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Paper Citation Record · LEDGER

The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.06976.

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

pith.paper-citation-record.v1
1807.06976 v1

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:47:06.026710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:28:22.495811Z

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 bb7a32de-0cae-4f08-afb7-40a3540d2404 · inbound

Sharp Guarantees for Solving Random Equations with One-Bit Information cites this paper.

Sharp Guarantees for Solving Random Equations with One-Bit Information The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T13:47:06.026710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:47:06.026710Z digest=sha256:7bb2cec2d0e443e3b793d31addfa49f0d6107e0fd2a91375ab7253134e719b5d

Observation 342fab24-f044-4723-933b-99ff0d7ccb2e · 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 The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:28:22.509951Z

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=2026-08-14T13:28:22.251022Z digest=sha256:8d0400048a8f847830a8e09972ec7ed427d95f0e81685714ddf7a93642b4203c