Paper Citation Record · LEDGER

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.16043.

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

pith.paper-citation-record.v1
2506.16043 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:24.288710Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

verified exact1
verified fuzzy2
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d47c2c8-f0d3-470a-91d3-6b778fa7cdc3 · outbound

This paper cites Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.226273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e540efa-2fb3-4634-bd08-f39e197350a0 · outbound

This paper cites Sets: Leveraging self-verification and self-correction for improved test-time scaling.arXiv preprint arXiv:2501.19306,.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Sets: Leveraging self-verification and self-correction for improved test-time scaling.arXiv preprint arXiv:2501.19306,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.396435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75020ad-6eee-4253-a63f-a5dadfac1594 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.495664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1dffc48-5b3e-485f-844b-22ccc0ae2bac · outbound

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

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.585240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28fef33b-21e1-4d66-8a7b-351a7232b1c6 · outbound

This paper cites Scaling LLM Inference with Optimized Sample Compute Allocation.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:48:24.675376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d405f04f-a2fc-45f9-a601-187236bd3f5f · outbound

This paper cites Disc: Dynamic decomposition improves llm inference scaling.arXiv preprint arXiv:2502.16706,.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Disc: Dynamic decomposition improves llm inference scaling.arXiv preprint arXiv:2502.16706,

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:48:24.533166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b268ae39-a8ca-455c-ac26-18d7aada2edd · outbound

This paper cites MetaScale: Test-Time Scaling with Evolving Meta-Thoughts.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling MetaScale: Test-Time Scaling with Evolving Meta-Thoughts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.885449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98034956-2a7c-447a-ab41-25cca8119c50 · outbound

This paper cites Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.944186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce299b7-cfcd-4273-989a-806561b59ec2 · outbound

This paper cites Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:24.009626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4534c48b-06d5-4f36-a5ef-a54052e1f8de · outbound

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

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:24.063354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7d8b0a-e87d-43d6-87ca-94b4f407da40 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:24.139966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c7a105-c154-4107-85d9-e06e514fdb68 · outbound

This paper cites s1: Simple test-time scaling.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling s1: Simple test-time scaling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:24.205684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53ca326-8215-4a84-b17d-63bbe1d95642 · outbound

This paper cites When hindsight is not 20/20: Testing limits on reflective thinking in large language models.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling When hindsight is not 20/20: Testing limits on reflective thinking in large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.949839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4fe582ac-d6bd-4b48-95ff-05d66416fec0 · outbound

This paper cites Alphazero-like tree-search can guide large language model decoding and training.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Alphazero-like tree-search can guide large language model decoding and training

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.123890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a30c1c74-b806-4531-aeba-dff77327aa7d · outbound

This paper cites Theoretical guarantees on the best-of-n alignment policy.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Theoretical guarantees on the best-of-n alignment policy

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.000632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c87aef-8562-4b42-ac5a-2ba211690cd4 · outbound

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

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.089767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ae93d2-d9c2-4abf-b286-f50101a78a02 · outbound

This paper cites Scalable best-of-n selection for large language models via self-certainty.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Scalable best-of-n selection for large language models via self-certainty

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.323303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.