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Paper Citation Record · LEDGER

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems

As of 14 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2412.16883.

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

pith.paper-citation-record.v1
2412.16883 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:07:25.570467Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

83 of 83 outbound references displayed

  • verified exact5
  • verified fuzzy30
  • unresolved46
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69daf7e2-4d97-46f7-ad02-511d7368f552 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04dd6522-0a2a-4194-97de-f7f30385ba57 · outbound

This paper cites Metropolis, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Metropolis, A

Reference 2

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Observation 3985c2c9-dde1-410b-9c6b-cc155005a56e · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 3

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Observation ec23ff9b-63af-4c91-89ea-d8a694f0d3d6 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 4

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Observation 90d591b7-6040-47c9-a070-60cb54b770f0 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b37e62a0-820d-41c4-9387-656b35fc3868 · outbound

This paper cites Kaipio, E.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kaipio, E

Reference 6

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Observation b2f267a1-d409-46fa-807a-41c98a0f9530 · outbound

This paper cites Tarantola, Inverse problem theory and methods for model parameter estimation, SIAM, 2005.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Tarantola, Inverse problem theory and methods for model parameter estimation, SIAM, 2005

Reference 7

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Source-reported events for the cited work

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Observation d4eeceb6-d569-44b4-9e61-f2d3cfea9b03 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 2cc9c5fd-ee72-442a-a4da-76bba5831567 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 9f75cf7c-26a3-462c-a7b3-c9ab7c2a83f2 · outbound

This paper cites Calvetti, E.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Calvetti, E

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8389ae0e-08a2-4653-9f66-ad6252a2e05b · outbound

This paper cites Cotter, G.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Cotter, G

Reference 11

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Observation 93ffdff5-8f85-4d06-98ba-b194ba1551e6 · outbound

This paper cites Gelman, W.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Gelman, W

Reference 12

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 984151b8-c4d4-4bf0-8166-2103f13135c9 · outbound

This paper cites Goodman, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Goodman, J

Reference 13

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Observation 81ae0eee-700e-4a1e-ace3-fe8b5f837cf8 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 75137dea-a092-4fdf-94d1-921d92dd6d5e · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fa7bbb2a-60e4-4927-8c1c-deb29840438d · outbound

This paper cites Lieberman, K.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Lieberman, K

Reference 16

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation eab89184-4974-4357-aa44-676a675a832d · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ec25d33c-185e-4706-9f26-d3faaacacaab · outbound

This paper cites Bui-Thanh, O.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Bui-Thanh, O

Reference 18

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Observation 0fb35430-209f-4137-97b8-c5cc434e3f60 · outbound

This paper cites Schillings, B.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Schillings, B

Reference 19

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Observation e99c57fa-445b-4f26-8ec4-bb41dc2679e9 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 20

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Observation 4860a810-295d-44c0-8ad4-a20f889a4126 · outbound

This paper cites Yan, Y.-X.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Yan, Y.-X

Reference 21

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Observation 1c989210-9c8a-4fd7-a5b2-f76adf004b98 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 22

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Observation 44b3df2a-bce8-4142-b295-b8e5d287f546 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 23

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Observation 5be5f895-d409-4f3b-bb7c-28a2292c64fd · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 24

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Observation b70c0083-7543-44dc-9563-7edddbffca8a · outbound

This paper cites Raissi, P.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Raissi, P

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 2077e157-8ed1-4485-9b73-790e0b2e2bfe · outbound

This paper cites Schwab, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Schwab, J

Reference 26

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 04993eba-03a6-45fe-832b-966ac32c03c6 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 27

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Observation 23e926c1-d48e-4a5b-b495-70d4a8a1aa05 · outbound

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a61f2108-bda3-45d6-975f-64b4c956db49 · outbound

This paper cites A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 913e5dfe-7031-4575-85ce-4f7a3e86aa1b · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 30

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Observation c2037987-c6f4-41f3-9e94-086429443fc9 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 31

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Unavailable: canonical work link unavailable.

