Paper Citation Record · LEDGER

Revisiting In-Context Learning with Long Context Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.16926.

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

pith.paper-citation-record.v1
2412.16926 v3

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 2026-08-07T15:09:42.345000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:22:08.844619Z

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 ee2e7284-731f-4b64-88f5-d71ee45b270c · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Revisiting In-Context Learning with Long Context Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:08.847660Z

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 7a8413dd-c119-4635-ae4d-7266a9048d9b · inbound

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning cites this paper.

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Revisiting In-Context Learning with Long Context Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:42.345000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0bdf73-0943-45c6-925d-1c0d4af84acd · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning Revisiting In-Context Learning with Long Context Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:38.184876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd4e245-6066-4827-9e9f-e1a0e395e730 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning Revisiting In-Context Learning with Long Context Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.431204Z

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.