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Paper Citation Record · LEDGER

No Free Lunch for Stochastic Gradient Langevin Dynamics

As of 15 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.01952.

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

pith.paper-citation-record.v1
2412.01952 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:11:52.706260Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 761880ed-d711-41bb-991a-c2140a878f21 · outbound

This paper cites The pseudo-marginal approach for efficient M onte C arlo computations.

No Free Lunch for Stochastic Gradient Langevin Dynamics The pseudo-marginal approach for efficient M onte C arlo computations

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:53.079475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.620671Z digest=sha256:aefe7cb32f75ac444d55a530c749af2956462e17e11810551d4e7dd217bab9cd

Observation e42d1bac-a328-4b5a-abf0-f5fe4ff3be4a · outbound

This paper cites On M arkov chain M onte C arlo methods for tall data.

No Free Lunch for Stochastic Gradient Langevin Dynamics On M arkov chain M onte C arlo methods for tall data

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:53.061293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.625711Z digest=sha256:ce4a963e04ebda9cd0af6f33fccb8d9163fed7b112e1b2e496314c8f7f0fc837

Observation c6e6ae7c-7d08-4b79-b32f-e7283061cfff · outbound

This paper cites Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent.

No Free Lunch for Stochastic Gradient Langevin Dynamics Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T00:11:52.630361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:11:52.630361Z digest=sha256:329c0516873eea5bcd917bad254c73f084c00398f4fcf4c5585be297cc1ac9aa

Observation 52266555-d7e9-49f7-a6b7-746af9665f8e · outbound

This paper cites Stochastic gradient H amiltonian M onte C arlo.

No Free Lunch for Stochastic Gradient Langevin Dynamics Stochastic gradient H amiltonian M onte C arlo

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:53.038477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.635471Z digest=sha256:06b7d37cd4ad70aba66e8e9c58d2f0ca348e37d11eae68ddb56d6898502ed406

Observation be5c9e22-7d8c-4045-b857-287eda1ee054 · outbound

This paper cites A general method for lower bounds on fluctuations of random variables.

No Free Lunch for Stochastic Gradient Langevin Dynamics A general method for lower bounds on fluctuations of random variables

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:53.019911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.640286Z digest=sha256:9f7d0a1b107e13258e7def28bfdb98a164e555905b86708e9d227179be7948d5

Observation 77609a07-65af-4c19-90a3-12f723754659 · outbound

This paper cites Bayesian inference via sparse H amiltonian flows.

No Free Lunch for Stochastic Gradient Langevin Dynamics Bayesian inference via sparse H amiltonian flows

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.999381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.644568Z digest=sha256:55a257cca8ddc3a593d6f161c8e4006af89e3f3529f854217b0cf80da010202f

Observation c544a55c-e501-41b1-b836-8d64235c7f24 · outbound

This paper cites Dalalyan and Avetik Karagulyan.

No Free Lunch for Stochastic Gradient Langevin Dynamics Dalalyan and Avetik Karagulyan

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.981564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.649222Z digest=sha256:ef15cd35559b7accc797fc5be8e0e47b6e03c2051a5c07bb894c491c2a1e74e0

Observation 0072f4a2-941d-488a-b923-c580dcfc2387 · outbound

This paper cites Minibatch G ibbs sampling on large graphical models.

No Free Lunch for Stochastic Gradient Langevin Dynamics Minibatch G ibbs sampling on large graphical models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.967553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.658506Z digest=sha256:26c80e798af6e64c47860e099f0d96f70045cd4ebdc4042ff568417b3c25bc69

Observation 5c394dbf-b8e4-46f2-9e79-417174be70c6 · outbound

This paper cites No Free Lunch for Approximate MCMC.

No Free Lunch for Stochastic Gradient Langevin Dynamics No Free Lunch for Approximate MCMC

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T00:11:52.662658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:11:52.662658Z digest=sha256:184bcea774086f76aeedca4a142d74ae2a144b60094f53a212a869780474b15e

Observation a28e7154-d05e-4787-b2e3-0ab47028a364 · outbound

This paper cites Austerity in MCMC land: Cutting the M etropolis- H astings budget.

