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Paper Citation Record · LEDGER

Fast-Mixing Markov Chains without Gradients

As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2606.27564.

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

pith.paper-citation-record.v1
2606.27564 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:33:12.995989Z

measured 58 of 58 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T08:34:53.236907Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T08:36:06.067727Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3515656-c8d6-4d66-96e0-ad05d8d054ab · outbound

This paper cites and Yu, Bin , journal =.

Fast-Mixing Markov Chains without Gradients and Yu, Bin , journal =

Reference 1

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Observation 606fbe6f-8857-4660-9dc1-7517e045b9ec · outbound

This paper cites an unresolved cited work.

Fast-Mixing Markov Chains without Gradients Unresolved cited work

Reference 2

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Observation cf2cc373-c531-4d43-9fb9-e0ebb064bb76 · outbound

This paper cites an unresolved cited work.

Fast-Mixing Markov Chains without Gradients Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:1e17268e710ee4d5f657ad767b82515d99d5ef89bf67c6d48fbe13c883c1501d

Observation 0d39e26f-e354-4746-b4cb-caa172837059 · outbound

This paper cites Random structures & algorithms , volume =.

Fast-Mixing Markov Chains without Gradients Random structures & algorithms , volume =

Reference 4

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Observation 92348349-d0af-4ca5-8ede-fa183ae3bc67 · outbound

This paper cites an unresolved cited work.

Fast-Mixing Markov Chains without Gradients Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:c71907287fc5f620c0b0c039e32f9db6cfc1d597d6f7c102c0a944c85e684415

Observation e57fbd38-932c-4321-a466-21df4353549d · outbound

This paper cites Biometrika , volume =.

Fast-Mixing Markov Chains without Gradients Biometrika , volume =

Reference 6

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:45877c3d53335a52a820a2898b47d957de58bf72e7a4d861f3cb9088bd892b6a

Observation 6bb6fa13-6bbe-4fa3-83a2-dad823416138 · outbound

This paper cites Acta numerica , volume =.

Fast-Mixing Markov Chains without Gradients Acta numerica , volume =

Reference 7

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:e7b0f935f0dd91d4df29395367bcc368d23cb9b8ff20542e20feffa2599077f0

Observation 139f991c-5a07-4551-afe2-4dd3adfc8ba5 · outbound

This paper cites Probability theory and related fields , volume =.

Fast-Mixing Markov Chains without Gradients Probability theory and related fields , volume =

Reference 8

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Observation a052d4b0-f931-4ccc-8f76-8e29ffcf0905 · outbound

This paper cites SIAM/ASA journal on uncertainty quantification , volume =.

Fast-Mixing Markov Chains without Gradients SIAM/ASA journal on uncertainty quantification , volume =

Reference 9

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:c25228c93da6637b6f77f38fe133ef64de8d30bee49cba09968f9fca1bbecdce

Observation 7a8c748c-3b9d-43db-b884-ead15fb10126 · outbound

This paper cites Handbook of markov chain monte carlo , volume =.

Fast-Mixing Markov Chains without Gradients Handbook of markov chain monte carlo , volume =

Reference 10

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Observation 6af069dc-c447-40ec-9a32-9e3ab6e4fd9a · outbound

This paper cites 2001 , publisher =.

Fast-Mixing Markov Chains without Gradients 2001 , publisher =

Reference 11

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:5cddf5377703e703243d158b272249358105e0956e70e38fe694748ddddf5739

Observation 3b6ab801-e977-4bf5-b6b0-266ebf866a05 · outbound

This paper cites The journal of chemical physics , volume =.

Fast-Mixing Markov Chains without Gradients The journal of chemical physics , volume =

Reference 12

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Observation 6dc55f09-d146-4f7c-992a-01bf9b3b84aa · outbound

This paper cites Monte Carlo sampling methods using Markov chains and their applications , journal =.

Fast-Mixing Markov Chains without Gradients Monte Carlo sampling methods using Markov chains and their applications , journal =

Reference 13

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Observation 8873dc0d-53af-4611-baa0-0a9115c51b25 · outbound

This paper cites Philosophical Transactions of the Royal Society A , volume =.

