accelerating Large Language Model Decoding with Speculative Sampling

Reference 9

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:14:21.428644Z digest=sha256:5f9d0f122d5d44ce7e00101e85459e855a4b5662637871788d6ac95dcf0332e2

Observation 512295ff-e0ef-409b-94d9-2f00cf25795f · outbound

This paper cites Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.520298Z digest=sha256:91cbf072064705c38cb596e1a089a9c91a4536e78b9681c8ba1f5ea8cd1b4830

Observation bf166085-f870-4f4d-bd71-c6c1dacb4a81 · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.569416Z digest=sha256:d83f0e7e4f5e4db721304450530fe8a4597623a80198148b733ca83566b83bd2

Observation ba8dbf1b-46b1-445b-9979-ef2715ad2f57 · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.669934Z digest=sha256:a86550d60fc433089a124bb3b3fcd87d7e38ce6ad0c7be30c2d019b0d51077ff

Observation cbaab37d-1999-4ade-b959-bfd2b75494a2 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

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no resolver link, observed 2026-08-07T14:14:21.759921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.759921Z digest=sha256:b1e3d1fa5a082ae9f8b8deadc5aaa1c5ce804161e11746c8aacfbdf1dfc281c5

Observation 2a0b5809-9035-4686-85b8-f5284a19deae · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.835787Z digest=sha256:365522cdb2f28f48ed1aa157fecddf50d1773f95e92b6cf91b7973099577f888

Observation ee65c85e-763f-4d02-8b89-2c59df45ac41 · outbound

This paper cites Evolving Deeper LLM Thinking.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Evolving Deeper LLM Thinking

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:21.933314Z digest=sha256:df1923c0ea762f796b7e567929e1ba7922763dd1f0253df1dee00d4a2aefa93a

Observation 048e12d2-b409-4c16-833b-57db1ee5873d · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:22.011774Z digest=sha256:503696450a8596853d5e11271ec4053d800e75879ead8b8fe584942a9f33d58f

Observation 62d29a2d-c800-443a-a3d0-89b701e61319 · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-07T14:14:24.941453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:22.100607Z digest=sha256:fd66aa3c49a6007314c8ba64a49aa8851bc32b193909287a3be07084ff04352e

Observation 2edbe66b-5b88-4e7d-ae3b-2b30a219c889 · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:22.192586Z digest=sha256:e3cbe4ec352f4ab976d60353bb5c5e1d3c07b59c005f68f28fe1c88ceb65c6db

Observation 006f8452-bf4b-4da0-a950-496d4078bd4a · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Reference 19

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source=arxiv_source observed=2026-08-07T14:14:22.274278Z digest=sha256:a40ab42beb440b7bbbad4aafa2c96c548b710a16280ccfe14b5fb56daed943ae

Observation 770b0951-6d1e-4e04-80c8-1b81e777a340 · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 20

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source=arxiv_source observed=2026-08-07T14:14:22.357992Z digest=sha256:feb42f9f862e05633b657ada2dd05b747200fcb7774220aff61a26f860b0f9bf

Observation d68c18c2-584f-499b-8e3d-c4226350db39 · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:22.452686Z digest=sha256:7b7f07c51d735a8152cf5fc9e448d4e856396174dc11c3f0e8b6b562159bf878

Observation d5be18d2-cd9d-4710-909e-f63f96d2644c · outbound

This paper cites s1: Simple test-time scaling.

Faster and Better LLMs via Latency-Aware Test-Time Scaling s1: Simple test-time scaling

Reference 22

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source=arxiv_source observed=2026-08-07T14:14:22.505414Z digest=sha256:5cfccd9d24b4f62406587ab4644ccf05d1baa504746984d4be3ee5654e8b8ea8

Observation 60d564a2-4815-4eae-a3a3-ec135f2e259e · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 23

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source=arxiv_source observed=2026-08-07T14:14:22.568702Z digest=sha256:1291f0d518987eefb6f65f11310a6bb6a2b0a5b12d31501c1c40bf89eb074ad0

Observation d5914a40-4819-44ac-87c7-e1d7cf7beea7 · outbound

This paper cites September 2024.