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Observation e642fe11-3945-426f-ab0c-f770880cdcda · outbound

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9e92da5b-532a-4838-960d-ecc696b1c278 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 27364701-3edd-41e7-8de3-fa5551057b3b · outbound

This paper cites Genzel, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Genzel, J

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bdb5e168-658f-46aa-855b-29310de6a9d5 · outbound

This paper cites Raoni´ c, R.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Raoni´ c, R

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d14bd62b-0963-4eac-b659-72033b80ae3e · outbound

This paper cites Neural Inverse Operators for Solving PDE Inverse Problems.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Neural Inverse Operators for Solving PDE Inverse Problems

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:07:25.411129Z digest=sha256:a03296fc0feab12a5d01a1cc9c391085a981ca4f48a505fd4cc68f9f34a4914c

Observation e4045c06-3f88-45c8-8363-8faa3fd54ef2 · outbound

This paper cites Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks

Reference 37

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local_arxiv, observed 2026-08-11T06:07:25.872619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.414726Z digest=sha256:9e3aaaa7303bfd5614e0e93fc383348e120fec39b79fa714d0e487d3d31e1af8

Observation 83610b30-a8e9-42f8-a8e9-e763c040e102 · outbound

This paper cites A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results

Reference 38

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source=pdf_text observed=2026-08-11T06:07:25.418330Z digest=sha256:f6a275e714a16ee83b9b8bd01b25c24f2fe696fed20808b6ad3ca536d4e70022

Observation c675f7e8-54f5-4179-95c1-e95b1ce9babe · outbound

This paper cites Nickl, Bayesian Non-linear Statistical Inverse Problems, Zurich Lectures in Advanced Mathematics, EMS, 2023.doi:10.4171/ZLAM/30.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Nickl, Bayesian Non-linear Statistical Inverse Problems, Zurich Lectures in Advanced Mathematics, EMS, 2023.doi:10.4171/ZLAM/30

Reference 39

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Observation 93010eb3-3664-4e8d-b84a-c3ac344f8d35 · outbound

This paper cites Dashti, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Dashti, A

Reference 40

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source=pdf_text observed=2026-08-11T06:07:25.426178Z digest=sha256:389333ffdd9874d1e8f8ccfe7f882cbb39d026c402b159c2a681896ae4b76f6c

Observation 561ed9f4-5618-4410-b89f-17db6a20cb6d · outbound

This paper cites Somersalo, M.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Somersalo, M

Reference 41

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source=pdf_text observed=2026-08-11T06:07:25.429544Z digest=sha256:45426e39e3910714fb6d3f09fcc66b016149e8a9f489c437184564aa742ea292

Observation 9564ce9d-2506-4c1e-8503-094a784463f4 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-11T06:07:25.433005Z digest=sha256:020283ed2ad66fe1a114be69b2e12a6d71ad26ee8990b7105c606bf62cdec629

Observation ee72b051-2889-4564-8e08-6c2a6d29d0c2 · outbound

This paper cites Cheney, D.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Cheney, D

Reference 43

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source=pdf_text observed=2026-08-11T06:07:25.436577Z digest=sha256:c7be03cb830983528ad8e3e2d1d7804932b651d156ac2a681016d6cffd593cf8

Observation db2793d2-ba44-4739-8d36-f20c61b36629 · outbound

This paper cites Borcea, Electrical impedance tomography, Inverse problems 18 (6) (2002) R99.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Borcea, Electrical impedance tomography, Inverse problems 18 (6) (2002) R99

Reference 44

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source=pdf_text observed=2026-08-11T06:07:25.440032Z digest=sha256:d19907ec221513fa6fd86442f47b615af25110345c5ff06df5c2bf6a2164b2b3

Observation 73afad74-b013-428e-be71-ea967b2e0e9b · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 45

