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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:13.067969Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T15:10:24.596806Z digest=sha256:b4aba5314580a382e2412491b79750f8169571d67d0fcfdfb9d13c815ac804b7

Observation 14a18b98-7d90-45c0-b098-676aa237be67 · inbound

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization cites this paper.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:13.067969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:13.067969Z digest=sha256:d6f9eccb4cb793a981b6da3864419269ccead78993059039f4110b99c46489f5

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=sha256:183c6a7040c72488098a222a52a781833ed7b717d16d16fd795b72ad74101fc6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:22:28.096542Z digest=sha256:34ef11dd34237449479902de491812f28fc853889ee78b183dd54b5d7de66510

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T20:11:17.616190Z digest=sha256:1c31f24617c474d02c26bfce40b0d4d6170f9fc0476180ef45f865e9b5c507c8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T20:08:36.821661Z digest=sha256:c708d92842847874a291b06d529b663ff452410440b9de8572cc855f5ad7a902

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:10:25.375134Z digest=sha256:1e1fba32f5c45c9ac7a23224b83765ebaa63a90bb16e54c39197302ede740cc2