Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.14129.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:50:16.839189Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:06:20.918116Z
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 c65cba86-4768-4c6c-9440-c869f193b21e · inbound
QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception cites this paper.
QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:50:16.839189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89fb710e-10dd-4a3e-80a2-9790b5a014a2 · inbound
LASER: Low-Rank Activation SVD for Efficient Recursion cites this paper.
LASER: Low-Rank Activation SVD for Efficient Recursion ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T09:23:37.415214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ccb4d0dd-ec65-4f4e-8bc6-50fd7044ca27 · inbound
TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training cites this paper.
TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:06:20.921602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.