Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2207.11719.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:13.827628Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:22:34.802677Z
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 7871e62a-ed22-48c5-a5aa-b83a097be21a · inbound
AffinityFlow: Guided Flows for Antibody Affinity Maturation Gradient-based Bi-level Optimization for Deep Learning: A Survey
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccc06cb3-b767-4221-bfb0-141fc500e778 · inbound
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Gradient-based Bi-level Optimization for Deep Learning: A Survey
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 534cf64d-9d93-4bf7-84a8-5ef277a4b5ac · inbound
AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training Gradient-based Bi-level Optimization for Deep Learning: A Survey
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 606b3050-463d-45e8-89bd-deb71b8b5040 · inbound
Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning Gradient-based Bi-level Optimization for Deep Learning: A Survey
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6ae1584-aa33-4cb8-ab4e-b336c635d515 · inbound
CHAL: Council of Hierarchical Agentic Language Gradient-based Bi-level Optimization for Deep Learning: A Survey
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a8ab5bb8-452b-4867-b966-776e02bf83c7 · inbound
On the Difficulty of Learning a Meta-network for Training Data Selection Gradient-based Bi-level Optimization for Deep Learning: A Survey
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.