Pith. sign in

Paper Citation Record · LEDGER

Going deeper with Image Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:27.352929Z

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T11:50:11.476015Z digest=sha256:51aa824d811442a4c1a38b2dd82fb91b78a53198f471b772ff295cbb7ad49b73

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T20:46:35.073600Z digest=sha256:9cebb4a898bb44da78f85b2f426073e3bfcaf5b09cfcb7a9ceec4d5b6d73833e

Observation 0c825f4a-3942-458f-9398-fbd0d43eb48b · inbound

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining cites this paper.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Going deeper with Image Transformers

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:27.352929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.352929Z digest=sha256:4807b782d7bdc5a8422fc519226a9cb25dfbcb93be5304757138f8c1cf819e92

Observation 2d148488-a06c-407f-9bed-fb30a8ee1d59 · inbound

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture cites this paper.

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture Going deeper with Image Transformers

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:22.444631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:22.444631Z digest=sha256:c61341aa3caba329e2bb554976272cdcd966432cf182cb9cb94e59dedbc6ef11

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=sha256:99b9a9b6a0cd5adb4b9a3895d272cb5b52f400c613d590a2ad5a23bb9f70048d

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=sha256:7857c635ea0ba3999b8bffb46b3bc4e29aceb367f120a3e6e02ac12f0ef4fe9d

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=sha256:7a84f7152c2712c27e88a7139d0474d11c79ea0b91b72efa75ec21ab3bc2a032

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T14:19:46.400753Z digest=sha256:a9876845debb518260236bdd0d68193a1446bb868fd7d8cf9b7d62fe26a1d9f1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T06:39:04.312270Z digest=sha256:5425e634b8eb8b1eb315e04f81657a32355053d63683e57f30e93b09f3e50f5e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T14:07:51.545351Z digest=sha256:b7ba4dc7df407983695cdbcda1f3fc49c7cff0c019a603cf48a011beb7df474c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:27:56.674153Z digest=sha256:de191126787f01facc699926789a942d94528e971ca2fb21e828a7856f6f88ec

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T07:05:32.291252Z digest=sha256:622b7e686697ce616746127f34c259fa79ac11f27eeafeb2c75b6533f9b576fe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T06:38:06.546686Z digest=sha256:1237b2ccc7808095738c811fd8067bbe0c78e4a65c68a52d154e9182aac699be