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Paper Citation Record · LEDGER

On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1605.07669.

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

pith.paper-citation-record.v1
1605.07669 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:53.313821Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 23f438e9-0c0c-45e8-8279-62ea4aab80f1 · 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 On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:53.313821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:53.313821Z digest=sha256:d178f1e8d80e0456e924a158da4445fa03b95efeb927775c026bccf264d4bf4c

Observation bec58ce9-5ef7-4de3-bdc3-989e46a9b7e5 · inbound

Towards Detecting Inconsistencies in End-to-end Generated TODs cites this paper.

Towards Detecting Inconsistencies in End-to-end Generated TODs On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-13T03:47:31.338781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:47:31.338781Z digest=sha256:181e53ee4fa5ec4044bd8fb6dd2fe7b1126b95291ee8591fd80bbc034704318b