Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.15592.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:04.051135Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 97ea1a5c-cf8a-4790-8a2d-04c3a4548379 · inbound
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63860f6c-94dc-4de3-b3ea-e8ff13d50f23 · inbound
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
Reference 73
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 311d2ac5-0746-400f-b894-7c9bc126f68b · inbound
Adam's Law: Textual Frequency Law on Large Language Models Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
Reference 40
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.
Observation 47b2401e-63b7-4f4d-8ce8-cc5c25201214 · inbound
Adam's Law: Textual Frequency Law on Large Language Models Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.