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Paper Citation Record · LEDGER

Going deeper with Image Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2103.17239.

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

pith.paper-citation-record.v1
2103.17239 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:07:43.835630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 d9dca7dd-22c6-42af-ae1e-b410bed55b6d · inbound

BEiT: BERT Pre-Training of Image Transformers cites this paper.

BEiT: BERT Pre-Training of Image Transformers Going deeper with Image Transformers

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T11:50:11.494438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T11:50:11.476015Z digest=sha256:c180196bb37eebd89cf3db8da9a3813c3a5f31a69729bdd6a4e79851e9d05319

Observation 285e6f8c-84bb-4344-b775-f99c718c0491 · inbound

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer cites this paper.

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Going deeper with Image Transformers

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T20:46:35.173543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T20:46:35.073600Z digest=sha256:888be342e4cf2c3f7321f0582054ecd5dc96004f221609134e0be8581624e1cb

Observation a9ce931b-b071-4f0f-be9c-0113933c6ad1 · inbound

Flopping for FLOPs: Leveraging equivariance for computational efficiency cites this paper.

Flopping for FLOPs: Leveraging equivariance for computational efficiency Going deeper with Image Transformers

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:43.835630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:07:43.835630Z digest=sha256:6fdbcb07d250c2f249571bce9a898a00dfc75d0cfee149d3ead5968b93054567

Observation 7279320f-5f87-45f3-a54c-f40979c7eaa2 · inbound

NOVO: Unlearning-Compliant Vision Transformers cites this paper.

NOVO: Unlearning-Compliant Vision Transformers Going deeper with Image Transformers

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:23:43.549182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:23:43.549182Z digest=sha256:ed2a298e36b96645e176e686c8eb2d27ea6e38bb133bf1f2881282ac5732b6e5

Observation 2d6c3655-e81a-438e-8190-19fa5ae0c927 · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Going deeper with Image Transformers

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:59.369430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:59.369430Z digest=sha256:93ba80e04a60e3844cf6985b8ec435bda4ff47bd70a56c62e942de2941e475c5

Observation 0d06a6b2-78ef-4569-b288-0fe679a07845 · inbound

Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers cites this paper.

Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers Going deeper with Image Transformers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:20:13.526175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T14:19:46.400753Z digest=sha256:8e067c8c1aeb7e2eb31506e81983463958069b331e358d46cfe7f0bf60be18a3

Observation 552265fb-b7c5-4cda-a845-c9aeb7553a73 · inbound

Attention Residuals cites this paper.

Attention Residuals Going deeper with Image Transformers

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:39:04.441462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T06:39:04.312270Z digest=sha256:38c3e5e59143538803b5562fc7e0283f94753a1f509f85075c425c4ec93b9e49

Observation 1c053aae-f826-435c-b44b-a15b6a40f4e4 · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models Going deeper with Image Transformers

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:46:08.368635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T14:07:51.545351Z digest=sha256:7d7d6a1a36b6fecc05d39fe5c085d3782f14b49ce42ae325ad3fa29b2fb1659c

Observation f508cb20-0c8c-46e7-8ada-a8f1c22007f1 · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models Going deeper with Image Transformers

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:56:33.650367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:27:56.674153Z digest=sha256:933a8bf51f495d21ee5eb728513392aa27bcb982f711058eca42c0c59ae710de

Observation 181e12f4-7dc1-4308-ba5b-7906ad3ecc5a · inbound

Graph Set Transformer cites this paper.

Graph Set Transformer Going deeper with Image Transformers

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T07:11:44.760692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:05:32.291252Z digest=sha256:40554374368ed9b41acdadcc57f0fd6f971198cfe9a15e861cc9ae313cd654c7

Observation ad152f29-5a4a-4b2e-9ff6-4acf6e37f828 · inbound

Review Residuals: Update-Conditioned Residual Gating for Transformers cites this paper.

Review Residuals: Update-Conditioned Residual Gating for Transformers Going deeper with Image Transformers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.832691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:38:06.546686Z digest=sha256:dc3ba1a7435f9d4202dac63d0cf45b00ea8e10d7a6c4cb3ba826431f13f43ed6