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Paper Citation Record · LEDGER

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2508.16731.

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

pith.paper-citation-record.v1
2508.16731 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:16:03.561753Z

measured 41 of 41 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T02:19:53.978233Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T02:26:43.049941Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f841c26-f3a1-4d91-9dad-9e4f01fe64bb · outbound

This paper cites Towards collabo- rative simultaneous localization and mapping: a survey of the current research landscape,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Towards collabo- rative simultaneous localization and mapping: a survey of the current research landscape,

Reference 1

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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.

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Observation cd23cd53-b7cb-47b5-9eab-af430ebdaaeb · outbound

This paper cites Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,

Reference 2

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raw_fallback, observed 2026-08-05T17:16:08.914862Z

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.

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Observation 3506fbfd-4b43-4e26-9b48-86757c7b26c7 · outbound

This paper cites Fast iterative alignment of pose graphs with poor initial estimates,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Fast iterative alignment of pose graphs with poor initial estimates,

Reference 3

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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.

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Observation 34a3b5ec-f3df-44c2-8ba1-7850a68bbacd · outbound

This paper cites From angular manifolds to the integer lattice: Guaranteed orientation estimation with application to pose graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization From angular manifolds to the integer lattice: Guaranteed orientation estimation with application to pose graph optimization,

Reference 4

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raw_fallback, observed 2026-08-05T17:16:08.859983Z

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.

source=pdf_text observed=2026-08-05T17:16:00.097335Z digest=sha256:c13d7d1c204a93199c2b9bf98b76c2ec9a69c26b6e4c17c1666170949d704ca4

Observation e8c3aee3-3cf9-4d83-8100-08edcb7bd8bf · outbound

This paper cites Initialization techniques for 3D SLAM: A survey on rotation estimation and its use in pose graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Initialization techniques for 3D SLAM: A survey on rotation estimation and its use in pose graph optimization,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T17:16:08.838262Z

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.

source=pdf_text observed=2026-08-05T17:16:00.233893Z digest=sha256:082766371f1d9efe2213c130925e817c8dc29f78b6e035ea2e5902e72f2caba2

Observation 2ef06800-3d35-48ac-a9a7-f1bd54cf83c7 · outbound

This paper cites A fast and accurate approximation for planar pose graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization A fast and accurate approximation for planar pose graph optimization,

Reference 6

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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.

source=pdf_text observed=2026-08-05T17:16:00.299329Z digest=sha256:1e86804d954900e3ea156e022e4c6b5ae00d34d254e42226f5027a1866e424b8

Observation 75f3d57b-3f76-4692-ae98-5e0c25dafc53 · outbound

This paper cites SE-Sync: A certifiably correct algorithm for synchronization over the special euclidean group,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization SE-Sync: A certifiably correct algorithm for synchronization over the special euclidean group,

Reference 7

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raw_fallback, observed 2026-08-05T17:16:08.797036Z

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.

source=pdf_text observed=2026-08-05T17:16:00.424731Z digest=sha256:bdd4180786f70420a3b3332585a172fc9bbe7544e1a58bed6dbe43031f45ad50

Observation bd119962-93d8-48b7-bfc8-f52f5527f38c · outbound

This paper cites iMCB-PGO: Incremental minimum cycle basis construction and application to online pose graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization iMCB-PGO: Incremental minimum cycle basis construction and application to online pose graph optimization,

Reference 8

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raw_fallback, observed 2026-08-05T17:16:08.674679Z

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.

source=pdf_text observed=2026-08-05T17:16:00.556104Z digest=sha256:d751f8a8aadd1b1aaf5c385005864069121fec8866e13c9cfad6d8ab524cd2c0

Observation cb750b1f-1245-474e-849a-5671b6ecc067 · outbound

This paper cites SuperNoV A: Algorithm-hardware co-design for resource-aware slam,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization SuperNoV A: Algorithm-hardware co-design for resource-aware slam,

Reference 9

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raw_fallback, observed 2026-08-05T17:16:08.378206Z

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.

source=pdf_text observed=2026-08-05T17:16:00.648444Z digest=sha256:eb5d027f69b261dd59785d4a32d8339bb5e44bdae6721f291a1be6786c13b03f

Observation d938918e-ab94-4e9a-9e34-41833be47ff9 · outbound

This paper cites Exactly sparse memory efficient SLAM using the multi-block alternating direction method of multipliers,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Exactly sparse memory efficient SLAM using the multi-block alternating direction method of multipliers,

Reference 10

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raw_fallback, observed 2026-08-05T17:16:08.167237Z

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.

source=pdf_text observed=2026-08-05T17:16:00.750133Z digest=sha256:e6cbab3e93dc41e80dfc7efbf33490ba1f64c748bea5246c1cb8f36f1cfdf8c8

Observation 44deeee4-51bc-4e36-978b-ff1039ee377b · outbound

This paper cites GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization

Reference 11

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unresolved
no resolver link, observed 2026-08-05T17:16:00.853129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:16:00.853129Z digest=sha256:ee8aecae20f8025e22870dea638f823ddd273ee944c049fe08180c73056d3061

