Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Structured Pruning Learns Compact and Accurate Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.00408.
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 2026-08-06T22:11:58.490081Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:02:34.540502Z
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 fa19ff03-e060-4162-a87b-09a05543d1b0 · inbound
Projected Compression: Trainable Projection for Efficient Transformer Compression cites this paper.
Projected Compression: Trainable Projection for Efficient Transformer Compression Structured Pruning Learns Compact and Accurate Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:11:58.490081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e57df223-99ed-4b89-8ea7-69d3d8776c19 · inbound
EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.
EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Structured Pruning Learns Compact and Accurate Models
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:59:02.848131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 608b344a-220c-4b94-ad99-0ce204877e42 · inbound
Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.
Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts Structured Pruning Learns Compact and Accurate Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:40:36.512250Z
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 7f6d88e5-8006-46f0-89a2-578f60f73887 · inbound
SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference cites this paper.
SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Structured Pruning Learns Compact and Accurate Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:01:16.388311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21be61e3-d804-4d25-a5f5-307f56c6c89e · inbound
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation cites this paper.
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation Structured Pruning Learns Compact and Accurate Models
Reference 141
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:02:34.541777Z
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.