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Paper Citation Record · LEDGER

Detecting Twenty-thousand Classes using Image-level Supervision

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2201.02605.

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

pith.paper-citation-record.v1
2201.02605 v3

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 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:40.379129Z

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

15
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 6e7c4c14-2458-40d4-a742-a431e8eb647c · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Detecting Twenty-thousand Classes using Image-level Supervision

Reference 240

Resolution
verified exact
arxiv_id, observed 2026-05-13T09:41:38.107885Z

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=2026-05-13T09:41:37.937046Z digest=sha256:4f64ef05738fe3f713206a380c42bc20809c05f72aa0b98f0500fe01996f1a28

Observation 898f9bce-168f-457d-8223-e56704b7f07d · inbound

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data cites this paper.

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data Detecting Twenty-thousand Classes using Image-level Supervision

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:53:40.379129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:40.379129Z digest=sha256:82f433f5b42f9526b934c2332213fd4a53dd59f5b7d514243f25d2e666dc6272

Observation 9e11174b-5d81-4023-9ac9-76364b5adb2c · inbound

Robust and Label-Efficient Deep Waste Detection cites this paper.

Robust and Label-Efficient Deep Waste Detection Detecting Twenty-thousand Classes using Image-level Supervision

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.223915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.223915Z digest=sha256:c68eae2d7923b8e393813bbb5fc26b7fea6414880d8bf2116d3f81d05bdfb212

Observation 83426425-23cc-4cda-9fea-a1dd5ad18d78 · inbound

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors cites this paper.

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors Detecting Twenty-thousand Classes using Image-level Supervision

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T13:27:42.398904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:27:42.398904Z digest=sha256:9d8f684ff564b71d2455ee2846cbcba792594676c7fdd3b627b3ff03733f1b65

Observation 80869e66-3c02-432e-bde7-854b200fdd61 · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Detecting Twenty-thousand Classes using Image-level Supervision

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:33:16.764948Z

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=pdf_text observed=2026-05-13T20:30:16.163179Z digest=sha256:b59da1935d508853072548a375b6de56f5883dd6097b546ae1fb8a2653e70c97

Observation 693fec03-187f-4e52-8f4a-c5381a71f0f3 · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Detecting Twenty-thousand Classes using Image-level Supervision

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:49:29.330711Z

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=pdf_text observed=2026-05-14T21:48:49.892964Z digest=sha256:5a7d9fbe8eb7cf7a20ef8971e6becc5331e81570286acf0921687e8eebd576d0

Observation 4c851254-6e37-42cb-9b0b-6a202cf8d4d1 · inbound

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization cites this paper.

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization Detecting Twenty-thousand Classes using Image-level Supervision

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:50:58.253361Z

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=pdf_text observed=2026-05-10T16:28:16.315767Z digest=sha256:5fc5f7569a36b9d69bf694a0d5bdc629fb4553fd7a67e4565830b2bb3184bc01

Observation 5ba8248e-adf6-477d-ba66-3f2670221b28 · inbound

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis cites this paper.

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis Detecting Twenty-thousand Classes using Image-level Supervision

Reference 285

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:43:26.313732Z

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=2026-05-20T15:41:31.181025Z digest=sha256:791b1628fa8ea3e0e46d462a00fa9a9a62079fda233f0aacbc88972a7f6e06c0

Observation 1009d72e-89f0-4f07-8f58-2acef8cbc694 · inbound

ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing cites this paper.

ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing Detecting Twenty-thousand Classes using Image-level Supervision

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:57:38.648142Z

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=pdf_text observed=2026-06-27T13:30:30.477575Z digest=sha256:926bf139fe97f0039c7fd3aeea693bafc26f123c06580d219df8be31e93e9ec5