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Paper Citation Record · LEDGER

Conditional Positional Encodings for Vision Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2102.10882.

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

pith.paper-citation-record.v1
2102.10882 v3

Coverage vector

measured 0 of 0 reference resolution

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measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:35.766909Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:56.509722Z

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Outbound references

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Pith citing papers

Observation 2212ddb7-89fa-46a9-899e-e24b0331cab8 · inbound

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows cites this paper.

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Conditional Positional Encodings for Vision Transformers

Reference 15

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arxiv_id, observed 2026-05-15T19:27:56.944252Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 27655d9f-a601-4848-8062-06195cc422f0 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Conditional Positional Encodings for Vision Transformers

Reference 211

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arxiv_id, observed 2026-05-14T23:07:42.452808Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 20bf5ead-4004-41af-b2ca-25e534e3039a · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Conditional Positional Encodings for Vision Transformers

Reference 14

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arxiv_id, observed 2026-05-16T07:02:53.836536Z

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source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:d200bb21263416316abfdf1d3ad485e39025664963bad09de432e67eba777f41

Observation db8502d9-d9ca-4485-8058-95c3c5ec85a8 · inbound

Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes cites this paper.

Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes Conditional Positional Encodings for Vision Transformers

Reference 10

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arxiv_id, observed 2026-05-23T21:28:27.563406Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T21:26:32.186947Z digest=sha256:ac182ead9d7f2738b0391f1f95e830a65936de5ace347e5df2a3927f553cbdb8

Observation bdbf772d-2129-4b38-8918-7073e0caa85c · inbound

MambaIRv2: Attentive State Space Restoration cites this paper.

MambaIRv2: Attentive State Space Restoration Conditional Positional Encodings for Vision Transformers

Reference 13

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source=pdf_text observed=2026-08-12T14:50:01.455352Z digest=sha256:37d1640a8bb4586f656e14d59f97a77273a42665ecd3c1f477fb711d46497001

Observation b386e4cd-13ee-4c80-af45-d2e5fded5d59 · inbound

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images cites this paper.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Conditional Positional Encodings for Vision Transformers

Reference 40

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source=pdf_text observed=2026-08-11T23:50:02.532771Z digest=sha256:8646c5572fee6ba796a84b69b2fe2fcfea2c7ffa3f34a860b48f2d66ef365514

Observation d3c38b0f-0ceb-46ae-b701-1986349229c0 · inbound

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone cites this paper.

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone Conditional Positional Encodings for Vision Transformers

Reference 6

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source=pdf_text observed=2026-08-11T15:28:55.391082Z digest=sha256:64cc491edae06d819c797f0467b3ca412ab85eaca93e2a623d919d1c0e7c758f

Observation 7d523644-814f-4ec9-9df7-2b301c1ce244 · inbound

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning cites this paper.

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning Conditional Positional Encodings for Vision Transformers

Reference 64

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source=pdf_text observed=2026-08-10T19:05:27.490529Z digest=sha256:946e84b2228a6300617b3a26cdb24b60df9fac7bf92ceccc7446ff68a593499f

Observation 0a3d22f0-2778-4a2d-b7fd-3ff154b867d7 · inbound

Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding cites this paper.

Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding Conditional Positional Encodings for Vision Transformers

Reference 12

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source=arxiv_source observed=2026-08-10T18:53:21.160206Z digest=sha256:48e7cf3fbacc73f2db5de90f0f5cc380d925a215236164d4b7f0fbf0ed862294

Observation 6d2d82fb-c37b-488b-b7c5-7bc20ddac949 · inbound

iFormer: Integrating ConvNet and Transformer for Mobile Application cites this paper.

iFormer: Integrating ConvNet and Transformer for Mobile Application Conditional Positional Encodings for Vision Transformers

Reference 2019

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source=pdf_text observed=2026-08-10T14:24:25.735397Z digest=sha256:d963d721e95551c747802c34662069e5a6655c68bd67950251f25f26f7494329

Observation 33b66a31-4a46-487a-928c-512e655ca41c · inbound

The Linear Attention Resurrection in Vision Transformer cites this paper.

The Linear Attention Resurrection in Vision Transformer Conditional Positional Encodings for Vision Transformers

Reference 9

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source=pdf_text observed=2026-08-10T13:41:54.488315Z digest=sha256:70ab5c253aa23aaccc3eb1daccdab0d8733b8c909aa06bddb070b0037b0b09d9

Observation 331b60cc-d008-4ea1-8b28-a14c2f3c3bc2 · inbound

TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection cites this paper.

TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection Conditional Positional Encodings for Vision Transformers

Reference 48

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source=pdf_text observed=2026-08-10T04:29:49.440946Z digest=sha256:6afc91ce433b126685b1b0945d211da75a1f1301dd5540bc422bd7c69545cfb3

Observation 2a89c1d7-1ebc-4665-b812-c104c6b8916a · inbound

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling cites this paper.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Conditional Positional Encodings for Vision Transformers

Reference 8

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source=arxiv_source observed=2026-08-09T10:41:01.278794Z digest=sha256:971390582b3988bc18824317f23537d6ffba189f8cd666fd2ca2d6c0ea3ff4ab

Observation f33ecc9f-ff1d-466d-a9ce-f4532aee6c24 · inbound

Compress image to patches for Vision Transformer cites this paper.

Compress image to patches for Vision Transformer Conditional Positional Encodings for Vision Transformers

Reference 21

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source=pdf_text observed=2026-08-07T19:24:18.962558Z digest=sha256:07528d806d42fdfcac53e3fad7defe5abd3d992610afad8a36ea8cbf56f45118

Observation 2513cc64-b3f4-40ec-a2c8-d7071577fe94 · inbound

LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers cites this paper.

LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers Conditional Positional Encodings for Vision Transformers

Reference 6

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arxiv_id, observed 2026-05-22T18:21:55.991100Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T18:18:56.091429Z digest=sha256:f2441db6d11a7ba02458208476e20d8bdb5e5b30ae6eb56ad2686539570486c9

Observation f2cbe959-f99a-41ce-b55a-df2bea3bfc66 · inbound

A Comparative Study on Positional Encoding for Time-frequency Domain Dual-path Transformer-based Source Separation Models cites this paper.

A Comparative Study on Positional Encoding for Time-frequency Domain Dual-path Transformer-based Source Separation Models Conditional Positional Encodings for Vision Transformers

Reference 17

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Observation 80476927-6acc-46bd-8173-410e79f3f4ba · inbound

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology cites this paper.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Conditional Positional Encodings for Vision Transformers

Reference 6

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Observation 5d24377c-3ee8-4ec6-9477-b19b51ca2112 · inbound

WriteViT: Handwritten Text Generation with Vision Transformer cites this paper.

WriteViT: Handwritten Text Generation with Vision Transformer Conditional Positional Encodings for Vision Transformers

Reference 22

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source=pdf_text observed=2026-08-15T20:21:05.263953Z digest=sha256:ca101e877460e4892520305e53e6ea8df1cef5dc0cd143aff3e09cb0ac15ceca

Observation 2849dda0-aaaa-4426-8844-c9eb5ed6b04a · inbound

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning cites this paper.

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning Conditional Positional Encodings for Vision Transformers

Reference 5

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source=arxiv_source observed=2026-08-07T11:13:58.611323Z digest=sha256:1629f9b639383b398dd67f4ea62f7036e955baa68da17dfc1970090b5cfd8388

Observation dcc5ce5f-76eb-4247-8dea-4353601196d6 · inbound

Vision Generalist Model: A Survey cites this paper.

Vision Generalist Model: A Survey Conditional Positional Encodings for Vision Transformers

Reference 40

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source=arxiv_source observed=2026-08-07T04:43:40.606136Z digest=sha256:0f0ba0c841f49b235924d321c513c9849735bdafe5a522a6cd9f53580c1713a0

Observation 6db0e4ee-cd47-4a24-8f07-851120de904e · inbound

Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention cites this paper.

Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention Conditional Positional Encodings for Vision Transformers

Reference 11

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Observation d3a3f5fd-6340-46d1-af72-99fcbb171e40 · inbound

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis cites this paper.

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis Conditional Positional Encodings for Vision Transformers

Reference 13

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Observation 8987f68c-8c40-440b-bc33-52f6ac536e7a · inbound

ToFe: Lagged Token Freezing and Reusing for Efficient Vision Transformer Inference cites this paper.

ToFe: Lagged Token Freezing and Reusing for Efficient Vision Transformer Inference Conditional Positional Encodings for Vision Transformers

Reference 30

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source=pdf_text observed=2026-08-06T15:19:59.017983Z digest=sha256:a1bbfb950c85f6e88e553d04651fd7f4bb254f4cc2b8657b3d8e7e2f5935496e

Observation 38c2ff56-6dd6-4526-84fb-d3c22f7b6628 · inbound

CoPE: A Lightweight Complex Positional Encoding cites this paper.

