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Paper Citation Record · LEDGER

DEIM: DETR with Improved Matching for Fast Convergence

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2412.04234.

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

pith.paper-citation-record.v1
2412.04234 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:42:13.155651Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:03:25.806273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.841177Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a228b1b-3d80-443e-acf9-473f20665d1c · outbound

This paper cites Yolov4: Optimal speed and accuracy of object detection.

DEIM: DETR with Improved Matching for Fast Convergence Yolov4: Optimal speed and accuracy of object detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.521585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation caa34c83-0b12-4102-ada1-fe9464227579 · outbound

This paper cites Align-detr: Improving detr with sim- ple iou-aware bce loss.

DEIM: DETR with Improved Matching for Fast Convergence Align-detr: Improving detr with sim- ple iou-aware bce loss

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.514383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 76c96035-865b-4906-893e-b57e6eb4f256 · outbound

This paper cites End-to- end object detection with transformers.

DEIM: DETR with Improved Matching for Fast Convergence End-to- end object detection with transformers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.506615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9b3cbd46-a9a0-477b-b5d8-ce90936f6e5d · outbound

This paper cites Group detr: Fast detr training with group-wise one-to-many assignment.

DEIM: DETR with Improved Matching for Fast Convergence Group detr: Fast detr training with group-wise one-to-many assignment

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.499040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.027222Z digest=sha256:12065903e274cfaa47533e065785cdf3cbade7ab8c79cbc5ab89ac4791870eda

Observation fcc07c2b-a7a0-4b6d-b46b-e457fb35453b · outbound

This paper cites Monocular 3d object de- tection for autonomous driving.

DEIM: DETR with Improved Matching for Fast Convergence Monocular 3d object de- tection for autonomous driving

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.491927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 453993c9-ebc8-40be-9372-f73ec22bc96c · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.

DEIM: DETR with Improved Matching for Fast Convergence Multi-view 3d object detection network for autonomous driving

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.484439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation abfa6ec1-0ce5-486c-a530-77d7e1792a1b · outbound

This paper cites Dynamic detr: End-to- end object detection with dynamic attention.

DEIM: DETR with Improved Matching for Fast Convergence Dynamic detr: End-to- end object detection with dynamic attention

Reference 7

Resolution
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raw_fallback, observed 2026-08-11T21:42:13.477211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 21acddf1-8368-401c-87d1-daa37449f6ab · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

DEIM: DETR with Improved Matching for Fast Convergence Imagenet: A large-scale hierarchical image database

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T21:42:13.039678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:42:13.039678Z digest=sha256:2be65676cfae55a7baff4da4001ac25fea063ff58ba621d9c975e8976cf11e8a

Observation e36e331d-9159-4aea-9cb3-3b3d5518ad57 · outbound

This paper cites Object detection and tracking for autonomous navigation in dynamic environments.

DEIM: DETR with Improved Matching for Fast Convergence Object detection and tracking for autonomous navigation in dynamic environments

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.465634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b4d61757-a038-460a-96ac-904c505c1ff3 · outbound

This paper cites Tood: Task-aligned one-stage object de- tection.

DEIM: DETR with Improved Matching for Fast Convergence Tood: Task-aligned one-stage object de- tection

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.458256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 545a5155-490e-46d7-9e7e-d8d960f7552b · outbound

This paper cites Fast convergence of detr with spatially modulated co-attention.

DEIM: DETR with Improved Matching for Fast Convergence Fast convergence of detr with spatially modulated co-attention

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.450855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dc586bfe-4225-45e6-8920-17557430aa0b · outbound

This paper cites an unresolved cited work.

DEIM: DETR with Improved Matching for Fast Convergence Unresolved cited work

Reference 12

Resolution
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raw_fallback, observed 2026-08-11T21:42:13.443632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2fa9a651-6407-4c72-aab9-c8ff05341ca9 · outbound

This paper cites an unresolved cited work.

DEIM: DETR with Improved Matching for Fast Convergence Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:42:13.436774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7045f4bf-b7a4-409a-8dd1-8bef854f44eb · outbound

This paper cites Deep residual learning for image recognition.

DEIM: DETR with Improved Matching for Fast Convergence Deep residual learning for image recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T21:42:13.055910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:42:13.055910Z digest=sha256:ac242d6f2c0c74f7063794587f2937c82f18acf0cad36a931ac1f7b92d240179

Observation a2fa0862-687b-4a39-8cf9-e14c11a7df8f · outbound

This paper cites Detrs with hybrid matching.

DEIM: DETR with Improved Matching for Fast Convergence Detrs with hybrid matching

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.425757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1ec0d22a-a4e9-49f6-8b4a-47d386e8445f · outbound

This paper cites The hungarian method for the assignment problem.

