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Paper Citation Record · LEDGER

Adversarial Learning for Neural Dialogue Generation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1701.06547.

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

pith.paper-citation-record.v1
1701.06547 v5

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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:18:26.187805Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:26:40.386102Z

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 c29cee94-ec95-4874-b6e6-84cb5d626418 · inbound

Deep Learning Based Chatbot Models cites this paper.

Deep Learning Based Chatbot Models Adversarial Learning for Neural Dialogue Generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T11:31:41.140551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:31:41.140551Z digest=sha256:b828c6b7f41c603469a3bf962a8b5175b624428c89448cbae81f29fb5daff316

Observation 760ff2c1-d521-4b86-b2e9-cfa0925a8ce2 · inbound

Sparse Generative Adversarial Network cites this paper.

Sparse Generative Adversarial Network Adversarial Learning for Neural Dialogue Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T12:18:26.187805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:18:26.187805Z digest=sha256:1da047d23539a63b5de109b26c6875c0f6b5dc5122ab68dfc61433c2dc93a287

Observation 4e75d249-128b-478c-8af2-8a23c848bc1a · inbound

Implicit Deep Latent Variable Models for Text Generation cites this paper.

Implicit Deep Latent Variable Models for Text Generation Adversarial Learning for Neural Dialogue Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T10:19:26.473640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:19:26.473640Z digest=sha256:95138c3242c0f9d02bf01d15c154f56ed0a1033492b436af4c887cb117be3fa7

Observation 21c93f1e-3dca-4863-b8b4-8605fa84fe21 · inbound

Adversarial Bootstrapping for Dialogue Model Training cites this paper.

Adversarial Bootstrapping for Dialogue Model Training Adversarial Learning for Neural Dialogue Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T05:36:43.376047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:36:43.376047Z digest=sha256:3a4117e27fe02a99288c19116756926a3db06efbddb14ce453f0791291422b70

Observation dc64c1d3-eaf4-4f1a-9c78-88278fef9b17 · inbound

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification cites this paper.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Adversarial Learning for Neural Dialogue Generation

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.391201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.756117Z digest=sha256:39183f5285ba7111e53b699c8ee8deb4e656ace52c3c3a266c767d73f0c6a50f