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Paper Citation Record · LEDGER

Alias-Free Generative Adversarial Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.12423.

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

pith.paper-citation-record.v1
2106.12423 v4

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:46.619292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:54:03.231167Z

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 229bba62-ad94-4f3c-a5c5-d22b79ce98b0 · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models Alias-Free Generative Adversarial Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:46.619292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:46.619292Z digest=sha256:5c71b263813f551f67684b14ee3aecb2bced999fe9562f5ade495fea83712dfe

Observation 71a27559-4bd4-436a-9209-86ebbcf11d90 · inbound

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality cites this paper.

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality Alias-Free Generative Adversarial Networks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:12:00.155921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:12:00.155921Z digest=sha256:d8fa2b0db5e3afcae8df1d805084304795a0ec984a3416b9e6c041877ef480ed

Observation fba1c469-5495-4d16-bf33-192bb60e493a · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Alias-Free Generative Adversarial Networks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:59.609024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:59.609024Z digest=sha256:4a6fc566f0fffaa0be917da3f7775cfc3f4dd48974dfcb06ca3fe61faca921a2

Observation 9c9f992f-8013-40f1-99d5-33caa3d8fb02 · inbound

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable cites this paper.

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable Alias-Free Generative Adversarial Networks

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:36.998031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:03:38.659547Z digest=sha256:111ad0c4916915d4dce329f2fe41e1d6c4299e47f309a742cfef0c717f462c90

Observation 41f54e1c-ba54-4374-aa67-930cefd59ccb · inbound

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients cites this paper.

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients Alias-Free Generative Adversarial Networks

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:54:03.232560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T23:53:30.631124Z digest=sha256:bc35cd1ede60b1f00365008c8eda0fd7932fd522433b7fc90f066c6f8ab6fd98