Paper Citation Record · LEDGER

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2412.11241.

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

pith.paper-citation-record.v1
2412.11241 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:13:02.108276Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:30:48.262458Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:48:50.558758Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy28
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5276182-9127-4afc-9c93-38ed8ca78fed · outbound

This paper cites Rgb-(d) scene labeling: Features and algorithms,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Rgb-(d) scene labeling: Features and algorithms,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.665636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99a79db2-7144-441e-9680-805e8c01e0cf · outbound

This paper cites Perceptual organization and recognition of indoor scenes from rgb-d images,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Perceptual organization and recognition of indoor scenes from rgb-d images,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.655010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7d21eb9a-c365-46a4-a9eb-63dd09d05d31 · outbound

This paper cites Real-time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Real-time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:01.980403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5031f383-25d1-4aec-84e6-abf85757ed85 · outbound

This paper cites Refining image segmentation by integration of edge and region data,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Refining image segmentation by integration of edge and region data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.642022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f214b09-8394-41ac-959e-dfa033bebadf · outbound

This paper cites Interactive graph cut based segmentation with shape priors,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Interactive graph cut based segmentation with shape priors,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.628899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a163a643-d1a0-4ff6-bc45-483d3e2c22a6 · outbound

This paper cites Graph cut based image segmentation with connectivity priors,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Graph cut based image segmentation with connectivity priors,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.616194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1eea81d1-d399-414a-9408-aaadf070cd86 · outbound

This paper cites A segmentation based robust deep learning framework for multimodal retinal image registration,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots A segmentation based robust deep learning framework for multimodal retinal image registration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.604126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e31c18af-fd3c-421f-a6cc-2c2641252173 · outbound

This paper cites On advantages of mask-level recognition for outlier-aware segmentation,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots On advantages of mask-level recognition for outlier-aware segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.591052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 498de249-b9b5-4e83-afa5-1b74c0cb420b · outbound

This paper cites Lstm-cf: Unifying context modeling and fusion with lstms for rgb-d scene la- beling,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Lstm-cf: Unifying context modeling and fusion with lstms for rgb-d scene la- beling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.580308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 661305c9-faee-4eb4-871a-d2a608769857 · outbound

This paper cites Learning com- mon and specific features for rgb-d semantic segmentation with deconvolutional networks,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Learning com- mon and specific features for rgb-d semantic segmentation with deconvolutional networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.567393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36b16190-1e0d-4282-9208-ff7d174c6d2b · outbound

This paper cites Rdfnet: Rgb-d multi-level residual feature fusion for indoor semantic segmentation,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Rdfnet: Rgb-d multi-level residual feature fusion for indoor semantic segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.554049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 903b0efe-b536-42f2-8488-cf0215f5360d · outbound

This paper cites Fusenet: In- corporating depth into semantic segmentation via fusion-based cnn architecture,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Fusenet: In- corporating depth into semantic segmentation via fusion-based cnn architecture,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.540540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72988454-d95c-426d-9ff9-b7c0786a9701 · outbound

This paper cites Depth-aware cnn for rgb-d segmenta- tion,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Depth-aware cnn for rgb-d segmenta- tion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.422053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6027e85f-d4c4-4b79-be31-27a3f54c95fa · outbound

This paper cites Two-stage cascaded decoder for semantic segmentation of rgb-d images,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Two-stage cascaded decoder for semantic segmentation of rgb-d images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.409592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c459779-4990-4cee-98e0-c02f7f510d29 · outbound

This paper cites Indoor seg- mentation and support inference from rgbd images,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Indoor seg- mentation and support inference from rgbd images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.397713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation adca4e3f-d8f1-40f4-a645-138576b3b7ae · outbound

This paper cites Indoor Semantic Segmentation using depth information.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Indoor Semantic Segmentation using depth information

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.027599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7c1307-5dac-4396-b427-279311d37b0f · outbound

This paper cites Learning rich features from rgb-d images for object detection and segmenta- tion,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Learning rich features from rgb-d images for object detection and segmenta- tion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.386194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation def459bd-b1d6-4317-8e7c-6c1328a33693 · outbound

This paper cites Kinectfusion: Real-time dense surface mapping and tracking,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Kinectfusion: Real-time dense surface mapping and tracking,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.035894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e1eda03-df2a-4335-88b6-c24bfcc48d0e · outbound

This paper cites Chisel: Real time large scale 3d reconstruction onboard a mobile device using spatially hashed signed distance fields.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Chisel: Real time large scale 3d reconstruction onboard a mobile device using spatially hashed signed distance fields

