Paper Citation Record · LEDGER

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.06771.

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

pith.paper-citation-record.v1
2506.06771 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:22.439719Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy21
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c42c3f6-bae4-4891-aff8-602334a6d2ce · outbound

This paper cites Orb- slam: A versatile and accurate monocular slam system,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Orb- slam: A versatile and accurate monocular slam system,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.353942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecfd3903-9d25-4665-9f33-572e1ca6a5c5 · outbound

This paper cites The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:18.780715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4935d318-729c-4483-9df5-98cdb9f86b5f · outbound

This paper cites Fab-map: Probabilistic localization and mapping in the space of appearance,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Fab-map: Probabilistic localization and mapping in the space of appearance,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.339188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40387403-bbbe-45c2-9dd9-41ee098b96ad · outbound

This paper cites Visual odom- etry for ground vehicle applications,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Visual odom- etry for ground vehicle applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.323501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01fc934f-7a57-4045-8569-9f2bb211331c · outbound

This paper cites Pedes- trian detection: A benchmark,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Pedes- trian detection: A benchmark,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.307834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15229d4b-9b07-44c9-951d-7d059b89583f · outbound

This paper cites Semantic object classes in video: A high-definition ground truth database,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Semantic object classes in video: A high-definition ground truth database,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.291716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6bfde8bb-8cc1-4761-84be-ce2f100f361a · outbound

This paper cites Ford campus vision and lidar data set,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Ford campus vision and lidar data set,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.274795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d55866a-bf88-4308-84d1-3b43a7db73de · outbound

This paper cites Exploiting the power of stereo confidences,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Exploiting the power of stereo confidences,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.255578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cff003b-f151-4a6b-a07f-13ed8a12486d · outbound

This paper cites The malaga urban dataset: High- rate stereo and lidar in a realistic urban scenario,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping The malaga urban dataset: High- rate stereo and lidar in a realistic urban scenario,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:26.157650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25449c2a-c428-42de-872d-90f010bd0bbe · outbound

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

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:25.869439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e72e6196-44fc-4761-ab14-1a2a51777c7c · outbound

This paper cites The euroc micro aerial vehicle datasets,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping The euroc micro aerial vehicle datasets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:25.634040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cb242aa-e1d1-4478-92b3-443c2b9053b2 · outbound

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

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping 1 year, 1000 km: The oxford robotcar dataset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:25.385107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e837643f-f6f9-4d00-9e7e-57665f87eec4 · outbound

This paper cites 4seasons: A cross- season dataset for multi-weather slam in autonomous driving,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping 4seasons: A cross- season dataset for multi-weather slam in autonomous driving,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:25.162799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8033b33-2af1-49cf-9445-a8d1ae388dad · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:20.872916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f9d5daf-484d-48ab-99c9-7ede5529894a · outbound

This paper cites Distinctive image features from scale- invariant keypoints,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Distinctive image features from scale- invariant keypoints,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:24.894810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c584b9ca-3a9b-4934-bc4f-bdd57b6ab36a · outbound

This paper cites Orb: An efficient alternative to sift or surf,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Orb: An efficient alternative to sift or surf,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:24.695867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e34501ff-3174-4b0b-bb20-e3be644d8aa4 · outbound

This paper cites Brief: Binary robust independent elementary features,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Brief: Binary robust independent elementary features,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:24.593743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 858f2288-a20f-4a33-b9c3-3d31bbb84c92 · outbound

This paper cites Daisy: An efficient dense descriptor applied to wide-baseline stereo,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Daisy: An efficient dense descriptor applied to wide-baseline stereo,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:24.424499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a04d8e2-b3e4-4c9d-8760-9fb20b33fd0f · outbound

This paper cites Mixvpr: Fea- ture mixing for visual place recognition,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Mixvpr: Fea- ture mixing for visual place recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:24.292012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1208c08-230a-48c5-a011-e7abc20598f0 · outbound

This paper cites Transvpr: Transformer-based place recognition with multi-level attention aggregation,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Transvpr: Transformer-based place recognition with multi-level attention aggregation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:23.920816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a15700c-cd96-45de-b9e5-95034e23a9a5 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Superglue: Learning feature matching with graph neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:23.607282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e8ed51f-9555-4ef2-a432-e1bc43688e3d · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:23.178646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a65ac79c-f806-444f-9d52-103f10ab8f46 · outbound

This paper cites Deep- factors: Real-time probabilistic dense monocular slam,.

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping Deep- factors: Real-time probabilistic dense monocular slam,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:22.889000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.