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Paper Citation Record · LEDGER

Compressed Sensing using Generative Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1703.03208.

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

pith.paper-citation-record.v1
1703.03208 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:28:22.014498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:10:53.753855Z

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 d2b16845-daa4-4654-96a8-9018487ccfc8 · inbound

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis cites this paper.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Compressed Sensing using Generative Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:22.014498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:22.014498Z digest=sha256:9c721103b284272db01dafe91a8f0b8ed12f1221510b6c9f2a4439997beb9853

Observation 87b24378-908e-43d9-9f26-d847a270a210 · inbound

Blind Image Deconvolution using Pretrained Generative Priors cites this paper.

Blind Image Deconvolution using Pretrained Generative Priors Compressed Sensing using Generative Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T12:23:20.329274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:23:20.329274Z digest=sha256:7edf0275b983f1112bd658e642b56875d24306d1e3296784e2b8cb715b1b5599

Observation b2a247a4-a218-46d9-9a69-26d6b57caac8 · inbound

Tessellations of Semi-Discrete Flow Matching cites this paper.

Tessellations of Semi-Discrete Flow Matching Compressed Sensing using Generative Models

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:48:54.656406Z

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=arxiv_source observed=2026-05-11T02:37:06.288757Z digest=sha256:ffbbac32f1dc80c4b9ef640131869d0b6c0b87e39dcec2a9808e1345379f1c85