Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gradients as Features for Deep Representation Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2004.05529.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:45.909803Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:01:24.358741Z
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 52b19520-aa0b-48ef-a54b-7bf1f4ceb81b · inbound
Maximally-Informative Retrieval for State Space Model Generation cites this paper.
Maximally-Informative Retrieval for State Space Model Generation Gradients as Features for Deep Representation Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:03:45.909803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f37f0c31-aff7-4d19-afbb-89b059adf224 · inbound
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention cites this paper.
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention Gradients as Features for Deep Representation Learning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:02:28.609920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06d08cf3-ac65-4731-b12a-6d877d144433 · inbound
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks cites this paper.
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks Gradients as Features for Deep Representation Learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:01:24.360890Z
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.