Paper Citation Record · LEDGER

No Free Lunch for Approximate MCMC

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2010.12514.

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

pith.paper-citation-record.v1
2010.12514 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:20:42.342352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:35:04.791549Z

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 21feb5ae-fa23-431c-b105-7943c5c23df3 · inbound

Predictive Coresets cites this paper.

Predictive Coresets No Free Lunch for Approximate MCMC

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:20:42.342352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f2cea6-404c-4e3c-ba6e-6cabddc3f100 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning No Free Lunch for Approximate MCMC

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:49.255250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c60a902-a37e-4291-86a8-b1b9437b185e · inbound

Variational predictive resampling cites this paper.

Variational predictive resampling No Free Lunch for Approximate MCMC

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:07.283966Z

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.

Observation 33b534be-e846-4aad-9364-7ce28ec0de03 · inbound

Variational predictive resampling cites this paper.

Variational predictive resampling No Free Lunch for Approximate MCMC

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:52:58.693202Z

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.

Observation 1315bbc9-70b6-41ca-8d1e-e939b388ec05 · inbound

Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods cites this paper.

Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods No Free Lunch for Approximate MCMC

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:02:32.275027Z

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.

Observation f38cc472-d7ff-4d76-ab7d-2d1c03ccfd97 · inbound

Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods cites this paper.

Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods No Free Lunch for Approximate MCMC

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.793004Z

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.

Observation a244a9e6-7772-4411-b03f-72d6550158d1 · inbound

Accurate and Efficient MCMC for Latent Position Models cites this paper.

Accurate and Efficient MCMC for Latent Position Models No Free Lunch for Approximate MCMC

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.784075Z

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.