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Paper Citation Record · LEDGER

Ambiguity-Aware In-Context Learning with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.07900.

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

pith.paper-citation-record.v1
2309.07900 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:56:50.460408Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.857734Z

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 f06e5ab2-8d74-47cf-804b-6e7f98220945 · inbound

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models cites this paper.

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models Ambiguity-Aware In-Context Learning with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:50.460408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:56:50.460408Z digest=sha256:f0d2c28bffb25eb97c2154d872542a6fcecbbb98dad839373e7ba40a7944fd8b

Observation affefca1-e0a1-41e0-b4d6-d6daecf9ed56 · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Ambiguity-Aware In-Context Learning with Large Language Models

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.859167Z

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=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:a4447775245e5e5cd95e560bd9c4a4cd2887341c92014dd94e905043fcf46572