Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.04660.
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 2026-08-09T04:15:29.128908Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:13:30.088333Z
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 be87bb64-8dc1-4dbd-8b13-02902baad362 · inbound
Advancing Weight and Channel Sparsification with Enhanced Saliency cites this paper.
Advancing Weight and Channel Sparsification with Enhanced Saliency Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:15:29.128908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac6dffac-5575-4316-b161-4c1ef2dd005b · inbound
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation cites this paper.
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:13:30.090372Z
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.