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Paper Citation Record · LEDGER

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.19654.

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

pith.paper-citation-record.v1
2504.19654 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 76582358-e686-474c-ac73-4546004133a2 · outbound

This paper cites Loam: Lidar odometry and mapping in real- time.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Loam: Lidar odometry and mapping in real- time

Reference 1

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Observation 1e3ec43c-ab2b-40f3-b810-5e101be27596 · outbound

This paper cites Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,

Reference 2

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Observation 09d66c32-2a42-4073-befa-2c236b22beba · outbound

This paper cites Direct lidar odometry: Fast localisation with dense point clouds,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Direct lidar odometry: Fast localisation with dense point clouds,

Reference 3

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Observation 9b8a89ed-3d44-4422-8f97-14406778ba1f · outbound

This paper cites an unresolved cited work.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Unresolved cited work

Reference 4

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Observation c71e2e5f-b946-40fd-8c43-3a4eabcb32c0 · outbound

This paper cites “A flexible and scalable SLAM system with full 3D motion esti- mation.“ In 2011 IEEE international symposium on safety, security, and rescue robotics, pp.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “A flexible and scalable SLAM system with full 3D motion esti- mation.“ In 2011 IEEE international symposium on safety, security, and rescue robotics, pp

Reference 5

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cf61bd8f-3047-4045-9c81-5e23cb8ab559 · outbound

This paper cites A survey on lidar scanning mechanisms,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM A survey on lidar scanning mechanisms,

Reference 6

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Observation b6a218e5-7bbe-4036-b37d-98c4eb2d2431 · outbound

This paper cites “Convergence and consis- tency analysis for extended Kalman filter based SLAM.“ IEEE Transac- tions on robotics 23, no.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “Convergence and consis- tency analysis for extended Kalman filter based SLAM.“ IEEE Transac- tions on robotics 23, no

Reference 7

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Observation cdda43f3-6bf9-446b-ae91-5d3366f08e57 · outbound

This paper cites Monte carlo localisation for mobile robots,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Monte carlo localisation for mobile robots,

Reference 8

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Observation c24dcfda-d656-4270-9509-2049f363d06b · outbound

This paper cites Improved techniques for grid mapping with rao-blackwellized particle filters,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Improved techniques for grid mapping with rao-blackwellized particle filters,

Reference 9

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Observation 127b965e-4de1-4f07-8811-9ecd7b892e4a · outbound

This paper cites “FastSLAM: A factored solution to the simultaneous localization and mapping problem.“ Aaai/iaai 593598 (2002).

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “FastSLAM: A factored solution to the simultaneous localization and mapping problem.“ Aaai/iaai 593598 (2002)

Reference 10

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Observation 3dba900d-100d-4397-9ad2-7f29dcefe667 · outbound

This paper cites Bun- dle adjustment—a modern synthesis,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Bun- dle adjustment—a modern synthesis,

Reference 11

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Observation 5b0b8720-6ed3-4b7a-8224-a7c4fe614e42 · outbound

This paper cites an unresolved cited work.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Unresolved cited work

Reference 12

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Observation 86f739cf-8aad-4cd1-a098-eab19d05f703 · outbound

This paper cites “The graph SLAM algorithm with applications to large-scale mapping of urban structures.“ The Inter- national Journal of Robotics Research 25, no.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “The graph SLAM algorithm with applications to large-scale mapping of urban structures.“ The Inter- national Journal of Robotics Research 25, no

Reference 13

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Observation e79b276d-c010-4e94-88c6-3a11e0d788ea · outbound

This paper cites an unresolved cited work.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Unresolved cited work

Reference 14

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Observation 5a9f36dd-6bc6-4eb1-8837-e397b39e8e68 · outbound

This paper cites IEEE, 1985.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM IEEE, 1985

Reference 15

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Observation 3f10ae16-1a0e-4abc-858c-8320deea6fa3 · outbound

This paper cites Moravec, ”Sensor fusion in certainty grids for mobile robots.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Moravec, ”Sensor fusion in certainty grids for mobile robots

Reference 16

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Observation cc5dd11b-eb6e-4eca-9010-29aaec24b5e8 · outbound

This paper cites Mokssit, D.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Mokssit, D

Reference 17

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3d8470d6-71a6-4767-a09b-ff79b08440e5 · outbound

