Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:11:06.912694Z
Paper Citation Record · LEDGER
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation
As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2502.00960.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact2
- verified fuzzy39
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 77f4029d-544f-43fa-a743-e88dcfa03d01 · outbound
This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.790709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 427f2a2e-57a2-45e8-8c50-89f7c636b828 · outbound
This paper cites Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.779383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2b5ec1e-4eb6-45b7-ba5a-fefa3054ee9a · outbound
This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.767892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 490c0d18-7f64-4fbe-b634-7bb6ca73409b · outbound
This paper cites Kpconv: Flexible and deformable convolution for point clouds,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Kpconv: Flexible and deformable convolution for point clouds,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.756711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f3efd5d-6ebb-4e3f-bf80-c8bc168f71da · outbound
This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.746358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1435032c-3fab-4c37-891e-fb92c50fef84 · outbound
This paper cites nuscenes: A multimodal dataset for autonomous driving,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation nuscenes: A multimodal dataset for autonomous driving,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.734971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bac22825-2af5-459c-bf40-ea4002aa0673 · outbound
This paper cites Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.724561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a6f2de32-76d2-493b-b1f3-30b64920dbc1 · outbound
This paper cites Splatnet: Sparse lattice networks for point cloud processing,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Splatnet: Sparse lattice networks for point cloud processing,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.713030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 823a74e7-0a07-4e12-82fa-1b4cf7c5368e · outbound
This paper cites Sensor fusion for joint 3d object detection and semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Sensor fusion for joint 3d object detection and semantic segmentation,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.701196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 37157edf-ed75-49c0-86a5-0bd63a4c0790 · outbound
This paper cites Cycada: Cycle-consistent adversarial domain adaptation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Cycada: Cycle-consistent adversarial domain adaptation,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.690053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2591130-cb6a-4d16-b3dd-219a26fbf634 · outbound
This paper cites Bidirectional learning for domain adaptation of semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Bidirectional learning for domain adaptation of semantic segmentation,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.678685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8e980423-65d3-4ea3-a7b1-8c01723df6d0 · outbound
This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.668059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52a0d5c9-59f3-44bb-8c11-f8f59bc2fa56 · outbound
This paper cites Squeezesegv2: Im- proved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Squeezesegv2: Im- proved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.656821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e46cfe56-f9a3-4a43-a782-5743b75ec9d6 · outbound
This paper cites Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.645280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e641e729-0412-4709-b442-f1734ccab8d5 · outbound
This paper cites xmuda: Cross-modal unsupervised domain adaptation for 3d semantic seg- mentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation xmuda: Cross-modal unsupervised domain adaptation for 3d semantic seg- mentation,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.634547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5ec8990c-59dc-47fb-b396-d4756022c3a0 · outbound
This paper cites Mopa: Multi- modal prior aided domain adaptation for 3d semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Mopa: Multi- modal prior aided domain adaptation for 3d semantic segmentation,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.623186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2aee9e84-596a-43f6-9d28-2b423c3c6ed9 · outbound
This paper cites Mm-tta: multi-modal test-time adaptation for 3d semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Mm-tta: multi-modal test-time adaptation for 3d semantic segmentation,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.610916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a8a508b-9805-45d4-9c42-7410ce914f50 · outbound
This paper cites Summit: Source-free adaptation of uni-modal models to multi-modal targets,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Summit: Source-free adaptation of uni-modal models to multi-modal targets,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.600476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 625bb12d-0f8d-4ca4-ae6d-e24c3227e736 · outbound
This paper cites Segment anything,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment anything,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.589584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5b7501c1-ddd4-4a29-a552-d055634b496f · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation SAM 2: Segment Anything in Images and Videos
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.796186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45410822-686b-41e4-a3d4-3fb38739c34e · outbound
This paper cites Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T17:11:07.342026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2b38433d-d273-48b5-82ec-cbb7e1af823b · outbound
This paper cites Segment anything in medical images,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment anything in medical images,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.579138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a086595-a5bf-4897-93b0-ffe708cedb18 · outbound
This paper cites Segment anything model for medical images?.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment anything model for medical images?