DEIM: DETR with Improved Matching for Fast Convergence The hungarian method for the assignment problem

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.418889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 38dfab10-c613-453d-bbe6-857a4b0167f6 · outbound

This paper cites Lite detr: An interleaved multi-scale encoder for efficient detr.

DEIM: DETR with Improved Matching for Fast Convergence Lite detr: An interleaved multi-scale encoder for efficient detr

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.411699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e4b00882-0eb9-4db0-a54c-643ccc7393cf · outbound

This paper cites Dn-detr: Accelerate detr training by intro- ducing query denoising.

DEIM: DETR with Improved Matching for Fast Convergence Dn-detr: Accelerate detr training by intro- ducing query denoising

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T21:42:13.404235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 374719f2-90dd-459d-b334-91fd2d328dd7 · outbound

This paper cites Focal loss for dense object detection.

DEIM: DETR with Improved Matching for Fast Convergence Focal loss for dense object detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T21:42:13.069213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:42:13.069213Z digest=sha256:ff1dd8c49d9dfc9aa5c537f5c060c3f1fa093e0ed6301ab5c8fffd0cbf6fc802

Observation 1379c296-9b19-44c5-abb8-5131d6138d90 · outbound

This paper cites Microsoft coco: Common objects in context.

DEIM: DETR with Improved Matching for Fast Convergence Microsoft coco: Common objects in context

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.392152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a821092a-3737-46d5-b9a2-25fb6d3f05a2 · outbound

This paper cites Dab-detr: Dynamic an- chor boxes are better queries for detr.

DEIM: DETR with Improved Matching for Fast Convergence Dab-detr: Dynamic an- chor boxes are better queries for detr

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.385390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fe2a31e6-77eb-4774-93f9-f2637b8d9623 · outbound

This paper cites Detection transformer with stable matching.

DEIM: DETR with Improved Matching for Fast Convergence Detection transformer with stable matching

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.378358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4aaeec99-574e-447e-b8e1-224a8d74952f · outbound

This paper cites Decoupled weight decay regularization.

DEIM: DETR with Improved Matching for Fast Convergence Decoupled weight decay regularization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.371388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2a8095d2-a902-40b3-ac4c-b09eff47e2cd · outbound

This paper cites Rt-detrv2: Improved base- line with bag-of-freebies for real-time detection transformer.

DEIM: DETR with Improved Matching for Fast Convergence Rt-detrv2: Improved base- line with bag-of-freebies for real-time detection transformer

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.363702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 29fa968d-adbf-4116-bc53-1d645a7ddc62 · outbound

This paper cites Rtmdet: An empirical study of designing real-time object detectors.

DEIM: DETR with Improved Matching for Fast Convergence Rtmdet: An empirical study of designing real-time object detectors

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.356750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cd5a9de1-2b7c-4d61-916b-f8bd5c002afc · outbound

This paper cites Conditional detr for fast training convergence.

DEIM: DETR with Improved Matching for Fast Convergence Conditional detr for fast training convergence

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.349944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.086604Z digest=sha256:568f96f83c20aca54201505a99570e1140e5388b5e7b956e6d8de13e34a429d2

Observation e977c400-1619-4e69-b4ac-7b2e16aea074 · outbound

This paper cites D-fine: Redefine regression task in detrs as fine-grained distribution refinement.

DEIM: DETR with Improved Matching for Fast Convergence D-fine: Redefine regression task in detrs as fine-grained distribution refinement

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.342919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.089082Z digest=sha256:01be0e9c654dcfa4d368c90b8a8af64f8fac8b0ce669828e534a5d7a5f3fbccc

Observation 885769a9-a650-45fd-8936-bde700747995 · outbound

This paper cites You only look once: Unified, real-time object detection.

DEIM: DETR with Improved Matching for Fast Convergence You only look once: Unified, real-time object detection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.336152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.091485Z digest=sha256:e49250d6e870aa0e7c79dd6eda0b0e92a269efe029bf2310a43b84692214633b

Observation e88e481e-1d3b-44fd-94cd-54b03899c2dc · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

DEIM: DETR with Improved Matching for Fast Convergence Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.329201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.094123Z digest=sha256:0c7e7656afa4f53ee008ad347c6837a630d40a171f7e97bf3cdf8b729a91ac60

Observation 120cc65a-8c48-4b32-a000-a1038dfa38b8 · outbound

This paper cites Crowdhuman: A benchmark for detecting human in a crowd.

DEIM: DETR with Improved Matching for Fast Convergence Crowdhuman: A benchmark for detecting human in a crowd

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.322241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.096506Z digest=sha256:7f371c858649129301b7d99a52fcc01501b518a21b451fe7512b6d1da78f72ce

Observation 5290a068-9e1a-45a0-8d8e-5613697844cf · outbound

This paper cites Fully convolutional one-stage 3d object detection on lidar range images.

