Paper Citation Record · LEDGER

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition

As of 24 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2412.00134.

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

pith.paper-citation-record.v1
2412.00134 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:28:38.613559Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:24:00.607938Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:24:00.766772Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy40
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30083da7-dcaf-449b-8d45-1d25da773908 · outbound

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

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 1

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Observation d3d3634d-6fcc-47b7-97c6-ad1136412ff9 · outbound

This paper cites Bird- snap: Large-scale fine-grained visual categorization of birds.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Bird- snap: Large-scale fine-grained visual categorization of birds

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.369985Z

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Observation 340322d6-55fc-4e49-9e43-a8ea35b8e9d7 · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Deep clustering for unsupervised learning of visual features

Reference 3

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Observation 69d66f43-1173-4751-9406-7aeaf5797d8a · outbound

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

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Unsupervised learning of visual features by contrasting cluster assignments

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.342795Z

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Observation b373a7f5-4055-4026-a6ed-1abb6366f82d · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Emerg- ing properties in self-supervised vision transformers

Reference 5

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Observation 3612ac3a-4402-4dad-add0-6134736cd0b5 · outbound

This paper cites Deep adaptive image cluster- ing.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Deep adaptive image cluster- ing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.292237Z

Source-reported events for the cited work

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Observation 46f4fff8-065a-47ad-ace4-5a56611c443b · outbound

This paper cites Fine-grained representation learning and recognition by exploiting hierarchical semantic embed- ding.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Fine-grained representation learning and recognition by exploiting hierarchical semantic embed- ding

Reference 7

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Observation 6cee4397-3368-45c9-8f54-806afaf40250 · outbound

This paper cites A simple framework for contrastive learn- ing of visual representations.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition A simple framework for contrastive learn- ing of visual representations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.161356Z

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Observation 724a6096-6894-4b95-bed8-012ef9072af8 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Exploring simple siamese rep- resentation learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.082091Z

Source-reported events for the cited work

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Observation 4152b58d-96ba-4365-86e1-ffd63e5fa179 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Improved Baselines with Momentum Contrastive Learning

Reference 10

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Observation 99da16d9-f4be-495e-bf99-2d5d4ef7916e · outbound

This paper cites When does contrastive visual representation learning work? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14755–14764, 2022.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition When does contrastive visual representation learning work? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14755–14764, 2022

Reference 11

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Observation 343b0189-98cc-416b-b4d8-f44386c05ad4 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Imagenet: A large-scale hierarchical image database

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.058453Z

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Observation bfa70e95-72be-43f8-9760-6c05dfe85429 · outbound

This paper cites Insclr: Improving instance retrieval with self-supervision.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Insclr: Improving instance retrieval with self-supervision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.047776Z

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Observation 97214dbe-42c9-4b7a-838a-68ea0ee2db97 · outbound

This paper cites Unsuper- vised visual representation learning by context prediction.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Unsuper- vised visual representation learning by context prediction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:40.021033Z

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Observation 421dcff4-e3cb-49f2-8cd7-78c9fce4f993 · outbound

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

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Bootstrap your own latent-a new approach to self-supervised learning

Reference 16

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Observation f7a9c5c1-5cfa-4ed0-b905-295a74370228 · outbound

This paper cites Deep embedded clustering with data augmentation.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Deep embedded clustering with data augmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.992559Z

Source-reported events for the cited work

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Observation 9612026e-3543-4f67-a54a-59a2aa2840e6 · outbound

This paper cites Dimension- ality reduction by learning an invariant mapping.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Dimension- ality reduction by learning an invariant mapping

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.978521Z

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Observation 7a2ae3a5-cf0a-4e16-a990-7b3800e77906 · outbound

This paper cites Deep residual learning for image recognition.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Deep residual learning for image recognition

Reference 19

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Observation 631f1c38-4813-40ed-a00b-5a2e5319708c · outbound

This paper cites Mocov1: Momentum contrast for unsupervised visual representation learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Mocov1: Momentum contrast for unsupervised visual representation learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.778962Z

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Observation a7daf804-50c7-41f3-bfd7-a2d81467a025 · outbound

This paper cites Masked autoencoders are scalable vision learners.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Masked autoencoders are scalable vision learners

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.688675Z

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Observation b5640f05-3d1a-4347-9447-3c8a2756633f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Distilling the Knowledge in a Neural Network

Reference 22

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Observation 2dabd761-1cc2-4e63-bf28-cd0c5bdcd9e0 · outbound

This paper cites Learning where to learn in cross-view self-supervised learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Learning where to learn in cross-view self-supervised learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.675724Z

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Observation c9bcf1f8-e76e-4598-8e4d-8f1be1bc712c · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 24

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Observation f07f5d5b-6a4a-4d60-9074-84d62f351aed · outbound

This paper cites A survey on contrastive self-supervised learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition A survey on contrastive self-supervised learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.656091Z

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Observation b4181c6d-db08-4424-9b8c-85fc2af22aef · outbound

This paper cites Novel dataset for fine-grained image categorization: Stanford dogs.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Novel dataset for fine-grained image categorization: Stanford dogs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.645191Z

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Observation b06d957b-49ae-4698-80da-281d4734e4f7 · outbound

This paper cites Core- set sampling from open-set for fine-grained self-supervised learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Core- set sampling from open-set for fine-grained self-supervised learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.633038Z

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Observation c845fa9e-10fc-43a8-aee6-442177a8f3b9 · outbound

