Paper Citation Record · LEDGER

C-ICL: Contrastive In-context Learning for Information Extraction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.11254.

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

pith.paper-citation-record.v1
2402.11254 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:51:53.564040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:21.323323Z

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 dd23525a-3e33-4f13-888d-cae7ea363101 · inbound

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion cites this paper.

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion C-ICL: Contrastive In-context Learning for Information Extraction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T19:51:53.564040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca7aa42-f059-47d8-b0c3-7294a4b38c9d · inbound

SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation cites this paper.

SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation C-ICL: Contrastive In-context Learning for Information Extraction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:35.728961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170493a7-615f-41d0-a268-77b8e4f05b7d · 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 C-ICL: Contrastive In-context Learning for Information Extraction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:35.066390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0170d6-e758-482d-a8c8-b48fd24af426 · inbound

LC-ICL: Label-Guided Contrastive In-Context Learning for Robust Information Extraction cites this paper.

LC-ICL: Label-Guided Contrastive In-Context Learning for Robust Information Extraction C-ICL: Contrastive In-context Learning for Information Extraction

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:21.324917Z

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 1dd5cb85-30a2-492f-a1cf-dd5c649f36ab · inbound

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction cites this paper.

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction C-ICL: Contrastive In-context Learning for Information Extraction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T22:49:42.939870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352f91bb-1f0a-494e-bc32-7e23c11dded1 · inbound

DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models cites this paper.

DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models C-ICL: Contrastive In-context Learning for Information Extraction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T17:59:31.466358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.