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.367595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d669377-67f3-421c-9487-376992a99016 · outbound

This paper cites V oxblox: Incremental 3d euclidean signed distance fields for on- board mav planning,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots V oxblox: Incremental 3d euclidean signed distance fields for on- board mav planning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.043529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42cc2908-4dea-4d16-aa32-f39ddd32b21f · outbound

This paper cites V olumetric instance-aware semantic mapping and 3d object discovery,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots V olumetric instance-aware semantic mapping and 3d object discovery,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.348001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 473ad97e-87e7-40bf-abb7-f5776bb3b48a · outbound

This paper cites V oxfield: Non-projective signed distance fields for online planning and 3d reconstruction,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots V oxfield: Non-projective signed distance fields for online planning and 3d reconstruction,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.050633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ff314a-a0ae-4d14-a582-06246d8bbc79 · outbound

This paper cites Panoptic multi-tsdfs: a flexible repre- sentation for online multi-resolution volumetric mapping and long- term dynamic scene consistency,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Panoptic multi-tsdfs: a flexible repre- sentation for online multi-resolution volumetric mapping and long- term dynamic scene consistency,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.327894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e681ffb-3a09-4b7f-b0b8-0cc215f5558a · outbound

This paper cites Se- manticfusion: Dense 3d semantic mapping with convolutional neural networks,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Se- manticfusion: Dense 3d semantic mapping with convolutional neural networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.057445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52eac08c-058c-43a0-a1f4-df8110393ec7 · outbound

This paper cites Co-fusion: Real-time segmentation, tracking and fusion of multiple objects,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Co-fusion: Real-time segmentation, tracking and fusion of multiple objects,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.309326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dee5afe1-b0a5-4635-8f42-6fa654ebf51a · outbound

This paper cites Maskfusion: Real-time recog- nition, tracking and reconstruction of multiple moving objects,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Maskfusion: Real-time recog- nition, tracking and reconstruction of multiple moving objects,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.297796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e4afe3d-6dc1-47c4-b150-9ffdac1ff969 · outbound

This paper cites Panoptic segmentation,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Panoptic segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.286203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4384e755-9fee-4cfa-9372-1cd1cfe0af0e · outbound

This paper cites Fast and ac- curate semantic mapping through geometric-based incremental seg- mentation,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Fast and ac- curate semantic mapping through geometric-based incremental seg- mentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.275124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b534fa8-ffac-4367-96f5-0ec636a61c21 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.075852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f50cc0-036a-450e-9664-135f132d8232 · outbound

This paper cites Robust statistical estimation and segmentation of multiple subspaces,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Robust statistical estimation and segmentation of multiple subspaces,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.254891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c6f2a30-51fc-4738-a9a3-63e6f9e58cbc · outbound

This paper cites A density-based spatial clustering of application with noise,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots A density-based spatial clustering of application with noise,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.241030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 594a76a6-22ae-4edf-9d1d-5057a26cfb17 · outbound

This paper cites A volumetric method for building complex models from range images,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots A volumetric method for building complex models from range images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.229372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20aeb415-000b-4818-a3a8-6991234bb97c · outbound

This paper cites Dart: Dense articulated real-time tracking.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Dart: Dense articulated real-time tracking

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.218213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b1d357f-0da0-4e03-99d5-a48a9c7dcfcf · outbound

This paper cites Dynamicfusion: Recon- struction and tracking of non-rigid scenes in real-time,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Dynamicfusion: Recon- struction and tracking of non-rigid scenes in real-time,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.206399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2895243-f4e3-414b-a60b-1d889268246e · outbound

This paper cites Dynamic high resolution deformable articulated tracking,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Dynamic high resolution deformable articulated tracking,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:13:02.192929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 784031d7-8fdc-429f-b34a-055a3216ba2a · outbound

This paper cites Signed distance fields: A natural representation for both mapping and planning,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Signed distance fields: A natural representation for both mapping and planning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.101695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307567a2-b44f-4aac-9b0b-63b1c7c74988 · outbound

This paper cites YOLO by Ultralytics,.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots YOLO by Ultralytics,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.104991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4610106a-29fb-4e31-81c3-b05c7de26ea4 · outbound

This paper cites Available: https://github.com/ultralytics/ultralytics.

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots Available: https://github.com/ultralytics/ultralytics

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:02.108276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7c3ab5d9-983f-4b34-a2c2-9c33de270220 · inbound

Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors cites this paper.

Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T04:30:48.262458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e4ae1b-76dc-4664-a87b-737d17d70ce3 · inbound

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation cites this paper.

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:50.712421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.