Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.13744.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T22:01:50.141373Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:41:45.630381Z
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 16382795-8697-4e76-9a16-c793dfce4b3e · inbound
Can adversarial attacks by large language models be attributed? cites this paper.
Can adversarial attacks by large language models be attributed? mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T22:01:50.141373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74f638ba-cbd9-458f-9d4d-15f3ba018e84 · inbound
Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers cites this paper.
Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:41:45.637095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 925974b6-3321-461a-955a-e4e1e8c638f2 · inbound
Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs cites this paper.
Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T18:44:16.838839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.