Fast-Mixing Markov Chains without Gradients Philosophical Transactions of the Royal Society A , volume =

Reference 14

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Observation 5d9799b9-fb72-4526-a9ea-484ee1c03955 · outbound

This paper cites Mathematical programming , volume =.

Fast-Mixing Markov Chains without Gradients Mathematical programming , volume =

Reference 15

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Observation 67767f3b-6c6c-46ed-8758-dd39ad97c92f · outbound

This paper cites Journal of Machine Learning Research , volume =.

Fast-Mixing Markov Chains without Gradients Journal of Machine Learning Research , volume =

Reference 16

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Observation 04df882d-dff1-4fe1-bb51-5a10df7940d2 · outbound

This paper cites science , volume =.

Fast-Mixing Markov Chains without Gradients science , volume =

Reference 17

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Observation 9237781a-d4d3-4e7a-bae8-7cabcba3c988 · outbound

This paper cites Europhysics letters , volume =.

Fast-Mixing Markov Chains without Gradients Europhysics letters , volume =

Reference 18

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Observation 452036cf-d96c-45b0-ac72-87ce74d611dc · outbound

This paper cites Journal of the American Statistical Association , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the American Statistical Association , volume =

Reference 19

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Observation d555f431-5be9-410f-8783-ba5486ae3b7f · outbound

This paper cites Journal of Computational and Graphical statistics , volume =.

Fast-Mixing Markov Chains without Gradients Journal of Computational and Graphical statistics , volume =

Reference 20

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:79b792ede52fb0757e4b3f9d6d1fff5efd1fd0de8f4b5ecea1f4b5afc277fc26

Observation fb7d277d-a164-4711-8fcc-294ee603a811 · outbound

This paper cites 2009 , journal =.

Fast-Mixing Markov Chains without Gradients 2009 , journal =

Reference 21

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Observation 08188cc6-1bdb-47c9-b996-a03b1df17476 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 22

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Observation 92a9c970-963d-4ff7-a403-40aef81ff85a · outbound

This paper cites Roberts and Richard L.

Fast-Mixing Markov Chains without Gradients Roberts and Richard L

Reference 23

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Observation d9fd0102-5bc6-487c-afc9-f33918e97821 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 24

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Observation 43fc6d68-9211-41b4-83e6-8bfc436a5828 · outbound

This paper cites IMA Journal of Numerical Analysis , volume =.

Fast-Mixing Markov Chains without Gradients IMA Journal of Numerical Analysis , volume =

Reference 25

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Observation 9aa4a979-4842-43c6-9988-d82d94dac6a5 · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Fast-Mixing Markov Chains without Gradients SIAM Journal on Scientific Computing , volume =

Reference 26

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Observation 63671b39-1b39-437c-9b88-ef8f4c26e1c8 · outbound

This paper cites Physics letters B , volume =.

Fast-Mixing Markov Chains without Gradients Physics letters B , volume =

Reference 27

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Observation 746e51d6-886f-4e2a-94f3-2ffd675b2e76 · outbound

This paper cites , author =.

Fast-Mixing Markov Chains without Gradients , author =

Reference 28

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Observation 64441a46-17a2-46b8-914a-ca585805cc4c · outbound

This paper cites On the convergence of Hamiltonian Monte Carlo.

Fast-Mixing Markov Chains without Gradients On the convergence of Hamiltonian Monte Carlo

Reference 29

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local_arxiv, observed 2026-07-01T19:06:03.427493Z

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Observation b29b9e7a-f12a-4fe8-918b-620473996fd5 · outbound

This paper cites 2014 , journal =.

Fast-Mixing Markov Chains without Gradients 2014 , journal =

Reference 30

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Observation 34c64bb8-c8ac-4360-a6ab-38793531638c · outbound

This paper cites 2020 , publisher =.

Fast-Mixing Markov Chains without Gradients 2020 , publisher =

Reference 31

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Observation ed6cbff5-e300-4f42-ad2f-57f2a0a52c75 · outbound

This paper cites Mathematics of Computation , volume =.

Fast-Mixing Markov Chains without Gradients Mathematics of Computation , volume =

Reference 32

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Observation e2253a70-4abc-4b02-8a69-5a5e51ba3b0a · outbound

This paper cites The SMAI journal of computational mathematics , volume =.

