Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.04803.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:12:14.496306Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:46:43.029237Z
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 f3adab86-9012-4eb6-abd1-9d165470cd4e · inbound
TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e5059e3-d849-462d-bfa2-723b027dbe65 · inbound
Learning Quantized Continuous Controllers for Integer Hardware The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e797041-37c6-4eef-ab70-3862a92d7999 · inbound
Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e16ec4b-d0b7-4282-9ac5-51496790f678 · inbound
BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.