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Paper Citation Record · LEDGER

MAGMA: Manifold Regularization for MAEs

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.02871.

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

pith.paper-citation-record.v1
2412.02871 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:05:07.916085Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90bd3bd0-7595-4bde-ae55-e5b6b6e9573b · outbound

This paper cites write newline.

MAGMA: Manifold Regularization for MAEs write newline

Reference 1

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source=arxiv_source observed=2026-08-11T23:05:07.808861Z digest=sha256:77ccf7abdeef7130e3adc294ed70e032a3eb7a3138541b27a98d46b0970f30b4

Observation 7121af3f-0cea-4234-95e8-efbc59260239 · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

MAGMA: Manifold Regularization for MAEs Deep ViT Features as Dense Visual Descriptors

Reference 2

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source=arxiv_source observed=2026-08-11T23:05:07.812734Z digest=sha256:06a3eb3944c231cc73796c0e6743a4efc17be699d53e889c3545048812525e55

Observation 332b0382-9b29-49d3-8c72-077576dcbc54 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

MAGMA: Manifold Regularization for MAEs BEiT: BERT Pre-Training of Image Transformers

Reference 3

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source=arxiv_source observed=2026-08-11T23:05:07.816296Z digest=sha256:75b33cb61edfe78a4614ec28ad57a2b1a8f18f0fa358b6f2c4feb7cec096c629

Observation 7ef3abb0-0527-4ad0-9d01-091496e5065e · outbound

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

MAGMA: Manifold Regularization for MAEs VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 4

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source=arxiv_source observed=2026-08-11T23:05:07.820067Z digest=sha256:6f9aa90f67ae54d8fb9aa056751595ace46da53dd69ad7766c84765385e6a927

Observation 1b8d6e71-e1a0-42b6-9e66-a0550ea76a50 · outbound

This paper cites Manifold regularization: A geometric framework for learning from labeled and unlabeled examples.

MAGMA: Manifold Regularization for MAEs Manifold regularization: A geometric framework for learning from labeled and unlabeled examples

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T23:05:08.189349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.823247Z digest=sha256:83970498fabe185d59b3cb3734fdbd090d05f410d7f97f0d41cdee30417b3b8a

Observation ad912914-5f8b-42c0-b817-38b3f4efed2a · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

MAGMA: Manifold Regularization for MAEs Unsupervised learning of visual features by contrasting cluster assignments

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.826299Z digest=sha256:c1f5ddb408eceb4690d9065f1d0b7046ad16c49ad66e551879650d0b721e8d83

Observation 688406f9-1181-4b33-9ec1-073a835d2cbf · outbound

This paper cites Emerging properties in self-supervised vision transformers.

MAGMA: Manifold Regularization for MAEs Emerging properties in self-supervised vision transformers

Reference 7

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source=arxiv_source observed=2026-08-11T23:05:07.829151Z digest=sha256:e29aa969b1f11c25146f3dc2da20f0c01b63552e34f8b95544161417da7ff293

Observation 44870584-b973-4d5a-b2da-487234ba6c83 · outbound

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

MAGMA: Manifold Regularization for MAEs A simple framework for contrastive learning of visual representations

Reference 8

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source=arxiv_source observed=2026-08-11T23:05:07.832484Z digest=sha256:9e0f8065fba089585639e0a4a835e255f9de728d28dd2ed4a248ee4a32ca7722

Observation 9d22c982-fff0-4039-b479-018fbba1a141 · outbound

This paper cites Masked image modeling advances 3d medical image analysis.

MAGMA: Manifold Regularization for MAEs Masked image modeling advances 3d medical image analysis

Reference 9

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raw_fallback, observed 2026-08-11T23:05:08.164821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.835311Z digest=sha256:b3f5659a2ed16733e9dc376a03f83251fb820bde8c68423a8495f692b3f65657

Observation 5816e9e6-8783-4e37-97cc-111fe6c0c4c3 · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

MAGMA: Manifold Regularization for MAEs An analysis of single-layer networks in unsupervised feature learning

Reference 10

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source=arxiv_source observed=2026-08-11T23:05:07.838301Z digest=sha256:8169f5267d660b9125a3110bb0572763603dad7998d5e110819cab133a3fd603

Observation b296b6b6-2bf9-4f11-8f6a-ae0fb0359614 · outbound

This paper cites A cluster separation measure.

