Paper Citation Record · LEDGER

Dimensionality compression and expansion in Deep Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1906.00443.

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

pith.paper-citation-record.v1
1906.00443 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:49:05.467916Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:21.603819Z

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 2d7548dc-c47e-4fba-bbe3-a62046c54343 · inbound

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection cites this paper.

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection Dimensionality compression and expansion in Deep Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:42:37.758755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e150d8a7-1899-48ba-a430-82005e5b429a · inbound

Intermediate Representations are Strong AI-Generated Image Detectors cites this paper.

Intermediate Representations are Strong AI-Generated Image Detectors Dimensionality compression and expansion in Deep Neural Networks

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:06.715675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0206c378-2070-4e78-aa15-38a73e63a5b5 · inbound

The Stable Recovery Manifold: Geometric Principles Governing Recoverability in Continual Learning cites this paper.

The Stable Recovery Manifold: Geometric Principles Governing Recoverability in Continual Learning Dimensionality compression and expansion in Deep Neural Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:21.605593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b223fd15-503e-48a4-a662-d3a995e29383 · inbound

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs cites this paper.

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs Dimensionality compression and expansion in Deep Neural Networks

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.602112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a91d622-0a59-4cd3-b96d-52925bb96075 · inbound

How to Tame Grokking: Representation Geometry as a Control Signal cites this paper.

How to Tame Grokking: Representation Geometry as a Control Signal Dimensionality compression and expansion in Deep Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T04:01:12.361370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ec326a-b65f-4eae-aba4-ff127f03c4ab · inbound

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease cites this paper.

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease Dimensionality compression and expansion in Deep Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:05.467916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.