Paper Citation Record · LEDGER

DIET: Lightweight Language Understanding for Dialogue Systems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.09936.

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

pith.paper-citation-record.v1
2004.09936 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:31:34.245111Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

113
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0cbfd0e7-969a-4e47-9b02-9e4f4e88e56e · inbound

IntentGPT: Few-shot Intent Discovery with Large Language Models cites this paper.

IntentGPT: Few-shot Intent Discovery with Large Language Models DIET: Lightweight Language Understanding for Dialogue Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:31:34.245111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1460c095-2ee8-4bc2-b6c9-5af69b2661f2 · inbound

Task-Oriented Dialog Systems for the Senegalese Wolof Language cites this paper.

Task-Oriented Dialog Systems for the Senegalese Wolof Language DIET: Lightweight Language Understanding for Dialogue Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:15:32.441565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc63d71-4f5c-40e6-9799-9c27943cf30e · inbound

Generating training datasets for legal chatbots in Korean cites this paper.

Generating training datasets for legal chatbots in Korean DIET: Lightweight Language Understanding for Dialogue Systems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:55:51.270562Z

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 441ea237-b2a8-4b5e-9afd-e22a18f44d81 · inbound

Building Korean linguistic resource for NLU data generation of banking app CS dialog system cites this paper.

Building Korean linguistic resource for NLU data generation of banking app CS dialog system DIET: Lightweight Language Understanding for Dialogue Systems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:23.561093Z

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 b9f7d82e-7b7b-4040-bfe7-083b20deb35b · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes DIET: Lightweight Language Understanding for Dialogue Systems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:37.814919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.