Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CompAct: Compressed Activations for Memory-Efficient LLM Training
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.15352.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:43.192620Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T23:21:21.516432Z
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 b76d4d78-1879-481c-b4a7-0cf5fd46866a · inbound
PLUMAGE: Probabilistic Low rank Unbiased Min Variance Gradient Estimator for Efficient Large Model Training cites this paper.
PLUMAGE: Probabilistic Low rank Unbiased Min Variance Gradient Estimator for Efficient Large Model Training CompAct: Compressed Activations for Memory-Efficient LLM Training
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:43:43.192620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fa149e1-f93f-490a-bd46-0c7d732ec314 · inbound
Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking cites this paper.
Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking CompAct: Compressed Activations for Memory-Efficient LLM Training
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:06:26.479883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adbb3393-adcb-448a-9416-2798a6ea34f7 · inbound
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models cites this paper.
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models CompAct: Compressed Activations for Memory-Efficient LLM Training
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T23:21:21.523231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.