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Paper Citation Record · LEDGER

When Representations Align: Universality in Representation Learning Dynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.09142.

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

pith.paper-citation-record.v1
2402.09142 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:32:28.437384Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:32:28.647503Z

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 28f5f9e1-157c-488c-8498-20c57ad13a22 · inbound

Disentangling the Factors of Convergence between Brains and Computer Vision Models cites this paper.

Disentangling the Factors of Convergence between Brains and Computer Vision Models When Representations Align: Universality in Representation Learning Dynamics

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:32:28.650305Z

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.

source=arxiv_source observed=2026-08-05T16:32:28.437384Z digest=sha256:a1efbb698a0c92c9705e81e5a26a5da6833566f3b9889fcd768d93c196d48e99

Observation 76828688-55ef-49d7-92af-d3c3f7879eee · inbound

The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold cites this paper.

The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold When Representations Align: Universality in Representation Learning Dynamics

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T00:32:01.699314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:32:01.699314Z digest=sha256:76643c40987986bafb181bb895e356aabcdfc05380d5e04408b111587365e834