Paper Citation Record · LEDGER

PtyGenography: using generative models for regularization of the phase retrieval problem

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2502.01338.

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

pith.paper-citation-record.v1
2502.01338 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:43:16.363993Z

measured 27 of 27 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:30.931168Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:26:42.637553Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy22
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7780961b-42d0-4dda-9236-c8ac6ed96528 · outbound

This paper cites Investigation of composite materials using slm-based phase retrieval.

PtyGenography: using generative models for regularization of the phase retrieval problem Investigation of composite materials using slm-based phase retrieval

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.601510Z

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 60312615-14d3-4bf7-a900-477d1a72c8cb · outbound

This paper cites On signal reconstruc- tion without phase.

PtyGenography: using generative models for regularization of the phase retrieval problem On signal reconstruc- tion without phase

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.593166Z

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 161d6b64-f533-40d7-8a61-87ff77ba3690 · outbound

This paper cites On lipschitz analysis and lipschitz synthesis for the phase retrieval problem.

PtyGenography: using generative models for regularization of the phase retrieval problem On lipschitz analysis and lipschitz synthesis for the phase retrieval problem

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.584802Z

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 97f4411d-69fd-40f8-b7f3-eddb1b107d0b · outbound

This paper cites Phase retrieval with semi-algebraic and ReLU neural network priors.

PtyGenography: using generative models for regularization of the phase retrieval problem Phase retrieval with semi-algebraic and ReLU neural network priors

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:43:16.394553Z

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 b6345b1c-2711-4902-8408-8ccfe409bafc · outbound

This paper cites Diffractive imaging for periodic samples: retrieving one-dimensional concentration profiles across microfluidic channels.

PtyGenography: using generative models for regularization of the phase retrieval problem Diffractive imaging for periodic samples: retrieving one-dimensional concentration profiles across microfluidic channels

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.575631Z

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 d4582f07-b4c2-4e58-bee6-62f7cfffc49e · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.

PtyGenography: using generative models for regularization of the phase retrieval problem The mnist database of handwritten digit images for machine learning research

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.567818Z

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 ea819682-30eb-435f-819e-6b8491632521 · outbound

This paper cites Learning to synthesize: robust phase retrieval at low photon counts.

PtyGenography: using generative models for regularization of the phase retrieval problem Learning to synthesize: robust phase retrieval at low photon counts

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.559348Z

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 8b5d8257-700c-4dad-bb63-fec5f4946f4b · outbound

This paper cites Phase retrieval: From computational imaging to machine learning: A tutorial.

PtyGenography: using generative models for regularization of the phase retrieval problem Phase retrieval: From computational imaging to machine learning: A tutorial

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.550936Z

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 1cd3af2c-5020-4af0-add4-8221422caf25 · outbound

This paper cites Sparse phase retrieval from short-time fourier measure- ments.

PtyGenography: using generative models for regularization of the phase retrieval problem Sparse phase retrieval from short-time fourier measure- ments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.542799Z

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 ce6297a0-4c65-4e18-b419-b6b20fb06bd9 · outbound

This paper cites Phase retrieval: Uniqueness and stability.

PtyGenography: using generative models for regularization of the phase retrieval problem Phase retrieval: Uniqueness and stability

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.533880Z

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 6985a16f-7552-443e-ad13-b75dfc3c9e15 · outbound

This paper cites Phase retrieval under a generative prior.

PtyGenography: using generative models for regularization of the phase retrieval problem Phase retrieval under a generative prior

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.525390Z

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 c5d54a99-b34e-4de7-863e-7df5f7824232 · outbound

This paper cites Quantum tomography under prior information.

PtyGenography: using generative models for regularization of the phase retrieval problem Quantum tomography under prior information

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.516480Z

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 f6da0721-195e-4cbf-94d0-f2e7485336e6 · outbound

This paper cites Lower lipschitz bounds for phase retrieval from locally supported measurements.Applied and Computational Harmonic Analysis , 47(2):526–538, 2019.

