Paper Citation Record · LEDGER

GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1611.04051.

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

pith.paper-citation-record.v1
1611.04051 v1

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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:28:08.528105Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:35:14.449491Z

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 f337d8cb-1d5b-4784-8f70-9c8cfaaabf0f · inbound

DGSAN: Discrete Generative Self-Adversarial Network cites this paper.

DGSAN: Discrete Generative Self-Adversarial Network GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T11:28:08.528105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db15d77-eef7-4fd3-bfdb-444731e96ee4 · inbound

Natural Adversarial Sentence Generation with Gradient-based Perturbation cites this paper.

Natural Adversarial Sentence Generation with Gradient-based Perturbation GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T04:47:02.080990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46078f70-9e5f-45c3-b25e-4ccc9eb6aa0b · inbound

DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation cites this paper.

DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:04.625638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc2963b-c71b-4ff8-bda0-0ba837ff7e0a · inbound

Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning cites this paper.

Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:14.551598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 411bd474-9487-43a1-8a0d-907d378db3ab · inbound

FlexAct: Why Learn when you can Pick? cites this paper.

FlexAct: Why Learn when you can Pick? GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T11:27:30.183067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.