Paper Citation Record · LEDGER

Conditional Positional Encodings for Vision Transformers

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:32:09.704815Z

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

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:27:56.944252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:07:42.452808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.836536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:28:27.563406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:21:55.991100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:09.704815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:19:59.017983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T17:13:11.776775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T10:36:59.387017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:54.006092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:11:04.330841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.569616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.986789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:27:30.487775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:56.511381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; 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 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:37:18.453593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.