Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:07:09.337105Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 3 inbound Pith citation observations for arXiv:2507.23134.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:07:09.337105Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:26:01.940748Z
71 of 71 outbound references displayed
External citation measurements
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Observation f0f72009-c3bd-4118-9727-61d1718727d4 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation 3d seman- tic parsing of large-scale indoor spaces
Reference 1
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Observation bfa2bc6d-5eea-428b-92f1-bc1437adba60 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
Reference 2
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Observation be4baef7-d462-4850-b883-f5648a3736ea · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Zero-shot semantic segmentation.Advances in Neural Information Processing Systems, 32, 2019
Reference 3
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Observation 6284050b-7d70-4917-ba54-1da3e6d36a87 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Hierarchical aggregation for 3d instance segmentation
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Observation c86447d6-6af2-41e6-899a-e424ec38048f · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Yolo-world: Real-time open-vocabulary object detection
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Observation 64cbe05a-8abd-43c6-ac9f-a470e564b261 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening
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Observation d954d124-ae30-4d93-95c2-e7330e2da63a · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes
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Observation a9e6ca6a-e9b0-4fbb-93dc-ec7d23b920c7 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Pla: Language-driven open- vocabulary 3d scene understanding
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Observation 6347bf58-60cc-4562-91c2-6025a0faf498 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Lowis3d: Language-driven open-world instance-level 3d scene understanding
Reference 9
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Observation 80297a8f-a44c-485d-86a5-77a53f239216 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Learning regional purity for instance segmentation on 3d point clouds
Reference 10
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Observation 4fdf5fca-1de0-41c0-8bf5-645cc3a14e42 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation 3d-mpa: Multi-proposal aggre- gation for 3d semantic instance segmentation
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Observation ef4f740b-4373-4328-8f8a-763ed509a5c4 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation A density-based algorithm for discovering clusters in large spatial databases with noise
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Observation 5a2daaf7-9f11-4a3c-b609-4aa642006499 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Efficient graph-based image segmentation
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Observation 253b33a0-0574-40c5-affe-94d7f88feeb6 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Scal- ing open-vocabulary image segmentation with image-level labels
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Observation 6e2ad12f-a344-47a2-bacb-429b0856476d · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
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Observation d79bf52e-135e-4f5f-8b14-2843c5a4fa6e · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Sam-guided graph cut for 3d instance segmentation
Reference 16
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Observation 098b7f6b-dd99-4b47-8ffb-8009885b9c14 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Occuseg: Occupancy-aware 3d instance segmentation
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Observation 770dfaef-3d0d-432f-83d3-cd964fa5ce6c · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Dyco3d: Robust instance segmentation of 3d point clouds through dynamic convolution
Reference 18
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Observation 1ba2795b-46e0-4241-84c9-f0647abb0de4 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Clip goes 3d: Leveraging prompt tuning for language grounded 3d recognition
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Observation fa10a68e-bc99-46e1-a42d-79c3857a1783 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation 3d-sis: 3d se- mantic instance segmentation of rgb-d scans
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Observation fd2376f0-e4ff-4052-9859-f32fbae4b08b · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Reclip: Refine contrastive language image pre-training with source free domain adaptation
Reference 21
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Observation 8e51e046-c2a0-4fa7-989f-2fa12584c97b · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Decorre- lated batch normalization
Reference 22
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Observation 29abf999-ed33-4520-9fb0-bfa4042001da · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Segment3d: Learning fine-grained class-agnostic 3d segmentation without manual labels
Reference 23
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Observation fd70fa91-4086-4658-a34f-f3c3e98d5549 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Reference 24
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Observation bb122f5d-3607-4a7b-ba11-cb11d24ac6ad · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation ConceptFusion: Open-set Multimodal 3D Mapping
Reference 25
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Observation 69003d17-f0e0-4da6-91a2-3f0df34ed739 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Dynamic filter networks
Reference 26
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Observation 28e0788e-09ce-4c25-b36a-1c3457a3587e · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Pointgroup: Dual-set point group- ing for 3d instance segmentation
Reference 27
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Observation 7f22078b-6f82-4a93-bfc7-90acb8e6875d · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Multi- modal classifiers for open-vocabulary object detection
Reference 28
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Observation 43110e46-d98f-4472-8cce-dd24f924a92d · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Lerf: Language embedded radiance fields
