Paper Citation Record · LEDGER

In-context Example Selection with Influences

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2302.11042.

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

pith.paper-citation-record.v1
2302.11042 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:05:57.486956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:40.577367Z

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 ddb23212-8872-4b63-ac00-42ee8081c205 · inbound

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

Exploring Imbalanced Annotations for Effective In-Context Learning In-context Example Selection with Influences

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T23:52:00.824294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6adca0b9-5ed6-44a6-b9b9-9ae284792e38 · inbound

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach cites this paper.

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach In-context Example Selection with Influences

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T12:05:57.486956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a009c387-95b9-4491-9b40-887d9d2e5afa · inbound

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models cites this paper.

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models In-context Example Selection with Influences

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:44.610170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a20ee2-6dca-445a-a057-3000b1ecf458 · inbound

Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples cites this paper.

Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples In-context Example Selection with Influences

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:30.948434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a7e646-08e9-4675-9b6a-b21bb84855e4 · inbound

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software cites this paper.

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software In-context Example Selection with Influences

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:35.069269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c69f351-4171-4272-9318-7d06183a59ca · inbound

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer cites this paper.

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer In-context Example Selection with Influences

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:43:48.507450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0adeacc6-a6d3-4f9a-b525-e83e7bf77761 · inbound

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair cites this paper.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair In-context Example Selection with Influences

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T06:13:00.064773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5791d1a3-1d03-43d0-915b-82f14e3724c3 · inbound

Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection cites this paper.

Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection In-context Example Selection with Influences

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:13:13.443636Z

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 c4ce9c9d-b6c9-4008-b42f-905360e21a57 · inbound

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning cites this paper.

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning In-context Example Selection with Influences

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:34:02.716751Z

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 d2963d58-151d-4b63-8a1e-0dc5637acf82 · inbound

Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics cites this paper.

Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics In-context Example Selection with Influences

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:40.579766Z

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.