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Paper Citation Record · LEDGER

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10466.

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

pith.paper-citation-record.v1
2402.10466 v4

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 2026-08-07T23:38:33.909328Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:26:06.353068Z

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 9540fe74-3162-4ee9-b067-c8d0f4ca10ee · inbound

Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model cites this paper.

Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model Large Language Models as Zero-shot Dialogue State Tracker through Function Calling

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T23:38:33.909328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:38:33.909328Z digest=sha256:bb1a53ea35715cc6edce75a5adc244951c96bd45723c1b94ea21bb3168bd02e7

Observation ece77c68-0162-4f72-9195-bf1a775203ff · 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 Large Language Models as Zero-shot Dialogue State Tracker through Function Calling

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:06.355274Z

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:f27241ecc9913e0d51fc16d352316be1dcfc845d0747f161884ca68ae411e971