Paper Citation Record · LEDGER

Density Modeling of Images using a Generalized Normalization Transformation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1511.06281.

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

pith.paper-citation-record.v1
1511.06281 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:12:40.369572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:36:48.438263Z

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 b153d750-4f69-4c8b-9453-128873d3e0be · inbound

Density estimation using Real NVP cites this paper.

Density estimation using Real NVP Density Modeling of Images using a Generalized Normalization Transformation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:56:05.273485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6075de5d-618b-4b7d-8de4-f514907c0bff · inbound

Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement cites this paper.

Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement Density Modeling of Images using a Generalized Normalization Transformation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T05:12:40.369572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e308285-9b49-4b55-bf99-f1711e9ceef0 · inbound

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection cites this paper.

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Density Modeling of Images using a Generalized Normalization Transformation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:36:48.441263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec779e6f-b28c-488c-8063-4d6db79f381a · inbound

Cross-Layer Encrypted Semantic Communication Framework for Panoramic Video Transmission cites this paper.

Cross-Layer Encrypted Semantic Communication Framework for Panoramic Video Transmission Density Modeling of Images using a Generalized Normalization Transformation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:18.501996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4d01d20-2758-47b7-8ab6-e77d5effaee0 · inbound

Versatile Volumetric Medical Image Coding for Human-Machine Vision cites this paper.

Versatile Volumetric Medical Image Coding for Human-Machine Vision Density Modeling of Images using a Generalized Normalization Transformation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:13.169659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d94e5f1-adcc-4f0e-8c80-37da78f60544 · inbound

A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression cites this paper.

A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression Density Modeling of Images using a Generalized Normalization Transformation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:51:31.885923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0414f58a-f27f-44cf-8b91-51eff1e46b21 · inbound

LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression cites this paper.

LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression Density Modeling of Images using a Generalized Normalization Transformation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:39:25.908139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46d9e28d-5c2b-4225-9a14-e4997b8bc8c4 · inbound

LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression cites this paper.

LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression Density Modeling of Images using a Generalized Normalization Transformation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T16:21:48.273894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce127892-92e6-488a-8e59-14f1d87cee54 · inbound

Hadamard-Domain Model Quantization for Learned Image Coding cites this paper.

Hadamard-Domain Model Quantization for Learned Image Coding Density Modeling of Images using a Generalized Normalization Transformation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T23:36:19.658730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92abb380-b043-45da-a1d7-d69ec4ab3fa8 · inbound

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

Rethink Before You Execute: Adaptive Execution for World Action Models Density Modeling of Images using a Generalized Normalization Transformation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T16:32:25.584685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.