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Paper Citation Record · LEDGER

Tail-GAN: Learning to Simulate Tail Risk Scenarios

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.01664.

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

pith.paper-citation-record.v1
2203.01664 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:20.742567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:24:47.104168Z

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 d12edb14-3df5-4ca4-b5af-a318f10d7ec0 · inbound

Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events cites this paper.

Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events Tail-GAN: Learning to Simulate Tail Risk Scenarios

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:20.742567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:20.742567Z digest=sha256:d5f81a90decd3e45072fe4fcc4a7563d181f4396bb4c1b97db2c9426c91d2ba4

Observation 6ceb2de3-cd80-4606-be5c-12f1a5fa5806 · inbound

Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion model cites this paper.

Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion model Tail-GAN: Learning to Simulate Tail Risk Scenarios

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:39.943180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:52:39.943180Z digest=sha256:5a4d376a5e33e9abbddeba56a855ce318ebe6a70b1b04a0bcec2e38a75144fe6

Observation 2cf72a56-0161-48e1-81d7-4599911ca5e0 · inbound

Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models cites this paper.

Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models Tail-GAN: Learning to Simulate Tail Risk Scenarios

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:24:47.105501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T00:20:49.645479Z digest=sha256:011b113d2b1579352b1941de28fb312a6036e551ded53ca7b822faa406b7b9ef

Observation 2f8e760f-b970-4548-9245-9601acfc9133 · inbound

An Extreme Value Perspective on Learning Stress Laws cites this paper.

An Extreme Value Perspective on Learning Stress Laws Tail-GAN: Learning to Simulate Tail Risk Scenarios

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T09:55:27.630410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T09:55:27.630410Z digest=sha256:4e15be02b884d3fb9a3a3fee3206e8d7c8523b3e52936634372409d4b83884b0