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.567836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1ab04993-ecfa-46b3-871f-af0ef73acea1 · outbound
This paper cites Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.811250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eade4979-fc07-455a-9de5-2597ebdb5765 · outbound
This paper cites Learning to Adapt SAM for Segmenting Cross-domain Point Clouds.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.815200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e091df42-cd01-46d8-9868-6d3cca3b7705 · outbound
This paper cites Segment any point cloud sequences by distilling vision foun- dation models,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment any point cloud sequences by distilling vision foun- dation models,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.557247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1688c03f-87cf-444b-b639-2eb92517913f · outbound
This paper cites Geometric calibration for lidar-camera system fusing 3d-2d and 3d-3d point correspondences,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Geometric calibration for lidar-camera system fusing 3d-2d and 3d-3d point correspondences,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.546458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1527bc6f-20c6-401a-b200-66fd2587a06d · outbound
This paper cites Learning to adapt structured output space for seman- tic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning to adapt structured output space for seman- tic segmentation,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.535415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e49e4671-f31c-4536-9232-6ea5faee0d82 · outbound
This paper cites Conditional generative adversarial network for structured domain adaptation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Conditional generative adversarial network for structured domain adaptation,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.524895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c1a8d35c-6c0b-4220-ab63-b785a042802d · outbound
This paper cites Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.513757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 453e4032-f165-4162-957d-cc25807aaaaf · outbound
This paper cites Instance adaptive self- training for unsupervised domain adaptation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Instance adaptive self- training for unsupervised domain adaptation,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.502251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ef965dfd-f871-4666-8c8e-87a5dc196184 · outbound
This paper cites Unsuper- vised intra-domain adaptation for semantic segmentation through self- supervision,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Unsuper- vised intra-domain adaptation for semantic segmentation through self- supervision,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.491376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 989f1267-82f5-47bc-b470-bf8006d4f476 · outbound
This paper cites Learning pseudo-relations for cross-domain semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning pseudo-relations for cross-domain semantic segmentation,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.480557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ea24a61d-418b-40eb-9fbe-844bc23290c0 · outbound
This paper cites Cosmix: Compositional semantic mix for domain adaptation in 3d lidar segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Cosmix: Compositional semantic mix for domain adaptation in 3d lidar segmentation,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.469823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f42def7b-d107-4789-83b4-ebe1bd79c242 · outbound
This paper cites A2D2: Audi Autonomous Driving Dataset.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation A2D2: Audi Autonomous Driving Dataset
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.852005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5deeb50a-43df-44f0-b649-e13ec65ed81a · outbound
This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.458183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cbc1c69b-cc6e-49ac-b8b5-3244c9eba80d · outbound
This paper cites Efficient deep visual and iner- tial odometry with adaptive visual modality selection,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Efficient deep visual and iner- tial odometry with adaptive visual modality selection,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.446783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7d66ac57-3b9a-4211-8f94-4fc5d4aff136 · outbound
This paper cites Sparse-to-dense feature matching: Intra and inter domain cross-modal learning in domain adaptation for 3d semantic segmentation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Sparse-to-dense feature matching: Intra and inter domain cross-modal learning in domain adaptation for 3d semantic segmentation,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.435342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c1bc040e-6d7a-45ac-bd47-667332f68b04 · outbound
This paper cites Cross-modal contrastive learning for domain adaptation in 3d semantic segmenta- tion,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Cross-modal contrastive learning for domain adaptation in 3d semantic segmenta- tion,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.423136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c0d31e11-9909-487e-8cb7-66b09d470b1b · outbound
This paper cites Reliable spatial-temporal voxels for multi-modal test-time adaptation,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Reliable spatial-temporal voxels for multi-modal test-time adaptation,
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-08-09T17:11:07.294139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b8498f9-7bb6-47f0-8508-60214aadeda0 · outbound
This paper cites Weakly-supervised concealed object segmentation with sam- based pseudo labeling and multi-scale feature grouping,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Weakly-supervised concealed object segmentation with sam- based pseudo labeling and multi-scale feature grouping,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.410320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1e9145dd-8252-40ba-9515-3725c5f37f2d · outbound
This paper cites SAM3D: Segment Anything in 3D Scenes.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation SAM3D: Segment Anything in 3D Scenes
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.878283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 333520f0-fb28-4812-906e-a1d179a6fdfa · outbound
This paper cites Track Anything: Segment Anything Meets Videos.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Track Anything: Segment Anything Meets Videos
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.882718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bca115e4-1bfd-4dd2-9908-fdd7d2fa1fb5 · outbound
This paper cites Segment and Track Anything.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment and Track Anything
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.887432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a2d63c-88b2-4c78-84dd-1d1b0d41d31f · outbound
This paper cites Personalize Segment Anything Model with One Shot.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Personalize Segment Anything Model with One Shot
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.891343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 244f9125-a5bf-48c0-bb23-5f9e09aaa6d9 · outbound
This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.894994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation deedf2f0-9277-4933-b7e2-529a6931b2eb · outbound
This paper cites A new local distance-based outlier detection approach for scattered real-world data,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation A new local distance-based outlier detection approach for scattered real-world data,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.397969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 57871532-23ba-458e-b5f6-0259ff77fb25 · outbound
This paper cites An efficient outlier removal method for scattered point cloud data,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation An efficient outlier removal method for scattered point cloud data,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.386579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a24bff17-cb3f-4070-a64a-b9d742834835 · outbound
This paper cites Deep residual learning for image recognition,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Deep residual learning for image recognition,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.375165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6dab7e2-e306-47d7-9702-0b81f07321e5 · outbound
This paper cites 3d semantic segmentation with submanifold sparse convolutional networks,.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation 3d semantic segmentation with submanifold sparse convolutional networks,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T17:11:07.364172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7780341e-fec2-43f3-a861-552c50970d0f · outbound
This paper cites Adam: A Method for Stochastic Optimization.
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Adam: A Method for Stochastic Optimization
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:11:06.912694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.