Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1704.03084.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:50.026855Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-19T13:52:20.046080Z
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 e766a7c6-f88a-474f-b1d2-d9d9df2c0258 · 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 Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Reference 125
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:38:50.026855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eca31ca-63ff-425c-9e18-9966ca198ede · inbound
Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents cites this paper.
Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Reference 122
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:25:04.829347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6d7bfd09-1e43-4218-a1d3-452e9991e0a0 · inbound
Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents cites this paper.
Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Reference 122
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T13:52:20.049136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.