Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.06692.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:20.521520Z
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 17ea860b-5e66-4673-a0b5-82171a40dc6a · inbound
Efficient Data Selection at Scale via Influence Distillation An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d995afe-0be7-454a-860a-0930a3d909bf · inbound
ATGen: A Framework for Active Text Generation An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae3c261c-8784-4f6e-99ba-7bda28ee84e1 · inbound
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7058df37-d16b-4192-9ad6-7000d6e7b9d7 · inbound
GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.