Reference 29
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Observation 2b213264-4bc0-4177-9313-3722a23837a6 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Segment any- thing
Reference 30
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Observation fbb034e4-11ce-43fd-afde-37ec10faf60e · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Oneformer3d: One transformer for unified point cloud segmentation
Reference 31
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Observation d427de06-8a9e-42af-bfc1-75aa8b330ca3 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation 3d instance segmentation via multi-task met- ric learning
Reference 32
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Observation 2f544d92-f794-463d-8fd1-8e95137ff743 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Segment Any 3D Object with Language
Reference 33
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Observation 0facce9b-1992-43ef-9bd9-cb6ce61875ae · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Language-driven Semantic Segmentation
Reference 34
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Observation e0c86996-2815-4399-822b-c7827d41f331 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Open-vocabulary semantic segmentation with mask-adapted clip
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Observation 3f4be95d-d60c-4568-a880-1eb6256f1d8b · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Instance segmentation in 3d scenes using semantic superpoint tree networks
Reference 36
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Observation 730c4500-7ae5-4d27-b544-0e017b0a8da5 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 37
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Observation 35a568ad-e2aa-4e16-9093-957885a593e1 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Learning Gaussian Instance Segmentation in Point Clouds
Reference 38
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Observation a5b9417d-75b2-4a1a-bdc4-7b9bd44a728f · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Ovir-3d: Open-vocabulary 3d in- stance retrieval without training on 3d data
Reference 39
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Observation 3721f919-3ade-4a49-b14c-ec8a3ee2afac · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution
Reference 40
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance
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Observation 3c55dc42-6e07-4708-b8d1-a1c477f18387 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Openscene: 3d scene understanding with open vocabularies
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Lp-ovod: Open- vocabulary object detection by linear probing
Reference 43
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Learning transferable visual models from natural language supervi- sion
Reference 44
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Observation f5be1d3d-0156-4d0f-a130-c9f6253e5b41 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Unsuper- vised domain adaptation using feature-whitening and con- sensus loss
Reference 46
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Mask3d: Mask trans- former for 3d semantic instance segmentation
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Whitening and Coloring batch transform for GANs
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Observation 27847e1b-7fd8-474e-accc-55260767bb41 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation The Replica Dataset: A Digital Replica of Indoor Spaces
Reference 49
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Observation 67a636e8-55bf-443a-a88b-940a0fc2d61b · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Alpha- clip: A clip model focusing on wherever you want
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Observation fdde2e5c-ae80-4400-b9a5-6f12dfcd3b97 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation OpenMask3D: Open-Vocabulary 3D Instance Segmentation
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Observation cb78d0a0-0ea1-4092-bf27-7010013ded16 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Conditional con- volutions for instance segmentation
Reference 52
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Observation 5ddf3551-7805-462f-a711-54e5d87e2ebc · outbound
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Reference 53
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Observation 94be33b2-64c2-46af-a697-68a1dc96dcb3 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Softgroup for 3d instance segmentation on point clouds
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Reference 55
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Observation 4810adf6-288f-4711-a2a8-9ef0d89ed3cb · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Sgpn: Similarity group proposal network for 3d point cloud instance segmentation
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Groupvit: Semantic segmentation emerges from text supervision
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Maskclus- tering: View consensus based mask graph clustering for open-vocabulary 3d instance segmentation
Reference 59
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation SAM3D: Segment Anything in 3D Scenes
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Detclipv2: Scalable open- vocabulary object detection pre-training via word-region alignment
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Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Scannet++: A high-fidelity dataset of 3d indoor scenes
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Reference 67
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Observation 9f05ae89-5f88-4337-b336-e908e3a862e1 · outbound
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Regionclip: Region- based language-image pretraining
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Reference 69
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Observation ada82d0f-7d71-41e4-8367-6be536d6308e · outbound
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Reference 71
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Observation c6b73b08-1ed5-4f2d-a4f3-35899d2aa3b8 · inbound
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Observation 48400404-e3eb-4a7c-a1cf-f114d1ca1d55 · inbound
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Observation 9e86a1d8-034e-43ff-a058-ee3a07736e53 · inbound
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