Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2103.05579.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:02:39.307671Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T05:16:38.809864Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e06cf657-006b-4937-ad6b-15144e0102ec · inbound
da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 651d4507-f7b3-46ff-b558-6e3b0d11ef48 · inbound
Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0854bfaf-0dab-4463-bed1-f376e9c53386 · inbound
wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03fb3044-363c-4a22-b3f6-10a116dee780 · inbound
KANEL\'E: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4763eb8e-7508-4b52-a33a-959fcada76bd · inbound
Enabling Low-Latency Machine learning on Radiation-Hard FPGAs with hls4ml hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5ce19b0-063b-4eaa-ab76-b8cf9c568906 · inbound
On-chip probabilistic inference for charged-particle tracking at the sensor edge hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca909962-dd52-4fca-93ea-2241e6f6559d · inbound
Design Rules for Extreme-Edge Scientific Computing on AI Engines hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b15990a0-a00e-492e-9ba5-f2afb6428f8b · inbound
HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f4fad903-ee1f-46e4-b02d-6af121246afd · inbound
WaveDriver: a Laser Guide Star AO System for HWO hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 330d6e63-627c-4613-8eb8-585d2ec3b82a · inbound
The impact of source and survey modelling on the connection between [O III] emitters and Ly $\alpha$ forest transmission at z ~ 6 hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 172
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.