Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.12511.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:48:28.652472Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:51:11.838674Z
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 1bfe4783-7be1-4f28-acd9-eb212e020faf · inbound
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Reference 56
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f28b408-3302-4933-9065-e3a22ee6c58a · inbound
ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f7069a1-e632-496a-a9aa-2cd5702003d2 · inbound
ViPO: Visual Preference Optimization at Scale PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9395f6b6-af73-43d3-ac41-3f1d4ba5a549 · inbound
Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.