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Paper Citation Record · LEDGER

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling

As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2607.03004.

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

pith.paper-citation-record.v1
2607.03004 v1

Coverage vector

measured 58 of 58 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-12T05:31:12.070781Z

measured 58 of 58 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

58 of 58 outbound references displayed

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Outbound references

Observation 5e5a45ca-5622-4ad0-a1dc-9baa0c441af9 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition

Reference 1

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Observation 82f9554e-c5a7-4dfd-a1f1-e13fc8f5cfdf · outbound

This paper cites In: European conference on computer vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European conference on computer vision

Reference 2

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Observation 8c1399f9-7a71-4bf8-976f-54649625afc2 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the European conference on computer vision (ECCV)

Reference 3

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Observation a120dd33-0b75-45d4-9779-ffb7dfd18537 · outbound

This paper cites One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 4

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Observation 5e823516-e69e-4310-a9f3-854997de7e19 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Vision Transformer Adapter for Dense Predictions

Reference 5

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Observation bf1790e1-f6eb-4889-8bc6-6c1449b1279a · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: 2009 IEEE conference on computer vision and pattern recognition

Reference 6

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Observation aa220a43-1a95-45c9-865f-0fe6a0c0fe93 · outbound

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

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 7

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Observation 861da6a6-4a7c-4a86-b66d-dea2f323fd93 · outbound

This paper cites In: Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques, pp.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques, pp

Reference 8

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This paper cites Advances in Neural Information Processing Systems35, 10629–10642 (2022).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Advances in Neural Information Processing Systems35, 10629–10642 (2022)

Reference 9

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Unresolved cited work

Reference 10

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This paper cites In: European Conference on Computer Vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European Conference on Computer Vision

Reference 11

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Observation a4ed7da4-1a9d-4e62-b1d9-eae059e54add · outbound

This paper cites In: European Conference on Computer Vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European Conference on Computer Vision

Reference 12

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 13

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 14

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This paper cites In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition

Reference 15

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling ICLR1(2), 3 (2022)

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Observation 34954105-0b33-4cb3-accf-6da33b505e25 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 17

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Observation 6848b6ea-c67b-4b36-9f2f-9e66f690c3d7 · outbound

This paper cites In: European conference on computer vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European conference on computer vision

Reference 18

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European Conference on Computer Vision

Reference 20

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence44(12), 9209–9216 (2021).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling IEEE Transactions on Pattern Analysis and Machine Intelligence44(12), 9209–9216 (2021)

Reference 21

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This paper cites Proceedings of the national academy of sciences114(13), 3521–3526 (2017) 22 H.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Proceedings of the national academy of sciences114(13), 3521–3526 (2017) 22 H

Reference 22

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Observation 446ebd93-29ab-4c90-a35c-0186908ad954 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2024).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling IEEE Transactions on Circuits and Systems for Video Technology (2024)

Reference 23

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This paper cites In: European Conference on Computer Vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European Conference on Computer Vision

Reference 24

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European conference on computer vision

Reference 25

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This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H

Reference 26

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This paper cites Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning

Reference 27

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 28

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This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the 30th ACM International Conference on Multimedia

Reference 29

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European conference on computer vision

Reference 30

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Sankhy¯ a: The Indian Journal of Statistics, Series A (2008-)80, pp

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European conference on computer vision

Reference 32

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling IEEE Transactions on Geoscience and Remote Sensing (2025)

Reference 33

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Advances in Neural Information Processing Systems37, 97476–97498 (2024)

Reference 34

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

Reference 35

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Observation e10e65a2-d2b2-4900-9980-c323ff1c8a18 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence39(6), 1137–1149 (2016).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling IEEE transactions on pattern analysis and machine intelligence39(6), 1137–1149 (2016)

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Observation 5947acb6-1390-4286-81c5-fce038388d58 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence35(7), 1757–1772 (2012).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling IEEE transactions on pattern analysis and machine intelligence35(7), 1757–1772 (2012)

Reference 37

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Observation 77183986-652b-408d-b320-7d92f9d45f65 · outbound

This paper cites In: Proceedings of the IEEE international confer- ence on computer vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE international confer- ence on computer vision

Reference 38

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Observation 0e5877af-47b5-45db-a789-756367c40e0e · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 39

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Observation e2ecbbe7-a39e-4efe-b6fa-8c48449ea142 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (October 2019).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (October 2019)

Reference 40

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Observation 2dcf71b9-75f1-47fb-b697-d59024dc7c0f · outbound

This paper cites In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Reference 41

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Observation aed9428d-393f-46e0-8b60-c8dac728636e · outbound

This paper cites Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning

Reference 42

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Observation 96bad61b-3b54-4a4c-8184-1f9a73030218 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2023.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Findings of the Association for Computational Linguistics: EMNLP 2023

Reference 43

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Observation 827bcc69-8ef1-490f-a449-25b80cb753f0 · outbound

This paper cites In: Findings of the Associ- ation for Computational Linguistics: NAACL 2025.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Findings of the Associ- ation for Computational Linguistics: NAACL 2025

Reference 44

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Observation 16a2dd23-7f2c-4665-968d-e90e1e0cddd9 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 45

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Observation c67b0da9-532a-492b-b7d7-d457142b773c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 46

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Observation 1494b509-f060-4851-b126-32e79c3191e6 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision

Reference 47

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Observation 50d11bae-493f-45a7-ac41-24b0b156d88a · outbound

This paper cites In: Proceedings of the 3rd international workshop on human- centric multimedia analysis.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the 3rd international workshop on human- centric multimedia analysis

Reference 48

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Observation d32fec4f-89bb-4583-a0d1-30d8948f4723 · outbound

This paper cites In: European conference on computer vision.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: European conference on computer vision

Reference 49

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Observation 25868c26-31b5-40d2-85ed-39ff961b6a24 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters21, 1–5 (2024).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling IEEE Geoscience and Remote Sensing Letters21, 1–5 (2024)

Reference 50

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Observation a6023758-347d-4272-a582-50499c8b5fd0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 51

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Observation ca111ea2-a2eb-4006-88bc-4272a17767b1 · outbound

This paper cites Open-World Object Detection via Discriminative Class Prototype Learning.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Open-World Object Detection via Discriminative Class Prototype Learning

Reference 52

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Observation 3cc3499e-b76d-4d28-ae5c-ab48e9fd36e7 · outbound

This paper cites LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 53

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Observation 5d5aa7e0-87c1-4a51-9881-b7e8e8abc463 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 54

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Observation 961518f5-275f-49f0-9f57-e0bcde103738 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 55

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Observation bbe9bd06-5720-4afe-8154-1390fa776312 · outbound

This paper cites C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models

Reference 56

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Observation 54f7fb25-a10f-4ad6-b546-98de9932803b · outbound

This paper cites an unresolved cited work.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Unresolved cited work

Reference 57

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Observation ee1927c5-c455-4e14-93f6-873a5ea32a25 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition

Reference 58

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Pith citing papers

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