Paper Citation Record · LEDGER

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2501.14636.

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

pith.paper-citation-record.v1
2501.14636 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:03:35.864728Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:44:40.274196Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:19:31.380219Z

Reference resolution

43 of 43 outbound references displayed

verified exact4
verified fuzzy22
unresolved16
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53387536-f280-4734-972c-13afc8bbc105 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:38.380194Z

Source-reported events for the cited work

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Observation 4933aa3b-9515-42d5-af93-cbc4be0100b6 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:38.370443Z

Source-reported events for the cited work

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Observation 32ede844-4970-46d1-af7f-04143636e2b8 · outbound

This paper cites Arridge, P.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Arridge, P

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:38.358693Z

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Observation ae92ac2e-593a-4224-ae46-ff4ae22710d5 · outbound

This paper cites Atkinson, A.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Atkinson, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:38.345514Z

Source-reported events for the cited work

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Observation 9fdfe535-51e9-4381-b4ad-c1ac595bcd81 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation 6b19a65d-d3c3-4750-b068-6961748f9be5 · outbound

This paper cites Baldi and K.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Baldi and K

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:38.261802Z

Source-reported events for the cited work

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Observation 4f5204a9-48b4-484c-bbb9-98cb942c4360 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:38.139349Z

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Observation 3f4f5594-77e9-42be-adb0-2998778d956b · outbound

This paper cites Benner, S.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Benner, S

Reference 8

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Observation 1a3d903a-a66b-451b-ac9e-010400a9ff3a · outbound

This paper cites Bourlard and Y.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Bourlard and Y

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:38.117137Z

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Observation 16e79155-37c7-48c3-8035-b19aebb8936a · outbound

This paper cites Bulatov , NotMNIST dataset , Google (Books/OCR), Tech.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Bulatov , NotMNIST dataset , Google (Books/OCR), Tech

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:38.101765Z

Source-reported events for the cited work

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Observation a5510658-491c-4971-a2fd-d83d8b8d8524 · outbound

This paper cites Chung and M.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Chung and M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:38.057022Z

Source-reported events for the cited work

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Observation 608c7bbc-e7bb-4973-bef9-dc64eb0e04e4 · outbound

This paper cites Chung and S.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Chung and S

Reference 12

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Source-reported events for the cited work

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Observation 3ac1ea0b-f3dc-40ce-a91b-497a4d97dfa7 · outbound

This paper cites Chung , Randomized Shepp-Logan phantom , 2020, https://github.com/matthiaschung/ Random-Shepp-Logan-Phantom.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Chung , Randomized Shepp-Logan phantom , 2020, https://github.com/matthiaschung/ Random-Shepp-Logan-Phantom

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:37.844488Z

Source-reported events for the cited work

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Observation 44349acd-ffef-426f-bc40-2e8c3f3ef27e · outbound

This paper cites Sparse $L^1$-Autoencoders for Scientific Data Compression.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Sparse $L^1$-Autoencoders for Scientific Data Compression

Reference 14

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Source-reported events for the cited work

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Observation c0e90d2c-a18e-4736-aec4-7aa027790383 · outbound

This paper cites Chung, E.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Chung, E

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:37.833324Z

Source-reported events for the cited work

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Observation 7504eb1d-4c94-4c19-84f7-e1b8eff0720c · outbound

This paper cites Deng , The MNIST database of handwritten digit images for machine learning research , IEEE Signal Processing Magazine, 29 (2012), pp.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Deng , The MNIST database of handwritten digit images for machine learning research , IEEE Signal Processing Magazine, 29 (2012), pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:37.817368Z

Source-reported events for the cited work

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Observation e475e2af-d8eb-41e3-afa1-10d38a4a6a77 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:37.757537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5cc0c13e-784e-4ca8-a612-e8511f0531d0 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:37.575909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e03fc77d-1fb4-4d90-a105-af478a9b66b4 · outbound

This paper cites Auto-Linear Phenomenon in Subsurface Imaging.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Auto-Linear Phenomenon in Subsurface Imaging

Reference 19

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Source-reported events for the cited work

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Observation 84415395-4476-48fa-a734-030fbfd83850 · outbound

This paper cites On a Hidden Property in Computational Imaging.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization On a Hidden Property in Computational Imaging

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:03:36.509257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5288e672-1581-4ee7-93b4-b60848fca112 · outbound

This paper cites Gazzola, P.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Gazzola, P

