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Paper Citation Record · LEDGER

XCiT: Cross-Covariance Image Transformers

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T07:26:03.594414Z

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 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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-10T16:12:10.810592Z digest=sha256:bfd20f35a2e066a34bb4eedd5182a3ed962199dffcb6b8b079bc6117406bfd50

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-10T15:36:02.269466Z digest=sha256:8d07a5aff5dad8464b363c03cfcff1c7d971c46c180776619081fbca5b63c41b

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-08T04:13:28.233483Z digest=sha256:e28491826832b2d5c687115718e4289c5aeae73bfd96aa5fe86a12e85f1efb80

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-12T03:46:21.786972Z digest=sha256:8ef05afd7c0fb3c69db46425685f4eb0264cd13e9800792f101059e532d4083f

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 2026-07-23T06:31:01.910684+00:00.

source=arxiv_source observed=2026-05-13T00:58:28.483037Z digest=sha256:b13056fbc89fe18b30cd6346c3a16b160fcd1fa67e9b86e8823e8c41a50cacdc

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 2026-07-23T06:31:01.910684+00:00.

source=arxiv_source observed=2026-05-22T07:26:03.594414Z digest=sha256:ed63523242f0fcc76f434d2155ef646c17d519a8d736576eb510fc6a24bdec31