Paper Citation Record · LEDGER

Kinetics: Rethinking Test-Time Scaling Laws

As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2506.05333.

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

pith.paper-citation-record.v1
2506.05333 v3

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:34.483002Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:02:10.742834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:07:26.497548Z

Reference resolution

71 of 71 outbound references displayed

verified exact1
verified fuzzy8
unresolved61
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3e1c9aa-981e-44c0-8247-7aadfae2d0be · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Kinetics: Rethinking Test-Time Scaling Laws Generating Long Sequences with Sparse Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.136063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa74093-ead3-4172-96c2-0b2c6f2007ea · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Kinetics: Rethinking Test-Time Scaling Laws DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.146751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc427bd5-eeff-4989-8953-b7c0243effef · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Kinetics: Rethinking Test-Time Scaling Laws FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.153354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4f7989-60bf-438d-b22d-0a3edc53b3a2 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Kinetics: Rethinking Test-Time Scaling Laws FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.160223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f07d6d81-b35a-4556-88e7-8332586eead3 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Kinetics: Rethinking Test-Time Scaling Laws PaLM-E: An Embodied Multimodal Language Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.170568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1bb6067-0114-418b-88a9-1221a291043c · outbound

This paper cites GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

Kinetics: Rethinking Test-Time Scaling Laws GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.175386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650cc220-635d-40a7-87eb-790fc13501dd · outbound

This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

Kinetics: Rethinking Test-Time Scaling Laws Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.180416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8808f87-8187-46b3-9431-efdea686e8d3 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Kinetics: Rethinking Test-Time Scaling Laws GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.185621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd607189-bf74-479a-b376-433772d9fc8f · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

Kinetics: Rethinking Test-Time Scaling Laws Efficiently Scaling LLM Reasoning with Certaindex

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.191878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d7580f4-6f6a-4601-8cf5-dec88e8761c1 · outbound

This paper cites The Llama 3 Herd of Models.

Kinetics: Rethinking Test-Time Scaling Laws The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.197508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de62fc4-092b-4c85-b8e4-cf4f2fee8dcb · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Kinetics: Rethinking Test-Time Scaling Laws Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.202494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319cf6c5-7717-482b-82be-f44cf6209a58 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Kinetics: Rethinking Test-Time Scaling Laws Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.208033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3213fc27-0748-4506-95da-a7dcec5555fc · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.212638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e81297c-22a1-4a77-a4fa-b7a48f9c5cc0 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Kinetics: Rethinking Test-Time Scaling Laws Training Large Language Models to Reason in a Continuous Latent Space

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.218780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25305e44-e40b-428b-8584-0e4fcba07bfe · outbound

This paper cites FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines.

Kinetics: Rethinking Test-Time Scaling Laws FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.224262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aebe028f-b09b-4c04-a860-f3b569b824fc · outbound

This paper cites Training Compute-Optimal Large Language Models.

Kinetics: Rethinking Test-Time Scaling Laws Training Compute-Optimal Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.229702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff9ac0f-3a18-4191-aadb-294c016b1eaa · outbound

This paper cites RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning.

Kinetics: Rethinking Test-Time Scaling Laws RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.235097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4684d1b-ae3d-4eea-adfa-6af9104d73fb · outbound

This paper cites Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.

Kinetics: Rethinking Test-Time Scaling Laws Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.240829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de9fd75-cbd9-49e7-a418-2b2aa24193d3 · outbound

This paper cites OpenAI o1 System Card.

Kinetics: Rethinking Test-Time Scaling Laws OpenAI o1 System Card

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.245848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c4ef5b-3e5d-487b-9efe-7f809c9c3acc · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.250861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d77db131-9fdd-4270-b3d4-b60bceb9474a · outbound

This paper cites Mixtral of Experts.

Kinetics: Rethinking Test-Time Scaling Laws Mixtral of Experts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.256194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b210226-1ba2-46f0-94b8-7912b1eae50a · outbound

This paper cites Hydragen: High-Throughput LLM Inference with Shared Prefixes.

Kinetics: Rethinking Test-Time Scaling Laws Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.260984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bc68a94-3af1-46cf-a565-c8e3bcc9ba3e · outbound

This paper cites Scaling Laws for Neural Language Models.

Kinetics: Rethinking Test-Time Scaling Laws Scaling Laws for Neural Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.265868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76025da5-ef94-4ebe-8eeb-f32aeb2484fd · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Kinetics: Rethinking Test-Time Scaling Laws Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.796708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d234a47-80c2-4656-af6e-d0da2da7c236 · outbound

This paper cites Scaling Laws for Precision.

Kinetics: Rethinking Test-Time Scaling Laws Scaling Laws for Precision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.276380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd93f266-aebd-4860-898d-fa8039fe0722 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Kinetics: Rethinking Test-Time Scaling Laws Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.281722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2454521-1f96-4c0d-9db6-19094b230dda · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Kinetics: Rethinking Test-Time Scaling Laws SnapKV: LLM Knows What You are Looking for Before Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.286618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9b9dfd-afad-454e-860b-10b93b92b3a4 · outbound

This paper cites QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

Kinetics: Rethinking Test-Time Scaling Laws QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.291765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae6aa1cd-1746-42ff-8082-e452897bb7ce · outbound

This paper cites KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

Kinetics: Rethinking Test-Time Scaling Laws KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.297272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d9c9fdf-5334-4227-925f-8f8302f45092 · outbound

This paper cites an unresolved cited work.

