Pith. sign in

Paper Citation Record · LEDGER

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.01305.

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

pith.paper-citation-record.v1
2203.01305 v3

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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:55:39.029769Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:57:06.948991Z

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 b140a84c-bf05-4366-9c34-3ff27ecfbb42 · inbound

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection cites this paper.

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:53:25.605907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T19:53:25.499901Z digest=sha256:9a157cd36a301c54af70419c771aaff640b9d3e41ea782815f08599eaf932e12

Observation 781f7edc-6bd8-48af-9107-2a7565b3fed2 · inbound

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert cites this paper.

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T13:55:39.029769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:55:39.029769Z digest=sha256:5ff5952f32fecded091db1401864b25f3378c4a8c0c89df117d9342e7e071ce2

Observation cd63fa1e-d9d3-4655-be20-21b8f1bca561 · inbound

Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models cites this paper.

Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T20:25:43.076119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:25:43.076119Z digest=sha256:698281ec108270870e5b4672b8de4e4b2ec4c7a30ce081da4d84bdb8f2f29889

Observation e64b8e0a-2984-47d4-861d-8df879f319ae · inbound

MalariAI: A Label-Resilient Decoupled Framework for Annotation-Agnostic Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears cites this paper.

MalariAI: A Label-Resilient Decoupled Framework for Annotation-Agnostic Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.305953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T04:50:36.814043Z digest=sha256:fde079bc7ba5c4b4b650d9ab66028fd35292881071a2c195e7617d42d2d456ce

Observation 7f3db030-5760-4788-8fdf-e27aedfdfe1e · inbound

LOGOS: Language-guided Oriented Object Detection in Aerial Scenes cites this paper.

LOGOS: Language-guided Oriented Object Detection in Aerial Scenes DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T13:57:06.950496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-10T13:53:35.738676Z digest=sha256:ee282e7c2110de16eb2c4399b8ff20656ab635efd9c99dd56baed41e84334c95