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Paper Citation Record · LEDGER

In-Context Learning for Few-Shot Dialogue State Tracking

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.08568.

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

pith.paper-citation-record.v1
2203.08568 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:48:47.771958Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:26:06.390993Z

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 008b31b9-24c4-4bd4-ac92-74fc5fff9f4a · 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 In-Context Learning for Few-Shot Dialogue State Tracking

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:06.393157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T17:36:29.717792Z digest=sha256:9251bbba4e3637a6de6f5494fb4d6c5978fba1fea08e535cdccbf85d41bb3686

Observation 0450f9de-d6b4-4ed2-93e0-c7a4ed896f10 · inbound

Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation cites this paper.

Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation In-Context Learning for Few-Shot Dialogue State Tracking

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T11:48:47.771958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:48:47.771958Z digest=sha256:18c9241c4372c82c66c5e1ec9bb9a3ed4ab40c38c86ade8408402ef6ea48d722