This paper cites “Deep learning for visual SLAM: the state-of- the-art and future trends.“ Electronics 12, no.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “Deep learning for visual SLAM: the state-of- the-art and future trends.“ Electronics 12, no

Reference 18

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Observation 31a0d669-76b1-4127-9b12-4f1f9cd46813 · outbound

This paper cites “Role of deep learning in loop closure detection for visual and lidar slam: A survey.“ Sensors 21, no.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “Role of deep learning in loop closure detection for visual and lidar slam: A survey.“ Sensors 21, no

Reference 19

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Observation e8099cfb-96f9-47f7-8ee2-a4936e091342 · outbound

This paper cites an unresolved cited work.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Unresolved cited work

Reference 20

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Observation 9c918f09-62bf-4d2d-bd9b-56050e0c3b4b · outbound

This paper cites Contrastive learning for unpaired image-to-image translation,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Contrastive learning for unpaired image-to-image translation,

Reference 21

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Observation 01640cc1-92f5-47d3-82ab-d23090474c28 · outbound

This paper cites Qs-attn: Query- selected attention for contrastive learning in i2i translation,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Qs-attn: Query- selected attention for contrastive learning in i2i translation,

Reference 22

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Observation cff6d0a5-f55b-4270-b185-332a6a1b8bee · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Photo-realistic single image super-resolution using a generative adversarial network,

Reference 23

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Observation d064b5a2-04bb-40d7-bdc3-b1a37fe5d7e6 · outbound

This paper cites Correction by Projection: Denoising Images with Generative Adversarial Networks.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Correction by Projection: Denoising Images with Generative Adversarial Networks

Reference 24

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Observation 582068a4-f76c-43f8-af53-2c321af6c1ca · outbound

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Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Unresolved cited work

Reference 25

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Observation 53040844-d47a-4983-bb92-8f24478f7996 · outbound

This paper cites Mit libraries.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Mit libraries

Reference 26

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Source-reported events for the cited work

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Observation 5772a7f3-f51c-4f9f-82ab-48598a0f33e3 · outbound

This paper cites “Real- time loop closure in 2D LIDAR SLAM.“ In 2016 IEEE international con- ference on robotics and automation (ICRA), pp.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “Real- time loop closure in 2D LIDAR SLAM.“ In 2016 IEEE international con- ference on robotics and automation (ICRA), pp

Reference 27

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Observation 08ae9f55-a06c-4d3a-8f8f-5961b264503b · outbound

This paper cites Efficient Sparse Pose Adjustment for 2D mapping[J].

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Efficient Sparse Pose Adjustment for 2D mapping[J]

Reference 28

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Observation 0183bb0f-3ab9-417d-ad98-6ff47c7b41e9 · outbound

This paper cites an unresolved cited work.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 41b677db-608e-4add-b045-0d913ea354c9 · outbound

This paper cites Method for registration of 3-d shapes,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Method for registration of 3-d shapes,

Reference 30

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f4c34c28-9b90-4f31-884c-96ca3ec99909 · outbound

This paper cites Segal, D.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Segal, D

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 26abe105-2b75-45a8-be2d-1d4f26b8a9fe · outbound

This paper cites Generative adversarial net- works,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Generative adversarial net- works,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41297814-4513-4130-b274-35a83b62b3f8 · outbound

This paper cites “F-loam: Fast lidar odometry and mapping.“ In 2021 IEEE /RSJ International Confer- ence on Intelligent Robots and Systems (IROS), pp.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “F-loam: Fast lidar odometry and mapping.“ In 2021 IEEE /RSJ International Confer- ence on Intelligent Robots and Systems (IROS), pp

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 34cd587f-8ab3-4fe8-a01e-029dc9cd2654 · outbound

This paper cites A portable three-dimensional lidar-based system for long-term and wide-area people behavior measure- ment,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM A portable three-dimensional lidar-based system for long-term and wide-area people behavior measure- ment,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.291459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.864290Z digest=sha256:e4fe4b071e127f34b350ad5fbab7e4b9995ff673100dcc2576925909d26b9881

Observation 5c39c996-bcfd-4a1f-a7cd-7c3726da45df · outbound

This paper cites Super- glue:Learning feature matching with graph neural networks,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Super- glue:Learning feature matching with graph neural networks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.277103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.869534Z digest=sha256:d5c058ff1cf2320d86c9ef926bc8a95ed53538ae5d44ceda9f04e31d629b5699

