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Paper Citation Record · LEDGER

Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.06966.

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

pith.paper-citation-record.v1
1805.06966 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:23:45.665587Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:43:08.656847Z

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 794e60b6-f672-4a88-b149-5f522752d23b · inbound

How to Build User Simulators to Train RL-based Dialog Systems cites this paper.

How to Build User Simulators to Train RL-based Dialog Systems Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T05:23:45.665587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:23:45.665587Z digest=sha256:188141e7945490d7df723686d76618c923cd247bd40de2121a2177dc479603d5

Observation 55be7344-65e9-466b-a782-a9139d670165 · inbound

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? cites this paper.

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems

Reference 2010

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:43:08.701502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T00:43:06.553376Z digest=sha256:e4494498249813de8f37993987f41cdb2b68e4ac81018521545fa017263dd0e3