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Paper Citation Record · LEDGER

Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.02073.

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

pith.paper-citation-record.v1
2106.02073 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:31:20.601467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:13:14.878832Z

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 26c1cf91-b62d-4b23-b589-904842aaa6ef · inbound

Residual Feature Integration is Sufficient to Prevent Negative Transfer cites this paper.

Residual Feature Integration is Sufficient to Prevent Negative Transfer Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:11:43.836485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T15:10:24.596806Z digest=sha256:ba197a8cd7abfd8b4845c7b85a0e6ca483e93cb1481de1f30cb6db5f8453413e

Observation 1f07f671-682f-432a-9c04-4f42f1180631 · inbound

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations cites this paper.

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:31:20.601467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:20.601467Z digest=sha256:dcb106e3539ae54a7c89c61d33de75e82f82bfddb4afab6b7343db39fbe88534

Observation cc8fc8da-3c02-467b-830e-ab2bb12a2179 · inbound

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension cites this paper.

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:22:33.247615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T10:22:28.096542Z digest=sha256:2ebbf3b17c41c55e2780f0db09250a6606d544c8cdfb0f7281330bd0d8eb494e

Observation 0112894d-9d60-464c-903e-823fb33cdc28 · inbound

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

There Will Be a Scientific Theory of Deep Learning Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 126

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:21:08.832041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-09T20:11:17.616190Z digest=sha256:66499abe8666951606862ef480a507c145905049b3d8c6f31617cb688f391eb1

Observation 46bfb6ef-6cc0-49c4-accd-dd0ec64b3b23 · inbound

MaxSketch: Robust Distinct Counting in Streams via Random Projections cites this paper.

MaxSketch: Robust Distinct Counting in Streams via Random Projections Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:12:44.962466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T20:08:36.821661Z digest=sha256:9b381cbb670935402bfd97fe031570b2c3580abf2b46b3f825ac95a05c132658

Observation 472f3b3a-ef64-4588-a958-6802ef696659 · inbound

Representation Collapse in Sequential Post-Training of Large Language Models cites this paper.

Representation Collapse in Sequential Post-Training of Large Language Models Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:13:14.880543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T08:10:25.375134Z digest=sha256:06955496b54e2a96a296e3ae56bb68f381795151fb9a6345c13868c587397e92