Paper Citation Record · LEDGER

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.06687.

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

pith.paper-citation-record.v1
2507.06687 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:12.933913Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

verified exact18
verified fuzzy6
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90e10110-e03e-4790-8155-504f5079fcbe · outbound

This paper cites The Stixel World - A Compact Medium Level Representation of the 3D-World,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception The Stixel World - A Compact Medium Level Representation of the 3D-World,

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T19:03:13.500083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4dd7b530-40dc-4f78-9b02-12eb456dd12f · outbound

This paper cites The AEIF Data Collection: A Dataset for Infrastructure-Supported Perception Research with Focus on Public Transportation,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception The AEIF Data Collection: A Dataset for Infrastructure-Supported Perception Research with Focus on Public Transportation,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.869555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 516aa742-f6c4-4989-8725-26fb850c0290 · outbound

This paper cites StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection,

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.798239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c0558c0-b669-47ae-831b-812ef9fa0688 · outbound

This paper cites Towards a Global Optimal Multi-Layer Stixel Representation of Dense 3D Data,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Towards a Global Optimal Multi-Layer Stixel Representation of Dense 3D Data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:14.913300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd5d0b1c-28f1-4fcc-881c-cd6038ea3ff4 · outbound

This paper cites Semantic Stixels: Depth is not enough,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Semantic Stixels: Depth is not enough,

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.719924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59512be4-a5f5-424c-8ca0-8ae248298d3e · outbound

This paper cites Instance Stixels: Segmenting and Grouping Stixels into Objects,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Instance Stixels: Segmenting and Grouping Stixels into Objects,

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.646185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6866d5a-674b-4506-91ce-f1eea8ede548 · outbound

This paper cites StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:14.906345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f37f341-64fc-4d48-95b4-165c68eb1a43 · outbound

This paper cites Real-Time Category- Based and General Obstacle Detection for Autonomous Driving,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Real-Time Category- Based and General Obstacle Detection for Autonomous Driving,

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.577232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37836f17-e459-46ff-9b92-383c3ca1ccdf · outbound

This paper cites Mono-Stixels: Monocular depth reconstruction of dynamic street scenes.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Mono-Stixels: Monocular depth reconstruction of dynamic street scenes

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.485792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdb2a323-4e1b-4a84-97f8-6228be36dfce · outbound

This paper cites Exploiting Single Image Depth Prediction for Mono-stixel Estimation,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Exploiting Single Image Depth Prediction for Mono-stixel Estimation,

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T19:03:13.181365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aba5385b-fc50-40d5-b176-1146ed704cbc · outbound

This paper cites Unsupervised Monocular Depth Estimation with Left-Right Consistency,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Unsupervised Monocular Depth Estimation with Left-Right Consistency,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:14.899159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62ecf9bc-591f-479e-bb2d-0d60479bda0e · outbound

This paper cites Digging Into Self-Supervised Monocular Depth Estimation.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Digging Into Self-Supervised Monocular Depth Estimation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:10.129567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f796b17-4330-4239-b65f-20fa3bcc3bca · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:10.196940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40cdcb8-d5ff-4d00-bef8-28979cbdc23f · outbound

This paper cites Depth Anything V2,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Depth Anything V2,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:14.891752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb95f63c-1092-49d3-97e9-3c3b32c14bc7 · outbound

This paper cites MonoScene: Monocular 3D Semantic Scene Completion.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception MonoScene: Monocular 3D Semantic Scene Completion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:10.417954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 628bc0ed-1ad3-4d66-9241-f830d95fdb78 · outbound

This paper cites Learning Occupancy for Monocular 3D Object Detection.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Learning Occupancy for Monocular 3D Object Detection

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.435055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b12cd330-b73a-4490-869c-10acf423ae34 · outbound

This paper cites MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.425214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9fd72b2d-7fe1-4793-9cae-789375e232a7 · outbound