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doi, observed 2026-08-11T06:07:25.627717Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.443122Z digest=sha256:e532cc840e7f43266a1e2c6b5aa7cc9d9a20eaf15f016c8a556909f8253450f1

Observation a3d47988-a786-4d35-9bf3-607b8d6216ab · outbound

This paper cites Abhishek, T.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Abhishek, T

Reference 46

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.446464Z digest=sha256:de5008ce27e15bdc6d82f69e2327c0ebf0262f1f0c980db115883a869ea7349a

Observation bafadf34-e956-4ee9-a45c-ae96b5d7a8f7 · outbound

This paper cites Natterer, F.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Natterer, F

Reference 47

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no resolver link, observed 2026-08-11T06:07:25.449726Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T06:07:25.449726Z digest=sha256:cc2a3f499cfcf32634e5198ac8e3140a49a7652af29f1459f19bc1783bd03eec

Observation 0d020bd1-b7b0-4982-be3e-89b60e3acfc1 · outbound

This paper cites Harrach, On uniqueness in diffuse optical tomography, Inverse problems 25 (5) (2009) 055010.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Harrach, On uniqueness in diffuse optical tomography, Inverse problems 25 (5) (2009) 055010

Reference 48

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raw_fallback, observed 2026-08-11T06:07:26.201682Z

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source=pdf_text observed=2026-08-11T06:07:25.452867Z digest=sha256:7fdb4748b2961f86d3ab92ed236e18cf3a33c2d5f5c6ff377a341db919efb81d

Observation af0f2c80-331a-4d99-a2bf-792b1b33e2da · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-11T06:07:25.455837Z digest=sha256:2d1ee1c03e2f7d05f77b6b3949d4bec405f2bfaceb8f78d17fbd50d06e61cc39

Observation 6a9d45ca-7e14-464d-b216-56cfa203b0d3 · outbound

This paper cites Abraham, R.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Abraham, R

Reference 50

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raw_fallback, observed 2026-08-11T06:07:26.180055Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.458587Z digest=sha256:59b0d5dc2d78dad864aca3042b1699858b08a8d5053c41cb3f66f17b57ef9b72

Observation 6a9b9564-e7f4-42e7-bab5-7f93db8bfbc0 · outbound

This paper cites Suhonen, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Suhonen, A

Reference 51

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raw_fallback, observed 2026-08-11T06:07:26.169873Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.461566Z digest=sha256:17c4a9dead5cf1cf4a86643d9db65c7cb0863430ed7bb2592d20e9ad164afa7d

Observation 252f7bbe-ca03-4faa-b29e-86d157184f5c · outbound

This paper cites Tarvainen, B.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Tarvainen, B

Reference 52

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raw_fallback, observed 2026-08-11T06:07:26.160458Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.464931Z digest=sha256:7167667a35999c75116e7c1682062d96b6cae9d72f2d2a4075762ad0efddd69c

Observation 968da41e-f792-4faf-a49d-5f06dde0cc85 · outbound

This paper cites Quarteroni, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Quarteroni, A

Reference 53

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source=pdf_text observed=2026-08-11T06:07:25.468413Z digest=sha256:db4c20e6ada8058e0f8f00f077379108084b40e4a8140854ad441590fc4c8528

Observation f6fb40cb-3d81-438e-8107-ddae0f6a92e3 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-11T06:07:25.471851Z digest=sha256:6bb9ec1e55d18e513c7e586c747bdc2bc3476f2f4ee2dd378b4d60b60c4b7d78

Observation 4f2b9918-d978-4c59-8ea5-bc21a4c0ee8a · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 55

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Observation da0a164d-ab5a-4b00-b56d-e74eb20c29e6 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 56

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.478604Z digest=sha256:8305aa4b83139cfb66af13c20b3b9f0e8204c89e6f7d6f9e4acb596fddf63aaf

Observation 3bc9f3c2-0ff0-43fa-9389-5f849e5155f7 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 57

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raw_fallback, observed 2026-08-11T06:07:26.113863Z

