Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.08743.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:14.549376Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T14:58:33.245994Z
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 cfebed38-49df-4043-a9bc-f1a86ed9f7c5 · inbound
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents cites this paper.
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:02:14.549376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2b01a60-200f-4c27-b932-85cd54dacb54 · inbound
GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking cites this paper.
GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:26:06.295914Z
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.
Observation 224d7447-2b13-46e0-9e8c-3b6e9167ceff · inbound
SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents cites this paper.
SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:33.247149Z
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.