MAGMA: Manifold Regularization for MAEs A cluster separation measure

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.841139Z digest=sha256:d080acdc511ccff18e215b26139dfa8abaac6767a265d4e70654ffea967981ba

Observation 98a55919-7e23-4807-a20a-67f958d3ee07 · outbound

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

MAGMA: Manifold Regularization for MAEs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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source=arxiv_source observed=2026-08-11T23:05:07.844187Z digest=sha256:47c4bb841d17591af9ada98b5c4aa94f41e2ce5a1f3804b2ab7568c7a5dd149e

Observation f8c0f3cb-1f53-4c9e-81e8-bb8b1ff9ff29 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MAGMA: Manifold Regularization for MAEs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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source=arxiv_source observed=2026-08-11T23:05:07.846970Z digest=sha256:796b21facc2bd757afda13a59867537fa3756768673e411236331f7f7e4aa06c

Observation 71bf4213-b552-41fd-b742-6c3ee333afa8 · outbound

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

MAGMA: Manifold Regularization for MAEs Bootstrap your own latent-a new approach to self-supervised learning

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.850024Z digest=sha256:4aa9c720ae404a40d2a0b4c02aef93c94ba9d89a36cfc6e78b374d01a76a523a

Observation 96b76cba-08fc-4896-a00d-e43e3d9fc7c3 · outbound

This paper cites Masked autoencoders are scalable vision learners.

MAGMA: Manifold Regularization for MAEs Masked autoencoders are scalable vision learners

Reference 15

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source=arxiv_source observed=2026-08-11T23:05:07.852757Z digest=sha256:bf3a6d7749b5e315e0114b79f37cbc4a2bd542eeeb140925f70c56edd09571d6

Observation fb776440-de77-4ce1-9e7c-ec4bd9436ddb · outbound

This paper cites Robust object tracking using manifold regularized convolutional neural networks.

MAGMA: Manifold Regularization for MAEs Robust object tracking using manifold regularized convolutional neural networks

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T23:05:08.134240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.855376Z digest=sha256:9dc1e7ce304c83e2f74406cb9c5da91e68d93f0c058cf62524aa5ad2722ae5f8

Observation 42af7208-e282-4deb-ad70-99173ac482ef · outbound

This paper cites Manifold regularized multitask feature learning for multimodality disease classification.

MAGMA: Manifold Regularization for MAEs Manifold regularized multitask feature learning for multimodality disease classification

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.857556Z digest=sha256:20cf6966cd8b7c2eb640b4e75c1a807b2016e1235cd1dc1df8afbff8b40aebef

Observation 835207da-c1b7-4108-8c61-5b22e886a4d9 · outbound

This paper cites Manifold Regularization for Locally Stable Deep Neural Networks.

MAGMA: Manifold Regularization for MAEs Manifold Regularization for Locally Stable Deep Neural Networks

Reference 18

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Observation 14bcfc48-07ac-42cb-b166-988cca2768d7 · outbound

This paper cites A Mutual Information Maximization Perspective of Language Representation Learning.

MAGMA: Manifold Regularization for MAEs A Mutual Information Maximization Perspective of Language Representation Learning

Reference 19

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source=arxiv_source observed=2026-08-11T23:05:07.862310Z digest=sha256:a8c5846e511763a8af9202079943a0b8bf04db58f7b476dee2c60eef6bffd424

Observation 007747ca-930b-4ccf-8921-a3e4ee5c2d09 · outbound

This paper cites Learning multiple layers of features from tiny images.

MAGMA: Manifold Regularization for MAEs Learning multiple layers of features from tiny images

Reference 20

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source=arxiv_source observed=2026-08-11T23:05:07.865105Z digest=sha256:f05da9328125cd636c5acaf60249b029daebc6a5d492bd20797b971d00dcbbf1

Observation 8fcb23d6-bcb4-4fd4-b9f5-cb574555afaf · outbound

This paper cites Tiny imagenet visual recognition challenge.

