Pith. sign in

Paper Citation Record · LEDGER

Revisiting Demonstration Selection Strategies in In-Context Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.12087.

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

pith.paper-citation-record.v1
2401.12087 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:12:59.151780Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:41:31.395792Z

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 2a551a0d-f5f1-47c3-a57e-82a5d5ca1957 · inbound

Adaptive Task Vectors for Large Language Models cites this paper.

Adaptive Task Vectors for Large Language Models Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:12:59.151780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:59.151780Z digest=sha256:51b1bcd7c5e6d41458b5924c3615b3068a5d01f75ae684bd8084053cf1e1c8a7

Observation 8746ae8d-4351-4074-adb7-3a74fd4df104 · inbound

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

Surprise Calibration for Better In-Context Learning Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:38.691903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:38.691903Z digest=sha256:a9bbd7f834e153178b9e9bdf54c344a94a4f580a81a27c86ff741a81e9f11424

Observation 351db5ee-5086-4bb8-8d54-4c29918872c3 · inbound

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification cites this paper.

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:41:31.398386Z

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=pdf_text observed=2026-05-07T04:06:28.915790Z digest=sha256:881cf2399084f1f3978b709c59cf8e4a9ed0a8be3a0dbedc52889e1b6e26c179