Fast-Mixing Markov Chains without Gradients The SMAI journal of computational mathematics , volume =

Reference 33

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Observation 8ce7b8cd-914b-43de-9f6a-c54417747dcf · outbound

This paper cites Nature machine intelligence , volume =.

Fast-Mixing Markov Chains without Gradients Nature machine intelligence , volume =

Reference 34

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Observation 8ea6954e-0b47-43d3-87e4-df28bb9494b2 · outbound

This paper cites ICLR 2023 workshop on physics for machine learning , year =.

Fast-Mixing Markov Chains without Gradients ICLR 2023 workshop on physics for machine learning , year =

Reference 35

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Observation 125f79a3-d768-4e23-9450-9f799b9b12bb · outbound

This paper cites Measure transport via polynomial density surrogates.

Fast-Mixing Markov Chains without Gradients Measure transport via polynomial density surrogates

Reference 36

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arxiv_id, observed 2026-07-01T19:06:03.429847Z

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Observation f7b9dfe4-f20b-456b-9e15-9bedd21a979e · outbound

This paper cites Water Resources Research , volume =.

Fast-Mixing Markov Chains without Gradients Water Resources Research , volume =

Reference 37

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Observation 549d13eb-90b4-4bf2-b255-b088619aa807 · outbound

This paper cites Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3.

Fast-Mixing Markov Chains without Gradients Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3

Reference 38

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arxiv_id, observed 2026-07-01T19:06:03.425277Z

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:ffde536ca9e9e3ba0b3b04dc93d4f13f26d0c7a0295a8162ab5bf05b201d23c8

Observation cea99ea3-2a31-4877-8bc4-0356eba96ede · outbound

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Fast-Mixing Markov Chains without Gradients 2023 , publisher =

Reference 39

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Observation 3b880403-657b-4736-a304-145cf13904d1 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 40

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Observation 026b8770-91b0-4160-94b7-23cf8673cbec · outbound

This paper cites Journal of the Royal Statistical Society Series C: Applied Statistics , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the Royal Statistical Society Series C: Applied Statistics , volume =

Reference 41

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:c88874d691eacc9c0278e852ebb19e5bc2da460220093cf88ccad847ca858188

Observation 67fd8f3b-3b86-486f-a746-d2f0821696c5 · outbound

This paper cites Statistica Sinica , pages =.

Fast-Mixing Markov Chains without Gradients Statistica Sinica , pages =

Reference 42

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:aa8993332763c0cf6f91e5b380634bacca22e4deaedabd32b69c133c7ad6cae7

Observation 3368f4fc-df18-421e-a828-827922525897 · outbound

This paper cites Journal of the American statistical Association , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the American statistical Association , volume =

Reference 43

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:1f8279f670d2feaa38f126f039ed4fd22aa51011d1fcc46bb384a3ef47b8d9a1

Observation 4a02c3c5-5442-4b61-a4c6-7ca641cb9e5e · outbound

This paper cites SIAM Journal on Numerical Analysis , volume =.

Fast-Mixing Markov Chains without Gradients SIAM Journal on Numerical Analysis , volume =

Reference 44

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:9d0c795bebdee7dc39110ea7a9bc4219ff4ef4709e5ddc6fed3e7b0cf756ea45

Observation 87da8174-336c-46e1-bda9-a4e495c8eff4 · outbound

This paper cites SIAM/ASA Journal on Uncertainty Quantification , volume =.

Fast-Mixing Markov Chains without Gradients SIAM/ASA Journal on Uncertainty Quantification , volume =

Reference 45

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:2b4c9da1e108aa19b65bdb319c496bac630e3882ec404a5ec477bec9bfb7d9a3

Observation 92d3d422-33d8-497e-bd99-0df37067c319 · outbound

This paper cites Numerische Mathematik , volume =.

Fast-Mixing Markov Chains without Gradients Numerische Mathematik , volume =

Reference 46

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:6af89716f5f3c3c3cb0ed9f92617821563b16b5bd9dba8246b2c7b2e1b0c5e03

Observation 3202c4de-a5ed-456d-aa82-adf5bc99ee7e · outbound

This paper cites Journal of the American Statistical Association , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the American Statistical Association , volume =

Reference 47

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:84715e4bcd4f2e8f124a611db7b88e406101aab80bdcc59ff30c4e70c2ac71fd

Observation 5d5eb1e0-6395-4a33-9ee5-569a9da5a33a · outbound

This paper cites Journal of Machine Learning Research , volume =.

