Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T04:13:28.233483Z
Paper Citation Record · LEDGER
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching
As of 22 July 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2604.25065.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact8
- verified fuzzy46
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a42bc898-d83d-4873-84d0-a37a215df5dd · outbound
This paper cites The lateral occipital complex and its role in object recognition.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching The lateral occipital complex and its role in object recognition
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.900338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 581c332d-816f-4692-8113-fef32e68d6b9 · outbound
This paper cites Recognition-by-components: A theory of human image understanding.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Recognition-by-components: A theory of human image understanding
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.889835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 1d68229d-b960-4d09-ac52-7706d5e99aee · outbound
This paper cites Surface versus edge-based determinants of visual recognition.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Surface versus edge-based determinants of visual recognition
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.882632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 671120e8-1a78-475f-ae8d-752a2b806873 · outbound
This paper cites Visual intelligence: How we create what we see.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Visual intelligence: How we create what we see
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.885904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 850c4646-d7d3-43d5-af2c-445698759ba9 · outbound
This paper cites Representation of Perceived Object Shape by the Human Lateral Occipital Complex.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Representation of Perceived Object Shape by the Human Lateral Occipital Complex
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.876408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 22e54a17-f409-43fb-a825-4cf79a338be3 · outbound
This paper cites ImageNet: A large-scale hierarchical image database.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching ImageNet: A large-scale hierarchical image database
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.862565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a8e2bd4d-d1dd-430f-b214-056c7e9d5663 · outbound
This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:51:11.399305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 110019b2-e68d-45f0-bb05-48f1b997b6b1 · outbound
This paper cites Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:51:11.388426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3b61a593-ee01-44ea-b41e-0fb56b6da7f9 · outbound
This paper cites Deep convolutional networks do not classify based on global object shape.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Deep convolutional networks do not classify based on global object shape
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.866156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9b4b12e3-9da1-4bc5-bc48-6f1e13404633 · outbound
This paper cites Shape- Biased Learning by Thinking Inside the Box.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Shape- Biased Learning by Thinking Inside the Box
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.869891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 7599d851-5707-48ce-8c9c-d0c90dfab804 · outbound
This paper cites Are Vision Language Models Texture or Shape Biased and Can We Steer Them?.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Are Vision Language Models Texture or Shape Biased and Can We Steer Them?
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.873016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation beeca131-4e2d-49ed-902a-92b74af613de · outbound
This paper cites Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.879339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 6114dc8a-bd71-4a68-a79e-73bca27acd06 · outbound
This paper cites Assessing Shape Bias Property of Convolutional Neural Networks.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Assessing Shape Bias Property of Convolutional Neural Networks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.896806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 57791100-e1e2-4fa9-a4cf-a60785fad774 · outbound
This paper cites Shape or Texture: Understanding Discriminative Features in CNNs.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Shape or Texture: Understanding Discriminative Features in CNNs
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.903735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation aa470b7a-9cd2-414e-8ade-8d2099968e18 · outbound
This paper cites Teaching deep networks to see shape: Lessons from a simplified visual world.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Teaching deep networks to see shape: Lessons from a simplified visual world
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.942947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation d2fcde97-d611-444c-bc3c-1c3012733a61 · outbound
This paper cites Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.849051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 2cb7a19f-cbea-46a8-a19c-dfc0004f32a0 · outbound
This paper cites Does enhanced shape bias improve neural network robustness to common corruptions?.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Does enhanced shape bias improve neural network robustness to common corruptions?
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.859032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ad5cdea0-3b46-453d-adf3-0347e72f53e6 · outbound
This paper cites Can Biases in ImageNet Models Explain Generalization?.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Can Biases in ImageNet Models Explain Generalization?
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.852195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 185171f8-f73e-4b84-a3b4-cb3c1f5eaa86 · outbound
This paper cites Columbia Object Image Library (COIL-100).
