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Paper Citation Record · LEDGER

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection

As of 9 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.17340.

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

pith.paper-citation-record.v1
2607.17340 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:23:32.881008Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

61 of 61 outbound references displayed

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  • verified fuzzy0
  • unresolved61
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fe6ec55-493a-4d25-ace2-c7c589239fde · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 1

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Observation f76869ce-3856-4891-93de-23eed28679f3 · outbound

This paper cites The Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection The Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection

Reference 2

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source=pdf_text observed=2026-08-01T18:23:26.515073Z digest=sha256:3ccc8153ea1714fd14a7d9eb8284d6843f55549a5e49f710cf2c1e9cd6a4e79d

Observation 00c27fc4-66f4-482c-ae7f-755268711ed0 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Efficient Lifelong Learning with A-GEM

Reference 3

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Observation 30e39c9a-2fbb-467b-a07d-fde9dd503969 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 4

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source=pdf_text observed=2026-08-01T18:23:26.877862Z digest=sha256:6631add6de6bd113c1e65b51dbb0a96aaf1d6bcd30c4da1d059681786e3197ee

Observation 08e0b1ea-1c4e-4802-87ff-d831a7127b0e · outbound

This paper cites In: IEEE TCSVT.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: IEEE TCSVT

Reference 5

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source=pdf_text observed=2026-08-01T18:23:27.017737Z digest=sha256:d845f8c4626824b4cf89d7dfe692ae8adb3208adf64f9311cbced6dbbf84bfad

Observation e652d84f-f5c8-42d5-9ca7-96db4b4eaf93 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 6

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source=pdf_text observed=2026-08-01T18:23:27.140179Z digest=sha256:52983469ce2315f154e7e26a5543319acf4b16608cf57043dfddf3a12513cada

Observation 1734efdc-29d7-429c-9993-16f732d5c9c8 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 7

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source=pdf_text observed=2026-08-01T18:23:27.284561Z digest=sha256:cc96c7c66cc9ebcc1c5045a7b789ea0c3ca242297c96f61f18f8ac3eaf393d5f

Observation 7d07c8dd-5119-4213-ae8d-1b6f5c47a2fb · outbound

This paper cites an unresolved cited work.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Unresolved cited work

Reference 8

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Observation 3832d4dd-9fdb-4596-87b3-628c5a31e512 · outbound

This paper cites In: IJCV.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: IJCV

Reference 9

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Observation 7b9f759d-4926-4b1b-838a-4db19182b8c3 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 10

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source=pdf_text observed=2026-08-01T18:23:27.666958Z digest=sha256:9f4247abc5af585718993a654c8e960aa1bfa0ba1601b9139de3c999ad10573e

Observation 44d6323a-0671-440e-8481-885e7457649a · outbound

This paper cites an unresolved cited work.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Unresolved cited work

Reference 11

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Observation 83d5d4f9-a981-4a1a-892f-22634b139475 · outbound

This paper cites In: ICML.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ICML

Reference 12

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source=pdf_text observed=2026-08-01T18:23:27.952541Z digest=sha256:49b69c1de953ffab5eb7b91fe76f8ca839ce7a28164e09eb0a6bb8c63a7d6bb8

Observation 80eb2ed9-fa15-42b8-a2c2-5f37da93f0d5 · outbound

This paper cites In: ICME.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ICME

Reference 13

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source=pdf_text observed=2026-08-01T18:23:28.014498Z digest=sha256:8ddf06da5cf782dc65a232094c864eee4e336f26149bfc7e0a1a77f0eb58bd59

Observation eefbee6a-303a-4493-9329-2428a1cece00 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 14

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Observation cab1f2f2-d9c9-4b94-bd71-72cb1a4ace4d · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 15

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Observation 4fa79bc3-391d-41ec-b0f2-7143d67db323 · outbound

This paper cites In: NeurIPS.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: NeurIPS

Reference 16

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Observation 3e847514-fe0c-43f6-87a0-50471882e2da · outbound

This paper cites In: AAAI.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: AAAI

Reference 17

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Observation e1779504-9287-4b8d-ae78-15dc0a7aef38 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 18

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Observation 7e735d12-2044-488f-87e7-662678f0ef87 · outbound

This paper cites In: ECCV.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ECCV

Reference 19

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Observation 561a2adf-6d75-4ede-b13f-666190e65f56 · outbound

This paper cites IEEE TPAMI45(7), 9022–9040 (2023).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection IEEE TPAMI45(7), 9022–9040 (2023)

Reference 20

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Observation ae55aefe-8394-4501-8c96-0325213caaf5 · outbound

