Pith. sign in

Paper Citation Record · LEDGER

YOLO-UniOW: Efficient Universal Open-World Object Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.20645.

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

pith.paper-citation-record.v1
2412.20645 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:54:36.568121Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:23.215532Z

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 b043ac7e-e272-4dd3-93fc-16ae6180a83c · inbound

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection cites this paper.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection YOLO-UniOW: Efficient Universal Open-World Object Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:36.568121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:36.568121Z digest=sha256:97a51074f6db0b23b163cc686ddf5ba51837ab25622733540415d9850899f0e6

Observation 62a03147-c92a-4ca0-a30e-c81f7568683f · inbound

DOMR: Establishing Cross-View Segmentation via Dense Object Matching cites this paper.

DOMR: Establishing Cross-View Segmentation via Dense Object Matching YOLO-UniOW: Efficient Universal Open-World Object Detection

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T01:01:23.150884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:01:23.150884Z digest=sha256:09fceb87e38199f1b60558bb8919b753625400a7b11248b1dae3a6dfea054a49

Observation a0c2f091-8c7d-40bd-8833-5c66f294ddd1 · inbound

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey YOLO-UniOW: Efficient Universal Open-World Object Detection

Reference 300

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:55.888289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:06:55.888289Z digest=sha256:9e53d46328aef3bfe011c96dd503cee5b1ce86ca192c11c9aa4e5df61c2257c8

Observation 1d9a40ff-8d9d-48c7-8df3-7f4b206e41da · inbound

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models cites this paper.

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models YOLO-UniOW: Efficient Universal Open-World Object Detection

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:26.555008Z

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=2026-06-28T10:57:09.699207Z digest=sha256:56c1640727363c8bf36972e1505e2713467b6f3a8d635cd7cb4d6ee96affe55b

Observation c1d92f52-d660-477a-80e0-d579493d1d68 · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines YOLO-UniOW: Efficient Universal Open-World Object Detection

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:23.217286Z

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=2026-06-27T20:07:49.478014Z digest=sha256:ef7a61830c7e0b8bb97831b9fad21b777dd664d4e341b604b843b29fe247f8be