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Paper Citation Record · LEDGER

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.20046.

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

pith.paper-citation-record.v1
2310.20046 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:57:21.790722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:56:47.886309Z

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 5aab8a43-2a4e-4c52-9705-826ab7682adb · inbound

Demonstration Selection for In-Context Learning via Reinforcement Learning cites this paper.

Demonstration Selection for In-Context Learning via Reinforcement Learning Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:21.790722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:21.790722Z digest=sha256:8d3c3d7850652e14928659de35b730ded457dd2f4c8b7913bcb7469e38efcf95

Observation bcfbd593-e591-4346-aad7-3330937cbf58 · inbound

Revisiting In-Context Learning with Long Context Language Models cites this paper.

Revisiting In-Context Learning with Long Context Language Models Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T06:01:48.983557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:01:48.983557Z digest=sha256:002914de213a01a43355a16672ea225ef8701e2af9d79d8b7b00cc31605bb778

Observation 61ad0c17-bae6-4cc2-9bcb-b1990e893b4b · inbound

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting cites this paper.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:21:05.163056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:05.163056Z digest=sha256:1b37b9f928a3d34397122b96c8144156d5e6c9266608c7969a3a990f44914d11

Observation 152d6fac-ae5a-4ab4-ba90-700f4ab53f05 · inbound

StaICC: Standardized Evaluation for Classification Task in In-context Learning cites this paper.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:14.375398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:06:14.375398Z digest=sha256:33909b221f2bf5d426c29d6606df59c7417f266e465cbfea6f20213214aebb9e

Observation 613b6460-f770-489b-8606-f5d9a1378942 · inbound

ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.

ConText: Driving In-context Learning for Text Removal and Segmentation Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:10.410137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:01:10.410137Z digest=sha256:d87b027f14fb02e575483e2cb55d0deca445f8be05bfb5543c52c3afeb43c812

Observation cd5c1b38-481f-46f3-9c2a-03fa14fc4cde · inbound

LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation cites this paper.

LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T21:03:54.615877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:03:54.615877Z digest=sha256:6586bd47260827b9257aa6f7da788f1f3f2bf10fa97542128a01812f71daccc4

Observation 92977ee6-7da1-4e81-ac03-5db86e21bba6 · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:44:28.000504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:44:28.000504Z digest=sha256:e9bfc27e6e695a0ce08f4e97c51a3e388ddbc64900c46c474c0006bbfc6fcad6

Observation 72514d4f-2145-4089-a830-abba711ebba4 · inbound

SnapAudit: Active Auditing of Differentially Private In-Context Learning via Snapshot-Based Simulation cites this paper.

SnapAudit: Active Auditing of Differentially Private In-Context Learning via Snapshot-Based Simulation Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:22:08.964906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T22:20:53.561649Z digest=sha256:12eb55bfe93b30e2732b87064dfb9e54615732a1413399c3d8f942232ed6ec55

Observation 6600c003-f3a0-4423-aab8-0d2594f68452 · inbound

Activation-Based Active Learning for In-Context Learning: Challenges and Insights cites this paper.

Activation-Based Active Learning for In-Context Learning: Challenges and Insights Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:56:47.887792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T06:27:29.827899Z digest=sha256:c5af6bc8b48b646f308f6a587f380f3ffb2b7bd9e7fa6afa6b0bc3f98a99b340