Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learned feature representations are biased by complexity, learning order, position, and more
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05847.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:43.128817Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T23:51:54.759560Z
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 78959eb6-51bc-439c-82ed-12545f4c11d5 · inbound
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example cites this paper.
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Learned feature representations are biased by complexity, learning order, position, and more
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:51:43.128817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8659691c-0418-469d-afe6-09230344085b · inbound
Task complexity shapes internal representations and robustness in neural networks cites this paper.
Task complexity shapes internal representations and robustness in neural networks Learned feature representations are biased by complexity, learning order, position, and more
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T23:51:54.762554Z
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.