Paper Citation Record · LEDGER

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.03057.

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

pith.paper-citation-record.v1
1908.03057 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:30:26.236616Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy31
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbc79e4a-028e-487b-83c1-a9935db5ebed · outbound

This paper cites Multisensor low-cost system for real time human detection and remote respiration monitoring,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Multisensor low-cost system for real time human detection and remote respiration monitoring,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.780957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44945368-1641-4e8e-9fff-aa531294835b · outbound

This paper cites Vision based victim detection from unmanned aerial vehicles,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Vision based victim detection from unmanned aerial vehicles,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.760435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81c30161-22ad-4d52-b3af-83b0154c855c · outbound

This paper cites Pedestrian detection: An evaluation of the state of the art,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Pedestrian detection: An evaluation of the state of the art,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.741144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f857ab1-fa17-4d61-aac7-4856469af1e5 · outbound

This paper cites A survey on visual surveillance of object motion and behaviors,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data A survey on visual surveillance of object motion and behaviors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.724954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dee4e9a7-6c6c-4b9f-a216-99fa7819f52a · outbound

This paper cites Face alignment by explicit shape regression,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Face alignment by explicit shape regression,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.709472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a3623ae-083f-4061-afaa-69955618e8f9 · outbound

This paper cites Going deeper with convolutions,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Going deeper with convolutions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.693313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c94f75bc-d375-408f-92fa-df3ac224a346 · outbound

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

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.676984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7c002fa-efd8-440a-a511-98852cdb755d · outbound

This paper cites Fast r-cnn,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Fast r-cnn,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:30:26.129004Z

Source-reported events for the cited work

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Observation a58e3e06-22d4-418a-b4ef-cbb1ee102053 · outbound

This paper cites Faster r-cnn: towards real-time object detection with region proposal networks,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Faster r-cnn: towards real-time object detection with region proposal networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.647907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4752eabb-3c86-40b5-b17c-468181ac3892 · outbound

This paper cites Focal loss for dense object detection,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Focal loss for dense object detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.632503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 903b0649-c38e-48dc-b3c2-dac58025f3ac · outbound

This paper cites Mask r-cnn,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Mask r-cnn,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.616317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce7382e7-ed36-4e2d-9f83-2ef316ccbf15 · outbound

This paper cites Megdet: A large mini-batch object detector,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Megdet: A large mini-batch object detector,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.601593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0d70e71-420e-4c7f-9028-66c18e7c56a6 · outbound

This paper cites Learning appearance in virtual scenarios for pedestrian detection,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Learning appearance in virtual scenarios for pedestrian detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.586540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 550a0178-6569-42f8-bd2f-9125e23de6d6 · outbound

This paper cites Semantic pose using deep networks trained on synthetic rgb-d,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Semantic pose using deep networks trained on synthetic rgb-d,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.572317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90e2821b-8cce-4ba9-bdc3-0e62808bbc7c · outbound

This paper cites Learning from synthetic humans,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Learning from synthetic humans,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.557761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7888c2ec-6cc5-45fe-bcc7-f59dc19c9ca9 · outbound

This paper cites Articulated people detection and pose estimation: Reshaping the future,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Articulated people detection and pose estimation: Reshaping the future,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.542712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca8b0d3e-8717-4edc-ab00-000ad459aeda · outbound

This paper cites Synthesizing training images for boosting human 3d pose estimation,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Synthesizing training images for boosting human 3d pose estimation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.527651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 860957d5-b10b-49af-a28a-ca68e06ec45a · outbound

This paper cites Learning a non-linear knowledge transfer model for cross-view action recognition,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Learning a non-linear knowledge transfer model for cross-view action recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.510556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01f84561-04d7-4845-8de2-5bacdbfd6c36 · outbound

This paper cites 3d action recognition from novel view- points,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data 3d action recognition from novel view- points,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.494510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f1f6a5f-123e-4cfe-a667-7da7fa39e015 · outbound

This paper cites Learning people detection models from few training samples,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Learning people detection models from few training samples,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.479564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f54bb36-d9dd-49d2-a398-43801af9fb1b · outbound

This paper cites Unsupervised pixel-level domain adaptation with generative adver- sarial networks,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Unsupervised pixel-level domain adaptation with generative adver- sarial networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.465294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5996500e-a886-4724-8da7-a56e01e249ba · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.450175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b9166e2-ce0e-4bb1-8676-25e026226655 · outbound

This paper cites On rendering synthetic images for training an object detector,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data On rendering synthetic images for training an object detector,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:30:26.192061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0fdd53d-4c92-4ac2-95dc-d9d1f1f36970 · outbound

This paper cites Depthsynth: Real- time realistic synthetic data generation from cad models for 2.5 d recognition,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Depthsynth: Real- time realistic synthetic data generation from cad models for 2.5 d recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.423746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a0671e1f-7e89-4cd3-b7c9-13b21c062700 · outbound

This paper cites ResQbot: A mobile rescue robot for casualty extraction,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data ResQbot: A mobile rescue robot for casualty extraction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.408579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd5f9a23-97fa-46e9-becd-ea9bf71bfc31 · outbound

This paper cites ResQbot: A mobile rescue robot with immersive teleperception for casualty extraction,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data ResQbot: A mobile rescue robot with immersive teleperception for casualty extraction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.393562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a1dde6f7-e002-4eb2-8d6c-63ebce96fbdd · outbound

This paper cites Casualty detection for mobile rescue robots via ground-projected point clouds,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Casualty detection for mobile rescue robots via ground-projected point clouds,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.379597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f3dd158e-2bde-4492-9c1a-e05766283ed4 · outbound

This paper cites Casualty detection from 3d point cloud data for autonomous ground mobile rescue robots,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Casualty detection from 3d point cloud data for autonomous ground mobile rescue robots,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.364322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 119e3d93-9398-4b55-87fe-ae6fcf8655ed · outbound

This paper cites Gradient-based learning applied to document recognition,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Gradient-based learning applied to document recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.345699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41497873-8bb7-4442-ad8b-980097e60eef · outbound

This paper cites De- veloping and implementing parametric human body shape models in ergonomics software,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data De- veloping and implementing parametric human body shape models in ergonomics software,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.326572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f96080f-96b5-475f-aefe-137fcda7ab29 · outbound

This paper cites Human shapes - realistic human body shape modeler based on real data,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Human shapes - realistic human body shape modeler based on real data,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.311185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a45ed1ad-44cf-4337-809c-0d9b0fd8df04 · outbound

This paper cites Experimental review of distance sensors for indoor mapping,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Experimental review of distance sensors for indoor mapping,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.294651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1bf860a1-60e9-43ae-b50c-f747b719e5ea · outbound

This paper cites Bayesian optimization,.

Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Bayesian optimization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:30:26.278841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.