Paper Citation Record · LEDGER

On Uniform Scalar Quantization for Learned Image Compression

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.17051.

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

pith.paper-citation-record.v1
2309.17051 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:51.077341Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 69bce4c1-6998-4695-9de1-8b9c9a120ef9 · inbound

An Information-Theoretic Regularizer for Lossy Neural Image Compression cites this paper.

An Information-Theoretic Regularizer for Lossy Neural Image Compression On Uniform Scalar Quantization for Learned Image Compression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:31.656816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf5a35f-884d-4bb5-9945-40873e46a188 · inbound

Generalized Gaussian Model for Learned Image Compression cites this paper.

Generalized Gaussian Model for Learned Image Compression On Uniform Scalar Quantization for Learned Image Compression

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T10:22:36.286302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0e67ad-1705-4ed1-8a56-ddebe8f0c14e · inbound

Sparse Point Clouds Assisted Learned Image Compression cites this paper.

Sparse Point Clouds Assisted Learned Image Compression On Uniform Scalar Quantization for Learned Image Compression

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T11:12:08.917569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d7dba67-dc80-4c13-9d45-7f19e6cbd8e9 · inbound

The Gap Between Principle and Practice of Lossy Image Coding cites this paper.

The Gap Between Principle and Practice of Lossy Image Coding On Uniform Scalar Quantization for Learned Image Compression

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T17:22:48.082226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c02ec62d-d5d9-467d-a76d-a7e1628cec68 · inbound

Learning Switchable Priors for Neural Image Compression cites this paper.

Learning Switchable Priors for Neural Image Compression On Uniform Scalar Quantization for Learned Image Compression

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:06:51.077341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70c3fa4-3c01-4015-b373-5e130e51dec2 · inbound

Learned Image Compression with Hierarchical Progressive Context Modeling cites this paper.

Learned Image Compression with Hierarchical Progressive Context Modeling On Uniform Scalar Quantization for Learned Image Compression

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T18:05:31.264570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905a237c-f631-4095-8c61-9119e5784c77 · inbound

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks On Uniform Scalar Quantization for Learned Image Compression

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-06-29T05:13:06.554975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.