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Paper Citation Record · LEDGER

Equivariant Contrastive Learning

As of 17 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 2026-08-16T06:30:59.297886+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.

source=pdf_text observed=2026-08-10T20:24:47.279948Z digest=sha256:642d521dc7203eb22e2d0c5e84ef257db6002d4e8ff65899a6e24cf6dcf5c4f9

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.

source=pdf_text observed=2026-08-16T12:04:31.797523Z digest=sha256:c46607551e21c404b14af0b8bc165cd9eeb18c4362dd8c25ba5be828e056b071

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T12:51:29.926471Z digest=sha256:e489a40580b420328c8c319cd5c4c1df1580754723d90170dcba99e421f242a9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T08:57:04.570689Z digest=sha256:4d374c69d40fd9d8ebdf72e28e207ccf5d079739dcfe83b11a3976289690c1e3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-02T14:28:10.184505Z digest=sha256:c7dab771c39a74c419b8692f0492afdca1bcd2114c0590d0de20fd972d88287f

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.

source=arxiv_source observed=2026-07-14T00:50:24.285797Z digest=sha256:ca5840ab974e4c0c74986f1cb722f97382df350167d3131f94cd3dc95f11a195

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.

source=arxiv_source observed=2026-08-16T00:22:07.614092Z digest=sha256:5eeea61c8d08794ceee53144471e6f2c8d17e04f1485898572ad4f096b62f03b