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:37.481607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80eb8971-5d89-48d8-a7d2-e9cc65d709d5 · outbound

This paper cites Solving Bayesian Inverse Problems via Variational Autoencoders.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Solving Bayesian Inverse Problems via Variational Autoencoders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T15:03:35.576750Z

Source-reported events for the cited work

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Observation 1235973c-715b-4108-b444-a6cbe64767ff · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:37.470518Z

Source-reported events for the cited work

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Observation b1487f0f-75a2-47b4-912c-dc30427772a9 · outbound

This paper cites Goodfellow, Y.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Goodfellow, Y

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:37.460504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b11a13f9-caae-4510-a787-46ced8e6a918 · outbound

This paper cites Hadamard, Lectures on Cauchy’s Problem in Linear Differential Equations, Yale University Press, New Haven, 1923.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Hadamard, Lectures on Cauchy’s Problem in Linear Differential Equations, Yale University Press, New Haven, 1923

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:37.448639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4abebc65-71ba-4001-8dcd-3ad684d69442 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:37.421817Z

Source-reported events for the cited work

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Observation 9f94db66-4b55-4ba2-a9fe-7e20f93ae60c · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:03:37.357326Z

Source-reported events for the cited work

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Observation b53941da-edbb-4826-84e0-c33fcb165f85 · outbound

This paper cites Neural Operator: Learning Maps Between Function Spaces.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Neural Operator: Learning Maps Between Function Spaces

Reference 28

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This paper cites Kulkarni, S.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Kulkarni, S

Reference 29

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Observation dee3b93e-71ff-46ed-acfc-ccc1da37ae3c · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 30

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Observation 7674eb36-cd64-49f3-9ac8-680f6b447a4b · outbound

This paper cites Lee and K.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Lee and K

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:36.995604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 493ffc55-7550-4e3e-9f6e-71e3439e8993 · outbound

This paper cites an unresolved cited work.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Unresolved cited work

Reference 32

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This paper cites Lucas, M.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Lucas, M

Reference 33

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Source-reported events for the cited work

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Observation b744d62e-d803-43ca-b81e-6be0c268597e · outbound

This paper cites Pichi, B.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Pichi, B

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:36.891679Z

Source-reported events for the cited work

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Observation 0d097111-9cc3-4858-9eb0-703a4fc753ed · outbound

This paper cites Piening and M.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Piening and M

Reference 35

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Source-reported events for the cited work

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Observation a3aca242-04e6-42a3-8d16-d46b785aed6c · outbound

This paper cites From Principal Subspaces to Principal Components with Linear Autoencoders.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization From Principal Subspaces to Principal Components with Linear Autoencoders

Reference 36

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This paper cites Pukelsheim, Optimal design of experiments , SIAM, 2006.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Pukelsheim, Optimal design of experiments , SIAM, 2006

Reference 37

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This paper cites Salakhutdinov, A.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Salakhutdinov, A

Reference 38

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Observation c8a66943-fb29-4e46-add3-fdcef9e29885 · outbound

This paper cites Sanz-Alonso, A.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Sanz-Alonso, A

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:36.858113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2009a63b-979e-49ba-aee7-0962d9832304 · outbound

This paper cites Torralba, R.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Torralba, R

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:36.846758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94ebe3d7-f88d-4470-a1b6-3c6d8937df7b · outbound

This paper cites Ucinski , Optimal measurement methods for distributed parameter system identification , CRC press, 2004.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization Ucinski , Optimal measurement methods for distributed parameter system identification , CRC press, 2004

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:36.835206Z

Source-reported events for the cited work

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Observation 79147a98-7063-4e5b-bf93-bc9304593e45 · outbound

This paper cites W ang, Y.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization W ang, Y

Reference 42

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Source-reported events for the cited work

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Observation 1ad61929-7b54-4240-a9fa-ddf99e217d3c · outbound

This paper cites W ang, H.

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization W ang, H

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:03:36.785888Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

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Good Things Come in Pairs: Paired Autoencoders for Inverse Problems cites this paper.

Good Things Come in Pairs: Paired Autoencoders for Inverse Problems A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

Reference 65

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Observation b82ec691-dff5-40de-a472-de8de66bed89 · inbound

Optimal Linear Baseline Models for Scientific Machine Learning cites this paper.

Optimal Linear Baseline Models for Scientific Machine Learning A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:19:31.383680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25068ca7-8305-4800-9801-f7a16e90becb · inbound

Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification cites this paper.

Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T05:14:55.893398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.