Pith. sign in

Paper Citation Record · LEDGER

PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.00981.

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

pith.paper-citation-record.v1
2108.00981 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:51:56.253990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:24:59.573172Z

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 c043d693-2cc2-42c7-9410-fdefea6de3e2 · inbound

Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme cites this paper.

Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:24:59.577443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T16:21:59.840352Z digest=sha256:2e0bb4a6f6615d2d1960e37173f8008a10a0df536486dc17cb8763e93f7f377d

Observation d7cba558-83f6-469d-828b-c98381a02a5e · inbound

Parallel Complex Diffusion for Scalable Time Series Generation cites this paper.

Parallel Complex Diffusion for Scalable Time Series Generation PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T02:51:56.253990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:51:56.253990Z digest=sha256:0169dfd0d00469769b1c913692f14af56e2ac1cbd48fff11795b501d2d4f43ce