Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.02643.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:19.129246Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T06:34:01.044705Z
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 6d0ee260-f0d5-4c76-93af-eef4a0c64a89 · inbound
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs cites this paper.
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:34:01.047986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1fa92b7c-f112-4c2e-b429-afe41b7667f2 · inbound
NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.
NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:19.129246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa3a6950-d271-4814-8003-e2ff2541f920 · inbound
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE cites this paper.
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:35:55.571155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.