Paper Citation Record · LEDGER

Particle-based Generalised Stochastic Optimisation

As of 22 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.02844.

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

pith.paper-citation-record.v1
2608.02844 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:04:14.466705Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

13 of 13 outbound references displayed

verified exact2
verified fuzzy6
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92aa7c85-f460-4127-9214-479533d0e66b · outbound

This paper cites A Unifying and Canonical Description of Measure-Preserving Diffusions.

Particle-based Generalised Stochastic Optimisation A Unifying and Canonical Description of Measure-Preserving Diffusions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:04:14.544984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19627387-8a13-475d-b4c5-0b34e5ec725e · outbound

This paper cites Corollary 2 therefore verifiesA3 in the displayed hypocoercive metrics.

Particle-based Generalised Stochastic Optimisation Corollary 2 therefore verifiesA3 in the displayed hypocoercive metrics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:04:14.631687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b46ac227-17cd-4dfa-8179-8307bdf50b6a · outbound

This paper cites an unresolved cited work.

Particle-based Generalised Stochastic Optimisation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:04:14.582039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41c7e6aa-640b-4e9d-bc1b-586b29560dfd · outbound

This paper cites 21 Proof.Fix arbitraryt≥0,ϑ, ˜ϑ∈Θ×M,ν,˜ν∈P 2(X×V), andΛ∈Γ(ν,˜ν).

Particle-based Generalised Stochastic Optimisation 21 Proof.Fix arbitraryt≥0,ϑ, ˜ϑ∈Θ×M,ν,˜ν∈P 2(X×V), andΛ∈Γ(ν,˜ν)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:04:14.643634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b889318-ffb7-408c-bcff-3c62c84b2d19 · outbound

This paper cites The gradient is given for allx∈R d by ∇xEλ(θ,x) =∇ xg1(x) + 1 λ(x−prox λ g2(θ,x)), 27 where we treatθ as fixed in the minimisation overRdx.

Particle-based Generalised Stochastic Optimisation The gradient is given for allx∈R d by ∇xEλ(θ,x) =∇ xg1(x) + 1 λ(x−prox λ g2(θ,x)), 27 where we treatθ as fixed in the minimisation overRdx

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:04:14.620542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c762806a-b50b-4a31-8e45-a4f9fe246f1b · outbound

This paper cites an unresolved cited work.

Particle-based Generalised Stochastic Optimisation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:04:14.607999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee8e8999-7a1c-4158-b2c9-ba6e0b768eef · outbound

This paper cites an unresolved cited work.

Particle-based Generalised Stochastic Optimisation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:04:14.595443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51ebed0d-8b68-4864-a58c-78ac46ea08da · outbound

This paper cites C.2.1M-MFPODiscretisation We begin by constructing a discretisation to provide a concrete algorithm for our framework.

Particle-based Generalised Stochastic Optimisation C.2.1M-MFPODiscretisation We begin by constructing a discretisation to provide a concrete algorithm for our framework

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:04:14.569231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb151d7a-2eb6-46f9-95ed-e5441d781e50 · outbound

This paper cites In this limit, bXi n+1 = bXi n− h2 2∇xE(bθn, bXi n) +hξXi,1 n , bθn+1 =bθn− h2 2 ¯F(bθn, bX[N] n ).

Particle-based Generalised Stochastic Optimisation In this limit, bXi n+1 = bXi n− h2 2∇xE(bθn, bXi n) +hξXi,1 n , bθn+1 =bθn− h2 2 ¯F(bθn, bX[N] n )

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:04:14.557391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84acdc09-4cfd-41ad-8364-c54abd669fed · outbound

This paper cites Marion, P., Korba, A., Bartlett, P., Blondel, M., De Bortoli, V., Doucet, A., Llinares-López, F., Paquette, C., and Berthet, Q.

Particle-based Generalised Stochastic Optimisation Marion, P., Korba, A., Bartlett, P., Blondel, M., De Bortoli, V., Doucet, A., Llinares-López, F., Paquette, C., and Berthet, Q

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:04:14.655884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e05cb521-b7b9-40a2-91d2-4321a67f6fa9 · outbound

This paper cites Kinetic Interacting Particle Langevin Monte Carlo.

Particle-based Generalised Stochastic Optimisation Kinetic Interacting Particle Langevin Monte Carlo

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:04:14.516821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a56ec84a-0440-4e95-8179-50d2bc1abf33 · outbound

This paper cites How to Train Your Energy-Based Models.

Particle-based Generalised Stochastic Optimisation How to Train Your Energy-Based Models

Reference 407

Resolution: unresolved; no resolver link, observed 2026-08-15T15:04:14.430321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbc86ed-4cdb-4c18-b9ec-5219445f90fd · outbound

This paper cites Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations.

Particle-based Generalised Stochastic Optimisation Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations

Reference 1259

Resolution: unresolved; no resolver link, observed 2026-08-15T15:04:14.415210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.