CoPE: A Lightweight Complex Positional Encoding Conditional Positional Encodings for Vision Transformers

Reference 2023

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source=pdf_text observed=2026-08-05T17:13:11.776775Z digest=sha256:7e42c4737a051efec0636327f264c0a9cb5832aa20e7a0ed813e8a49e15eb0de

Observation b24d652f-9c45-4d74-a47d-4d3de200c058 · inbound

SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification cites this paper.

SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Conditional Positional Encodings for Vision Transformers

Reference 4

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source=pdf_text observed=2026-08-05T10:36:59.387017Z digest=sha256:e48a8db46443a158374152ebb848502091629377cde7c1954f2055b04636893f

Observation ba805d2e-9a36-4721-9bb3-b04ec0ed478a · inbound

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures cites this paper.

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures Conditional Positional Encodings for Vision Transformers

Reference 5

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arxiv_id, observed 2026-05-10T23:25:54.006092Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8183770e-7660-4844-a811-e3bc34453479 · inbound

Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider cites this paper.

Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider Conditional Positional Encodings for Vision Transformers

Reference 14

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arxiv_id, observed 2026-05-11T14:11:04.330841Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T23:24:59.497990Z digest=sha256:7cb9d1bf3b92a31c8ea4b39557272b29641614a685827be822f7667d2f872f5f

Observation 7bee24b5-3fa0-4a53-b292-afdb8feb4d2d · inbound

USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation cites this paper.

USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation Conditional Positional Encodings for Vision Transformers

Reference 3

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arxiv_id, observed 2026-05-13T07:17:29.569616Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 52959f8e-ec8f-4b95-9285-f7f071eae726 · inbound

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers cites this paper.

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers Conditional Positional Encodings for Vision Transformers

Reference 7

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arxiv_id, observed 2026-06-29T22:24:00.986789Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 931c443e-be63-4654-9069-576441a40e0f · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale Conditional Positional Encodings for Vision Transformers

Reference 12

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arxiv_id, observed 2026-07-03T01:27:30.487775Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T16:36:54.699174Z digest=sha256:b2cf0b18c1580624ce98de2ff421774224993334afe58c0751ac92aed710475c

Observation 13d8427a-7d78-401a-a191-d5817240c59b · inbound

VistaRef: Boosting Visual Spatial Orientation Awareness for Pointing-to-Object Detection cites this paper.

VistaRef: Boosting Visual Spatial Orientation Awareness for Pointing-to-Object Detection Conditional Positional Encodings for Vision Transformers

Reference 4

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arxiv_id, observed 2026-07-04T16:09:56.511381Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T00:59:43.745654Z digest=sha256:dda1fc812f1d4abc685b96cb4536c26caee6c3d2cf69f36394ddbd9139981f4f

Observation 9a359755-f395-4fbc-ac6d-50e024e99554 · inbound

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers cites this paper.

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers Conditional Positional Encodings for Vision Transformers

Reference 8

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arxiv_id, observed 2026-07-01T10:15:44.815071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T05:39:21.642584Z digest=sha256:12dd2146a0217bfb7490a093c5d6fa0cbb46c8141f01cc45086262c829f87236

Observation b6aec985-8936-44c3-9c7e-4bb20c02a4c6 · inbound

Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts cites this paper.

Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts Conditional Positional Encodings for Vision Transformers

Reference 4

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arxiv_id, observed 2026-07-02T19:37:18.453593Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-02T19:32:45.679147Z digest=sha256:3781eb3e77f37185e69ff4fc105e057e4c068b6a0c5933dcd034bec8187d754d

Observation e08238e2-1901-404b-bb4c-ab96f4a925c0 · inbound

ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts cites this paper.

ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts Conditional Positional Encodings for Vision Transformers

Reference 40

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no resolver link, observed 2026-07-13T02:23:52.225787Z

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source=pdf_text observed=2026-07-13T02:23:52.225787Z digest=sha256:117f089bc8adfb87ccc97fd230667b2d4f198b305069aff3cd89dc92adbc1291

Observation 91a67d45-1e59-4c0c-9ca4-8297e9a9837d · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models Conditional Positional Encodings for Vision Transformers

Reference 69

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source=arxiv_source observed=2026-08-12T00:39:40.482608Z digest=sha256:2ad2ff63a7f85003c474d64e54fa593f0e8f93655497263a426d2ba4a32b7fc6

Observation 63344016-8127-4f0f-a1d4-1d5559ccae53 · inbound

NAE: Normalizing AutoEncoder cites this paper.

NAE: Normalizing AutoEncoder Conditional Positional Encodings for Vision Transformers

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T00:22:07.568038Z

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source=arxiv_source observed=2026-08-16T00:22:07.568038Z digest=sha256:9e812767f06488d760d190009636e5dd9e485b5fd93eebd16ad4831235763876