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Paper Citation Record · LEDGER

A Bayesian approach for prompt optimization in pre-trained language models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.00471.

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

pith.paper-citation-record.v1
2312.00471 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:07:33.759905Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T23:52:00.977755Z

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 c3b771ab-7c36-41ff-a56a-6f9caeb8be5f · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks A Bayesian approach for prompt optimization in pre-trained language models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-10T23:07:33.759905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:33.759905Z digest=sha256:59bfa8436dc14867d1e6ccfb97d00994f5b6a577729409708837fd6eb59527e4

Observation e8a8ff84-693b-43dd-890e-01eed63d30a7 · inbound

Exploring Imbalanced Annotations for Effective In-Context Learning cites this paper.

Exploring Imbalanced Annotations for Effective In-Context Learning A Bayesian approach for prompt optimization in pre-trained language models

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:52:00.983421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T23:52:00.920054Z digest=sha256:5add6ea1293bc376e6771c25921a7267f6a1087d131b0f6d3d458b06a8e8de76