Paper Citation Record · LEDGER

XCiT: Cross-Covariance Image Transformers

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2106.09681.

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

pith.paper-citation-record.v1
2106.09681 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:07.575429Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

234
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4f49c304-66b8-4ae4-9a2e-9fb9b696a759 · inbound

VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval cites this paper.

VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval XCiT: Cross-Covariance Image Transformers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:00.930771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73854845-dfa1-4356-9969-f2c870cd5937 · inbound

Ultra-low-light computer vision using trained photon correlations cites this paper.

Ultra-low-light computer vision using trained photon correlations XCiT: Cross-Covariance Image Transformers

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:11:00.422978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6dee614f-c14b-45cf-9173-e20036347590 · inbound

Representing 3D Faces with Learnable B-Spline Volumes cites this paper.

Representing 3D Faces with Learnable B-Spline Volumes XCiT: Cross-Covariance Image Transformers

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:03.976805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee89778c-1346-499d-96ee-f4131f3bb937 · inbound

ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching cites this paper.

ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching XCiT: Cross-Covariance Image Transformers

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:11.428456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a3154c72-b3d4-4da1-9ce0-cbbd342dd8ec · inbound

One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning cites this paper.

One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning XCiT: Cross-Covariance Image Transformers

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:32.095806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b733a52c-1048-4009-9687-0cee3096d628 · inbound

The Transformer as a Polar State Estimator cites this paper.

The Transformer as a Polar State Estimator XCiT: Cross-Covariance Image Transformers

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:07:09.236969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 569c5f7f-f17e-45e0-ac4b-18c65f0688a0 · inbound

TextTeacher: What Can Language Teach About Images? cites this paper.

TextTeacher: What Can Language Teach About Images? XCiT: Cross-Covariance Image Transformers

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:26:12.533647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e41a57e-1fdc-4751-88d3-0f2d8a6f42ff · inbound

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference cites this paper.

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference XCiT: Cross-Covariance Image Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:48.342140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137895e7-81ac-49ae-8f0d-e1c9ca5035a5 · inbound

NAE: Normalizing AutoEncoder cites this paper.

NAE: Normalizing AutoEncoder XCiT: Cross-Covariance Image Transformers

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:07.575429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.