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source=pdf_text observed=2026-08-11T06:07:25.482193Z digest=sha256:82bd61fc486244d7c57b59e029751811603290e10ea07178b580cf2dd0263f61

Observation c175926d-b599-4858-95b9-159846fe07a4 · outbound

This paper cites Bhattacharya, B.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Bhattacharya, B

Reference 58

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no resolver link, observed 2026-08-11T06:07:25.485656Z

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source=pdf_text observed=2026-08-11T06:07:25.485656Z digest=sha256:181d21501400d47f3269e5b0491ff16163abf60b56441098805c70ac2314e171

Observation c1c9b25b-e328-4974-8fc8-f6fefe7513a8 · outbound

This paper cites Kovachki, Z.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kovachki, Z

Reference 59

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source=pdf_text observed=2026-08-11T06:07:25.488911Z digest=sha256:7651e56f170cd6aab9e1564dd1d010c1098c249f55620881e7a8bda1a0ebfd58

Observation 1f61a04e-3735-4aba-a05b-17a6e3858550 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 60

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source=pdf_text observed=2026-08-11T06:07:25.492570Z digest=sha256:d7f8c65a174ac654aa8545c9e9e35a850c74e598fab5d30b155956758b41db71

Observation d52070bc-914e-456d-bf87-7513cba41b58 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 61

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Observation 221d6ee7-cd4a-453f-a5f3-02a6e09d5c9f · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 62

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raw_fallback, observed 2026-08-11T06:07:26.080351Z

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source=pdf_text observed=2026-08-11T06:07:25.499975Z digest=sha256:6c6cb33dac4dcdb6a8193316d2849d98ddc29275d3c2aa283a3fe07de6cce1fc

Observation 8bfe1cb9-49f3-4758-b868-32ba7c9c4177 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 63

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source=pdf_text observed=2026-08-11T06:07:25.503248Z digest=sha256:785439c134392426e429c9574ad0b2c5e7494f74b4f420c0d8ce9bd3bff7f7cc

Observation 52f16d57-19be-42c4-ba7e-64336379b045 · outbound

This paper cites Variable-Input Deep Operator Networks.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Variable-Input Deep Operator Networks

Reference 64

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no resolver link, observed 2026-08-11T06:07:25.507256Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T06:07:25.507256Z digest=sha256:9bacae6f8fd7670e6fac5707c772393f384edbc63c147f97afc9fc0d0b2b29ac

Observation e2d07641-d9a3-4c7a-a7ac-741f79930edc · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 65

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raw_fallback, observed 2026-08-11T06:07:26.069713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.510938Z digest=sha256:e9b324111d4cfb668280d13ca308afb36059aeee01c2f7133e8eeeb860a3cc13

Observation 94a5d470-cb54-42b5-890a-db973ed42623 · outbound

This paper cites Kissas, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kissas, J

Reference 66

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raw_fallback, observed 2026-08-11T06:07:26.059368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.514392Z digest=sha256:ae4021f997bfb5d8d3598fed6b74e7df34f4771f7c296b8eec631080f0fd5637

Observation 14f41f8a-23fa-4015-b064-db595e02770d · outbound

This paper cites Seidman, G.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Seidman, G

Reference 67

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no resolver link, observed 2026-08-11T06:07:25.517778Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T06:07:25.517778Z digest=sha256:d55050c245c9448ad30c9c30c5ebb823ddc4062b698d535167c7881d41d48e58

Observation d77d08a1-4581-4c3e-aac4-afaaa3827b18 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 68

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raw_fallback, observed 2026-08-11T06:07:26.042248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.521279Z digest=sha256:8576e8ec285d8caf9ea216334cd52babd7a046dd54219663e0477d712f68ad37

Observation e258603c-019d-42ad-bc8f-bab48d4aae84 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 69

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raw_fallback, observed 2026-08-11T06:07:26.031904Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.524734Z digest=sha256:a3980315f2234146ba13827e8c4cf636ad35e1ec9c88d491b05e9b177670b4d4

