Paper Citation Record · LEDGER

Formation of Representations in Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.03006.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.03006 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:09:27.909608Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T15:21:08.671677Z

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 723bf2ac-abdc-4149-a33a-76919f2e4f5d · inbound

Self-Assembly of a Biologically Plausible Learning Circuit cites this paper.

Self-Assembly of a Biologically Plausible Learning Circuit Formation of Representations in Neural Networks

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-10T23:46:41.175879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c817d16-7a36-41ee-a88b-3763e56f5fde · inbound

Heterosynaptic Circuits Are Universal Gradient Machines cites this paper.

Heterosynaptic Circuits Are Universal Gradient Machines Formation of Representations in Neural Networks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T01:09:27.909608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c996c7f6-6463-4119-8b69-408e587bc126 · inbound

Ubiquity of Emergent Hebbian Dynamics in Regularized Learning cites this paper.

Ubiquity of Emergent Hebbian Dynamics in Regularized Learning Formation of Representations in Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:12.842282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c60abc9-8c1f-48e5-9e2b-2583e12265a3 · inbound

Grounding Functional Similarity by Invariance-Aware Model Stitching cites this paper.

Grounding Functional Similarity by Invariance-Aware Model Stitching Formation of Representations in Neural Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:56.160836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d45b4ce-4893-4b25-a1a8-ba016abeca74 · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Formation of Representations in Neural Networks

Reference 187

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:08.688486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.