Paper Citation Record · LEDGER

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2505.22196.

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

pith.paper-citation-record.v1
2505.22196 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:31.359799Z

measured 34 of 34 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:45:15.226889Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy27
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 45786dde-da0d-4c80-8e27-b797d69ce996 · outbound

This paper cites Sequence-to-sequence contrastive learning for text recognition.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Sequence-to-sequence contrastive learning for text recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:37.670007Z

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.

Observation 5eb19315-3718-4b44-8330-303c7181b466 · outbound

This paper cites A theoretical analysis of contrastive unsupervised representation learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning A theoretical analysis of contrastive unsupervised representation learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:37.499264Z

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.

Observation 9ecdf7de-b26b-4002-82e0-9e4014a6f215 · outbound

This paper cites Investigating the role of negatives in contrastive representation learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Investigating the role of negatives in contrastive representation learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:37.312262Z

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.

Observation 123180e0-76e6-4ea1-8b39-f922d1193d39 · outbound

This paper cites On the surrogate gap between contrastive and supervised losses.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning On the surrogate gap between contrastive and supervised losses

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:37.090646Z

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.

Observation 897ec1cf-a322-4c50-aa14-15ef7c941525 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning A simple framework for contrastive learning of visual representations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:36.826984Z

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.

Observation 3be03ea8-ef1f-4dc4-8660-ff248a8bc67a · outbound

This paper cites and He, K.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning and He, K

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:36.529232Z

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.

Observation 2ed5a104-2161-4e24-a44c-4707d45ad093 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Improved Baselines with Momentum Contrastive Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:28.955433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ce9b05-cb7c-4620-98da-8e97e7d10f55 · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning An Empirical Study of Training Self-Supervised Vision Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:29.010114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993a5f03-017d-49cd-8397-1cfba386f72e · outbound

This paper cites Rethinking weak supervision in helping contrastive learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Rethinking weak supervision in helping contrastive learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:36.290917Z

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.

Observation 14dadc3c-1838-448f-a6d0-adaa56763719 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:35.984271Z

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.

Observation 81754024-b576-4d02-bc88-e0161d023fbb · outbound

This paper cites Z., Wei, C., Gaidon, A., and Ma, T.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Z., Wei, C., Gaidon, A., and Ma, T

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:35.696949Z

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.

Observation c2c7da39-ae90-46d2-910c-b361206f88ab · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Momentum contrast for unsupervised visual representation learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:35.467038Z

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.

Observation 19269d16-467f-4c89-aec9-72442506dda6 · outbound

This paper cites Your contrastive learning is secretly doing stochastic neighbor embedding.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Your contrastive learning is secretly doing stochastic neighbor embedding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:35.244139Z

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.

Observation 857874ea-cf7d-4171-b416-1cda33323197 · outbound

This paper cites Towards the generalization of contrastive self-supervised learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Towards the generalization of contrastive self-supervised learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:35.070223Z

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.

Observation 2d109d02-1851-41e4-9a1b-642765b340d6 · outbound

This paper cites Contrastive self-supervised learning for sensor-based human activity recognition.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Contrastive self-supervised learning for sensor-based human activity recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:34.736872Z

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.

Observation 41b1fb82-9c37-4983-b88c-e572b0b2b86b · outbound

This paper cites Revisiting contrastive learning through the lens of neighborhood component analysis: an integrated framework.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Revisiting contrastive learning through the lens of neighborhood component analysis: an integrated framework

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:34.390717Z

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.

Observation 03e23a4e-459e-4311-840f-0852b0025e84 · outbound

This paper cites an unresolved cited work.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:34.171353Z

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.

Observation fbcf334b-cd90-459c-936a-d55c92d17043 · outbound

This paper cites Learning to discriminate information for online action detection: Analysis and application.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Learning to discriminate information for online action detection: Analysis and application

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:34.019984Z

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.

Observation 85b4fd1a-c54a-44db-ba2e-9c91048ada72 · outbound

This paper cites Generalization analysis for contrastive representation learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Generalization analysis for contrastive representation learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:33.765372Z

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.

Observation eaa0a6ce-2e89-46fd-a079-3b5231a1e243 · outbound

This paper cites and Sato, I.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning and Sato, I

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:33.455683Z

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.

Observation 38eb7699-db93-43ae-9ccf-3802bcaf1638 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:30.235326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8b098c-5b3a-4785-a106-2bf9e8a06b94 · outbound

This paper cites M., Kumar, A., Xie, S.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning M., Kumar, A., Xie, S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:33.241793Z

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.

Observation 5ee6c7a0-a09b-422c-a6e4-bf5d39402e0f · outbound

This paper cites What makes for good views for contrastive learning? NeurIPS, 2020.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning What makes for good views for contrastive learning? NeurIPS, 2020

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:33.016749Z

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.

Observation d943a861-4342-4169-a9b4-f4e4d076b442 · outbound

This paper cites and Isola, P.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning and Isola, P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:32.774584Z

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.

Observation 91b3a973-cb6f-495a-b343-88f55037d3fc · outbound

This paper cites Chaos is a ladder: A new theoretical understanding of contrastive learning via augmentation overlap.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Chaos is a ladder: A new theoretical understanding of contrastive learning via augmentation overlap

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:32.544120Z

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.

Observation da9d1ed6-b2a7-4172-9a76-25db9486d58f · outbound

This paper cites A message passing perspective on learning dynamics of contrastive learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning A message passing perspective on learning dynamics of contrastive learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:32.368746Z

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.

Observation c0708678-7ce8-470f-bc8f-c4eac72555c5 · outbound

This paper cites Non-negative contrastive learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Non-negative contrastive learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:32.222329Z

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.

Observation ee28b26a-9b9c-47aa-8a2c-ae34878863cd · outbound

This paper cites Understanding contrastive learning via distributionally robust optimization.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Understanding contrastive learning via distributionally robust optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:32.060331Z

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.

Observation 0a023761-4a6e-4050-8fdf-d0142459ba95 · outbound

This paper cites On Mutual Information in Contrastive Learning for Visual Representations.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning On Mutual Information in Contrastive Learning for Visual Representations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:31.023848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab58dee8-964c-4c2c-8079-515cbd381341 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Barlow twins: Self-supervised learning via redundancy reduction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:31.912585Z

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.

Observation f5e861d2-d5df-4895-b352-fbb1cf5c9b4f · outbound

This paper cites On the generalization of multi-modal contrastive learning.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning On the generalization of multi-modal contrastive learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:31.779388Z

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.

Observation 733efd09-71be-40be-90a6-5b553ecbb1c2 · outbound

This paper cites S., Sharma, Y., Schneider, S., Bethge, M., and Brendel, W.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning S., Sharma, Y., Schneider, S., Bethge, M., and Brendel, W

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:31.556297Z

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.

Observation 3948297a-aef1-465e-a0f8-45e1c2cdf41f · outbound

This paper cites write newline.

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning write newline

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:31.359799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f49a82f4-669c-4472-a356-e8599372902e · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery An Augmentation-Aware Theory for Self-Supervised Contrastive Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-26T20:49:57.348562Z

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.