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Paper Citation Record · LEDGER

Generative Adversarial Networks for Extreme Learned Image Compression

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1804.02958.

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

pith.paper-citation-record.v1
1804.02958 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:32:25.572133Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T17:37:04.980528Z

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 dde1cef8-d959-4a88-b240-de0f3fa24982 · inbound

Learning Image and Video Compression through Spatial-Temporal Energy Compaction cites this paper.

Learning Image and Video Compression through Spatial-Temporal Energy Compaction Generative Adversarial Networks for Extreme Learned Image Compression

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-25T17:37:04.983835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T17:36:50.957284Z digest=sha256:55252a59a25ee164f980f89332f9a0733c9fb30338d4399014a2bbcda18f236d

Observation 877814a5-da98-4431-8653-7839baa3b4ab · inbound

Deep Residual Learning for Image Compression cites this paper.

Deep Residual Learning for Image Compression Generative Adversarial Networks for Extreme Learned Image Compression

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-25T17:31:06.061616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T17:30:32.518902Z digest=sha256:fd4489beaa868627d0ef0baa42ffcfd95ab87a5e9faeb1127e3fe78b1db93fdb

Observation 119bcf9b-d1e1-478f-972a-6a8b85a75a57 · inbound

A Deep Image Compression Framework for Face Recognition cites this paper.

A Deep Image Compression Framework for Face Recognition Generative Adversarial Networks for Extreme Learned Image Compression

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T10:55:42.057894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T10:54:59.682723Z digest=sha256:c373a37b4f24a29b10f726f779aa6ee141d50ad2547ec0bb9b62694aec8cfeb9

Observation 5fb4a307-2520-456e-8359-21a586e57d62 · inbound

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow cites this paper.

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow Generative Adversarial Networks for Extreme Learned Image Compression

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:33:16.212629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T23:31:43.868878Z digest=sha256:1f2b7adc24d86376437e6788d58d3b7140610eb6081033281db4014bde427639

Observation 503c3ac5-231e-4b12-ad5c-2bee66f922cc · inbound

What Matters in Practical Learned Image Compression cites this paper.

What Matters in Practical Learned Image Compression Generative Adversarial Networks for Extreme Learned Image Compression

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:08.830707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T17:01:37.750351Z digest=sha256:b8710fb2f21cd924119d835719b39422e171603d6832f8b8046be3d7a0b26900

Observation 95345c86-2d24-4da0-a965-9cb119f03fe8 · inbound

Rethink Before You Execute: Adaptive Execution for World Action Models cites this paper.

Rethink Before You Execute: Adaptive Execution for World Action Models Generative Adversarial Networks for Extreme Learned Image Compression

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T16:32:25.572133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:32:25.572133Z digest=sha256:c3f6ed7e18b6c31f995013e30b06f9000739250bd676c2fce7b7d4b52ad97acc