Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optimization without Backpropagation
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.06302.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:47:52.970964Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T21:23:44.545109Z
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 8d026726-b8f0-4a24-9375-aa6ffde050fd · inbound
Noise-based Local Learning using Stochastic Magnetic Tunnel Junctions cites this paper.
Noise-based Local Learning using Stochastic Magnetic Tunnel Junctions Optimization without Backpropagation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:47:52.970964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 553782f1-621e-4dc0-9aab-f1cddcae824e · inbound
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients cites this paper.
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients Optimization without Backpropagation
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:59:56.170025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 810a616f-d1f7-4ded-89ba-6af0529e498b · inbound
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered cites this paper.
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered Optimization without Backpropagation
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:23:44.546444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.