Observation cafe2cfe-eab3-4131-9a86-be7e4aab7346 · outbound

This paper cites Furuya, M.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Furuya, M

Reference 70

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raw_fallback, observed 2026-08-11T06:07:26.021857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.528147Z digest=sha256:75f0495132c494a5864c7b2db9ddf67aaf6c8888dfae47e0346e7d4b4591185d

Observation 8490848f-ed03-4035-8b87-b1791e991a82 · outbound

This paper cites Cao, Choose a transformer: Fourier or galerkin, Advances in neural information processing systems 34 (2021) 24924–24940.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Cao, Choose a transformer: Fourier or galerkin, Advances in neural information processing systems 34 (2021) 24924–24940

Reference 71

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no resolver link, observed 2026-08-11T06:07:25.531670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:07:25.531670Z digest=sha256:aadd99e84dc3aff715b537cb2107300d3ca381ac8af371f1481ba7f8aed447ac

Observation 8f675299-570d-4bd6-8274-eeb969d1ca78 · outbound

This paper cites Uslu Tuna, M.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Uslu Tuna, M

Reference 72

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verified exact
doi, observed 2026-08-11T06:07:25.608789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.535109Z digest=sha256:10b60535a24c73ca7198349589e11d158ffdf6496447d188176d7d73ebdda023

Observation 87cd8185-5ed7-4e7d-98f4-7cffffda16b2 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 73

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verified exact
raw_fallback, observed 2026-08-11T06:07:25.807256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T06:07:25.538425Z digest=sha256:6b9f59a6ce3d7d7d99e5bf53bcee4d47f0ad17945eb918a6c0438551260fbab4

Observation 37c5b4dc-015b-4896-a1ba-ae6961453850 · outbound

This paper cites Lanthaler, S.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Lanthaler, S

Reference 74

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raw_fallback, observed 2026-08-11T06:07:26.004878Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5d7d73da-8d3b-4518-9014-b7911af34d22 · outbound

This paper cites Kovachki, S.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kovachki, S

Reference 75

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f4e14634-0d2f-4ef4-9d3c-9cf89192e6d2 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 76

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c3ed1bab-69b3-4d57-8da5-a1d8308e0916 · outbound

This paper cites Yarotsky, Optimal approximation of continuous functions by very deep relu networks, in: S.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Yarotsky, Optimal approximation of continuous functions by very deep relu networks, in: S

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:07:25.976470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 68f72a1b-8e0c-445d-b51d-23c4bed0542e · outbound

This paper cites Zhou, Universality of deep convolutional neural networks, Applied and Compu- tational Harmonic Analysis 48 (2) (2020) 787–794.doi:https://doi.org/10.1016/j.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Zhou, Universality of deep convolutional neural networks, Applied and Compu- tational Harmonic Analysis 48 (2) (2020) 787–794.doi:https://doi.org/10.1016/j

Reference 78

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ffdd2963-90d8-46f6-9e90-2490f2ce294f · outbound

This paper cites Marzouk, D.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Marzouk, D

Reference 79

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 69501797-502d-46d0-9575-124629df1c30 · outbound

This paper cites Gelman, W.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Gelman, W

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:07:25.952133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f3de4745-c71b-4f4a-b5b4-34a867c70074 · outbound

This paper cites Ahmad, T.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Ahmad, T

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:07:25.940467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6d2a6709-e99a-4f49-ac57-1ec1bd0e4576 · outbound

This paper cites Strauss, T.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Strauss, T

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:07:25.929513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6daabd95-a41b-4012-9245-450bf7566319 · outbound

This paper cites Rasmussen, Inclusion-qPAT,https://github.com/akselkaastras/ inclusion-qPAT(2023).

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Rasmussen, Inclusion-qPAT,https://github.com/akselkaastras/ inclusion-qPAT(2023)

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:07:25.919167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.