Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.01729.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:38:02.384989Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:46:14.112763Z
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 9f965cab-9ff9-4d24-82d4-475a8ca7a3c7 · inbound
OscNet: Machine Learning on CMOS Oscillator Networks cites this paper.
OscNet: Machine Learning on CMOS Oscillator Networks Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:38:02.384989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 431bbae3-b9cb-4c1c-900d-8810e790c981 · inbound
HCL-FF: Hierarchical and Contrastive Learning for Forward-Forward Algorithm cites this paper.
HCL-FF: Hierarchical and Contrastive Learning for Forward-Forward Algorithm Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:44:39.459897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8897e99-fc5e-4603-891c-6a50c74bda36 · inbound
Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial cites this paper.
Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:46:14.114200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2331e42c-029d-48d7-8652-fd003d0c75bb · inbound
Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces cites this paper.
Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T04:18:21.856954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f2f2c42-446d-41c1-bb34-4481b9365c63 · inbound
Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints cites this paper.
Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:39:36.830873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.