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Paper Citation Record · LEDGER

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.16334.

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

pith.paper-citation-record.v1
2412.16334 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:20:20.317311Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb2b8221-3e2b-4874-94ea-b06ab22b33b9 · inbound

Automated data curation for self-supervised learning in underwater acoustic analysis cites this paper.

Automated data curation for self-supervised learning in underwater acoustic analysis DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:26.794606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:26.794606Z digest=sha256:95940f0b20dfd72f19f217046e0bc5e390dc477b33620b1ee7b83883e36f23a7

Observation 6ef7d2ae-72c4-48a2-98f4-d893b79ba297 · inbound

Generalizable Object Re-Identification via Visual In-Context Prompting cites this paper.

Generalizable Object Re-Identification via Visual In-Context Prompting DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T14:33:23.363463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:33:23.363463Z digest=sha256:6edb5877b87e8bb6fd3888441e18f6457b4a674d54c698dc0fdc7c992fc1feeb

Observation c4526e6b-98f0-4507-91d9-81bb50fae72a · inbound

Exploring Image-Text Alignment for Radio Galaxy Morphologies cites this paper.

Exploring Image-Text Alignment for Radio Galaxy Morphologies DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T10:34:50.511447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-08T10:27:27.065695Z digest=sha256:55f411808f462bed2d40a0125d2dbae4019c1601c585a4222c80316529b29ee5

Observation 8db6e0e0-3571-4f51-97ae-7d0fb429adbb · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment

Reference 270

Resolution
unresolved
no resolver link, observed 2026-08-01T04:30:10.813808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:30:10.813808Z digest=sha256:3de81093755c5e64a4b5735708e02885e6342d301e3ba7743957ad93001e9223

Observation 4f297425-93bb-46e5-956c-51df4a5b4504 · inbound

Standalone DINOv3 for Training-Free Open-Vocabulary Semantic Segmentation in Remote Sensing cites this paper.

Standalone DINOv3 for Training-Free Open-Vocabulary Semantic Segmentation in Remote Sensing DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T04:20:20.317311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:20:20.317311Z digest=sha256:4a5069efe34d6e1cfd343f22d8f847509042968e3e39ed7fa60dc77db9222bef