Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.10873.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:46:05.664458Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:44:28.338082Z
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 844f10de-a47f-4635-bcba-4a3297884042 · inbound
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios cites this paper.
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:25:31.732283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02eb8b17-5a0b-4239-add0-9d30a03c05b3 · inbound
Memory-Augmented Agent Training for Business Document Understanding cites this paper.
Memory-Augmented Agent Training for Business Document Understanding IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:27:32.130671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0466337d-8db6-43b3-8cd0-cd0768beba1a · inbound
LoRAGuard: An Effective Black-box Watermarking Approach for LoRAs cites this paper.
LoRAGuard: An Effective Black-box Watermarking Approach for LoRAs IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:19:18.400526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 262fe2cd-0c53-49d4-a973-f8815ad6f887 · inbound
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale cites this paper.
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:46:05.664458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6167721-7048-43ee-9f6a-ed1c107f53d9 · 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 IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:44:28.340637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.