Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.07831.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:26:45.375949Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T15:51:33.819365Z
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 42e2224b-2cea-473e-a876-be2a81e5587a · inbound
HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs cites this paper.
HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:26:45.375949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cf6acc1-50d5-41c6-8c1c-8dec0d2ee065 · inbound
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks cites this paper.
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:45.664416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b3804b2-3c01-4010-a449-1184cb4973fd · inbound
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction cites this paper.
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:51:33.822053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.