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Paper Citation Record · LEDGER

CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2009.05199.

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

pith.paper-citation-record.v1
2009.05199 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:39:52.549792Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.526724Z

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 d3d35f49-8960-4d08-9645-edb31ccbcf51 · inbound

Explaining 3D Computed Tomography Classifiers with Counterfactuals cites this paper.

Explaining 3D Computed Tomography Classifiers with Counterfactuals CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T13:39:52.549792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:39:52.549792Z digest=sha256:c32c2451fc91caab688caf722a7560465acd2680e75e309e29518ead69155f88

Observation c325010e-1157-4ffd-a7e7-45e3cbe94325 · inbound

AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation cites this paper.

AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:04:19.847743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:19.847743Z digest=sha256:39adb35927624af9864950d5ccb6fb47ec632a51f8910d64fd21e2e2539de324

Observation 0ce2a5d7-439b-4fc2-844a-a355baf385a1 · inbound

An Explainable Gaussian Process Auto-encoder for Tabular Data cites this paper.

An Explainable Gaussian Process Auto-encoder for Tabular Data CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T13:13:50.895084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:13:50.895084Z digest=sha256:9940363ca6206455047646bbeaa566c54dd988a43c1301c1da14939b4d8c66ef

Observation 3aa59784-e879-4bb4-a07e-1644f0b83ce1 · inbound

TabChange: Precise Attribute Changes in Tabular Data cites this paper.

TabChange: Precise Attribute Changes in Tabular Data CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:12:34.984704Z

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=2026-06-28T19:05:28.806009Z digest=sha256:f95eacc57ce62ce3fef94acb4284718bcca704bde1928c21f39ceba227d83a90

Observation 9dc20c90-cac3-4368-bcf4-283702e70993 · inbound

Residual-Space Evolutionary Optimization via Flow-based Generative Models cites this paper.

Residual-Space Evolutionary Optimization via Flow-based Generative Models CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:34.528559Z

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=2026-06-26T17:13:14.352933Z digest=sha256:554425f472087fdd42da3e8e04a3b597a2d35555c2b6814ed938a6a08caa038b