Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.13243.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T08:43:20.905414Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T14:43:22.160745Z
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 605531b5-d9b5-4a88-a6ce-73c1cc402a66 · inbound
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models cites this paper.
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:40:54.030810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da853add-376c-4c13-8f01-36b6f3571c98 · inbound
Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.
Self-Supervised On-Policy Distillation for Reasoning Language Models In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T14:43:22.163699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d25eefd2-f16f-4acc-8369-6452d37912ab · inbound
Sample-Efficient Learning from Agent Experience cites this paper.
Sample-Efficient Learning from Agent Experience In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:43:20.905414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.