Paper Citation Record · LEDGER

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.03507.

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

pith.paper-citation-record.v1
2501.03507 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:42.061220Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact1
verified fuzzy13
unresolved15
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1ec0892-3de5-4647-a8fa-c367adb62319 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning A Cookbook of Self-Supervised Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:41.919818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a529d8d3-c95b-4d04-9450-3e88c317121d · outbound

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

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:41.924873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77345c91-fdc4-439a-a1fb-9a0c9976d387 · outbound

This paper cites Bromley, I.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Bromley, I

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.481995Z

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 3b7f089b-bb96-41bb-814b-0ba57a00bd46 · outbound

This paper cites Brown, B.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Brown, B

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.464719Z

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 2efcc658-63c2-4711-83d9-8ad2bd523eac · outbound

This paper cites Caron, I.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Caron, I

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.445801Z

Source-reported events for the cited work

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Observation 9b28bcd2-aaaa-4cd3-b460-fc89eb135d7f · outbound

This paper cites an unresolved cited work.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.431020Z

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 a78533db-8bee-42a7-9f87-878c9aa26562 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.415162Z

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 650c95f6-22bd-4678-b9ae-bfe2218bd6af · outbound

This paper cites Croce and M.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Croce and M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.401577Z

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 0baf10ed-dbe2-486f-af24-d1d8a9d755c5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:41.960718Z

Source-reported events for the cited work

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Observation 35089a3f-1ec3-45f2-bcbd-0058707192b8 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.388079Z

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 d34ffa5d-c8cd-47a3-8bca-597f687b4734 · outbound

This paper cites Ghofrani, M.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Ghofrani, M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.376320Z

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 d10b4194-52a2-4345-971d-c5b9c4cfb9c6 · outbound

This paper cites Gowal, P.-S.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Gowal, P.-S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.363818Z

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 416186b1-e1cc-4f46-9f1b-9f3118ff6359 · outbound

This paper cites Grill, F.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Grill, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.351564Z

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 b6c8bd4b-036b-4191-8706-a3fa33bd5bd5 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.338580Z

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 68d2e860-7c9d-4e22-88ba-dd7815ee4cc8 · outbound

This paper cites Jiang, T.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Jiang, T

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.325121Z

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 b334c98c-faaf-4c0c-9c7c-6f6ea6b0840c · outbound

This paper cites an unresolved cited work.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.309888Z

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 c862a4b8-dc58-4cae-9e34-9ef95b481883 · outbound

This paper cites Krizhevsky, G.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Krizhevsky, G

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:41.994096Z

Source-reported events for the cited work

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Observation c0c77eb3-c7bc-46bc-afa7-4d185fc1e083 · outbound

This paper cites Neural Manifold Clustering and Embedding.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Neural Manifold Clustering and Embedding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:41.998386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6675f8-35c3-4aa1-8f74-069b872b2c95 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:42.002858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0998932-6508-4017-9c02-b5f33ffb9f36 · outbound

This paper cites Moshavash, M.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Moshavash, M

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.289245Z

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 a0a3fb3b-3fe0-480c-9e63-d786556dc65a · outbound

This paper cites Shafahi, M.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Shafahi, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.274787Z

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 ed06a085-90db-43ac-9f57-a1e9c9a23df2 · outbound

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

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning EMP-SSL: Towards Self-Supervised Learning in One Training Epoch

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:42.032122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3be6808-f140-4e6e-a893-5953b09da069 · outbound

This paper cites Adversarial Contrastive Learning by Permuting Cluster Assignments.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Adversarial Contrastive Learning by Permuting Cluster Assignments

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:57:42.104051Z

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 ac10922b-853a-4bf3-8a93-704dfc1ed05d · outbound

This paper cites an unresolved cited work.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.260094Z

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 f3b45201-71d3-4251-a362-78223bbd765b · outbound

This paper cites Zbontar, L.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Zbontar, L

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:42.045153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac07e92-bb26-40f2-a224-79f76b5a689b · outbound

This paper cites Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:42.048734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3c0a49-3436-4ff7-afa2-f41379e7c713 · outbound

This paper cites These methods involve aggregating embeddings from multiple fixed-size patches during evaluation.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning These methods involve aggregating embeddings from multiple fixed-size patches during evaluation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.236362Z

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 c90192ce-9ed3-474f-8ad2-f803372e682e · outbound

This paper cites The results for CIFAR10 and CIFAR100 are shown in Figure 5.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning The results for CIFAR10 and CIFAR100 are shown in Figure 5

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.209136Z

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 d55ed083-5978-434c-b0e9-1425e3083043 · outbound

This paper cites • However, the computational cost increases signifi- cantly, making central cropping more practical for resource-constrained settings.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning • However, the computational cost increases signifi- cantly, making central cropping more practical for resource-constrained settings

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.221665Z

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.

Pith citing papers

No inbound Pith citation observations are available.