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Paper Citation Record · LEDGER

Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.06469.

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

pith.paper-citation-record.v1
2401.06469 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:13:00.203912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:03:47.506261Z

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 e3c21e7b-a1a2-47b0-b4cd-72952f9182e0 · inbound

Adaptive Task Vectors for Large Language Models cites this paper.

Adaptive Task Vectors for Large Language Models Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:13:00.203912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:13:00.203912Z digest=sha256:858ff32c3dbbbfdc1bb93c6180f1aeab2af01ac8a33eeab1b520ea3033baef2c

Observation 72dcce49-3aa0-4946-9129-a87281acdafe · inbound

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis cites this paper.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

Reference 139

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:03:47.575795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T17:03:45.663993Z digest=sha256:80a22228a9771bdc0dd1ccab3b39f529b3a02d1cee0fbb987398a5fb51d49579