DEIM: DETR with Improved Matching for Fast Convergence Fully convolutional one-stage 3d object detection on lidar range images

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.315243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.099545Z digest=sha256:d6ea39ea99b09ab3fbf1fb58932721ee90621dd7319069d45114a18dbc651b8f

Observation 07cd1829-1bc3-4ce9-8858-d3a8702a8d54 · outbound

This paper cites Yolov10: Real-time end-to- end object detection.

DEIM: DETR with Improved Matching for Fast Convergence Yolov10: Real-time end-to- end object detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.308352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.102777Z digest=sha256:ecbbe66678fb419afad45728efd604a4db0f0357dc5e24e92b0597c0b0f8e350

Observation f80f9ab2-1f6b-4d6d-a3c9-dc9d41c80319 · outbound

This paper cites Gold-yolo: Ef- ficient object detector via gather-and-distribute mechanism.

DEIM: DETR with Improved Matching for Fast Convergence Gold-yolo: Ef- ficient object detector via gather-and-distribute mechanism

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.300926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.105474Z digest=sha256:6d07ea31c96ad648a46e90be13a7928a13d5857b34da3b790e2588cbb966dcad

Observation b5698a48-694b-4f46-a2c3-5cf8112fe06d · outbound

This paper cites Yolov9: Learning what you want to learn using pro- grammable gradient information.

DEIM: DETR with Improved Matching for Fast Convergence Yolov9: Learning what you want to learn using pro- grammable gradient information

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.293975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.107789Z digest=sha256:f13676bcb6d0fd2be6d12481d61ccb9205bfdd8c87eab3526cdefbbf3caa06ba

Observation 93d0c68b-577c-4ee8-8a8c-6b114e7c58f0 · outbound

This paper cites Anchor detr: Query design for transformer-based detector.

DEIM: DETR with Improved Matching for Fast Convergence Anchor detr: Query design for transformer-based detector

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.287081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.110804Z digest=sha256:3f83a748395beb040992b5a27508c5e2620fe832bb67bd1351a2eafe0d0ad2e0

Observation ffc3d6e2-f2e5-4e59-a94c-d79fbf7d6119 · outbound

This paper cites Efficient detr: improving end-to-end object detector with dense prior.

DEIM: DETR with Improved Matching for Fast Convergence Efficient detr: improving end-to-end object detector with dense prior

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.280078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.113906Z digest=sha256:b3b57f8780929b25b50da5cfe7a9ae9dbf36dbb5eba8d69a8e216fca16379e2f

Observation b7e1e4d9-8736-4126-acbb-8faaf9382422 · outbound

This paper cites Cascade-detr: delv- 9 ing into high-quality universal object detection.

DEIM: DETR with Improved Matching for Fast Convergence Cascade-detr: delv- 9 ing into high-quality universal object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.273475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.117223Z digest=sha256:6f27b17fa2e344746497d28c98e2aa4ab7bda46ba32427e53efcd8dc4d59a9a6

Observation 921087b3-07b8-4147-b779-d916945785bc · outbound

This paper cites mixup: Beyond empirical risk minimization.

DEIM: DETR with Improved Matching for Fast Convergence mixup: Beyond empirical risk minimization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.265682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.119962Z digest=sha256:028061938819f63587281328ca67b9a3dac38647b4bd9048486f8df47a03f619

Observation 7a98ca93-c306-4bff-a9f0-9ef30ea28f9b · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection.

DEIM: DETR with Improved Matching for Fast Convergence Dino: Detr with improved denoising anchor boxes for end-to-end object detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.259011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.123140Z digest=sha256:310340ffa3191cf3a56832ee685be895299e2cb952d336268bbf1e0c17aa35a6

Observation bbca6a88-533d-45aa-bb6f-3e3f967fd5fb · outbound

This paper cites Varifocalnet: An iou-aware dense object detector.

DEIM: DETR with Improved Matching for Fast Convergence Varifocalnet: An iou-aware dense object detector

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.252202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.125728Z digest=sha256:357e44164cb744250e3d91e66a6f24401e3c705173db7014baf7756326642036

Observation 2873023b-b4bc-404b-aa8f-4e4051d06033 · outbound

This paper cites Dense distinct query for end-to-end object detection.

DEIM: DETR with Improved Matching for Fast Convergence Dense distinct query for end-to-end object detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.244929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.128084Z digest=sha256:170ccb6f6ef3398f171844112a686a433f5d03cd7648c07963b91c604f0cb743

Observation 1af2e0fe-bbf5-4300-afa5-55d766da5096 · outbound

This paper cites Ms-detr: Efficient detr training with mixed supervision.

