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Paper Citation Record · LEDGER

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.02919.

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

pith.paper-citation-record.v1
2502.02919 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:41:01.420244Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e661855d-07eb-4557-b828-2c81dc1a4a5c · outbound

This paper cites Layer Normalization.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Layer Normalization

Reference 1

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source=arxiv_source observed=2026-08-09T10:41:01.239337Z digest=sha256:50681a4b367f17c85adaaacb4463a29a7bade8310183dfb9101b50a9a874bec3

Observation ec137b26-5003-4bd1-b0fd-29606f6bfc7d · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 2

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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=arxiv_source observed=2026-08-09T10:41:01.246337Z digest=sha256:33a6574f9738ed5ee729651b443e7c0a1ad8aeb4c5cc6476298976a04b07dcbb

Observation ec6f87cd-03b7-44fe-8263-539446193a3d · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-09T10:41:01.251977Z digest=sha256:9ac1bcc045b4bf8c9105af8df942990d5c941230fbbd49e915f35ab9affe3f47

Observation 16c3790a-fb14-424e-8ea9-bc6217ab2907 · outbound

This paper cites J.; Jin, R.; and Shou, M.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling J.; Jin, R.; and Shou, M

Reference 4

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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.

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Observation 6ee06156-ff64-425f-b760-4c1971901098 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 5

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source=arxiv_source observed=2026-08-09T10:41:01.262696Z digest=sha256:9b3be6057df5f8efb6a5e31658a6437dc0d1753afa410e781a9271c2a23a9dc0

Observation 963676bc-1edb-48fd-922d-7aef6b7701bd · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Vision Transformer Adapter for Dense Predictions

Reference 6

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source=arxiv_source observed=2026-08-09T10:41:01.268204Z digest=sha256:bbbab6dc1a49837734e2e46baef05b2c7bdc646dd1a90cc1e0b4e8067ec528dc

Observation eefb3eef-0b7d-4a45-8348-3a7a6d85e486 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 7

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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=arxiv_source observed=2026-08-09T10:41:01.274027Z digest=sha256:6e10dd4dd8a195c43c3123c513c14c8d595fb792c870955725bd88e6075e60b7

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

This paper cites Conditional Positional Encodings for Vision Transformers.

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 0e20669a-ab27-43aa-bf4a-b58d34e2d938 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 9

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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.

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Observation f6cab2d6-8f57-4e7f-9bce-75c1ea147823 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-09T10:41:01.288513Z digest=sha256:b56b20e29936716428cc447c741ffefb248ec9df793577c03631cb213f1a47ed

Observation 591e8f8a-cc38-47e5-9a9f-73e7ee6af321 · outbound

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

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Observation 717870e9-5ab3-4364-a5f6-c01970772fe0 · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Escaping the Big Data Paradigm with Compact Transformers

Reference 12

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Observation 2068eef1-69cf-4add-b4fb-0f2d8febc9c1 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-09T10:41:01.303810Z digest=sha256:9bac5ca142e6b184a5fa3a250c5468ba2882017f199fabd6ebd4b7e614969367

Observation f6034912-b7f0-4ccc-b819-7b146fb90ef1 · outbound

This paper cites Rotary Position Embedding for Vision Transformer.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Rotary Position Embedding for Vision Transformer

Reference 14

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source=arxiv_source observed=2026-08-09T10:41:01.308538Z digest=sha256:2f181edac01529421a65677ffe6ad7df914ae49ee55ef8a24ab7366040ba82cb

Observation 0df307c7-248e-4f89-b52d-40080797030a · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 15

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Observation de472f31-358d-4b32-9ad3-a6e256d5b830 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-09T10:41:01.318568Z digest=sha256:c98e542bd2c72eeb9dcf4b5543ce79c3d1183b359a12a628d52125cd0d634199

Observation 21c0907a-0ba6-42d3-8c64-ad4e73036f87 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 17

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Observation 5a1140ae-6822-40c5-b119-1a01ee5eb784 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-09T10:41:01.328114Z digest=sha256:34686d0e36d5f1257e7330d77f2934ac59f5e04b5d82aed046faf4756d224993

Observation 47b62d92-d59e-4398-9df3-b27b436c0e61 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-09T10:41:01.332753Z digest=sha256:31a1b46baf66b9fbea8fbc9fc865120421dea2b991e11493c750fe335b8a1fed

Observation 14eaa9f1-5f2c-4801-9767-c27a832e012b · outbound

This paper cites Self-Attention with Relative Position Representations.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Self-Attention with Relative Position Representations

Reference 20

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Observation f0fedcb6-1420-47ea-96b3-e9e676f782b9 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 21

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Observation 487896cd-b4f6-4c1d-b708-342e75481ac1 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-09T10:41:01.347656Z digest=sha256:1d473a6aa8d1885e3afb0707b5c125ebfd1da053dc217d809f8606bd66d3d57c

Observation e051b9ba-25d3-496d-825d-f5af358bf046 · outbound

This paper cites N.; Kaiser, .; and Polosukhin, I.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling N.; Kaiser, .; and Polosukhin, I

Reference 23

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Observation 85715c03-046f-4f1c-a2f1-ebb7ab802e61 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 24

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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.

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Observation f91d2907-7005-45c4-af58-0edc020bdebb · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 25

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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 81bbc29a-c45d-4554-9e30-7dffb78d04f7 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 26

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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 d8969e2a-c39c-4bc5-a0a5-1f28b1d91e35 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 27

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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 ee22e8d4-7482-4705-8de2-fd414c093775 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 28

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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=arxiv_source observed=2026-08-09T10:41:01.380740Z digest=sha256:7235eef35c4fb0267bb57d7329f2d2cc5a33f80d05abfa5e4e6db5550055e0ee

Observation 7903436a-3741-458a-9701-761b25010063 · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 29

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T10:41:01.385331Z digest=sha256:51055cd6441b22807a4781ec5c1708230ffa79de26961086573b64677b31553e

Observation 4ecedc5b-3b8d-46ea-bf31-0f6c09762449 · outbound

This paper cites E.; Feng, J.; and Yan, S.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling E.; Feng, J.; and Yan, S

Reference 30

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 74b25d0e-f68f-4fb9-9f03-765cd1e38a1b · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 31

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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.

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Observation b5f0ee3c-3f15-45f1-a2e3-e3ca2ab611fa · outbound

This paper cites H.; et al.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling H.; et al

Reference 32

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Observation de705d0b-0541-444a-ac28-c90a3343f01d · outbound

This paper cites an unresolved cited work.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Unresolved cited work

Reference 33

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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.

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Observation f502618b-00cb-4b64-a0d0-66b3b71f479f · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 34

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Observation 6cdc534d-677f-4fea-80a0-f0de778b9d9a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling , " * write output.state after.block = add.period write newline

Reference 35

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source=arxiv_source observed=2026-08-09T10:41:01.414853Z digest=sha256:fb475ebfd20f5b8d4d2f71313d5373db6b449dea446b73c9eccbf412425a890d

Observation 4efd5ca3-de0c-45f2-9cb1-559c22e23405 · outbound

This paper cites write newline.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling write newline

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.