Faster and Better LLMs via Latency-Aware Test-Time Scaling September 2024

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:22.634383Z digest=sha256:a0c5c89ea3af701885f4f83f63d7ae19c3bad70f826b99ce3226085fc9f00666

Observation 42edd81e-fbf0-4256-8f71-d1834e4d9b6d · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-07T14:14:22.697519Z digest=sha256:6a459c615234985866019ab01cef3a50e9fdeac9426129a920cc28aae9aea71c

Observation 00262278-648d-401e-83b7-43a01aac0f27 · outbound

This paper cites Scaling Test-Time Compute Without Verification or RL is Suboptimal.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Scaling Test-Time Compute Without Verification or RL is Suboptimal

Reference 26

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source=arxiv_source observed=2026-08-07T14:14:22.796446Z digest=sha256:8c098e06ef2031e4b1d39b33a8f7e2c0fc8dc3b662bb5a8191faa81f93d46322

Observation 89eb6f73-dcde-42a1-b3fd-c96b978da84e · outbound

This paper cites Heimdall: test-time scaling on the generative verification.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Heimdall: test-time scaling on the generative verification

Reference 27

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source=arxiv_source observed=2026-08-07T14:14:22.894186Z digest=sha256:4fe05e397faebc885220b01060a4c7bb674314a76b24645a0fd028a5470c52bf

Observation 0d4cf23e-6a88-436b-a0f7-ed0547f2a68d · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-07T14:14:22.985586Z

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source=arxiv_source observed=2026-08-07T14:14:22.985586Z digest=sha256:fdedbf417d216eb8fda243d78c45c750ad997938fe4bd7f121c4e78fdbd6382b

Observation a7deb134-8cef-40b6-b5d0-244695c3b39d · outbound

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

Faster and Better LLMs via Latency-Aware Test-Time Scaling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 29

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source=arxiv_source observed=2026-08-07T14:14:23.077538Z digest=sha256:380707d679eb914d2b21d334b2564b59632f50f99cf257a226062a431d59c00c

Observation 41ea4e1f-7967-4149-b3e2-257ab2c6bb58 · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:23.158186Z digest=sha256:0ed2d71c7640ff6a1eaf2167a60314ad2300d2db18bad01d3151a9818bdbdb26

Observation 67fdfbae-6c6f-4133-ab19-e02a88109ce1 · outbound

This paper cites OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.

Faster and Better LLMs via Latency-Aware Test-Time Scaling OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:23.295558Z digest=sha256:1bc72a1c34cbeabefa0529cf87d2398c681562f5f001f4f24d7e2d90708bc337

Observation 4a55ccb2-7b8f-43a4-b605-a5962d289216 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:23.344701Z digest=sha256:cc175da9ea6783dc361c9f83546c7d96ee9c1244cdd11db8aa8b01a6d4779a10

Observation 4b206e90-f942-4f54-b449-7a5212cfd523 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 33

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source=arxiv_source observed=2026-08-07T14:14:23.391333Z digest=sha256:b86367af6434e0fa8016afa9f3bae919e8d4527f9e6058a3b8c92abd57a21c9c

Observation d5f2f4f7-22bc-4f41-bb88-a4411fed815d · outbound

This paper cites Qwen2.5 Technical Report.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Qwen2.5 Technical Report

Reference 34

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no resolver link, observed 2026-08-07T14:14:23.470946Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:23.470946Z digest=sha256:84c5bec9583c0169eea22fe1d513e6e54fabb0e125cab8ea70e3c674b14dbbfb

Observation c46c84db-aff2-47da-9adb-06ab2e074e8b · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:23.566465Z digest=sha256:1e537727526b4b6dcc4bfcde4a164f74515d64695b132429dc350fb4686a5c75

Observation edf41162-daa5-4d41-bcd7-c1eeda2c85af · outbound

This paper cites an unresolved cited work.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-07T14:14:24.243516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:14:23.610993Z digest=sha256:a0e8723941774e82fbe714f0531c4d2cc17b415f0f757502ba1d42a6bd08fd3c

Observation b28ec7bd-1095-44a0-8644-3dc96c72738c · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

Faster and Better LLMs via Latency-Aware Test-Time Scaling Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:23.666202Z digest=sha256:0d92c976270318da69207df3ae48c4759717285e059e4f12c9c9677fc96794d4

Pith citing papers

No inbound Pith citation observations are available.