Paper Citation Record · LEDGER

MCMC for multi-modal distributions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.05908.

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

pith.paper-citation-record.v1
2501.05908 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:21:33.685404Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:17:33.783214Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 22d08b0b-972f-4aa0-af77-4fc3ccdcb0e3 · inbound

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling cites this paper.

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling MCMC for multi-modal distributions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:46:45.368667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 10a6ce67-b834-445c-af81-95b63e49371b · inbound

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees cites this paper.

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees MCMC for multi-modal distributions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T20:21:33.685404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123726dd-e432-46b6-9538-d201d17bdfb4 · inbound

Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation cites this paper.

Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation MCMC for multi-modal distributions

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:27:49.606399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8d53be3-2a8c-44cc-8c2b-4193f7943948 · inbound

Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling cites this paper.

Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling MCMC for multi-modal distributions

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T20:17:33.784471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39887d5f-b688-41ca-8ed8-09562256be51 · inbound

Diffusion models recover accurate mixture weights despite score function insensitivity cites this paper.

Diffusion models recover accurate mixture weights despite score function insensitivity MCMC for multi-modal distributions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T23:23:45.269879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.