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Columbia Object Image Library (COIL-100)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.839074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation cccf97e6-c166-424b-8360-54978f4fe279 · outbound
This paper cites Learning methods for generic object recognition with invariance to pose and lighting.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Learning methods for generic object recognition with invariance to pose and lighting
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.845486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 6255b4dd-7f7e-4eb9-b91e-ca8440a49799 · outbound
This paper cites A large-scale hierarchical multi- view RGB-D object dataset.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching A large-scale hierarchical multi- view RGB-D object dataset
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.829044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation b7a7c559-cd0b-49d0-b073-2f31e62c2cad · outbound
This paper cites BigBIRD: A large-scale 3D database of object instances.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching BigBIRD: A large-scale 3D database of object instances
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.825616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 184865e2-49b3-4423-8bb6-fd37f24ea7d4 · outbound
This paper cites iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.815257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation fe1f345c-064b-4e3c-8b3e-0f05eabe6548 · outbound
This paper cites CORe50: A New Dataset and Benchmark for Continuous Object Recognition.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching CORe50: A New Dataset and Benchmark for Continuous Object Recognition
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.818848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ff4ca511-38af-4cd2-83fc-f128a8de7c04 · outbound
This paper cites Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.822248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation dee2bcb5-60b7-4ded-8066-1c73755cb7a6 · outbound
This paper cites Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.832434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 85acd3b9-9bc0-4d1f-9063-cf6bd6a51765 · outbound
This paper cites PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.835667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 942549ed-cecf-430b-88d8-353066f79cf2 · outbound
This paper cites Benchmarking Neural Network Ro- bustness to Common Corruptions and Perturbations.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Benchmarking Neural Network Ro- bustness to Common Corruptions and Perturbations
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.811986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a0d96d4e-d2b4-4f67-8d4a-6c3bd1e4b100 · outbound
This paper cites Learning Robust Global Representations by Penalizing Local Predictive Power.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Learning Robust Global Representations by Penalizing Local Predictive Power
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.805356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9da69384-7d5b-4821-a172-bd32ec26390b · outbound
This paper cites One-shot viewpoint invariance in matching novel objects.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching One-shot viewpoint invariance in matching novel objects
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.798440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f34876b0-cb9b-4d0b-9c49-b74342f89f59 · outbound
This paper cites On the Semantics of a Glance at a Scene.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching On the Semantics of a Glance at a Scene
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.792037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation e0f00682-54b7-4b5a-886d-02fcc6ce8312 · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching ShapeNet: An Information-Rich 3D Model Repository
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T21:51:11.370068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 5680da5d-d30c-4d68-8972-21c735337e84 · outbound
This paper cites Untangling invariant object recognition.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Untangling invariant object recognition
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.795079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 08f262f1-6af9-4440-8af5-56736ce10ae5 · outbound
This paper cites Deep Residual Learning for Image Recognition.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Deep Residual Learning for Image Recognition
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T21:51:11.374754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c753a963-cfaa-4259-95da-69f5649be994 · outbound
This paper cites PyTorch Image Models.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching PyTorch Image Models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.855496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 05170aed-4220-421a-9b6f-830507f4ed0f · outbound
This paper cites A Simple Framework for Contrastive Learning of Visual Representations.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching A Simple Framework for Contrastive Learning of Visual Representations
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:31:53.429341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f43db2ea-3707-4125-8cf4-a08837b04536 · outbound
This paper cites DINOv2: Learning Robust Visual Fea- tures without Supervision.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching DINOv2: Learning Robust Visual Fea- tures without Supervision
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.808611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a484b0a0-2b3b-4fe9-acbb-9d622ee98f3b · outbound
This paper cites Decoupled Contrastive Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Decoupled Contrastive Learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.782382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3df9575d-6919-4f95-ac79-bfc293896e0a · outbound
This paper cites Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.789190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 1671f66b-53c0-48d5-8fd2-a6dcd958919c · outbound
This paper cites VICReg: Variance-Invariance- Covariance Regularization for Self-Supervised Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching VICReg: Variance-Invariance- Covariance Regularization for Self-Supervised Learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.907246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3406cd38-a4f0-457b-a986-ac5a1a8cd455 · outbound
This paper cites Momentum Contrast for Unsupervised Visual Representation Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Momentum Contrast for Unsupervised Visual Representation Learning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.775492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation de3e68fe-7353-4b79-8050-d7fefa886970 · outbound
This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Bootstrap your own latent: A new approach to self-supervised Learning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.772181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a921b1fd-bd52-4709-977b-ea9101c41cc5 · outbound
This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.778797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 7e7739e6-a8b7-4b8c-afa2-67d0724bca59 · outbound
This paper cites Emerging Properties in Self-Supervised Vision Transform- ers.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Emerging Properties in Self-Supervised Vision Transform- ers
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.785796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 6a7d62ae-ba4e-4e99-808d-f19acc8b957e · outbound
This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:51:11.319046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 999c7a79-4081-4f02-84b5-68b3b4ad7c36 · outbound
This paper cites On the surprising similarities between supervised and self-supervised models.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching On the surprising similarities between supervised and self-supervised models
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:51:11.420036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9421a137-7678-4557-bbb1-c28b49094cb1 · outbound
This paper cites ResNet strikes back: An improved training procedure in timm.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching ResNet strikes back: An improved training procedure in timm
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.762637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation d04692b6-8f12-4cfd-9990-bf88952516d0 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T21:51:11.438865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ee5a151a-f694-4a93-9a52-dddcef02fa6a · outbound
This paper cites A ConvNet for the 2020s.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching A ConvNet for the 2020s
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.765745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 66bcda02-ed59-4d03-a470-34c2a99cf5b3 · outbound
This paper cites ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching ConvFormer: Combining CNN and Transformer for Medical Image Segmentation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.759351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ee89778c-1346-499d-96ee-f4131f3bb937 · outbound
This paper cites XCiT: Cross-Covariance Image Transformers.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching XCiT: Cross-Covariance Image Transformers
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:51:11.428456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 74ad036a-b62f-4c9d-a752-cb4e5551e4fc · outbound
This paper cites Going deeper with Image Transformers.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Going deeper with Image Transformers
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.768886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9a4a6bb9-678a-4e10-ab88-8652ec3f022b · outbound
This paper cites Masked Autoencoders Are Scalable Vision Learners.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Masked Autoencoders Are Scalable Vision Learners
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.893107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation de225720-f18c-4f3a-b323-2476520fd08e · outbound
This paper cites Shortcut learning in deep neural networks.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching Shortcut learning in deep neural networks
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.801916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ba6877da-da00-48b9-9e0a-c6cda9978329 · outbound
This paper cites ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms.
ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T21:13:04.842277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Pith citing papers
No inbound Pith citation observations are available.