This paper cites You Only Look Bottom-Up for Monocular 3D Object Detection.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception You Only Look Bottom-Up for Monocular 3D Object Detection

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.414239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2eda1a9-b5b0-40e5-bc91-742ca2752f9a · outbound

This paper cites Translating Images into Maps.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Translating Images into Maps

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.403757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 625fd17c-3ade-4ea9-95b8-16811e295a75 · outbound

This paper cites SeaBird: Segmentation in Bird’s View with Dice Loss Improves Monocular 3D Detection of Large Objects,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception SeaBird: Segmentation in Bird’s View with Dice Loss Improves Monocular 3D Detection of Large Objects,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:14.884936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb920c05-bf22-4bf7-9972-fbbf8d52bb91 · outbound

This paper cites Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.393526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1235f63-0eaf-473e-963a-85b459d7e130 · outbound

This paper cites Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.381969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f19a439-b83f-461c-81e0-e9801a544e44 · outbound

This paper cites Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.322618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf99724e-e5de-4fb3-bf85-afffa3947b84 · outbound

This paper cites CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.262352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e20e83fc-db50-4822-a1cd-7b482e35491e · outbound

This paper cites Learning Depth from Single Images with Deep Neural Network Embedding Focal Length.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Learning Depth from Single Images with Deep Neural Network Embedding Focal Length

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:03:14.251338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83e9145d-e30c-4845-853b-2d7e3c7b9805 · outbound

This paper cites Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:03:14.048991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d771b6d-f481-40e7-84cf-b33cb4af27b5 · outbound

This paper cites A ConvNet for the 2020s.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception A ConvNet for the 2020s

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:11.481155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4855c8e-2ce2-4ee6-a4ac-d20100adddd8 · outbound

This paper cites Hartley and A.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Hartley and A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:14.876685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89fdc2d9-2465-489c-aa35-0db7f0d22418 · outbound

This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:11.593133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e63167-52b8-4157-8446-9a4c7e99de75 · outbound

This paper cites LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:11.663731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419b70d6-a265-4877-b208-bab3e1f686f3 · outbound

This paper cites Are we ready for autonomous driving? The KITTI vision benchmark suite,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Are we ready for autonomous driving? The KITTI vision benchmark suite,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:11.854501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597088ce-675c-4c40-90c4-5894ca8aa5c9 · outbound

This paper cites Probabilistic and Geometric Depth: Detecting Objects in Perspective.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Probabilistic and Geometric Depth: Detecting Objects in Perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.007827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1315b551-ee4a-4ef4-8bb7-84d5b75cf0a9 · outbound

This paper cites The Pascal Visual Object Classes Challenge: A Retrospective,.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception The Pascal Visual Object Classes Challenge: A Retrospective,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.207041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16340daa-e2be-4f96-b20e-cf644f51a53d · outbound

This paper cites EfficientNetV2: Smaller Models and Faster Training.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception EfficientNetV2: Smaller Models and Faster Training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.361797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220cab35-4ea2-4dbe-8b98-5ad572a68761 · outbound

This paper cites Searching for MobileNetV3.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Searching for MobileNetV3

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.515597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f12e28f-e63b-4a86-aad5-e32549a41d18 · outbound

This paper cites ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.663510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4e376cc-2d94-443f-a733-0b8fff9d5d28 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.809376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 769467a0-083f-428c-b36e-0770f2855011 · outbound

This paper cites Attention Is All You Need.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Attention Is All You Need

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:12.933913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d152aa18-e1e2-4c3f-96b8-f4e4acdbc324 · outbound

This paper cites Unsupervised Monocular Depth Estimation with Left-Right Consistency.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Unsupervised Monocular Depth Estimation with Left-Right Consistency

Reference 2016

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:03:14.473357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07468896-3aad-4367-a6b7-06bef8b499a4 · outbound

This paper cites Depth Anything V2.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Depth Anything V2

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:10.346021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.