Paper Citation Record · LEDGER

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.08562.

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

pith.paper-citation-record.v1
2506.08562 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:36.060775Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy27
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa845143-c74a-480d-9d5d-493ff773ad0e · outbound

This paper cites RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:12:36.220951Z

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Observation db589891-d777-433c-8956-62c29e056d0e · outbound

This paper cites DETRs with Collaborative Hybrid Assignments Training.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection DETRs with Collaborative Hybrid Assignments Training

Reference 2

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Observation 0c999125-3e6c-438d-936f-1d4b19cab240 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.541989Z

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Observation e7b9e66c-98f5-4776-8f64-9ab8cf43b823 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.531092Z

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Observation 18533df8-f604-4838-8614-2ab6687b87f9 · outbound

This paper cites End-to-End Object Detection with Transformers.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection End-to-End Object Detection with Transformers

Reference 5

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Observation 42f83034-399e-49ca-87a1-ea560ec84aa5 · outbound

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

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:35.933856Z

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Observation 027f48ca-ab79-4c41-b5ff-9a50e4947671 · outbound

This paper cites In: Proceedings of the IEEE/CVF 14 Conference on Computer Vision and Pattern Recognition, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Proceedings of the IEEE/CVF 14 Conference on Computer Vision and Pattern Recognition, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.520708Z

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Observation e1fa847f-bcb6-497a-8c73-98f2e4e1272c · outbound

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

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 8

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Observation 670cc8be-cac3-466c-a671-a671bb4b8c1c · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:35.944600Z

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Observation 99ea406d-697f-4c54-bf82-68467d1e9e7e · outbound

This paper cites TPAMI40(12), 2935–2947 (2018).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection TPAMI40(12), 2935–2947 (2018)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.508387Z

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Observation 6a595927-f8a5-4c83-a71e-a039e860ea62 · outbound

This paper cites In: ECCV, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: ECCV, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.497859Z

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Observation 3cf6b8b5-52c6-43ec-94f9-015609c9e9d0 · outbound

This paper cites In: CVPR, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: CVPR, pp

Reference 12

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Observation c9cec7bc-1257-4bb7-81d8-a37a0c08e9d4 · outbound

This paper cites In: CVPR, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: CVPR, pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.475755Z

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Observation 0be88be2-3338-4cda-9aa2-e4e077057e8c · outbound

This paper cites In: CVPR, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: CVPR, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.465044Z

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Observation 1ad7f3f1-ec03-4133-88fd-30f39872d00b · outbound

This paper cites In: ICLR (2022).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: ICLR (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.452977Z

Source-reported events for the cited work

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Observation 578d37aa-e2d0-4be6-992a-15951755f7bf · outbound

This paper cites In: ECCV, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: ECCV, pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.442030Z

Source-reported events for the cited work

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Observation 62f1cb31-40a3-4afb-bf36-ff9963f15105 · outbound

This paper cites Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

Reference 17

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Source-reported events for the cited work

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Observation d80b2723-4de9-4781-a3e0-9f05452f045a · outbound

This paper cites Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:12:36.142494Z

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Observation ca25b476-ba89-47cd-8b0f-064ff1fbf389 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: European Conference on Computer Vision, pp

Reference 20

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Source-reported events for the cited work

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Observation d734bc66-4988-4474-9c95-bfe19e7089e9 · outbound

This paper cites Attention Is All You Need.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Attention Is All You Need

Reference 21

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Observation b7eea46f-387c-48b0-933e-e94b9f4a55ec · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.406145Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81f7ef1b-f39f-49dc-beb0-6c977e479af9 · outbound

This paper cites Advances in neural information processing systems28(2015).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Advances in neural information processing systems28(2015)

Reference 23

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Source-reported events for the cited work

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Observation a18c1247-111d-4465-b093-764ae8efb806 · outbound

This paper cites Advances in Neural Information Processing Systems33, 21002–21012 (2020).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Advances in Neural Information Processing Systems33, 21002–21012 (2020)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.387609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e6c6569-d687-46c0-8713-27cb4c4fd5b3 · outbound

This paper cites In: ICCV, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: ICCV, pp

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.376869Z

Source-reported events for the cited work

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Observation 6edd925d-5497-4f9d-8318-3d1d7d85a410 · outbound

This paper cites Pattern Recognition131, 108863 (2022).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Pattern Recognition131, 108863 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.366248Z

Source-reported events for the cited work

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Observation 3329ebd9-7229-44d2-bae9-81e86eda14ef · outbound

This paper cites Lifelong Object Detection.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Lifelong Object Detection

Reference 27

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Observation 4d539bcc-7f17-4de8-a60f-8b6aa0435937 · outbound

This paper cites In: CVPR, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: CVPR, pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.355908Z

Source-reported events for the cited work

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Observation 3dda4c7f-9d2f-44f5-b7e8-aefd90274d5d · outbound

This paper cites In: IJCNN, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: IJCNN, pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.344693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70abee14-893e-4742-bb5d-879eff1cd001 · outbound

This paper cites In: ICME, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: ICME, pp

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.332885Z

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Observation 3aca7f46-4d16-4c1a-9cc2-3d1aa5369d2b · outbound

This paper cites Pattern Recognition Letter140, 109–115 (2020).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Pattern Recognition Letter140, 109–115 (2020)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.322210Z

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Observation 14a74332-aa62-40b0-9a25-994192924fa1 · outbound

This paper cites In: CVPR, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: CVPR, pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.310623Z

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Observation d77fa787-8132-4bc9-94cd-4521adc40678 · outbound

This paper cites In: CVPR, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: CVPR, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.298006Z

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Observation 9a2e5eee-a665-4bd3-a6eb-5c20ed38020c · outbound

This paper cites Proceedings of the National Academy of 16 Sciences117(40), 24652–24663 (2020) https://doi.org/10.1073/pnas.2015509117.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Proceedings of the National Academy of 16 Sciences117(40), 24652–24663 (2020) https://doi.org/10.1073/pnas.2015509117

Reference 34

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Observation 2254702e-27d4-468f-9d3a-e91308c987d4 · outbound

This paper cites Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data

Reference 35

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Observation b620deaf-0c3c-452f-9ce0-aa9f80406b9b · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.286874Z

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Observation f061d35c-6d8f-4710-bccc-e40bbe6ca854 · outbound

This paper cites Naval research logistics quarterly2(1-2), 83–97 (1955).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Naval research logistics quarterly2(1-2), 83–97 (1955)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:36.043084Z

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Observation f4da4d76-179b-4ca0-9bf6-346904cd1491 · outbound

This paper cites In: Chen, S., Onishi, R., Ananthanarayanan, G., Li, Q.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Chen, S., Onishi, R., Ananthanarayanan, G., Li, Q

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.268833Z

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Observation 13375acd-f3ed-43aa-b667-f6a07d844782 · outbound

This paper cites CVIU 210, 103229 (2021).

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection CVIU 210, 103229 (2021)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.255815Z

Source-reported events for the cited work

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Observation 8d722a77-15e4-4e56-8cca-39fa3cabf7c9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.243788Z

Source-reported events for the cited work

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Observation 708f8026-70b2-4470-bc4d-8276c0ac10cc · outbound

This paper cites In: European Conference on Computer Vision, pp.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection In: European Conference on Computer Vision, pp

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.430738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d9c54c1-71a1-4382-bd61-790a0ce2f0cc · outbound

This paper cites Sensors22(12), 4389 (2022) 17.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection Sensors22(12), 4389 (2022) 17

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:36.232090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.