Fast-Mixing Markov Chains without Gradients Journal of Machine Learning Research , volume =

Reference 48

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:98fb29862ce5a01dc1cd14039b3c40dff977a38b06789752c3c4f570cc85041e

Observation 6172d6d9-52e1-4fe6-8a30-9b0d17e0fffa · outbound

This paper cites The Annals of Mathematical Statistics , year =.

Fast-Mixing Markov Chains without Gradients The Annals of Mathematical Statistics , year =

Reference 49

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:c2b47225bd96c7362eeb7eb7a6b23d30ca4c157135c847d7980af829292672ec

Observation a3761afc-532f-489b-8aeb-ebfc3cf7bf43 · outbound

This paper cites Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors , journal =.

Fast-Mixing Markov Chains without Gradients Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors , journal =

Reference 50

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:7ff74e0e91ba3066ecd1873b2671b42c809805528d2b3b202c3e6bf7902f4783

Observation 03de7f3d-9cde-4d41-b7c9-949fd0ebb21d · outbound

This paper cites Performance of neural and poly- nomial operator surrogates.

Fast-Mixing Markov Chains without Gradients Performance of neural and poly- nomial operator surrogates

Reference 51

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arxiv_id, observed 2026-07-01T19:06:03.419526Z

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.

source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:921ad851b1f11ca0b94ec7155bd8f46c2944db075a2e36e8f82b584a5e3d74cd

Observation 2ff56508-b52c-47ee-8ed3-2b3472750ff3 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 52

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:d4f983a04e052ecacf671ae415e8cf289ce5217a51b8afb77b52224b2e7c62fe

Observation 26fb1577-3cd1-4399-9d79-b1ca064ff2f0 · outbound

This paper cites Conference on Learning Theory , pages =.

Fast-Mixing Markov Chains without Gradients Conference on Learning Theory , pages =

Reference 53

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:6996a88b9a54a29f003d969bc71c70f6c56cdc04842328330b24f2004b02f28c

Observation dd422497-d9d1-4367-b57b-51ac6a5a3ff1 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

Fast-Mixing Markov Chains without Gradients Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 54

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:98fcaac614aed1de29eaec2d8442c019df901030ecffe5bb09a0a56226473a43

Observation 983fd87e-4e61-4450-892e-8b502afb6621 · outbound

This paper cites Journal of statistical software , volume =.

Fast-Mixing Markov Chains without Gradients Journal of statistical software , volume =

Reference 55

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:0016f21585ca972ac65e385466c8c7623ae5a153d9ac64800028f5ac2e6a5a84

Observation 1003cb7b-5a7d-409c-a55d-3f396935b3cc · outbound

This paper cites Statistical science , volume=.

Fast-Mixing Markov Chains without Gradients Statistical science , volume=

Reference 56

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:10e876a27fb4c394236ddc12c031f406f0f2b7f527a3795d4cb8413dd9e01a76

Observation 8b04cafe-6331-4113-b76b-c66d58ca753d · outbound

This paper cites Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets.

Fast-Mixing Markov Chains without Gradients Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets

Reference 57

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source=arxiv_source observed=2026-06-29T00:33:12.995989Z digest=sha256:b46c5dbdb7e9433207f2aca07d5875c5dab157fa4d119aaf3434a1ffccb17ddb

Pith citing papers

Observation b5d46c0d-98f0-4ed1-873d-01872103e230 · inbound

Gradient-free Riemannian Langevin Sampler cites this paper.

Gradient-free Riemannian Langevin Sampler Fast-Mixing Markov Chains without Gradients

Reference 73

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local_arxiv, observed 2026-07-09T08:36:06.070259Z

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source=arxiv_source observed=2026-07-09T08:34:53.236907Z digest=sha256:9ec7f25d1fb1333740769cc0a08702b15007748e1bf332b30ef8cfc5ee25c0b5