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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=sha256:9fe630886bcaceb4d70f9270ff3ce9c43e9dd2303ce7e8c48ce392ffe97f5f6d

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=sha256:1857de34588b22f9b22749cea8c50ad8171bdda1295ca7a6b50b8a7a5a521c88

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=sha256:88d0ffa5782cb304f3bc358c8274bea8b2f10871f9f641810189947425715c5a

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=sha256:3f4ed840ad1b4b48d9793ae6aef10b52999a585684e07a905c61a71fbc48d7d9

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=sha256:101ca1bfa8066311e28a945674fa0b309b333dd653ff56acc7413b66af31c464

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=sha256:44c706e99959a0aa1d08b075711849827c2b6e617e7b4b84c86f0692d89321fa

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:a5d85718fe64f5788e70c9bb152600610076e72e7ac88c7e1db465962592ed65

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:c679db7800cc51a99a3270d84169b1e4e72cb257c5146dd65485c21f641e2fa2

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:abba343883cd8acfbf606b9f78a8c0a936e275b3e625c4e2eb18816d712c7b05

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:e180c05c6af345569fcee7901a22ca79401da9cb969576ae4d10789c4f51f825

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:d3b43ac68d2e109fad4d67811c6e399d4f58d8c4cd7d3c29163e3d6a8b32a5d9

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=sha256:04bb441ecb889aab8a9942b7ba74c66828652952a1a557ee75fd29840fe91ca9

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:f67b1c8c95a7a85a8b95f28d140760e8862b506d2474e757f6f6a945379a41b0

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=sha256:1bb125d549f8b8fe9cfea0f33a3d46eff83d044095eea2085ada8908a95e4032

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=sha256:95f04f18dda226461cbd9ce297e9161a1b2c063caaa54db141a4ee098a759f7f

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=sha256:43bf4097fa5b26157b998e08d53108aeaee9af78283b61d31610c84edf3870e3

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:aea1d45b75342fdb775d41efcc0eac549744295c1af1a983cc447bf4605b8a47

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:ddd80ace1946421f5125ed0445e34d8d9f580d84206700315d6caca601da49fe

Pith citing papers

No inbound Pith citation observations are available.