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Paper Citation Record · LEDGER

Self-Supervised Scalable Deep Compressed Sensing

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.13777.

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

pith.paper-citation-record.v1
2308.13777 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:01:18.727753Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:33:04.066274Z

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 937e5cdd-28f8-44e7-876d-6ca9d3c37a2f · inbound

Practical Compact Deep Compressed Sensing cites this paper.

Practical Compact Deep Compressed Sensing Self-Supervised Scalable Deep Compressed Sensing

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T17:01:18.727753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:01:18.727753Z digest=sha256:55844eb10bee99fc90a5262f9afb01ef2fc87998b8174c4046b514d792ca23c6

Observation a561c2ed-a7e2-4ae9-a2ad-8dac832e1639 · inbound

Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems cites this paper.

Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Self-Supervised Scalable Deep Compressed Sensing

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:33:04.072017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:33:03.208723Z digest=sha256:3c15dad9423566e51704d275a4eed6a7e3308ebff70268da04b740d74f27b431