MAGMA: Manifold Regularization for MAEs Tiny imagenet visual recognition challenge

Reference 21

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source=arxiv_source observed=2026-08-11T23:05:07.867280Z digest=sha256:26074568ced2765f105c1b4d97807aea2cfe1f718fa77b11e112232a74573603

Observation 910fcacf-6cb0-4ee0-a8c5-e55a5b108969 · outbound

This paper cites Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget.

MAGMA: Manifold Regularization for MAEs Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget

Reference 22

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source=arxiv_source observed=2026-08-11T23:05:07.869464Z digest=sha256:8547f35c4da97e7eb938755e7710ae8fd44e97e43b6d9f79b1f6dd4f3f0d4367

Observation 83ecf8f5-a4ff-484f-9a28-7e94a928ddb3 · outbound

This paper cites Topic extraction from extremely short texts with variational manifold regularization.

MAGMA: Manifold Regularization for MAEs Topic extraction from extremely short texts with variational manifold regularization

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.872345Z digest=sha256:0da5f65b9d6874a4962f70e00a50435e063ee1663614fa67c648400069ce057c

Observation fb619b2d-90ea-41e2-8515-0cb2c9412a6f · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

MAGMA: Manifold Regularization for MAEs UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 24

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source=arxiv_source observed=2026-08-11T23:05:07.874897Z digest=sha256:020c1b35d98ee300b3633d2f810549c47026fad91880b83d660b394414296536

Observation d6f2ee00-dbd5-493a-ae0e-89e01d77659e · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

MAGMA: Manifold Regularization for MAEs Masked autoencoders for point cloud self-supervised learning

Reference 25

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raw_fallback, observed 2026-08-11T23:05:08.102786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.878706Z digest=sha256:12d7510352542b4cd9fdf695aae6ffcf7863b89edd863f450b5540134571c2b6

Observation a3fcc2a5-8643-4444-854a-84a3a0c0dff1 · outbound

This paper cites Embedding propagation: Smoother manifold for few-shot classification.

MAGMA: Manifold Regularization for MAEs Embedding propagation: Smoother manifold for few-shot classification

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.881259Z digest=sha256:568c68797d01795d619985f2b3f873f027eb84291f1e2aecf8a6d66e378379fd

Observation c6f9059d-dbb7-48c5-a82b-79f72196ba27 · outbound

This paper cites SpectralNet: Spectral Clustering using Deep Neural Networks.

MAGMA: Manifold Regularization for MAEs SpectralNet: Spectral Clustering using Deep Neural Networks

Reference 27

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source=arxiv_source observed=2026-08-11T23:05:07.883796Z digest=sha256:c109ea37ddc962538617712aadcb13ee4facaab5d112b48c749a3a5415cb0fe2

Observation 87229e89-d36c-4cac-9581-f84bc6fba5df · outbound

This paper cites Contrastive multiview coding.

MAGMA: Manifold Regularization for MAEs Contrastive multiview coding

Reference 28

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source=arxiv_source observed=2026-08-11T23:05:07.886728Z digest=sha256:e95acc3c0f03852c52d9b1f30b4a5c6092af2323b487e11dcb6340a231681721

Observation c9237927-557f-45d7-bc95-5827ee732bae · outbound

This paper cites Manifold regularized deep neural networks.

MAGMA: Manifold Regularization for MAEs Manifold regularized deep neural networks

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.889272Z digest=sha256:3155450d134795fab7e6563ad264eeaabcb36a8cf0e5a4f11a2065987306545d

Observation afd0b8f6-5851-4b96-8201-b22a796bfa8e · outbound

This paper cites Graph based manifold regularized deep neural networks for automatic speech recognition.

