Paper Citation Record · LEDGER

Taming GANs with Lookahead-Minmax

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.14567.

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

pith.paper-citation-record.v1
2006.14567 v3

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:10.126439Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:22:37.022998Z

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 0ee77c2e-832d-42be-a78b-d587e9ded567 · inbound

Rapid Learning in Constrained Minimax Games with Negative Momentum cites this paper.

Rapid Learning in Constrained Minimax Games with Negative Momentum Taming GANs with Lookahead-Minmax

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:58:10.126439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346ded9d-bdce-42bc-91c2-440e8a971523 · inbound

Decoupled SGDA for Games with Intermittent Strategy Communication cites this paper.

Decoupled SGDA for Games with Intermittent Strategy Communication Taming GANs with Lookahead-Minmax

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:06:08.979458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bbfb3aa-c2d2-4aaf-850c-f88a2f8e063b · inbound

Training Deep Learning Models with Norm-Constrained LMOs cites this paper.

Training Deep Learning Models with Norm-Constrained LMOs Taming GANs with Lookahead-Minmax

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:22:37.025401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 037e7605-5069-48e2-ad05-bfe9988ca768 · inbound

Solving Zero-Sum Convex Markov Games cites this paper.

Solving Zero-Sum Convex Markov Games Taming GANs with Lookahead-Minmax

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.347794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.