DEIM: DETR with Improved Matching for Fast Convergence Ms-detr: Efficient detr training with mixed supervision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.238037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.130862Z digest=sha256:4987009a93b925547b8d4dc58c9b062ef7364af0cc9b5a88caa0d4f6f4898ded

Observation 5d838e17-c9d2-4856-be88-45133ce5cb7a · outbound

This paper cites Detrs beat yolos on real-time object detection.

DEIM: DETR with Improved Matching for Fast Convergence Detrs beat yolos on real-time object detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.230950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.133855Z digest=sha256:1677b1f30d72136348b7128605da7b8497d034724119777c4b8e613b95d788b4

Observation 7b8990bb-6c2c-4c27-8a79-cf5587811fa3 · outbound

This paper cites Yolox: Exceeding yolo series in 2021.

DEIM: DETR with Improved Matching for Fast Convergence Yolox: Exceeding yolo series in 2021

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.223810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.136790Z digest=sha256:7b1323e913e48b362be151f57cc13a6474435f62340e87b481cb4658cc408355

Observation 94c1148d-4a04-4cfb-87a2-8a6f3c086992 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

DEIM: DETR with Improved Matching for Fast Convergence Deformable detr: Deformable transformers for end-to-end object detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.216326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.140238Z digest=sha256:8d73c6bd88fc0fb217f35cc5387f0093aeed92f6eed3ec84e440995a13b3778e

Observation 5d69f179-5480-40c1-94fd-4af35d1990a7 · outbound

This paper cites Detrs with col- laborative hybrid assignments training.

DEIM: DETR with Improved Matching for Fast Convergence Detrs with col- laborative hybrid assignments training

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.208508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.143156Z digest=sha256:9e2db9c3bd7a974003af87539d1a671eeb6e7902dbf0d3a088dcd9ad0fbb387b

Observation 8bb55fb9-fd4f-46fa-a5d1-b80bd8b2c645 · outbound

This paper cites We evaluate our method on the COCO [20] dataset, training DEIM on train2017 and validating it on val2017.

DEIM: DETR with Improved Matching for Fast Convergence We evaluate our method on the COCO [20] dataset, training DEIM on train2017 and validating it on val2017

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.201217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.146326Z digest=sha256:b3377fd419fe35a7b4b3289900ed662628409892993907e35969a6dfe3a340cf

Observation 8e9905c2-9167-461c-8dcc-d41146a13e0b · outbound

This paper cites Based on the strong real-time detectors RT- DETRv2 [24] and D-FINE [27], our DEIM achieves sig- nificant improvements across the board.

DEIM: DETR with Improved Matching for Fast Convergence Based on the strong real-time detectors RT- DETRv2 [24] and D-FINE [27], our DEIM achieves sig- nificant improvements across the board

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:42:13.193516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.149546Z digest=sha256:bede1410bdcbbc38e2c0663d9d81cc26c8617f26d85461893d00fb413352e33b

Observation 22eb69b5-e40b-420c-8467-599ba3495a30 · outbound

This paper cites an unresolved cited work.

DEIM: DETR with Improved Matching for Fast Convergence Unresolved cited work

Reference 49

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T21:42:13.184734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.152678Z digest=sha256:9ea473dd4bb5570171bd5fba808de2632cfc53e9a06a99742058ebadef6433a9

Observation 56f3a81c-a4de-43eb-b1d6-4649edfdf553 · outbound

This paper cites an unresolved cited work.

DEIM: DETR with Improved Matching for Fast Convergence Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:42:13.177043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T21:42:13.155651Z digest=sha256:06ef41e8c2e3f1a662df80b23861258706e9dd5afb25df912b20149001e5980b

Pith citing papers

Observation 7a74ed33-14cc-4d96-b44a-fac9e285fe18 · inbound

Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection cites this paper.

Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection DEIM: DETR with Improved Matching for Fast Convergence

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:25.806273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:03:25.806273Z digest=sha256:6cfcfdaed7c416eb4e91d8adc96125af10d678d28d048a3d174205ede7d5a75b

Observation 3aa60558-abb5-40dd-a387-de5bd285d417 · inbound

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection cites this paper.

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection DEIM: DETR with Improved Matching for Fast Convergence

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.039966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T17:03:04.479692Z digest=sha256:3d908ec7e64461d149fcbde6aa888f3e060badffc395d6c903b58e1cf44806ef

Observation b24654eb-14ac-427c-a289-dddcf5692d27 · inbound

From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection cites this paper.

From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection DEIM: DETR with Improved Matching for Fast Convergence

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:19:47.842667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T08:55:27.386758Z digest=sha256:62823986ac8ed1c29878cd64f1d22a532d57c6ee7781c2427984b94d1ffe783a