Paper Citation Record · LEDGER

Prototypical Calibration for Few-shot Learning of Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.10183.

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

pith.paper-citation-record.v1
2205.10183 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:37.546662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:46.899138Z

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 0a92628e-cb20-451d-90a7-93263d1a1878 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Prototypical Calibration for Few-shot Learning of Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:36.669011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb3eb0ae-08a7-4e75-8b4a-65241c535079 · inbound

Surprise Calibration for Better In-Context Learning cites this paper.

Surprise Calibration for Better In-Context Learning Prototypical Calibration for Few-shot Learning of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:37.546662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bb4a3e-f195-4311-9038-9434a4b59b47 · inbound

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation cites this paper.

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation Prototypical Calibration for Few-shot Learning of Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:46.900939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5998e847-19de-4a84-94ff-c8ce9bdcb186 · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks Prototypical Calibration for Few-shot Learning of Language Models

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-01T16:08:01.037462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.