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Paper Citation Record · LEDGER

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.05076.

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

pith.paper-citation-record.v1
2505.05076 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:18:29.350470Z

measured 12 of 12 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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbc040f8-e423-4e48-aecb-bf61d6c15d99 · outbound

This paper cites Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T23:18:29.053251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.053251Z digest=sha256:bd5012c12b61c79814613a41d63d4acd31bdb508d7cc3cc12269597750c0adbe

Observation 7c5151e4-4ac3-4cf4-8a37-bd13ea3be988 · outbound

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

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Carla: An open urban driving simulator,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T23:18:29.061319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.061319Z digest=sha256:a1e1ccaa04dbc5e642f4aad3a1ba11836bd37bfdd02ad250f3cc1330efbade9d

Observation 95c8db03-ed0f-4866-af4a-7549c4565b79 · outbound

This paper cites University of michigan north campus long-term vision and lidar dataset,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes University of michigan north campus long-term vision and lidar dataset,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T23:18:29.069318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.069318Z digest=sha256:5c97a9dbcdeca3e71d9f8b82e99b5fa057e5438ba071712ee3d6117d2fe8c39d

Observation 151b8356-2193-40db-b4db-e8f7aa35e761 · outbound

This paper cites 1 year, 1000 km: The oxford robotcar dataset,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes 1 year, 1000 km: The oxford robotcar dataset,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:18:29.803452Z

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.

source=pdf_text observed=2026-08-15T23:18:29.076701Z digest=sha256:8c9d7464588d94ce37d558cb2a632c0a75d20628fad639ba8cae24c2436ae6ac

Observation 66b0d237-bc43-4eef-a54b-fda2ba69cfc6 · outbound

This paper cites Boreas: A multi-season autonomous driving dataset,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Boreas: A multi-season autonomous driving dataset,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T23:18:29.083254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.083254Z digest=sha256:5ca161f747ec5292f22de216bf96aa65d31fcce1c7a45986a6f461095f386748

Observation 84fb7216-b234-4668-8517-04915088a9be · outbound

This paper cites Mulran: Multimodal range dataset for urban place recognition,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Mulran: Multimodal range dataset for urban place recognition,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T23:18:29.090166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.090166Z digest=sha256:5b491702be16d07962422183722935e819b98f1ed03c705a7c0f77cae1e62a94

Observation 2ed3b5ec-21eb-4455-b9a9-2b7bdd3f92ef · outbound

This paper cites Helipr: Heterogeneous lidar dataset for inter-lidar place recognition under spatiotemporal variations,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Helipr: Heterogeneous lidar dataset for inter-lidar place recognition under spatiotemporal variations,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:18:29.691208Z

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.

source=pdf_text observed=2026-08-15T23:18:29.097759Z digest=sha256:3f740160a948d7144f4cceb1a6eca99ec9acd6643d7da96cc3bacee2a8beeb19

Observation b65a1c0b-69f6-45af-ae39-af742cb7bb77 · outbound

This paper cites Lt-mapper: A modular framework for lidar-based lifelong mapping,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Lt-mapper: A modular framework for lidar-based lifelong mapping,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:18:29.633718Z

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.

source=pdf_text observed=2026-08-15T23:18:29.143127Z digest=sha256:184b191cdfdf9c2dc3be50a08fcd37a47a44b6d2eb2193cd50e490c1f2d374a8

Observation 9c633f17-be44-439c-a4bb-58e9b575ad58 · outbound

This paper cites Scan context++: Structural place recognition robust to rotation and lateral variations in urban environments,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Scan context++: Structural place recognition robust to rotation and lateral variations in urban environments,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:18:29.571159Z

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.

source=pdf_text observed=2026-08-15T23:18:29.220930Z digest=sha256:67b7b0bb1ea46d1992081cea8e3fe8e998ed803f60ce65a7267e819ab12d8f1b

Observation 516934d1-744c-407a-97ad-7cc1ea998621 · outbound

This paper cites Narrowing your fov with solid: Spatially organized and lightweight global descriptor for fov-constrained lidar place recognition,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Narrowing your fov with solid: Spatially organized and lightweight global descriptor for fov-constrained lidar place recognition,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:18:29.292751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.292751Z digest=sha256:be7b6be41c7bb7ba001344e896eea48b9ce58c7825d0f7b761cbb532a242077a

Observation fcd2d18d-571b-4fe8-854f-c61014d6259d · outbound

This paper cites Ring++: Roto-translation invariant gram for global localization on a sparse scan map,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Ring++: Roto-translation invariant gram for global localization on a sparse scan map,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:18:29.455685Z

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.

source=pdf_text observed=2026-08-15T23:18:29.343162Z digest=sha256:8b3ad21767ebc6b7bf0d902e9eb197cf9e2c47e87b8c9bd6cd932563e4cef083

Observation 659fd02e-d776-48d7-9982-2770bc82f6a9 · outbound

This paper cites Btc: A binary and triangle combined descriptor for 3-d place recognition,.

The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes Btc: A binary and triangle combined descriptor for 3-d place recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:18:29.434664Z

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.

source=pdf_text observed=2026-08-15T23:18:29.350470Z digest=sha256:98aff54813c0c9f3fd0e96c17e4980b7c81a702e23e0aa032cd45cb25e320f2b

Pith citing papers

No inbound Pith citation observations are available.