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Paper Citation Record · LEDGER

Visual Prompt Tuning for Test-time Domain Adaptation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2210.04831.

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

pith.paper-citation-record.v1
2210.04831 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:55.097072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:29.870085Z

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 860ad188-954c-49d5-8fca-2bc260b339fd · inbound

DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers cites this paper.

DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers Visual Prompt Tuning for Test-time Domain Adaptation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:55.097072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:55.097072Z digest=sha256:c1ea3acc689bb767068058ceba37c7505227495c4f1a075ce4a78c92ae7f6f01

Observation 079492ed-794e-428f-b01d-45c85244e2f5 · inbound

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation cites this paper.

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation Visual Prompt Tuning for Test-time Domain Adaptation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:29:51.760968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:29:51.760968Z digest=sha256:c9006541918688cc817374bc5325f2fb16966c3e05eac96bb869a7426f67528e

Observation ed55fa40-a8ca-4ea1-936f-ddf1cd977a8b · inbound

Test3R: Learning to Reconstruct 3D at Test Time cites this paper.

Test3R: Learning to Reconstruct 3D at Test Time Visual Prompt Tuning for Test-time Domain Adaptation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:08.393324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:08.393324Z digest=sha256:62914c467c51503c4b02bcaedab3185a3eae1c9d13fb4212ee0ba6bbf1b3f154

Observation be0078ce-cc7e-4ef2-90cd-9a4ac5faf6a6 · inbound

F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning cites this paper.

F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning Visual Prompt Tuning for Test-time Domain Adaptation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T20:37:19.192228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:37:19.192228Z digest=sha256:182daa7b05398040a4d78a53dcf8eb3c39e1fdd9154175132f07ee6244808d28

Observation fc6487c4-9d8a-4377-a038-4fa6ec4dba2d · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation Visual Prompt Tuning for Test-time Domain Adaptation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T20:20:35.598714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:20:35.598714Z digest=sha256:8613d6d7a63b3b92a32b597bb3d06c753f8f80ccb0ac897836f06d2e2fdc260b

Observation 3e3bbd79-0119-49f8-b816-705f6a5a5eae · inbound

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation cites this paper.

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation Visual Prompt Tuning for Test-time Domain Adaptation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:30:07.747150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T15:26:37.304652Z digest=sha256:db18609b82e8b00e41360516b6a0c3ea7d4602bd19698a26587076500aa081b7

Observation 260454fa-0a19-4070-a2f1-3d3693f050e0 · inbound

SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models cites this paper.

SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models Visual Prompt Tuning for Test-time Domain Adaptation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:47:09.267497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T22:25:32.251846Z digest=sha256:492078cd4d7134d5d48a806d2cd6ea4816616ad1ebc385f9e594dd3493c61d24

Observation d91a317e-c921-4750-b825-69159a72e5df · inbound

Timage: A Generative Text-in-Image Paradigm for Fine-Tuning Vision-Language Models cites this paper.

Timage: A Generative Text-in-Image Paradigm for Fine-Tuning Vision-Language Models Visual Prompt Tuning for Test-time Domain Adaptation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:29.872132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:51:49.198510Z digest=sha256:8b1d3eeea5e1c7805e933808c2502ff869b394f21331f70bf77628a87b2b70ec