Kinetics: Rethinking Test-Time Scaling Laws Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:35.778962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 327fddec-e36e-4899-b590-8eb377646723 · outbound

This paper cites Inference-time sparse attention with asymmetric indexing.

Kinetics: Rethinking Test-Time Scaling Laws Inference-time sparse attention with asymmetric indexing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.307068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6b4959-a0ee-4c86-bf6a-b733d232845e · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.312390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a848a160-e230-4f4b-b078-7d83ce424bda · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

Kinetics: Rethinking Test-Time Scaling Laws Accelerating Sparse Deep Neural Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.317338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743c9c38-d04b-4836-b21a-06d09e09ade4 · outbound

This paper cites CoTFormer: A Chain-of-Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference.

Kinetics: Rethinking Test-Time Scaling Laws CoTFormer: A Chain-of-Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.322488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a713a549-6d60-4aff-ba70-eaf95ecab93c · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Kinetics: Rethinking Test-Time Scaling Laws WebGPT: Browser-assisted question-answering with human feedback

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.332718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18310f8-bbd4-46bd-84b3-15266c4354f5 · outbound

This paper cites The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs.

Kinetics: Rethinking Test-Time Scaling Laws The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.338653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c34e59-d711-4541-a1ac-66f583637435 · outbound

This paper cites Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation.

Kinetics: Rethinking Test-Time Scaling Laws Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.344195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e2c1442-353e-4789-9106-62e5ca832e3e · outbound

This paper cites Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Y.

Kinetics: Rethinking Test-Time Scaling Laws Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Y

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.761542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a899b0a-ddf2-4b4d-925a-6af2c1f3fde8 · outbound

This paper cites Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners.

Kinetics: Rethinking Test-Time Scaling Laws Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.355793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad4fde1-361c-49c6-b4aa-03316ac2335f · outbound

This paper cites MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding.

Kinetics: Rethinking Test-Time Scaling Laws MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.361014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e7e5aa-9c34-4451-bf7a-0d520a1403d1 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Kinetics: Rethinking Test-Time Scaling Laws Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.366945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 644ba042-e62d-43e8-b36d-cda667cc8f7d · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.371804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2122038e-f8b7-4b8f-8ae8-c0b6172ef580 · outbound

This paper cites ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference.

Kinetics: Rethinking Test-Time Scaling Laws ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.376950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9d6edd-9263-434b-b776-3b3437af8323 · outbound

This paper cites LLM Pretraining with Continuous Concepts.

Kinetics: Rethinking Test-Time Scaling Laws LLM Pretraining with Continuous Concepts

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.382006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b93b88b-f13c-4dd1-a139-1f5daea7b325 · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

Kinetics: Rethinking Test-Time Scaling Laws Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.386755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6006ae1-8995-429c-99c8-0c3945142982 · outbound

This paper cites M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models.

Kinetics: Rethinking Test-Time Scaling Laws M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.398504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba3c48d-c8c0-46ff-823f-a30d79e9b952 · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.403798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73ac66e-3bca-4c1e-aa00-dc59004ac2fe · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Kinetics: Rethinking Test-Time Scaling Laws Efficient Streaming Language Models with Attention Sinks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.409258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07c3763-8c89-4860-8531-e0bfb19271a4 · outbound

This paper cites Qwen2 Technical Report.

Kinetics: Rethinking Test-Time Scaling Laws Qwen2 Technical Report

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.414362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e7a974-fe98-4837-832b-e201e5be6bc5 · outbound

This paper cites Qwen3 Technical Report.

Kinetics: Rethinking Test-Time Scaling Laws Qwen3 Technical Report

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.419331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c04b01e-0c77-456a-bba7-8938d89d8292 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Kinetics: Rethinking Test-Time Scaling Laws Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.424839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcfdf893-6348-4cbd-95bc-e83b1ef50f6a · outbound

This paper cites LLM Inference Unveiled: Survey and Roofline Model Insights.

Kinetics: Rethinking Test-Time Scaling Laws LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.430496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed5c8bc-4d41-4e67-944b-094d4c152d89 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Kinetics: Rethinking Test-Time Scaling Laws OPT: Open Pre-trained Transformer Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.435806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9636216e-aac4-4212-a1ed-e54d8b11d05d · outbound

This paper cites NanoFlow: Towards Optimal Large Language Model Serving Throughput.

Kinetics: Rethinking Test-Time Scaling Laws NanoFlow: Towards Optimal Large Language Model Serving Throughput

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.441416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 144903df-542b-4753-9db1-1e5b0d74243d · outbound

This paper cites For the Qwen3 series, this additional overhead is bounded by 3.57% for the 0.6B model and by 1.56% for the 32B model.

