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Paper Citation Record · LEDGER

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2605.30532.

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

pith.paper-citation-record.v1
2605.30532 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:22:35.875578Z

measured 21 of 21 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

21 of 21 outbound references displayed

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  • verified fuzzy0
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  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b836523a-596b-422b-a587-9c94d4df7355 · outbound

This paper cites Self-Repellent Random Walks on General Graphs: Achieving Minimal Sampling Variance via Nonlinear Markov Chains.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Self-Repellent Random Walks on General Graphs: Achieving Minimal Sampling Variance via Nonlinear Markov Chains

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2fd3cb88-ea04-4cfb-a12b-4babd3f7ab94 · outbound

This paper cites Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs

Reference 2

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verified exact
arxiv_id, observed 2026-06-28T23:22:46.539577Z

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.

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Observation 7e0453e4-4e21-4816-a88a-b54244c01f3c · outbound

This paper cites Asymptotic Behavior of the ‘True’ Self-Avoiding Walk.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Asymptotic Behavior of the ‘True’ Self-Avoiding Walk

Reference 3

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:f6164c62cee797b7ab4d573a264cb80d339281d2c2b47a4ee844a4a1b2720473

Observation 2bcd702a-5c28-45af-b8dc-6ce839a0b688 · outbound

This paper cites The ‘True’ Self-Avoiding Walk with Bond Repulsion onZ: Limit Theo- rems.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration The ‘True’ Self-Avoiding Walk with Bond Repulsion onZ: Limit Theo- rems

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:2609ad7f2624cc3e0a67858871fec4e4e0ec638aa0b288f48b3f540e1986aed5

Observation e7b980bf-b430-4d5d-966d-c2039c26fddc · outbound

This paper cites Self-Repelling Random Walk with Directed Edges on Z.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Self-Repelling Random Walk with Directed Edges on Z

Reference 5

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:6253d9f0657303bb6382cc98fea1e6a6ea4803174444c6fbd20c832e39ac0a19

Observation b6a0e06b-487f-44c8-bc24-3281d5d68dca · outbound

This paper cites Self-Trapping Self-Repelling Random Walks.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Self-Trapping Self-Repelling Random Walks

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:f6dc4d103ec9587d1a31a1f44938831fc3512770b9ed1b07d3cb5c64f2c59b2d

Observation 8736ad89-9781-4f83-af3a-d21fda4b46cc · outbound

This paper cites Analysis of a Nonreversible Markov Chain Sampler.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Analysis of a Nonreversible Markov Chain Sampler

Reference 7

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:5118c122298e0d7fc66af035eef793b79aa58afa01300ea5cd7ee5d297da342c

Observation 25064ae1-fae4-42f2-8e7d-073c8622a809 · outbound

This paper cites Improving Asymptotic Variance of MCMC Estimators: Non-reversible Chains are Better.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Improving Asymptotic Variance of MCMC Estimators: Non-reversible Chains are Better

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:22:46.531256Z

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.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:42cc1eafb5739fb08e1f314365f8ddc98b9b187f77eed1a249a10cecca8ce854

Observation bc974744-3c3d-4eeb-bd7c-5d9799f38e88 · outbound

This paper cites Non-Backtracking Ran- dom Walks Mix Faster.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Non-Backtracking Ran- dom Walks Mix Faster

Reference 9

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:9baa4bf1fd66b7157ae274e70d98819d987a0e4776505013b6b8cdbb31284601

Observation 147fc05b-ed81-405a-840c-801888467e11 · outbound

This paper cites Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:22:46.533926Z

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.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:83ae4394743fc40dbbd4677fae8e08dd318171e6a3981c8129d2889d32a10674

Observation 68e6eef1-57e0-4375-9c48-582a4303e291 · outbound

This paper cites Irreversible Monte Carlo Algorithms for Efficient Sampling.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Irreversible Monte Carlo Algorithms for Efficient Sampling

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:0b4a94cbc526542c06a14fa1048734e95be9fca1c6dd2b94c574d3432a004fea

Observation 839c706e-28f8-4fbe-a9bc-8c6fb22c69eb · outbound

This paper cites Accelerating Reversible Markov Chains.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Accelerating Reversible Markov Chains

Reference 12

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:29b7b19af138edb79646e2fdefa128a2e80a6c935ce0712ee392a4e104cd1cc6

Observation 37567223-477d-4235-a075-d21207e292bb · outbound

This paper cites Irreversible Samplers from Jump and Continuous Markov Processes.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Irreversible Samplers from Jump and Continuous Markov Processes

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T23:22:46.537697Z

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.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:02aecde4c88cd0f34c0d3a985c17202f01ac0b00a7d45aee5bfba5bc111ac3f7

Observation b593259a-8e01-4a40-b64a-bc84b9c5137f · outbound

This paper cites Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees

Reference 14

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verified exact
arxiv_id, observed 2026-06-28T23:22:46.542557Z

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.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:b04bb8eb79ee66556c1d0220ee8996c7bfd2377ecd8ae35959d094906ee85e39

Observation 9a784578-4fa4-466e-ac44-fd6cfce76f48 · outbound

This paper cites On Convergence of Chains with Occupational Self-Interactions.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration On Convergence of Chains with Occupational Self-Interactions

Reference 15

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:3eaadee07b1eca2790429e085545dddf507a11b20aaeb4166b9312766b6d8743

Observation a235bf01-8094-4aef-90f9-fd26faac1662 · outbound

This paper cites Self-Interacting Markov Chains.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Self-Interacting Markov Chains

Reference 16

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:c155180b0cdb18ae633e0191d77eb6e55f6be3438868e4cc465fb31453f576f0

Observation 6aade512-31ca-40b8-9a44-ae0d7c708c3f · outbound

This paper cites Nonlinear Markov Chain Monte Carlo.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Nonlinear Markov Chain Monte Carlo

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:2f24018a8cddf832508a71cb3118a3ad9b50f945a7ca23ae09876f4b252edb0a

Observation 24f2af3b-d01a-4b5b-a769-f76fad0c6176 · outbound

This paper cites On Nonlinear Markov Chain Monte Carlo.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration On Nonlinear Markov Chain Monte Carlo

Reference 18

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:511704bb37244e453791eefbdc99ef4bbddb19660706df3c9991a90b6e7b2449

Observation 413d38a4-a058-4d9d-ac67-e7f11e3c8866 · outbound

This paper cites Interacting Markov Chain Monte Carlo Methods for Solving Nonlinear Measure-Valued Equations.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Interacting Markov Chain Monte Carlo Methods for Solving Nonlinear Measure-Valued Equations

Reference 19

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:9ef2169c5c8b625461f1b597c6f2638d2fa470ba084e0a11db73d953163d7151

Observation d23913d8-0afb-4085-9065-4ed3fda9616f · outbound

This paper cites Convergence of Adaptive and Interacting Markov Chain Monte Carlo Algorithms.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Convergence of Adaptive and Interacting Markov Chain Monte Carlo Algorithms

Reference 20

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:7348886665224902cf7d5393a17aff359efaebd23bc725f3c79934ad6ebe675e

Observation f471d3fd-1df5-44cc-9696-ab299af8dcc3 · outbound

This paper cites Central Limit Theorems for Stochastic Approximation with Controlled Markov Chain Dynamics.

True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration Central Limit Theorems for Stochastic Approximation with Controlled Markov Chain Dynamics

Reference 21

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source=pdf_text observed=2026-06-28T23:22:35.875578Z digest=sha256:d71f6d5406fb35efc3d35183e34da1464c4678bfe30668091e05717c89b053c4

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No inbound Pith citation observations are available.