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Paper Citation Record · LEDGER

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.18746.

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

pith.paper-citation-record.v1
2504.18746 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:27.299824Z

measured 30 of 30 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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  • verified fuzzy23
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0afef030-3661-4b4a-a323-f5256784faf6 · outbound

This paper cites Barker, Neelanjan Bhowmik, and Toby P.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Barker, Neelanjan Bhowmik, and Toby P

Reference 1

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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 042ee490-d1c7-45ca-a757-6f78bdb1a0ef · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 5befadef-ab6c-4152-ab3f-9408518a1049 · outbound

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

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Imagenet: A large-scale hierar- chical image database

Reference 3

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Observation 9e73fa41-a8ea-42d3-ac23-d0037fcb2c73 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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Observation ec1e72d8-2c95-47e5-961b-4d5df30fc83b · outbound

This paper cites VOS: Learning What You Don't Know by Virtual Outlier Synthesis.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 5

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Observation 3991a969-a2cf-439a-a9ed-3d6019e45d9d · outbound

This paper cites Dream the impossible: Outlier imagination with dif- fusion models.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Dream the impossible: Outlier imagination with dif- fusion models

Reference 6

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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 008a8d3a-1a74-4c45-a37e-65388724dfe5 · outbound

This paper cites Williams, John Winn, and Andrew Zisserman.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Williams, John Winn, and Andrew Zisserman

Reference 7

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

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Observation cae6ab58-5476-4ab4-a81e-d193e9559925 · outbound

This paper cites Gaus, Neelanjan Bhowmik, Brian K.S.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Gaus, Neelanjan Bhowmik, Brian K.S

Reference 8

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

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Observation f12d6081-935b-4af9-9370-abbea362e89b · outbound

This paper cites Gaus, Brian K.S.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Gaus, Brian K.S

Reference 9

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

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Observation 133ef5a5-f39c-47ff-a320-c08bf48ed974 · outbound

This paper cites G ¨okstorp and Toby P.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection G ¨okstorp and Toby P

Reference 10

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Observation dc3844e9-d277-4c85-bb85-80ac90744cbd · outbound

This paper cites Deep residual learning for image recognition.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Deep residual learning for image recognition

Reference 11

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

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Observation 1e23470d-4cae-43b2-ab7c-6cfce09b1efa · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 08d90608-fcac-42b7-96bc-05629a76af16 · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data

Reference 13

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

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Observation b9a30881-e8ce-4a02-8899-6df94c89edee · outbound

This paper cites Towards open-world object-based anomaly detection via self- supervised outlier synthesis.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Towards open-world object-based anomaly detection via self- supervised outlier synthesis

Reference 14

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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 564bf703-5ac6-4d2a-9e15-e97169e6da48 · outbound

This paper cites Normalizing flow based feature syn- thesis for outlier-aware object detection.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Normalizing flow based feature syn- thesis for outlier-aware object detection

Reference 15

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

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Observation 422a8cdf-1b5c-4632-a3b9-bd16e05415b9 · outbound

This paper cites A simple unified framework for detecting out- of-distribution samples and adversarial attacks.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection A simple unified framework for detecting out- of-distribution samples and adversarial attacks

Reference 16

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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 823be117-4460-48aa-8797-457020b5e9be · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 17

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Observation 46cf91bd-89ae-4ce2-9721-fec8f9214edf · outbound

This paper cites Microsoft coco: Com- mon objects in context.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Microsoft coco: Com- mon objects in context

Reference 18

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

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Observation ca4125e6-93df-4181-8027-03312dd25602 · outbound

This paper cites Focal loss for dense object de- tection.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Focal loss for dense object de- tection

Reference 19

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

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Observation 27430377-175d-4761-8128-3d75344a60d2 · outbound

This paper cites Energy-based out-of-distribution detection.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Energy-based out-of-distribution detection

Reference 20

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

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Observation b36ef5e9-5a87-42ef-ae03-897e60482d25 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 21

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

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Observation 63781aa4-5300-495d-81c7-bd06c793a019 · outbound

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

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Faster r-cnn: Towards real-time object detec- tion with region proposal networks

Reference 22

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

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Observation 70b50bec-93cf-454a-a21b-0b920a547ec6 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection High- resolution image synthesis with latent diffusion mod- els

Reference 23

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

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Observation 68ce30ff-369a-41de-91b3-80206efa87f3 · outbound

This paper cites De- tecting out-of-distribution examples with gram matri- ces.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection De- tecting out-of-distribution examples with gram matri- ces

Reference 24

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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 183d3e80-1710-4c7e-a1fe-249c568c491a · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Resolution-robust large mask inpainting with fourier convolutions

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 87d1e422-4e97-4709-94c4-cd3175aa3129 · outbound

This paper cites Non-parametric outlier synthesis.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Non-parametric outlier synthesis

Reference 26

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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 8b86a2d7-43b0-469a-8c37-9854bf0a733a · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detec- tors.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detec- tors

Reference 27

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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 2721cc32-71d7-4aaa-a848-7ff38f0cb787 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models im- proves accuracy without increasing inference time.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Model soups: averaging weights of multiple fine-tuned models im- proves accuracy without increasing inference time

Reference 28

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raw_fallback, observed 2026-08-16T10:14:27.458056Z

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 88eb4363-29e3-490e-803a-39b5e9bcbd19 · outbound

This paper cites Generalized out-of-distribution detection: A sur- vey.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Generalized out-of-distribution detection: A sur- vey

Reference 29

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raw_fallback, observed 2026-08-16T10:14:27.440442Z

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=2026-08-16T10:14:27.294161Z digest=sha256:fd9a5fc3cf4d801c814007ebb1e98677c898fe4a5f6df6717e9fb6306acd4696

Observation 1b632e84-b440-4b03-ab42-15a0349fb9b6 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.