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Paper Citation Record · LEDGER

In-Context Learning for Text Classification with Many Labels

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.10954.

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

pith.paper-citation-record.v1
2309.10954 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:43:55.192925Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:20:37.512978Z

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 6095af26-496b-4ea1-9629-2207cdaca1a0 · inbound

Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification cites this paper.

Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification In-Context Learning for Text Classification with Many Labels

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:20:37.519366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T11:20:37.198920Z digest=sha256:ace82d83152f79e9f1904ab6ae938344eed30c295aa26fc91a4a6035d6325886

Observation f30f6a5c-287e-4ec6-89d2-7749818b0ea6 · inbound

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets cites this paper.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets In-Context Learning for Text Classification with Many Labels

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:55.192925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:43:55.192925Z digest=sha256:393f52b9aec68deb358039b8113410ee3306e7532da841f57f2a0b148a6b60c7