No Free Lunch for Stochastic Gradient Langevin Dynamics Austerity in MCMC land: Cutting the M etropolis- H astings budget

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.952099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.668051Z digest=sha256:3576277b2f71baba924e2264d2b8da8ed2789f41310ab9d2e97dc689a12d0eeb

Observation 1dba416c-574d-4414-993c-9a8da3866021 · outbound

This paper cites The True Cost of Stochastic Gradient Langevin Dynamics.

No Free Lunch for Stochastic Gradient Langevin Dynamics The True Cost of Stochastic Gradient Langevin Dynamics

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T00:11:52.672217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:11:52.672217Z digest=sha256:b5e6d9e8130ec1b67cbcf02a05022393f50704b0541b872c2b7ce0abf4048b4e

Observation 7295021c-db97-4dea-b57c-9695dbc400ab · outbound

This paper cites Lower Bounds for the Total Variation Distance Given Means and Variances of Distributions.

No Free Lunch for Stochastic Gradient Langevin Dynamics Lower Bounds for the Total Variation Distance Given Means and Variances of Distributions

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:11:52.750071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.678280Z digest=sha256:a6787d243e21ba2879e0ecfd12cc20a1ebf64b6277634c77137bfbae04ce86b4

Observation 126c8664-5bc2-4d00-9151-649e9f5d82dd · outbound

This paper cites an unresolved cited work.

No Free Lunch for Stochastic Gradient Langevin Dynamics Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:11:52.934390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.683783Z digest=sha256:9feabcf285f2986672c29f1ba9b8a79b8959bc891655fc388fe89d44f6fc667a

Observation 8407d891-b425-430f-8b89-2ed35c6d82fc · outbound

This paper cites Subsampling MCMC - an introduction for the survey statistician.

No Free Lunch for Stochastic Gradient Langevin Dynamics Subsampling MCMC - an introduction for the survey statistician

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.912091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.689233Z digest=sha256:b6c2c0b652a0526ad837a2face6f50bf3196f9a937e1bf257a96dcd088dbaffd

Observation 471babab-9bbe-40d4-a896-e4e44aa0885b · outbound

This paper cites Speeding up MCMC by efficient data subsampling.

No Free Lunch for Stochastic Gradient Langevin Dynamics Speeding up MCMC by efficient data subsampling

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.894733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.693785Z digest=sha256:91995ee22dfd16e914b206698bad936654bf4cf763ce31065a34d84fa3151e45

Observation 23a552a6-413e-4fa2-8007-9c7f70387a8e · outbound

This paper cites Perturbation theory for M arkov chains via W asserstein distance.

No Free Lunch for Stochastic Gradient Langevin Dynamics Perturbation theory for M arkov chains via W asserstein distance

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.876613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.697892Z digest=sha256:10baae8666bac857e91686a855badcd69763a8b48788189995d5cea404845af9

Observation 5edcfa3f-359e-4dd9-900d-3f2e53b3d525 · outbound

This paper cites Perturbations of M arkov chains, 2024.

No Free Lunch for Stochastic Gradient Langevin Dynamics Perturbations of M arkov chains, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.862056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.702058Z digest=sha256:2955a1b6ad898bc7fb80c8dd69342c99350757d580bff144db8137e546ea814f

Observation eb6d7bc1-6c76-4b03-9506-a6d54d74b5e0 · outbound

This paper cites Bayesian learning via stochastic gradient L angevin dynamics.

No Free Lunch for Stochastic Gradient Langevin Dynamics Bayesian learning via stochastic gradient L angevin dynamics

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:11:52.840629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T00:11:52.706260Z digest=sha256:8434f737a4e97d02e80c166d38f0dd76ed2ad38347be058fb308b75bfca3d153

Pith citing papers

No inbound Pith citation observations are available.