Paper Citation Record · LEDGER

Equivariant Contrastive Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2111.00899.

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

pith.paper-citation-record.v1
2111.00899 v2

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 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:04:31.797523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:37:03.196244Z

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 fb888da3-4c24-4814-aa88-5a20d3aa27fd · inbound

Self-supervised Transformation Learning for Equivariant Representations cites this paper.

Self-supervised Transformation Learning for Equivariant Representations Equivariant Contrastive Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:24:47.279948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e71e2532-15ad-4359-b1a7-416b84e72949 · inbound

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning cites this paper.

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning Equivariant Contrastive Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:04:31.797523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383f6f3a-d939-4f2c-8ecb-83b89be7ecb1 · inbound

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves cites this paper.

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves Equivariant Contrastive Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:19.042046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1258083-d8b0-44ab-906c-9701ea5ffe3c · inbound

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves cites this paper.

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves Equivariant Contrastive Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:59:55.450875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94fd668e-a3b1-40fd-952a-a7d5c091b737 · inbound

Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning cites this paper.

Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning Equivariant Contrastive Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T14:37:03.197846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7e184a6-ca9e-420e-8e6a-3b812564691c · inbound

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough cites this paper.

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough Equivariant Contrastive Learning

Reference 135

Resolution: unresolved; no resolver link, observed 2026-07-14T00:50:24.285797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90aeeab0-5c39-4c1c-8cf6-6219506d0a33 · inbound

NAE: Normalizing AutoEncoder cites this paper.

NAE: Normalizing AutoEncoder Equivariant Contrastive Learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:07.614092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.