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Paper Citation Record · LEDGER

Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.03982.

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

pith.paper-citation-record.v1
1810.03982 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:31:27.138681Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-15T05:59:48.749170Z

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 70a47e6b-48af-42b7-806c-9caedbcb2708 · inbound

Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior cites this paper.

Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T14:31:27.138681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:31:27.138681Z digest=sha256:4ea73376e25d4a373c53d6787a2af9daddc31ddffe16cedbeb996af3f50d107e

Observation 477d6dae-eff3-48c2-ab23-6d1f60cb6651 · inbound

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models cites this paper.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:07.047975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:07.047975Z digest=sha256:35c7dcd83f86549aa1a3faf343e20e12d866311c67d3dd975a53a2fc5accd3ac

Observation 28edc1a7-46b0-47d8-baa3-ec89a0aee53d · inbound

Phase retrieval via Zernike phase contrast microscopy with an untrained neural network cites this paper.

Phase retrieval via Zernike phase contrast microscopy with an untrained neural network Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T15:18:17.874472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:17.874472Z digest=sha256:93d5557178757138ba8fb5d309f5d834586655dd1831561d0e2a0d555851a347

Observation 082f8603-de7a-4d6e-b066-12e7042818a1 · inbound

Designing Solutions to Geophysical Inverse Problems by Changing Variables cites this paper.

Designing Solutions to Geophysical Inverse Problems by Changing Variables Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:51:28.034909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T09:01:57.254997Z digest=sha256:9a268a726ed6355a5fbf1208bda4cc47cf23f6e7273ce6e071b5cab168b4fdb2

Observation 25fc53c4-4056-4bdf-a84f-ba1f105b0140 · inbound

Neural Fields for NV-Center Inverse Sensing cites this paper.

Neural Fields for NV-Center Inverse Sensing Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-15T05:59:48.751734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T05:59:09.522240Z digest=sha256:2a84ae8cbf3ff3d3871c84e4489ffd9c6cdabe691ebbae6cc460ca4f9ed4853e