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Paper Citation Record · LEDGER

rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data

As of 9 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2508.10147.

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

pith.paper-citation-record.v1
2508.10147 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:44:38.198775Z

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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 320c9255-8543-4a37-8c44-b94a8b61afa1 · outbound

This paper cites Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination.

rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T20:44:38.198775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:44:38.198775Z digest=sha256:6f1c15b1cac3b74df4813811c742cbe60df511b6870717902b9890414d87f97b

Observation 62d26a4c-5b9b-40d6-bf9e-7c3af3f5f463 · outbound

This paper cites Transferability in Deep Learning: A Survey.

rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data Transferability in Deep Learning: A Survey

Reference 3830

Resolution
unresolved
no resolver link, observed 2026-08-05T20:44:38.126034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:44:38.126034Z digest=sha256:9a15811b53473e0a308c37ad6434ed1d3271beaeb08fd51f020e56c867c7a236

Pith citing papers

No inbound Pith citation observations are available.