This paper cites In: ECCV.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ECCV

Reference 21

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Observation feadff27-8e46-42ac-9703-a841486b331d · outbound

This paper cites In: IEEE TPAMI.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: IEEE TPAMI

Reference 22

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Observation 7c5e9d35-c49b-4770-8aad-9960849d491b · outbound

This paper cites In: ICML.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ICML

Reference 23

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Observation 2389d190-8caa-48c4-ba7f-0e690059c2d8 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 24

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Observation 034262ad-8091-4721-96ab-6eae7ed1c65a · outbound

This paper cites In: ICML.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ICML

Reference 25

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Observation e72caeff-90b6-4c40-aa90-299aaa7a5674 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 26

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Observation 4cc4c125-1f77-41c2-a394-f90b7ddfce58 · outbound

This paper cites In: CVIU.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVIU

Reference 27

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Observation 7827bea5-6ade-4b48-a993-49b938e7d19f · outbound

This paper cites In: NeurIPS.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: NeurIPS

Reference 28

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Observation 17cdca75-8a95-4f11-9f01-5ffbe54ed83b · outbound

This paper cites In: NeurIPS.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: NeurIPS

Reference 29

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Observation 61483427-04dd-4a79-96df-d55dde8e339a · outbound

This paper cites Gradient Projection Memory for Continual Learning.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Gradient Projection Memory for Continual Learning

Reference 30

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Observation 50cce8ff-5ecc-43d7-acac-884b4b561b32 · outbound

This paper cites In: CVPR (June 2019).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR (June 2019)

Reference 31

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Observation 0f909e13-43a5-45b6-b324-6767b8a09a3e · outbound

This paper cites In: NeurIPS.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: NeurIPS

Reference 32

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Observation b12fc1f4-0940-4136-833c-20b98d1e64c2 · outbound

This paper cites In: AAAI.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: AAAI

Reference 33

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Observation 47ffb1fb-466b-453b-bee2-7f532c41d6c5 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 34

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Observation e239ae64-1d44-4a26-9265-b3372db5e872 · outbound

This paper cites Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

Reference 35

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Observation 6c6ab051-4409-4b29-9b7b-61dbd200f947 · outbound

This paper cites In: IEEE TCSVT.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: IEEE TCSVT

Reference 36

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Observation 8af87c07-8c08-4ec8-946a-bfd85e208d75 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 37

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Observation 846c42c4-68ac-4814-b0ca-9b5584772a3b · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 38

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Observation 1d79b024-a611-4d92-8668-6ecdb59e7afc · outbound

This paper cites In: ICLR (2022).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ICLR (2022)

Reference 39

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source=pdf_text observed=2026-08-01T18:23:30.798691Z digest=sha256:82734abd64575ce470450ecbcb3409ac4911542f99988ac92057619a27ede613

Observation 65334cc2-5a0a-4233-b02b-752bf966da42 · outbound

This paper cites PR137, 109319 (2023).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection PR137, 109319 (2023)

Reference 40

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Observation 582700ad-1745-4f17-8407-fd20bc654709 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 41

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Observation d9547ca5-c2ba-4b9d-a412-a54a7e0605c7 · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Orthogonal Subspace Learning for Language Model Continual Learning

Reference 42

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Observation b21ba79a-259a-443c-a398-c91f858e54fa · outbound

This paper cites In: NeurIPS.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: NeurIPS

Reference 43

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Observation 10e0ca2e-dbfc-4407-aeb8-cc1ea6760713 · outbound

This paper cites In: NeurIPS.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: NeurIPS

Reference 44

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Observation d566e17b-348a-4c0a-824f-9bfed2a3e43f · outbound

This paper cites In: ECCV.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ECCV

Reference 45

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source=pdf_text observed=2026-08-01T18:23:31.358467Z digest=sha256:3fa3655df5594e7dcd5437d6e5598604f264ae49c3bd407dc0204cf03718cf66

Observation ae6a597f-48ce-4476-93a6-c7170af12d51 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 46

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source=pdf_text observed=2026-08-01T18:23:31.467213Z digest=sha256:09c984975b17fdea59cf0d6a95ca411f01f1f75a5db36ab2a59cd49fe09bc7d9

Observation d5f9ab2f-ff8c-4edc-b4c1-68c9ec7a6696 · outbound

This paper cites In: AAAI.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: AAAI

Reference 47

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source=pdf_text observed=2026-08-01T18:23:31.559354Z digest=sha256:703b42ab85d28bb3e605ab4d083f2c6aa8bb1c832186b93a979224fa35979dca