This paper cites 3d object representations for fine-grained categorization.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition 3d object representations for fine-grained categorization

Reference 28

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Observation d9db2de2-b7f8-4c5f-9102-9beb792bbaa7 · outbound

This paper cites On information and sufficiency.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition On information and sufficiency

Reference 29

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Observation 79ab1329-4e74-47c4-a058-4bd25c302a7d · outbound

This paper cites Un- derstanding collapse in non-contrastive siamese representa- tion learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Un- derstanding collapse in non-contrastive siamese representa- tion learning

Reference 30

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Observation f1cee612-b349-4723-82f6-bd12b5e4573e · outbound

This paper cites Self-supervised learning: Generative or contrastive.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Self-supervised learning: Generative or contrastive

Reference 31

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Observation 4672cf53-adcc-4ff6-864a-833e67291918 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Fine-Grained Visual Classification of Aircraft

Reference 32

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Observation 70c37ed2-1d2a-433b-9d7b-84638d4cb16a · outbound

This paper cites Automated flower classification over a large number of classes.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Automated flower classification over a large number of classes

Reference 33

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Observation 7644b898-f4b2-49b0-b40b-05e286ca628d · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 34

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Observation 7a3dc86d-426b-4eac-be56-2212e8c388ee · outbound

This paper cites Crafting better contrastive views for siamese rep- resentation learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Crafting better contrastive views for siamese rep- resentation learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.249833Z

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Observation 63df3069-4ddd-4776-9e2c-48d4be3ef48b · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Learn- ing transferable visual models from natural language super- vision

Reference 36

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Observation 22c42849-7e2b-4ae4-aaac-848a23c4b446 · outbound

This paper cites Imagenet large scale visual recognition challenge.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Imagenet large scale visual recognition challenge

Reference 37

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Observation 5bfc6f05-3afa-4d2d-953e-ba09d7bb94e4 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based local- ization.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Grad-cam: Visual explanations from deep networks via gradient-based local- ization

Reference 38

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Observation 13a69065-c09a-4ec8-87a0-f577fcdafd4d · outbound

This paper cites Casting your model: Learning to localize im- proves self-supervised representations.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Casting your model: Learning to localize im- proves self-supervised representations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.122532Z

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Observation 2b25ce5f-9496-4b4a-899b-b57aed7d2f68 · outbound

This paper cites Improving fine-grained visual recognition in low data regimes via self-boosting attention mechanism.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Improving fine-grained visual recognition in low data regimes via self-boosting attention mechanism

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.039786Z

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Observation d6355774-4cd9-44cd-b349-732f2a76042b · outbound

This paper cites Learning common rationale to improve self-supervised rep- resentation for fine-grained visual recognition problems.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Learning common rationale to improve self-supervised rep- resentation for fine-grained visual recognition problems

Reference 41

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Observation 26484d49-c78b-4e06-ba26-1fee0475d964 · outbound

This paper cites Yfcc100m: The new data in multimedia research.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Yfcc100m: The new data in multimedia research

Reference 42

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This paper cites Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:39.006065Z

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Observation 9fe72dab-6a2a-4d7f-baab-dbefaa940071 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition The caltech-ucsd birds-200-2011 dataset

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:38.992826Z

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Observation 610d50cb-4f79-4cc5-ae80-ce52a3e8d78e · outbound

This paper cites Dense contrastive learning for self-supervised visual pre-training.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Dense contrastive learning for self-supervised visual pre-training

Reference 45

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Observation cbd3dbf7-850e-4957-afd5-bd0f0ae06516 · outbound

This paper cites On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:28:38.651829Z

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Observation f5fa7279-ec4e-4ce0-8882-9f7d2f8b22e7 · outbound

This paper cites Can semantic labels assist self-supervised visual representation learning? In Proceedings of the AAAI Conference on Artificial Intelligence , pages 2642– 2650, 2022.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Can semantic labels assist self-supervised visual representation learning? In Proceedings of the AAAI Conference on Artificial Intelligence , pages 2642– 2650, 2022

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:38.970917Z

Source-reported events for the cited work

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Observation 6d231e83-d8e5-44b3-84db-3c1f87de42a1 · outbound

This paper cites Exploring Localization for Self-supervised Fine-grained Contrastive Learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Exploring Localization for Self-supervised Fine-grained Contrastive Learning

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:28:38.694231Z

Source-reported events for the cited work

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Observation 5f44a32a-99de-4bb4-9b1c-977537edc472 · outbound

This paper cites Joint unsuper- vised learning of deep representations and image clusters.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Joint unsuper- vised learning of deep representations and image clusters

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:38.944135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15d87f7c-d36f-4bd6-b0fb-e8dd8ede64eb · outbound

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

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Barlow twins: Self-supervised learning via redundancy reduction

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T10:28:38.606463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e94749-c7b8-47d2-a03c-fd8a3c6b11f7 · outbound

This paper cites Self-supervised learning for time series analysis: Taxonomy, progress, and prospects.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Self-supervised learning for time series analysis: Taxonomy, progress, and prospects

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:38.855358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f948ec5-d05e-48e4-96bf-9b482b84589b · outbound

This paper cites Distilling localization for self-supervised representation learning.

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition Distilling localization for self-supervised representation learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:28:38.733120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation d15a99ba-2615-476e-93c6-60ba9dd5b342 · inbound

SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation cites this paper.

SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:24:00.772968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.