Observation c234b37c-7160-4f6c-bd7e-d9724c690bec · outbound

This paper cites D-lc-nets: Robust denoising and loop closing networks for lidar slam in complicated cir- cumstances with noisy point clouds,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM D-lc-nets: Robust denoising and loop closing networks for lidar slam in complicated cir- cumstances with noisy point clouds,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.262764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.875607Z digest=sha256:21cf27bbe3a588c05a939d2f02bcafd0f2d2b739b642a0922355beeb0539a1f0

Observation 6b29d2c7-77a2-405c-b967-3bb8f5d7d7d3 · outbound

This paper cites Lpd-net: 3d point cloud learning for large-scale place recognition and environment analysis,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Lpd-net: 3d point cloud learning for large-scale place recognition and environment analysis,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.248456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.880710Z digest=sha256:72e353b1fb697533795d803d2e063a27b116134b46ddbb6e4458247d657f5e17

Observation 43191481-4ccf-4fee-b97b-dc41cc85be2e · outbound

This paper cites OverlapNet: Loop Closing for LiDAR-based SLAM.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM OverlapNet: Loop Closing for LiDAR-based SLAM

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T05:51:01.885478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:51:01.885478Z digest=sha256:83557ae44b84488925230ff5a22d7030eadf24dbe1b8778018124c4d37e9a8a8

Observation 0ff56d5f-1b8e-4b45-bd41-eaaeb3d4adc1 · outbound

This paper cites Map completion from partial observation using the global structure of multiple environmental maps.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Map completion from partial observation using the global structure of multiple environmental maps

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.231579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.890487Z digest=sha256:a3faef059b5937fab913fcd59157a263266d678f2eca7206b2be4ed11216c199

Observation 0f1ec851-5b78-425d-9eb0-855e1f127ea6 · outbound

This paper cites Online global loop closure detection for large- scale multi-session graph-based slam,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Online global loop closure detection for large- scale multi-session graph-based slam,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.213447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.896176Z digest=sha256:7ab8cfaf239753961cbc69f601e26283719c4b53d2930fa5bcb5b29dafb43683

Observation 7152e0fe-e85b-4c7d-8434-d8498aa08fda · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Perceptual losses for real-time style transfer and super-resolution,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.197932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.901143Z digest=sha256:4f5f513f0cf7d413a308056ccebe35da12b9481d2bc55904d6c8a1887318dc97

Observation 20028728-3bea-463f-b3ba-5b9fc1ded6e1 · outbound

This paper cites Style transfer by relaxed optimal transport and self-similarity,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Style transfer by relaxed optimal transport and self-similarity,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.182000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.906722Z digest=sha256:9eb90d0681638050cb471534e1fe9d766d6da314ef4baefd43574ee24d649af3

Observation efdc57ac-9694-4d14-acf5-bcc0a5afdfad · outbound

This paper cites “Fr ´echet inception distance (fid) for evaluating gans.“ China University of Mining Technology Beijing Graduate School (2021).

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM “Fr ´echet inception distance (fid) for evaluating gans.“ China University of Mining Technology Beijing Graduate School (2021)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.160863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.912175Z digest=sha256:dd5cbd802f50b35423422a9c0d5c65b016627543dd2f26049fa3d6a69e8cbd14

Observation a080577e-9c9a-4951-b189-7d452df00c03 · outbound

This paper cites HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:51:01.919096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:51:01.919096Z digest=sha256:815151feeb20de8467ac882b6a85a826347164c2337b24059c8986832fad6bca

Observation eceda9f8-dbcd-4234-bf81-b455e2df3342 · outbound

This paper cites Semantic scene completion from a single depth image,.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Semantic scene completion from a single depth image,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:51:02.141666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:51:01.923779Z digest=sha256:7ae9b735235a1d52aa2722bc22ea2c7326b771fcd374198d6a7128848612476b

Observation a150e35c-a9e3-4619-9eeb-87262cb1eff6 · outbound

This paper cites Springer, Cham.

Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM Springer, Cham

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T05:51:01.816288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:51:01.816288Z digest=sha256:2a3a4ff62feebb134424b86d53440a4e32f2912a386d681affb185a7bb853856

Pith citing papers

No inbound Pith citation observations are available.