Observation 73441076-7b65-4fba-9757-4ef1db629906 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 48

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Observation 3aa07d11-cab1-404e-9cfc-d15c79fe350c · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Multimedia.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: Proceedings of the 31st ACM International Conference on Multimedia

Reference 49

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source=pdf_text observed=2026-08-01T18:23:31.682851Z digest=sha256:c558a88273f1f39910f36acbe05476801ec90efe8da37fc8e9d37c4ed4c43b65

Observation b3f2a46b-083a-4ff4-b197-091620dda58c · outbound

This paper cites ACM Transac- tions on Multimedia Computing, Communications, and Applications18(1), 1–23 (2022) 18 A.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection ACM Transac- tions on Multimedia Computing, Communications, and Applications18(1), 1–23 (2022) 18 A

Reference 50

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source=pdf_text observed=2026-08-01T18:23:31.749195Z digest=sha256:c363498a404ee418914c1f7d4da8cd5e891a61b15ecb0cf8f34e14f6363b2a34

Observation 5489ce23-6abe-46f2-a9b9-4d94783031fe · outbound

This paper cites an unresolved cited work.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-01T18:23:31.850355Z digest=sha256:58ec26856c817c73de50b4592a62eae2c75f8d2a8b1f53ff43ff0d4d52889391

Observation 2ae1cb8d-df7a-4a58-8b05-114eb1f0f4ea · outbound

This paper cites In: ICCV.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: ICCV

Reference 52

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source=pdf_text observed=2026-08-01T18:23:31.953878Z digest=sha256:fe5b5c09e9a0a08d095fbd9155f188a74d577a361211ba272b2b83464bb41999

Observation 41db3b7f-36e7-4c53-b556-eeadebafd13a · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 53

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source=pdf_text observed=2026-08-01T18:23:32.057159Z digest=sha256:00e4e627666beb848acda5ca5dad13d7602aeac339b21abb54129f63f667c79f

Observation 79afd412-56fe-40a7-afc6-d6da20034809 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 54

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source=pdf_text observed=2026-08-01T18:23:32.189513Z digest=sha256:68a0674de13ba1356159d143e1d75b71eb193a3b34b38fc3d40f1f57f4e415a1

Observation 81a78330-e235-4367-85cd-c8eb8ff3f53b · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 55

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Observation c4a1163d-a264-4772-a982-c2d2a3b22c5f · outbound

This paper cites arXiv preprint arXiv:2606.15253 (2026).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection arXiv preprint arXiv:2606.15253 (2026)

Reference 56

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source=pdf_text observed=2026-08-01T18:23:32.375392Z digest=sha256:f727dfcd773b4fb9c9eb630ee586b7fcc9db8b954b973b4ecd4a48a38fbf32ac

Observation d9cc8405-46d6-4611-b8e8-0c58ac859c83 · outbound

This paper cites In: International Conference on Document Analysis and Recognition.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: International Conference on Document Analysis and Recognition

Reference 57

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source=pdf_text observed=2026-08-01T18:23:32.475159Z digest=sha256:2e32b80949afea5bf80c050a4afea2e8519783d0d40d430bd8887455a8ea2e2d

Observation b85ed0c2-36f9-4d7d-93d3-4aed7ed7a51b · outbound

This paper cites Visual Intelligence4(1), 15 (2026).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Visual Intelligence4(1), 15 (2026)

Reference 58

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source=pdf_text observed=2026-08-01T18:23:32.556671Z digest=sha256:736b51bc53f97b1f78178569968437597b100f8f482fd98c37e965f777881aa0

Observation 5fb93e71-a5f6-4870-a079-e416626198fb · outbound

This paper cites IEEE TPAMI (2024).

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection IEEE TPAMI (2024)

Reference 59

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source=pdf_text observed=2026-08-01T18:23:32.650016Z digest=sha256:710911c9acd464bc095c8047071af125cc6557828d628920b5cfce30efd5d833

Observation 55924a43-740c-4b45-8cea-beaf6af09bec · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 60

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source=pdf_text observed=2026-08-01T18:23:32.759496Z digest=sha256:3996f9f9633f82fa8e1e7ac7250f86e406cf9c1f4f30489995c1f82c60f45c77

Observation 124ee646-56ac-4521-9210-0a2d3ce90f72 · outbound

This paper cites In: CVPR.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection In: CVPR

Reference 61

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source=pdf_text observed=2026-08-01T18:23:32.881008Z digest=sha256:57449ccdf8001395907158d78bdc056f2b729f4db48979fc21a8bd84c3dc877f

Pith citing papers

No inbound Pith citation observations are available.