Paper Citation Record · LEDGER

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.15931.

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

pith.paper-citation-record.v1
2411.15931 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:49:25.803786Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy3
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 132023f8-4370-4e9f-9bff-2a801212f943 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.760735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b27a28c-0f6c-4026-8603-9636d5c87a29 · outbound

This paper cites an unresolved cited work.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:49:25.892745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f59b4268-68ce-4712-80c0-04f0fca3cec1 · outbound

This paper cites an unresolved cited work.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:49:25.920313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation acb29ea9-6d87-41f8-9440-59712b64dd90 · outbound

This paper cites Self-supervised learning with rotation-invariant kernels.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Self-supervised learning with rotation-invariant kernels

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.785312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d95287-08ad-4e73-a24e-2fdc364a1ee9 · outbound

This paper cites For SimSiam, the semi-supervised experiments were not conducted in the original paper, and therefore we skip this in our experiments.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization For SimSiam, the semi-supervised experiments were not conducted in the original paper, and therefore we skip this in our experiments

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:49:25.910901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4e21e06-317a-4f46-96df-f0e75d8b5f4b · outbound

This paper cites an unresolved cited work.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:49:25.900798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da8c0acf-74cf-40a6-83c5-29f21457168e · outbound

This paper cites an unresolved cited work.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:49:25.929765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d842627-b9d5-4095-97a8-2df1778f5b40 · outbound

This paper cites Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations

Reference 1947

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.767166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99831a16-b25d-42b8-9e72-d9da02418bc2 · outbound

This paper cites Spreading vectors for similarity search.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Spreading vectors for similarity search

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.772954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e86073d-adf6-4d3b-b5dc-8dcc5390b890 · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Learning deep representations by mutual information estimation and maximization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.764242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc6974b-60e1-4f21-a90e-c15236a99f44 · outbound

This paper cites Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.775674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1a7a9b-c2a5-431f-bef7-8e8cca6ae7a0 · outbound

This paper cites For continued pretraining, our criterion is applied to the projector embeddingsZ before the cluster assignment layer and before normalization after mapping through the CDF function.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization For continued pretraining, our criterion is applied to the projector embeddingsZ before the cluster assignment layer and before normalization after mapping through the CDF function

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:49:25.939811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ff25881-dcfd-4499-8b45-cbd8aeadd02d · outbound

This paper cites A new class of entropy estimators for multi-dimensional densities.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization A new class of entropy estimators for multi-dimensional densities

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:49:25.949263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b68e99e9-f2cb-4863-87b4-e8f260aae541 · outbound

This paper cites EMP-SSL: Towards Self-Supervised Learning in One Training Epoch.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization EMP-SSL: Towards Self-Supervised Learning in One Training Epoch

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.782273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9718f461-1107-43fc-a41a-6887a0ce423a · outbound

This paper cites An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization.

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T13:49:25.778923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.