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Paper Citation Record · LEDGER

Phase retrieval with semi-algebraic and ReLU neural network priors

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.08833.

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

pith.paper-citation-record.v1
2311.08833 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:20:59.088502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T15:43:16.389350Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f49212c-e2be-43ed-a55d-87220bed1549 · inbound

Recovering a group from few orbits cites this paper.

Recovering a group from few orbits Phase retrieval with semi-algebraic and ReLU neural network priors

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T12:20:59.088502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:20:59.088502Z digest=sha256:34bc27f00bd10860db3c29bbd958fab549aba322a14ab7a504a7b70f7e47fc4e

Observation 97f4411d-69fd-40f8-b7f3-eddb1b107d0b · inbound

PtyGenography: using generative models for regularization of the phase retrieval problem cites this paper.

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:43:16.299156Z digest=sha256:5977bdb0dad0b01d54fd008494d12d81c43172a81a6e779929373caa5e130c01