PtyGenography: using generative models for regularization of the phase retrieval problem Lower lipschitz bounds for phase retrieval from locally supported measurements.Applied and Computational Harmonic Analysis , 47(2):526–538, 2019

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.508033Z

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 0491e694-cf9d-4c02-80a1-09f29ae3469d · outbound

This paper cites Sparse phase retrieval: Uniqueness guarantees and recovery algorithms.

PtyGenography: using generative models for regularization of the phase retrieval problem Sparse phase retrieval: Uniqueness guarantees and recovery algorithms

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.499673Z

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 f76fa4d6-e892-4d79-92c5-551ee3b995fc · outbound

This paper cites Development of hybrid optical sensor based on deep learning to detect and classify the micro-size defects in printed circuit board.

PtyGenography: using generative models for regularization of the phase retrieval problem Development of hybrid optical sensor based on deep learning to detect and classify the micro-size defects in printed circuit board

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:43:16.333179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c1b3293-41af-495c-b16a-080fed80b2b9 · outbound

This paper cites Characterization of surface defects using a phase retrieval technique in a high-power laser system.

PtyGenography: using generative models for regularization of the phase retrieval problem Characterization of surface defects using a phase retrieval technique in a high-power laser system

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.486372Z

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 06ee0283-9661-400b-bb47-f7ab1fa8e773 · outbound

This paper cites On the limited memory bfgs method for large scale optimization.

PtyGenography: using generative models for regularization of the phase retrieval problem On the limited memory bfgs method for large scale optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.477625Z

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 7628ba5e-97fc-414b-b5f5-67bda490d6a8 · outbound

This paper cites Phase retrieval in crystallography and optics.

PtyGenography: using generative models for regularization of the phase retrieval problem Phase retrieval in crystallography and optics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.469369Z

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 8e441a4f-c2f0-44b6-aa26-0692a1684a5e · outbound

This paper cites Actinic imaging and evaluation of phase structures on extreme ultraviolet lithography masks.

PtyGenography: using generative models for regularization of the phase retrieval problem Actinic imaging and evaluation of phase structures on extreme ultraviolet lithography masks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.461176Z

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 36d5729a-d805-433e-afcd-e2ff8273d527 · outbound

This paper cites Fundamentals of speech recognition.

PtyGenography: using generative models for regularization of the phase retrieval problem Fundamentals of speech recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.452911Z

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 c802a330-3aa4-4535-810a-8a79a0c23390 · outbound

This paper cites Phase recovery and holographic image reconstruction using deep learning in neural networks.

PtyGenography: using generative models for regularization of the phase retrieval problem Phase recovery and holographic image reconstruction using deep learning in neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.444154Z

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 4f57fbe1-9a95-4620-901a-12c2ea2e2ba9 · outbound

This paper cites Ptychography and related diffractive imaging methods.

PtyGenography: using generative models for regularization of the phase retrieval problem Ptychography and related diffractive imaging methods

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.435045Z

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 3435a167-2865-4a41-98c3-f675ea10ba56 · outbound

This paper cites Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings.

PtyGenography: using generative models for regularization of the phase retrieval problem Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.426870Z

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 6a1a7f2e-cd35-40b6-b7e7-caec0da942d8 · outbound

This paper cites an unresolved cited work.

PtyGenography: using generative models for regularization of the phase retrieval problem Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:43:16.418106Z

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 96c54a77-c578-405d-89da-448ee4ef98cf · outbound

This paper cites Lensless computational imaging through deep learning.

PtyGenography: using generative models for regularization of the phase retrieval problem Lensless computational imaging through deep learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:43:16.409538Z

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 da26b073-2838-48bb-bac3-d9ab8d468f7e · outbound

This paper cites Some tendencies in the tikhonov regularization of ill-posed problems.

PtyGenography: using generative models for regularization of the phase retrieval problem Some tendencies in the tikhonov regularization of ill-posed problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T15:43:16.363993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 71e0da4b-bef2-4b0e-a271-ec46e58c4940 · inbound

Phasebook: A Survey of Selected Open Problems in Phase Retrieval cites this paper.

Phasebook: A Survey of Selected Open Problems in Phase Retrieval PtyGenography: using generative models for regularization of the phase retrieval problem

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:26:42.703673Z

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.