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Paper Citation Record · LEDGER

Sampling with time-changed Markov processes

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2501.15155.

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

pith.paper-citation-record.v1
2501.15155 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:41:07.111673Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T23:00:23.007718Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 09b3ed6d-9c49-44c4-9d91-bc1fb2f05a4f · outbound

This paper cites Applying the generator of Y to ¯V we find eL ¯V(z) = 1 (1 + V(z))2 ⟨ ˜Φ(z), ∇V(z)⟩ + ˜λ(z) Z ( ¯V(y) − ¯V(z)) eQ(z, dy).

Sampling with time-changed Markov processes Applying the generator of Y to ¯V we find eL ¯V(z) = 1 (1 + V(z))2 ⟨ ˜Φ(z), ∇V(z)⟩ + ˜λ(z) Z ( ¯V(y) − ¯V(z)) eQ(z, dy)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.361735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.095687Z digest=sha256:6ed855641357a6f94b26cb39c68effefd23a3cf2e4ed56bc74af343f0ccbadab

Observation ca0989cc-3e2d-48de-8276-1438883f7a1d · outbound

This paper cites Az´ ema et al.

Sampling with time-changed Markov processes Az´ ema et al

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.399051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.083447Z digest=sha256:51fb7fe60ad9208e1f61ff48c3a3cc42b37fbbdc018c6f66327e61775632bf53

Observation e3d175a5-cbef-4bce-9a71-9ce9addc4f72 · outbound

This paper cites Z r(t2) r(t1) 1 s(Yt) 1 Yt∈Adt # ≥ 1 sC∆t Ex.

Sampling with time-changed Markov processes Z r(t2) r(t1) 1 s(Yt) 1 Yt∈Adt # ≥ 1 sC∆t Ex

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.387071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.087722Z digest=sha256:919f37672de5bf716e6047fb28929744243e95509990cd4ecf787279132a78d7

Observation 4c0e6c52-eff3-4a8f-ac1f-27a27a0e5633 · outbound

This paper cites the time elapsed before the process finally moves from its initial condition ( X0, V0) = ( x0, −1) to x1.

Sampling with time-changed Markov processes the time elapsed before the process finally moves from its initial condition ( X0, V0) = ( x0, −1) to x1

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.350256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.099587Z digest=sha256:85f2fef359b9fdddd81d07dbe9ed1b1282ce1c8723b57e106e80d45931a9118c

Observation a4515fc1-9b96-4563-a94c-24f291e72aff · outbound

This paper cites an unresolved cited work.

Sampling with time-changed Markov processes Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:41:07.338642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.104160Z digest=sha256:5ad3b37a8051bb2c4a7adb392b48091a604bd68433756780e51aa92790ebcb7c

Observation 267623e3-22e6-44b5-a07c-549fb451fb78 · outbound

This paper cites Consider a bounded set C ⊃ C.

Sampling with time-changed Markov processes Consider a bounded set C ⊃ C

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.327327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.107965Z digest=sha256:aae08feb17a116a8cfd2f925ae2ed41fa6176c15917c4f75539253ae07f771a8

Observation 38008c2c-badc-401d-b2c4-2fa1e1c425ec · outbound

This paper cites Assumption 4.12(3) gives that the process Y satisfies eLV(z) = eQV(z) − V(z) ≤ −(1 − W(z))V(z) + η1 C, that is a drift condition of the form (12).

Sampling with time-changed Markov processes Assumption 4.12(3) gives that the process Y satisfies eLV(z) = eQV(z) − V(z) ≤ −(1 − W(z))V(z) + η1 C, that is a drift condition of the form (12)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.315664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.111673Z digest=sha256:78545f08c6acbf5f0595b68eb4f37a0081c7102c7612242d3a50a9e03459f1aa

Observation 8a43f673-11a8-4f9d-89c5-00a2872f2646 · outbound

This paper cites Geometric ergodicity of the Bouncy Particle Sampler.

Sampling with time-changed Markov processes Geometric ergodicity of the Bouncy Particle Sampler

Reference 1995

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:07.410419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.060767Z digest=sha256:c197211e5690663859732e33c07c2e1ac59ea5ad98196b640853187aceddbda3

Observation be8cc288-e06c-4057-b0ae-7059dc7c7fba · outbound

This paper cites an unresolved cited work.

Sampling with time-changed Markov processes Unresolved cited work

Reference 2000

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:41:07.375032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.091783Z digest=sha256:254f3944cda9617cc7796c1679b0ea6ff1853fbe4a4fe50d3c2bee261560407c

Observation 99602244-5b33-436b-9cf7-6797da24bd78 · outbound

This paper cites Optimal importance sampling for overdamped Langevin dynamics.

Sampling with time-changed Markov processes Optimal importance sampling for overdamped Langevin dynamics

Reference 2011

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:41:07.192193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.056014Z digest=sha256:91d68ccce61a1b361bc6e1bccfb5debb0c4c64195ddfe34cfab414dc4fa1db52

Observation de508f7a-110c-478c-ad33-958689fe2a78 · outbound

This paper cites Optimizing the diffusion coefficient of overdamped Langevin dynamics.

Sampling with time-changed Markov processes Optimizing the diffusion coefficient of overdamped Langevin dynamics

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:07.065255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:07.065255Z digest=sha256:16f7d7b7b7b1ce60a65b83b674dff1295c32d0b7e53eaee6a95c29006c9aa3ef

Observation a3fe69f8-9240-45c6-b65d-db4d39736743 · outbound

This paper cites Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes.

Sampling with time-changed Markov processes Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:07.074586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:07.074586Z digest=sha256:41613de6a8fb8587eac6cde7c6981cac43537431b5d0fa50d0feda1090179af3

Observation a5ce228c-ade9-4d1a-8169-a4d586f775ba · outbound

This paper cites Gareth O.

Sampling with time-changed Markov processes Gareth O

Reference 2014

Resolution
verified exact
doi, observed 2026-08-10T14:41:07.142808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:41:07.079226Z digest=sha256:9fcac5c8517698e42b175b7e1697df3c34106738eb0cb90122505fd340593b91

Observation 4e870b7b-6e8d-41d9-ac22-64f5e6466988 · outbound

This paper cites Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process.

Sampling with time-changed Markov processes Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:07.070032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:07.070032Z digest=sha256:afbe1e01ac93d70e1141cb62bf6a50c9d9c4c7547b5fe797bfc8f616402470cf

Observation 09aa4148-3eb9-417b-b92b-c9492de28a51 · outbound

This paper cites Piecewise deterministic sampling with splitting schemes.

Sampling with time-changed Markov processes Piecewise deterministic sampling with splitting schemes

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:07.050971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:07.050971Z digest=sha256:18b58b40ddac8975e4e4f9cadd487c36b2f7459863f4480a1882f98cb270dda2

Pith citing papers

Observation 44da9e9c-2b17-4cf5-ac8b-693aa8f86f53 · inbound

Properties and limitations of geometric tempering for gradient flow dynamics cites this paper.

Properties and limitations of geometric tempering for gradient flow dynamics Sampling with time-changed Markov processes

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.372240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T23:00:23.007718Z digest=sha256:33f6bc01f6e465eea1487814bbf583ab58f502df264a147b3b5e26e30d4613c3