Paper Citation Record · LEDGER

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels

As of 4 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.16073.

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

pith.paper-citation-record.v1
2606.16073 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:20:25.848158Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13b9b79e-2311-4450-a467-8f472b970d06 · outbound

This paper cites At each iteration, the algorithm alternates between forward (on-policy) and backward (off-policy) updates.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels At each iteration, the algorithm alternates between forward (on-policy) and backward (off-policy) updates

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:25.111462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030f3a7f-d22d-4464-b8d6-00031c359595 · outbound

This paper cites Environment↓Parameter→lr𝜌 𝛾 𝑁 max grad clip GMM9 (𝑑=40)10 −4 100 10−1 102 10−3 ManyWell (𝑑=40)10 −5 10−1 10−2 102 10−5 Digits (𝑑=196)10 −4 100 10−1 5×10 1 10−3 A.6.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Environment↓Parameter→lr𝜌 𝛾 𝑁 max grad clip GMM9 (𝑑=40)10 −4 100 10−1 102 10−3 ManyWell (𝑑=40)10 −5 10−1 10−2 102 10−5 Digits (𝑑=196)10 −4 100 10−1 5×10 1 10−3 A.6

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:25.428397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c185a4-7663-4ea0-82a3-8a697854852a · outbound

This paper cites Harnessing the Power of Reinforcement Learning for Adaptive MCMC.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Harnessing the Power of Reinforcement Learning for Adaptive MCMC

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.613981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab8a942-8e5b-4a56-b41b-9147efb99d3e · outbound

This paper cites LetH𝑘 be the RKHS associated with a positive definite kernel𝑘.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels LetH𝑘 be the RKHS associated with a positive definite kernel𝑘

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:25.541351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f3a1d6-724a-48aa-b801-2f3ea5dafe67 · outbound

This paper cites an unresolved cited work.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:25.713140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3ae19d-aba5-43fd-b7dc-127494cb8734 · outbound

This paper cites an unresolved cited work.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:25.848158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53bcfe29-f77f-48bb-b288-5751a7dc5207 · outbound

This paper cites an unresolved cited work.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Unresolved cited work

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:25.279615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4bcbea4-5b6f-479e-8adf-17fa3a2f7188 · outbound

This paper cites Stopping Rules for Monte Carlo Methods: A Review.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Stopping Rules for Monte Carlo Methods: A Review

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.699027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25cfdfbd-2c3b-4389-8dcb-c52b414ecb69 · outbound

This paper cites Adaptive Destruction Processes for Diffusion Samplers.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Adaptive Destruction Processes for Diffusion Samplers

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.399466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 494902e1-d5aa-48d2-9349-0e8a3af8ce5d · outbound

This paper cites Experimental details A.1.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Experimental details A.1

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.843688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b219690-cf30-4f74-85a7-9432e6222773 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels NICE: Non-linear Independent Components Estimation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.263466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e291451-742e-494b-8744-9a81b6fbebd7 · outbound

This paper cites The target distribution is a continuous density over R196, obtained by training an invertible flow on 14×14 MNIST images.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels The target distribution is a continuous density over R196, obtained by training an invertible flow on 14×14 MNIST images

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.992555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea278b8-dbd6-4fe2-a455-c959caf82de3 · outbound

This paper cites Learning shortest paths with generative flow networks.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Learning shortest paths with generative flow networks

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.512414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b339838f-5448-41a2-b546-3ce924689008 · outbound

This paper cites Generative Flow Networks: a Markov Chain Perspective.

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels Generative Flow Networks: a Markov Chain Perspective

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T11:20:24.186587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.