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Paper Citation Record · LEDGER

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1811.10597.

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

pith.paper-citation-record.v1
1811.10597 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:01:34.681223Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

183
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b2fd78c2-ddf0-4a83-bf55-e84ff4f34e98 · inbound

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference cites this paper.

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-24T16:34:41.515187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T16:32:31.496085Z digest=sha256:da013e541700014cb28fa6b91d39a006d2edfd94fb00eabee0d7444b40a56d0f

Observation 02f4ed0d-b60b-466c-ae6e-bd853be2c99c · inbound

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization cites this paper.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T15:01:34.681223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:01:34.681223Z digest=sha256:f9defd7aea1a3cc2be73b8388d5b4c6040991307c6827c791b58d53de2911e82

Observation 12a7af6d-51fb-44dc-8cf3-8b7b62831c75 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Reference 285

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T20:17:54.864960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:054110d6694d53d69848478f854c8a552102d18dc1d8482532b9133852bce1f1

Observation cca9f376-5388-4a61-8dc8-1988ba412159 · inbound

Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering cites this paper.

Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:38.973666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T11:57:08.849135Z digest=sha256:064e736cb2e4c4ed1fa3462c362d176366a078343dbb0c0495636ddab70993c2

Observation 65f56386-dd8a-46ff-8e77-d1398864ecb4 · inbound

Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection cites this paper.

Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T03:57:38.890132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T14:17:09.318269Z digest=sha256:a554c05392c8f32a080e59ef73a1a690ad08ee7542d98af261de5cb6792526b7