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Paper Citation Record · LEDGER

DiffusionDet: Diffusion Model for Object Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.09788.

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

pith.paper-citation-record.v1
2211.09788 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:02.845226Z

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

40
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 b005ba31-e47a-4d9a-8faa-90e9d99992c3 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory DiffusionDet: Diffusion Model for Object Detection

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:03:57.997786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:3f2d6156a8a2e502b38664f3fbd3eb9904e2cb49919ae04766a2a23cfe24020e

Observation 8261f965-bd40-48cb-9979-cb60972020a5 · inbound

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images cites this paper.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images DiffusionDet: Diffusion Model for Object Detection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:10.628962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:10.628962Z digest=sha256:b93909d1d0ae5ccbdc19db6129307113208516684bd975aa6ef4846691c28ac4

Observation cf810e96-7647-45f0-89ce-c4036b0690c1 · inbound

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models cites this paper.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models DiffusionDet: Diffusion Model for Object Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:02.845226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:02.845226Z digest=sha256:10604d17727ba13e5ca28e5dc82a2834e07765c6fa806fc9a079afe12338e806

Observation 2fdf076e-e891-43d4-b114-ef1ac38476bd · inbound

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning DiffusionDet: Diffusion Model for Object Detection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T22:03:09.607119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:03:09.607119Z digest=sha256:8afb5e31e8e3295ac6c39c262e824bfc1f56fd3c00b252e3ccd02bec7013e339