Paper Citation Record · LEDGER

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2508.06529.

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

pith.paper-citation-record.v1
2508.06529 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:43:14.109095Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:17:06.888388Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:17:06.931889Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92926b0c-95f1-4be2-8dc4-cf01f9c5e986 · outbound

This paper cites Multi-task learning for dense prediction tasks: A survey,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Multi-task learning for dense prediction tasks: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.507407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ad8ae04-748c-471f-8343-5bfe25de63df · outbound

This paper cites Autonomous driving cars in smart cities: Recent advances, requirements, and challenges,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Autonomous driving cars in smart cities: Recent advances, requirements, and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.497187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5577735-4b06-48e7-9e3a-6fde46ba28fe · outbound

This paper cites Yolopx: Anchor- free multi-task learning network for panoptic driving perception,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Yolopx: Anchor- free multi-task learning network for panoptic driving perception,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.485439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69341607-f655-41f1-ab1e-5919667eba7d · outbound

This paper cites You only look at once for real-time and generic multi-task,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving You only look at once for real-time and generic multi-task,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.473875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4008a4b-fe13-44b1-a31c-10b95012b83b · outbound

This paper cites Yolop: You only look once for panoptic driving perception,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Yolop: You only look once for panoptic driving perception,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.462499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88d4c5a3-7ebc-4ee5-978d-b3ed0c97b09d · outbound

This paper cites A loss-balanced multi-task model for simultaneous detection and segmentation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving A loss-balanced multi-task model for simultaneous detection and segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.451311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a0d5dba-7c11-4b8d-9a19-43ad43510478 · outbound

This paper cites Multi-task learning with attention for end-to-end autonomous driving,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Multi-task learning with attention for end-to-end autonomous driving,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.439880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 50c1a3b1-0ab2-4c89-9b17-ff82b0492620 · outbound

This paper cites t-readi: Transformer-powered robust and efficient multimodal inference for autonomous driving,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving t-readi: Transformer-powered robust and efficient multimodal inference for autonomous driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.429375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87dff4f3-a295-4eca-bd85-3c57f63aa6e2 · outbound

This paper cites Fast quantum convolutional neural networks for low-complexity object detection in autonomous driving applications,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Fast quantum convolutional neural networks for low-complexity object detection in autonomous driving applications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.418825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6bb31c7-cccd-41f6-9169-d40de0cb6881 · outbound

This paper cites Deep cnn-based real-time traffic light detector for self-driving vehicles,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Deep cnn-based real-time traffic light detector for self-driving vehicles,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.407138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a48f8e0-7ee2-491b-9862-84ae00c4fd8d · outbound

This paper cites HybridNets: End-to-End Perception Network.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving HybridNets: End-to-End Perception Network

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:13.994622Z

Source-reported events for the cited work

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Observation 37c3820f-f194-4e49-8ab7-f4e359003d75 · outbound

This paper cites Research on road scene understanding of autonomous vehicles based on multi-task learning,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Research on road scene understanding of autonomous vehicles based on multi-task learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.395672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 305ca6a3-f5ba-4540-914f-1ce13d755a55 · outbound

This paper cites YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.002878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a312e19e-1355-4a9a-beb3-87e6c5875fdb · outbound

This paper cites Learning lightweight lane detection cnns by self attention distillation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Learning lightweight lane detection cnns by self attention distillation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.385257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df0865d7-2435-49c4-83c2-a05f30da1487 · outbound

This paper cites Detrs beat yolos on real-time object detection,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Detrs beat yolos on real-time object detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.374172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 683aa0a5-29ff-4076-9de7-63c36c5b5a0c · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.362981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a95e362-b67f-457a-936e-7970bc321c01 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.035380Z

Source-reported events for the cited work

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Observation 467830bd-a6e9-4138-b1f2-1b47f7f7696f · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.345443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fd1ecb7-59b8-459b-a926-2b96040cafa3 · outbound

This paper cites A robust anchor-free detection method for sar ship targets with lightweight cnn,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving A robust anchor-free detection method for sar ship targets with lightweight cnn,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.334085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c11a30e4-a3a5-4eef-a30b-7592bfcd6460 · outbound

This paper cites Faa-det: Feature augmentation and alignment for anchor-free oriented object detection,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Faa-det: Feature augmentation and alignment for anchor-free oriented object detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.322086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0ee44d9-f1c5-4ede-9e98-bc97d48d157e · outbound

This paper cites End-to-end object detection with transformers,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving End-to-end object detection with transformers,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.050819Z

Source-reported events for the cited work

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Observation 47ca2093-a415-4c5a-bd6b-1dedbd7ae4cf · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.054432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c53076-9cac-4787-8510-76d30d19c581 · outbound

This paper cites Region-based semantic segmen- tation with end-to-end training,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Region-based semantic segmen- tation with end-to-end training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.303894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84d9c086-f2cb-4bd3-a49b-9f0a478bc2c3 · outbound

This paper cites Region-based convolutional networks for accurate object detection and segmentation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Region-based convolutional networks for accurate object detection and segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.291338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 269be546-81a5-4b23-9d0e-484acd69d676 · outbound

This paper cites Std2p: Rgbd semantic segmentation using spatio-temporal data-driven pooling,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Std2p: Rgbd semantic segmentation using spatio-temporal data-driven pooling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.280518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e523f37-f8e2-4624-a04d-6d76fd6a9d32 · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Per-pixel classification is not all you need for semantic segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.268532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad465a3b-e587-4c16-9dda-677e2abe626b · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Masked-attention mask transformer for universal image segmentation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.074682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516bab75-d850-466d-a1fd-d92a82d39051 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Fully convolutional networks for semantic segmentation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.078360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3dd4fc4-3561-499d-a7c4-5efd7ed0ba7a · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.243241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19f882cd-b490-447b-9dca-d5dfb0736d79 · outbound

This paper cites Pyramid scene parsing network,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Pyramid scene parsing network,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.085872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dbf7d7e-e0a4-4ffc-906f-fadaf333aca5 · outbound

This paper cites Yolomh: You only look once for multi-task driving perception with high efficiency,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Yolomh: You only look once for multi-task driving perception with high efficiency,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.224567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23e5b41a-380b-4827-81c3-9e043d67ffd0 · outbound

This paper cites Squeeze-and-excitation networks,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Squeeze-and-excitation networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.212558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 595cda59-3b01-4d40-a2c1-5266e331ed94 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bound- ing box regression,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Generalized intersection over union: A metric and a loss for bound- ing box regression,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.201438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3e4741b-7d0d-4bef-92ca-cc5b23ae8472 · outbound

This paper cites Focal loss for dense object detection,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Focal loss for dense object detection,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:14.101951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cab2c04-3784-4640-96f7-dad8e35917a5 · outbound

This paper cites Tversky loss function for image segmentation using 3d fully convolutional deep networks,.

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving Tversky loss function for image segmentation using 3d fully convolutional deep networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:14.181260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 55e0fe8a-bc0e-4db2-aee7-7bd4d9d6acbb · inbound

Citation Issues in Wave Mechanics Theory of Microwave Absorption cites this paper.

Citation Issues in Wave Mechanics Theory of Microwave Absorption RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving

Reference 14

Resolution: malformed identifier; local_arxiv, observed 2026-08-06T10:17:06.939699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.