MAGMA: Manifold Regularization for MAEs Graph based manifold regularized deep neural networks for automatic speech recognition

Reference 30

Resolution
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local_arxiv, observed 2026-08-11T23:05:07.956786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.891941Z digest=sha256:086158aab3ceb54fb1f9a42efc08ee2458054058db9927a4ca33f5e25c8dc592

Observation 6860dc8c-d217-4267-b157-d89697d71494 · outbound

This paper cites Visualizing data using t-sne.

MAGMA: Manifold Regularization for MAEs Visualizing data using t-sne

Reference 31

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source=arxiv_source observed=2026-08-11T23:05:07.894844Z digest=sha256:964e5b1cf7f0f49c7aa80f81de04799be004c4a2d943835dac20510c7954be0e

Observation 343337e4-ab32-4b90-8be5-13f8b27b0a99 · outbound

This paper cites Understanding how dimension reduction tools work: an empirical approach to deciphering t-sne, umap, trimap, and pacmap for data visualization.

MAGMA: Manifold Regularization for MAEs Understanding how dimension reduction tools work: an empirical approach to deciphering t-sne, umap, trimap, and pacmap for data visualization

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:05:08.070385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.897405Z digest=sha256:0d121f51ac09c2a9326d0736977aa639df5c0e995f8339220d8bee043c0a6102

Observation 272f51d6-d635-4469-bbbc-fa9ca77e2aa8 · outbound

This paper cites Simmim: A simple framework for masked image modeling.

MAGMA: Manifold Regularization for MAEs Simmim: A simple framework for masked image modeling

Reference 33

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raw_fallback, observed 2026-08-11T23:05:08.061799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.900054Z digest=sha256:0d98c5be53136f588e3b82370393a23d0ceb23320fe6cb7617aff66d388408cf

Observation ba480f1b-d941-468d-9c33-0cb9dfbfb50b · outbound

This paper cites Refining word reesprentations by manifold learning.

MAGMA: Manifold Regularization for MAEs Refining word reesprentations by manifold learning

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-11T23:05:08.053384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.902594Z digest=sha256:6cfcd3b6c7ed3ea95be0d7c2db3f71b8dfe6891219f7800b4168df61a1b1cf39

Observation f016c514-04c4-41be-98df-54ece2c4d341 · outbound

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

MAGMA: Manifold Regularization for MAEs Barlow twins: Self-supervised learning via redundancy reduction

Reference 35

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raw_fallback, observed 2026-08-11T23:05:08.045277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.905176Z digest=sha256:764a2dac4580d500e504ea7104bffe91ff2209d9af18528683b5c56168dca781

Observation fdba0de3-95ca-4076-9a8f-a3d06b0559f8 · outbound

This paper cites How mask matters: Towards theoretical understandings of masked autoencoders.

MAGMA: Manifold Regularization for MAEs How mask matters: Towards theoretical understandings of masked autoencoders

Reference 36

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raw_fallback, observed 2026-08-11T23:05:08.037155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.907875Z digest=sha256:f41a4bdaecbd41b9721b6782c92dae34362476a42ee5de75ac25cbd4393f5bef

Observation e3f6f479-7f64-4eb4-82eb-53aaf455d1da · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

MAGMA: Manifold Regularization for MAEs iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 37

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T23:05:07.910404Z digest=sha256:767dccbf1cb2e7e1de4dbc140c491ea604b6f533e9a5ee14d04e22e83127f929

Observation b92ce009-f045-4bd6-ac6e-3aaabf24c8ca · outbound

This paper cites Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation.

MAGMA: Manifold Regularization for MAEs Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T23:05:07.913206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:05:07.913206Z digest=sha256:6f9f5d73083a76854f6d59f45eba9c6412bdba3fe45a83907b56e7c6715dfa63

Observation e890bf2c-2b5c-4e79-86c6-c1ada292bfd2 · outbound

This paper cites solo-learn: A library of self-supervised methods for visual representation learning.

MAGMA: Manifold Regularization for MAEs solo-learn: A library of self-supervised methods for visual representation learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:05:08.029560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T23:05:07.916085Z digest=sha256:bab230ae2d8bf2b2a19a43d7e497aad1667377914b59f9314f5b14830a71f2ea

Pith citing papers

No inbound Pith citation observations are available.