Pith. sign in

Paper Citation Record · LEDGER

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1702.07983.

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

pith.paper-citation-record.v1
1702.07983 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:30:58.388524Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T18:41:08.236970Z

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 9293f7d9-90fc-4436-9558-d8a053a1ee82 · inbound

Evaluating Computational Language Models with Scaling Properties of Natural Language cites this paper.

Evaluating Computational Language Models with Scaling Properties of Natural Language Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:41:08.240350Z

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.

source=arxiv_source observed=2026-05-25T18:40:15.883063Z digest=sha256:b4c9d6712d03edba554544fa476ae61295130f6be11185b5343110bad0a100c7

Observation 0d4bcd34-2285-45a5-8e98-3db29a751047 · inbound

Justifying Diagnosis Decisions by Deep Neural Networks cites this paper.

Justifying Diagnosis Decisions by Deep Neural Networks Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:35:01.975258Z

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.

source=pdf_text observed=2026-05-24T22:30:58.845280Z digest=sha256:99acd1612352048ebcb32d9ba7ab3aa3466f8068e474431d5d36eb1e33697804

Observation 471ba842-4157-4eef-a779-7c022f2a79ed · inbound

ARAML: A Stable Adversarial Training Framework for Text Generation cites this paper.

ARAML: A Stable Adversarial Training Framework for Text Generation Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T12:28:33.864533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:28:33.864533Z digest=sha256:8a37ec90a4f840c8578f71cb58c074bc0d7c26c66941fe7afb4ff4a5ee901742

Observation ec62fa43-2125-4730-8927-f4772a97786e · inbound

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

DGSAN: Discrete Generative Self-Adversarial Network Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T11:28:08.523512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:28:08.523512Z digest=sha256:f40b900edb8e9c7578df1de21558bdc952b52e9415753e50332345cbd8f266d4

Observation 5c605c9c-c258-43df-af3d-4154099a784f · inbound

Adversarial Bootstrapping for Dialogue Model Training cites this paper.

Adversarial Bootstrapping for Dialogue Model Training Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T05:36:43.322474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:36:43.322474Z digest=sha256:ea04873e8a3e0d06fefa0bfb63e9843184c8805e8f2b7fb8ba0d0f791c633c0d

Observation 0bf7431b-56f6-4fbd-8926-382a0d35080f · inbound

Survey on reinforcement learning for language processing cites this paper.

Survey on reinforcement learning for language processing Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T12:54:29.768964Z

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.

source=pdf_text observed=2026-05-24T12:54:27.155842Z digest=sha256:080d4b5bc66682414d42398525aaaa578e3069034b577fc6914f2c9a4983b02b

Observation 4bf0f934-ab8b-46f0-98cf-9c290f05a9cb · inbound

Detecting Spelling and Grammatical Anomalies in Russian Poetry Texts cites this paper.

Detecting Spelling and Grammatical Anomalies in Russian Poetry Texts Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:30:58.388524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:30:58.388524Z digest=sha256:b3f118ec9ab1be221ed2044f997042ba43435f174fcd7f61d66b38c530e08cdd

Observation 6e5a3bbf-71ad-4ca9-88f3-ab5493f6af70 · inbound

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows cites this paper.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:24:19.712510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:24:19.712510Z digest=sha256:a41093d4a05e52d8aa4213ba2ac56e8eec81b001fee518c74d820478b7fb84af