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Paper Citation Record · LEDGER

In-Context Learning User Simulators for Task-Oriented Dialog Systems

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.00774.

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

pith.paper-citation-record.v1
2306.00774 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 2026-07-31T06:34:12.847434+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:56:54.193914Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:58:02.864432Z

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 09eae55f-9fb9-4aeb-a9c8-bbd6af0ef322 · inbound

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants In-Context Learning User Simulators for Task-Oriented Dialog Systems

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:36:48.837345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-12T02:28:13.317630Z digest=sha256:7eb5cff1aaa904c66f22e3b057a3bdf13c29eba712a73a6911e2ee4be11d54f5

Observation 44eb4f90-1cf9-46a3-95e4-9b5b4d06dd38 · inbound

PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media cites this paper.

PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media In-Context Learning User Simulators for Task-Oriented Dialog Systems

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:58:02.868058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-05-14T21:56:54.193914Z digest=sha256:712e1566f0a28673aad0d4f9508fc8d4c24783ca356d519586fb5498e45b6e40