Paper Citation Record · LEDGER

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox

As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.16413.

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

pith.paper-citation-record.v1
2507.16413 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:15:08.603883Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

verified exact2
verified fuzzy15
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57c594a7-02c9-4a0b-9033-c6e04aff32b7 · outbound

This paper cites an unresolved cited work.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:15:09.182346Z

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 df5ffd98-fdbb-407a-8df0-64ef281f6fbb · outbound

This paper cites Carla: An open urban driving simulator,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Carla: An open urban driving simulator,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:08.354793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad4917e-a9de-4424-a088-97499a458e24 · outbound

This paper cites Nvidia drive sim,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Nvidia drive sim,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:09.140467Z

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 e35a8a54-37ed-4e50-ab9b-7292337503de · outbound

This paper cites Ssda3d: semi-supervised domain adaptation for 3d object detection from point cloud,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Ssda3d: semi-supervised domain adaptation for 3d object detection from point cloud,

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T15:15:08.665087Z

Source-reported events for the cited work

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Observation 9d1ed43f-67ba-4bc1-93a6-1e2bb082eee4 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:08.397640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4733c61e-af51-41cd-aa60-35facba00144 · outbound

This paper cites Trainsim: A railway simulation framework for lidar and camera dataset generation,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Trainsim: A railway simulation framework for lidar and camera dataset generation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:09.102938Z

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 d7afbd36-103e-408d-ae36-648ceca1b09b · outbound

This paper cites Scenario-based validation of automated train systems using a 3d virtual railway environment,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Scenario-based validation of automated train systems using a 3d virtual railway environment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:09.080762Z

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 e9dd7b1f-4088-49a3-911b-826b0490af8e · outbound

This paper cites Conditional weighted ensemble of transferred models for camera based onboard pedestrian detection in railway driver support systems,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Conditional weighted ensemble of transferred models for camera based onboard pedestrian detection in railway driver support systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:09.062295Z

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 8a5e29cd-1f3e-4964-bdf7-6f7387a8026a · outbound

This paper cites Enhancing safety in railway environments: Interpretable track and obstacle detection using on-board lidar,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Enhancing safety in railway environments: Interpretable track and obstacle detection using on-board lidar,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:09.042690Z

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 18453acb-7cb8-4549-a575-f73b397b5fa5 · outbound

This paper cites Syndra: Synthetic dataset for railway applications,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Syndra: Synthetic dataset for railway applications,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:08.451139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5049c930-95a5-42ec-8a9f-0e438115d967 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:08.460514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70ccd57-8af3-4614-a10f-ef2f858bbd7b · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.989728Z

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 89fa47be-301e-4625-963b-d4f40ff030f7 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox nuscenes: A multimodal dataset for autonomous driving,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:08.482896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d167b61a-032a-40c4-8f05-fdec32f42c0e · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Scalability in perception for autonomous driving: Waymo open dataset,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:08.494156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5206cf2-4caf-4cfd-86e8-948bc2a2adf6 · outbound

This paper cites RailGoerl24: G\"orlitz Rail Test Center CV Dataset 2024.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox RailGoerl24: G\"orlitz Rail Test Center CV Dataset 2024

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:15:08.705487Z

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 7b1ff1a6-a226-4945-a74a-5ab2eb700bfd · outbound

This paper cites Railsem19: A dataset for semantic rail scene understand- ing,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Railsem19: A dataset for semantic rail scene understand- ing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.936000Z

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 8f62c721-0062-4a8e-9c60-07e6a805b401 · outbound

This paper cites An effective railway intrusion detection method using dynamic intrusion region and lightweight neural network,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox An effective railway intrusion detection method using dynamic intrusion region and lightweight neural network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.917425Z

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 a113daa3-cae9-4818-b5e2-71b273f9f6df · outbound

This paper cites Railset: A unique dataset for railway anomaly detection,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Railset: A unique dataset for railway anomaly detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.896611Z

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 0e60da7f-6cd9-4834-91e7-30b9f807b9b0 · outbound

This paper cites Railenv-pasmvs: A perfectly accurate, synthetic, path-traced dataset featuring a virtual railway environment for multi-view stereopsis training and reconstruction applications,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Railenv-pasmvs: A perfectly accurate, synthetic, path-traced dataset featuring a virtual railway environment for multi-view stereopsis training and reconstruction applications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.874556Z

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 a9b41692-75d4-47e0-8ca8-c3a17ae1fd07 · outbound

This paper cites 3d object detection on synthetic point clouds for railway applications,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox 3d object detection on synthetic point clouds for railway applications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.848613Z

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 a94c59c9-765e-411f-8c95-c880b4e47c75 · outbound

This paper cites Osdar23: Open sensor data for rail 2023,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Osdar23: Open sensor data for rail 2023,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.827342Z

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 c38d9442-e773-449f-b8ca-150246ccc363 · outbound

This paper cites Center-based 3d object detection and tracking,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Center-based 3d object detection and tracking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.804334Z

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 0805fe01-2b29-4df4-bee9-d20eedbe023f · outbound

This paper cites St3d: Self-training for unsupervised domain adaptation on 3d object detection,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox St3d: Self-training for unsupervised domain adaptation on 3d object detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.778876Z

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 4dba0224-320e-4bbf-98ab-4260ac1bbba7 · outbound

This paper cites Openpcdet: An open-source toolbox for 3d object detec- tion from point clouds,.

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox Openpcdet: An open-source toolbox for 3d object detec- tion from point clouds,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:15:08.750686Z

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.

Pith citing papers

No inbound Pith citation observations are available.