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Paper Citation Record · LEDGER

Automatic Demonstration Selection for LLM-based Tabular Data Classification

As of 19 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2506.20451.

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

pith.paper-citation-record.v1
2506.20451 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:44.960472Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d416ee76-39bb-48d0-a9ee-830931e6bff3 · outbound

This paper cites Language Models are Realistic Tabular Data Generators.

Automatic Demonstration Selection for LLM-based Tabular Data Classification Language Models are Realistic Tabular Data Generators

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:44.785769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:44.785769Z digest=sha256:912824f9894478211c91d9da486ee1a856f7999b2caba5c15bfd86a5393bdc74

Observation 1f856394-3caa-440d-832c-4998e5de02ef · outbound

This paper cites Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning.

Automatic Demonstration Selection for LLM-based Tabular Data Classification Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:52:45.140306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:52:44.864742Z digest=sha256:f37ec4295d74c2e101c1de9f11c8fbc6e313190a6965cff4515d39aaf6592cb6

Observation 60c53857-cf76-4bc4-b2a7-dccc187299cc · outbound

This paper cites K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters.

Automatic Demonstration Selection for LLM-based Tabular Data Classification K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:44.960472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:44.960472Z digest=sha256:431343943abf3976d9cc26dd133297b8fa78ec43b6ef3314a828f961559fb840

Pith citing papers

No inbound Pith citation observations are available.