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Paper Citation Record · LEDGER

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1801.06176.

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

pith.paper-citation-record.v1
1801.06176 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:22.329232Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:05:22.533168Z

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 ba326a11-4c43-4765-8043-fe43be17f6ea · inbound

An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals cites this paper.

An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T11:05:22.540401Z

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=pdf_text observed=2026-08-07T11:05:22.329232Z digest=sha256:ab6c9ac92a557f766a68e92ff05c102f12f731838ee0676b489fdd445897f38a

Observation 9b747b86-1930-4f19-b8b1-4c49bb3fb30c · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:49.949007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:49.949007Z digest=sha256:2884d7c1b741e7d421ab02e267d20f8621fcdfd654108da4c367b285a0c97268