Kinetics: Rethinking Test-Time Scaling Laws For the Qwen3 series, this additional overhead is bounded by 3.57% for the 0.6B model and by 1.56% for the 32B model

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.726672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f312401-9f31-4b72-a821-c92e42ddf92a · outbound

This paper cites LiveCodeBench features complex programming problems from recent coding contests, while AIME25 consists of challenging math problems.

Kinetics: Rethinking Test-Time Scaling Laws LiveCodeBench features complex programming problems from recent coding contests, while AIME25 consists of challenging math problems

Reference 65

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T10:30:35.708929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfb97397-1dab-46e5-9431-1a22820548a2 · outbound

This paper cites In parallel, approaches like FlashAttention (Dao et al., 2022; Dao,.

Kinetics: Rethinking Test-Time Scaling Laws In parallel, approaches like FlashAttention (Dao et al., 2022; Dao,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.691225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f65f81ba-b263-4109-9fa5-77478e6f9397 · outbound

This paper cites an unresolved cited work.

Kinetics: Rethinking Test-Time Scaling Laws Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:35.672934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63f381e5-9da3-44d9-97a1-9ea056c8ae3f · outbound

This paper cites Our analysis builds on the practical designs and implementations of these systems.

Kinetics: Rethinking Test-Time Scaling Laws Our analysis builds on the practical designs and implementations of these systems

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.657421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26519990-d61a-47b4-893f-a381711f8071 · outbound

This paper cites Additionally, model compression and offloading (Dettmers et al., 2022; Lin et al., 29 2024a; Svirschevski et al., 2024; Sheng et al., 2023; Frantar et al.,.

Kinetics: Rethinking Test-Time Scaling Laws Additionally, model compression and offloading (Dettmers et al., 2022; Lin et al., 29 2024a; Svirschevski et al., 2024; Sheng et al., 2023; Frantar et al.,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.638920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 485c0785-0d1c-4cba-bf9b-1950eb07c03e · outbound

This paper cites an unresolved cited work.

Kinetics: Rethinking Test-Time Scaling Laws Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:35.621091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6afc88df-97f5-4a9d-bda0-c1a779b24991 · outbound

This paper cites Efficient reward-model-based (Wu et al., 2024; Snell et al., 2024; Sun et al., 2024c) test-time scaling algorithms are also comprehensively studied.

Kinetics: Rethinking Test-Time Scaling Laws Efficient reward-model-based (Wu et al., 2024; Snell et al., 2024; Sun et al., 2024c) test-time scaling algorithms are also comprehensively studied

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.604606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90dada2a-a842-4645-8862-d9b62d8c81e1 · outbound

This paper cites Nvidia blackwell platform: Advancing generative ai and accelerated computing.

Kinetics: Rethinking Test-Time Scaling Laws Nvidia blackwell platform: Advancing generative ai and accelerated computing

Reference 1996

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:35.744729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c49558e-3fa6-4a63-8b8f-92ce35c12372 · outbound

This paper cites s1: Simple test-time scaling.

Kinetics: Rethinking Test-Time Scaling Laws s1: Simple test-time scaling

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.327205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557f2613-81ad-44b6-9090-c975746cc0df · outbound

This paper cites Rethinking Attention with Performers.

Kinetics: Rethinking Test-Time Scaling Laws Rethinking Attention with Performers

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.141313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de5f4a4-4bf0-4e26-9c4d-e303b78c1df2 · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.114066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8106308-40c9-48c7-ab8e-97516f9a1067 · outbound

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

Kinetics: Rethinking Test-Time Scaling Laws Accelerating Large Language Model Decoding with Speculative Sampling

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.125280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13201d32-6782-410b-ab1b-7664bb36fd8b · outbound

This paper cites SMYRF: Efficient Attention using Asymmetric Clustering.

Kinetics: Rethinking Test-Time Scaling Laws SMYRF: Efficient Attention using Asymmetric Clustering

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:30:35.334950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8e64e95-ca1d-49b7-bed5-f699951ef985 · outbound

This paper cites Reinforcement Learning for Long-Horizon Interactive LLM Agents.

Kinetics: Rethinking Test-Time Scaling Laws Reinforcement Learning for Long-Horizon Interactive LLM Agents

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.130495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a14e433-d084-41a8-b1a7-a3f68645201e · outbound

This paper cites LoCoCo: Dropping In Convolutions for Long Context Compression.

Kinetics: Rethinking Test-Time Scaling Laws LoCoCo: Dropping In Convolutions for Long Context Compression

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.119273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf7534e3-9452-4d0e-8355-73f3ff28b719 · outbound

This paper cites Daman Arora and Andrea Zanette.

Kinetics: Rethinking Test-Time Scaling Laws Daman Arora and Andrea Zanette

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:34.108187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a9623f3c-31bf-46fb-83f7-9e303317fef2 · inbound

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models cites this paper.

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models Kinetics: Rethinking Test-Time Scaling Laws

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:07:26.499198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 729314ea-acfa-49bb-bb0f-bc4e55f461f7 · inbound

Interpretable Adaptive Sampling for LLM Test-Time Scaling cites this paper.

Interpretable Adaptive Sampling for LLM Test-Time Scaling Kinetics: Rethinking Test-Time Scaling Laws

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:10.742834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.