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Paper Citation Record · LEDGER

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.02960.

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

pith.paper-citation-record.v1
2311.02960 v6

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 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:33:38.305619Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:38:16.947469Z

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 5495f630-d2ac-42ce-9efc-885884e1843b · inbound

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective cites this paper.

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:11.677699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:11.677699Z digest=sha256:c2578737e168fdef537b5a7381e101bebc7f89fb2fe31efe7fc5a2c3b403839d

Observation ed2e6243-381c-4482-b988-0fa2f881d8a1 · inbound

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers cites this paper.

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:34.702471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:34.702471Z digest=sha256:87f0035fad1b238348c80a2e277b7fdbf9da3500954722e1105640e5e81267c0

Observation 7b2b8ca9-4316-4e5f-9b91-136fa83c3ac6 · inbound

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization cites this paper.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:33:38.305619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:33:38.305619Z digest=sha256:00acfc391684e9a67d24fe3cac73e08ee89072f2ef106461a0620afb67fefba1

Observation 005ae944-5628-4654-895f-1fbc8d6769ff · inbound

Variational Autoencoder-Based Black-Box Adversarial Attack on Collaborative DNN Inference cites this paper.

Variational Autoencoder-Based Black-Box Adversarial Attack on Collaborative DNN Inference Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-06-24T02:14:19.234382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T00:59:15.226043Z digest=sha256:11ef6fe7172df29b2ccd95f96060557b407f3ad7346b60e14ec7a9150f7b25ac

Observation 0d9228ff-4aef-4f01-a877-5532d425e0ba · inbound

LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models cites this paper.

LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T14:45:28.597601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:45:28.597601Z digest=sha256:bfc8950423e2181765f532db9d9d885a651309147a5dc8b7c22244c368009851

Observation fe304bdf-7e01-4b1a-a6e5-fa504fe2528a · inbound

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation cites this paper.

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-24T02:14:19.234382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T17:29:06.884078Z digest=sha256:dbbff925524ac969bdb5e022d8310e7b2c9eacf28b469706b44560681450ee07

Observation aa667eac-d958-4daf-94cb-ea60e25b6549 · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 141

Resolution
verified exact
arxiv_id, observed 2026-06-24T02:14:19.234382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:311f32791e845c93f5e6768bd955f31651fc448e03afebecf27ea8ca1aaf753b