Paper Citation Record · LEDGER

Matrix Information Theory for Self-Supervised Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.17326.

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

pith.paper-citation-record.v1
2305.17326 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:20:11.101489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.108835Z

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 636d57d5-69f4-4abd-89a0-908b7b8a2cbd · inbound

Scaling Image Tokenizers with Grouped Spherical Quantization cites this paper.

Scaling Image Tokenizers with Grouped Spherical Quantization Matrix Information Theory for Self-Supervised Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T23:20:11.101489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb70db2d-0258-46d6-9fcd-80ded6cba662 · inbound

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics cites this paper.

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics Matrix Information Theory for Self-Supervised Learning

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:23:00.072658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abe5a3c6-082e-46cf-a983-10ed831e137a · inbound

MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization cites this paper.

MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization Matrix Information Theory for Self-Supervised Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:26:04.531356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 531d5a3a-383a-4aef-a6dd-21b94847b0ba · inbound

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets cites this paper.

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets Matrix Information Theory for Self-Supervised Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:16.461289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc8555fe-68e1-4c51-9784-dcc7cc7d9f3c · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Matrix Information Theory for Self-Supervised Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.110998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b23ffe93-abca-4cd6-9188-cea376dfda8c · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Matrix Information Theory for Self-Supervised Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.590237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.