Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:45:55.173719Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2604.13287.
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, observed 2026-05-10T15:45:55.173719Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
6 of 6 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2c83ba14-693f-403f-9d0c-dd2d7aa4076b · outbound
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models SPDY: Accurate Pruning with Speedup Guarantees
Reference 2
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 af35a5c5-be30-40b9-9fe4-7951b68ccfc3 · outbound
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models The Optimal
Reference 3
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 d3f76fd3-4797-4933-945e-37027c7ef4bb · outbound
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, and Philip H
Reference 4
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 ee12be2c-676a-4226-9fd9-a7686b08cfe1 · outbound
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 5
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 e7e64a83-2545-407f-99cf-88c181a74a1d · outbound
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models URL https:// doi.org/10.18653/v1/p19-1472
Reference 6
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 b2099818-8f59-4e63-979b-85c0cf421bd0 · outbound
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models For these methods, we report the total pruning time needed to obtain pruned weights for all target sparsities: 0.5, 0.6, 0.7, 0.8, and 0.9
Reference 7
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.
No inbound Pith citation observations are available.