Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:58:17.476379Z
Paper Citation Record · LEDGER
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks
As of 19 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2412.00884.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
7 of 7 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 637b4c0c-0914-4bf3-a7ac-d7751793f8d6 · outbound
This paper cites Understanding intermediate layers using linear classifier probes.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks Understanding intermediate layers using linear classifier probes
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:58:17.579708Z
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.
Observation d3d099fb-35d7-462c-8b13-a0a606904a56 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:58:17.566574Z
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.
Observation 9a6f1124-cdda-4db5-b28d-a4d2e0082588 · outbound
This paper cites On the Implicit Bias Towards Minimal Depth of Deep Neural Networks.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks On the Implicit Bias Towards Minimal Depth of Deep Neural Networks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:58:17.457623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3df788c0-81dc-4ea0-94ae-8218d5607b4d · outbound
This paper cites Prevalenceofneuralcollapseduring the terminal phase of deep learning training.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks Prevalenceofneuralcollapseduring the terminal phase of deep learning training
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:58:17.462144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07be996f-545d-4f9c-830e-769484f8c2ec · outbound
This paper cites Attention is all you need.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks Attention is all you need
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:58:17.553483Z
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.
Observation f9466ab6-b8fa-4b7c-9a23-e56b2bf810fc · outbound
This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:58:17.471009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd7253a3-5948-4127-8b2c-51f0dc842dd9 · outbound
This paper cites A Geometric Analysis of Neural Collapse with Unconstrained Features.
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks A Geometric Analysis of Neural Collapse with Unconstrained Features
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:58:17.541208Z
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.
Pith citing papers
No inbound Pith citation observations are available.