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Paper Citation Record · LEDGER

Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15603.

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

pith.paper-citation-record.v1
2412.15603 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:33.826724Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:36:35.852122Z

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 c0a99bc3-4e46-44ea-a75e-0c3358c79a14 · inbound

Deep Learning Approaches for Multimodal Intent Recognition: A Survey cites this paper.

Deep Learning Approaches for Multimodal Intent Recognition: A Survey Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:36:35.859406Z

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.

source=pdf_text observed=2026-08-06T14:36:33.826724Z digest=sha256:37f4470c913eb82d7e81e7278e3fc0f299b4841338e174dc41aeae12ac157eb2

Observation 8d80c15b-7731-4163-9a6f-a53f933ce77b · inbound

Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models cites this paper.

Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-31T01:27:14.640350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:27:14.640350Z digest=sha256:4914e149c5d2b98642a5cd93273f323d6670148edd2ec5a6e28bec995784a657