Paper Citation Record · LEDGER

How Much Position Information Do Convolutional Neural Networks Encode?

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2001.08248.

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

pith.paper-citation-record.v1
2001.08248 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:40.701277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:03:56.574004Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 74db8b91-7b87-4e0d-97d8-f517759c97a8 · inbound

RoFormer: Enhanced Transformer with Rotary Position Embedding cites this paper.

RoFormer: Enhanced Transformer with Rotary Position Embedding How Much Position Information Do Convolutional Neural Networks Encode?

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T19:37:06.665151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb8314c0-8f33-432a-8244-9626d2893454 · inbound

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers cites this paper.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers How Much Position Information Do Convolutional Neural Networks Encode?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:56:50.078116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95a60d74-ed8f-456e-b9ce-d8ddf3470926 · inbound

STEAM: Squeeze and Transform Enhanced Attention Module cites this paper.

STEAM: Squeeze and Transform Enhanced Attention Module How Much Position Information Do Convolutional Neural Networks Encode?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T17:26:32.373298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a6236e-7d34-4ff6-944a-789e22ec86c2 · 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 How Much Position Information Do Convolutional Neural Networks Encode?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:21.194797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c34aaa-c257-4c27-b842-5337ba2f1867 · inbound

The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology cites this paper.

The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology How Much Position Information Do Convolutional Neural Networks Encode?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:32.978462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03be440d-a062-48af-acef-c1675854e7c9 · inbound

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting cites this paper.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting How Much Position Information Do Convolutional Neural Networks Encode?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.215713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53f7b0d2-fd85-4ed9-982d-5b485cd4d86e · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers How Much Position Information Do Convolutional Neural Networks Encode?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.518790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb1a39a0-e6e2-4efd-81db-1c5696bb5688 · inbound

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices cites this paper.

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices How Much Position Information Do Convolutional Neural Networks Encode?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.919623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3791e82e-a7d0-4d27-a2fa-efa95251ed0d · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling How Much Position Information Do Convolutional Neural Networks Encode?

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.575686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 037163c8-a603-40e7-ba69-2f1316fa9a01 · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling How Much Position Information Do Convolutional Neural Networks Encode?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T09:58:49.837576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c9c35f-2a74-4bfb-8ce6-fde4fdd5b3ee · inbound

A physics-informed neural network for improving surface reconstruction of intracranial saccular aneurysms via variational membrane equilibrium cites this paper.

A physics-informed neural network for improving surface reconstruction of intracranial saccular aneurysms via variational membrane equilibrium How Much Position Information Do Convolutional Neural Networks Encode?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T06:01:09.710655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62aeeee5-f526-4b4e-a34a-50ac2aa4d10c · inbound

A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues cites this paper.

A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues How Much Position Information Do Convolutional Neural Networks Encode?

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T05:39:26.911877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05cf98b0-4ae1-461d-922d-dafe6856e76f · 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 How Much Position Information Do Convolutional Neural Networks Encode?

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:40.701277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.