Observation 8403c824-20d7-4f7e-915c-dcbbe6dabde9 · outbound

This paper cites Distributed certifiably correct pose-graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Distributed certifiably correct pose-graph optimization,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:16:07.974531Z

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.

source=pdf_text observed=2026-08-05T17:16:00.954533Z digest=sha256:66d25a6969f0270189cd7b97f0da64955a8acc1d5f5c3ab8a360ad26f6e6399d

Observation b39264e0-77b6-43d6-9f6a-87e18110fb66 · outbound

This paper cites Asynchronous and parallel distributed pose graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Asynchronous and parallel distributed pose graph optimization,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-05T17:16:07.670299Z

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.

source=pdf_text observed=2026-08-05T17:16:01.081697Z digest=sha256:f1edfd75d0aed5b74c78a0557ac9bb7a6d73dc2a8156881fb7c1b53b111b7df1

Observation 2aa4fb12-b21c-490b-8bc5-6264a6527f32 · outbound

This paper cites Localized and incremental probabilistic inference for large-scale networked dynamical systems,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Localized and incremental probabilistic inference for large-scale networked dynamical systems,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T17:16:07.466372Z

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.

source=pdf_text observed=2026-08-05T17:16:01.173695Z digest=sha256:1ed187a0607c8837bfd263c64b4104bf64cf7c13832a2e04c99fb6a007e887f0

Observation cedd1b20-cd72-4f11-af42-b82e3a5ca34b · outbound

This paper cites Majorization minimization methods for distributed pose graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Majorization minimization methods for distributed pose graph optimization,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T17:16:07.215458Z

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.

source=pdf_text observed=2026-08-05T17:16:01.238991Z digest=sha256:bfe99b7434ac73c1034106318655b3d8da54cb6d339324fab0f9c9aac329b937

Observation 53462799-60b1-4a12-a8c1-08e031a2aa84 · outbound

This paper cites Asynchronous distributed smoothing and mapping via on-manifold consensus ADMM,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Asynchronous distributed smoothing and mapping via on-manifold consensus ADMM,

Reference 16

Resolution
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raw_fallback, observed 2026-08-05T17:16:06.996000Z

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.

source=pdf_text observed=2026-08-05T17:16:01.312228Z digest=sha256:6dc31c8db7d77789369f394a83badbcc7281742bdf5b4bfb0e05ac1cb602faff

Observation 215f9665-b7a5-4ed1-8b43-961eb4f9170a · outbound

This paper cites Lidar odometry survey: recent advancements and remaining challenges,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Lidar odometry survey: recent advancements and remaining challenges,

Reference 17

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raw_fallback, observed 2026-08-05T17:16:06.833544Z

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.

source=pdf_text observed=2026-08-05T17:16:01.376718Z digest=sha256:579a8ee019e95c386873e6422515362da8ceaa87b3afac073d79aa4ff44947a8

Observation af427fcc-38ca-455d-b377-19abd9db2929 · outbound

This paper cites DDF-SAM 2.0: Consistent distributed smoothing and mapping,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization DDF-SAM 2.0: Consistent distributed smoothing and mapping,

Reference 18

Resolution
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raw_fallback, observed 2026-08-05T17:16:06.658044Z

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.

source=pdf_text observed=2026-08-05T17:16:01.476058Z digest=sha256:a85ccdd21735226088d88fc839ea71592818c117ee8e6a743a42c5c36bf89150

Observation 98c3c0d3-d998-4125-b32a-1504f17e5cd2 · outbound

This paper cites Distributed mapping with privacy and communication constraints: Lightweight algorithms and object-based models,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Distributed mapping with privacy and communication constraints: Lightweight algorithms and object-based models,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:16:06.493770Z

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.

source=pdf_text observed=2026-08-05T17:16:01.573799Z digest=sha256:a09ff7dcee5f5396e499ed2b13717b2b1b6ccbc4e138e05050bf2cbc330c0458

Observation f0cabeae-f68d-4922-9659-3b1c6ab134c9 · outbound

This paper cites A robot web for distributed many-device localization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization A robot web for distributed many-device localization,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-05T17:16:06.322463Z

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.

source=pdf_text observed=2026-08-05T17:16:01.675566Z digest=sha256:d728b4bada7c72b6858db94b2e9bff044cfbe2638c2641b1096185bb2cc3c3f8

Observation 7505f6c3-329d-42d7-9776-114dc4cb2cfe · outbound

This paper cites iMESA: Incremental distributed optimiza- tion for collaborative simultaneous localization and mapping,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization iMESA: Incremental distributed optimiza- tion for collaborative simultaneous localization and mapping,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:16:06.160084Z

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.

source=pdf_text observed=2026-08-05T17:16:01.834422Z digest=sha256:27fb4bedfb7161ddae9315730d928207d9bb78b642ecd93ed26325e67a36e320

Observation f195626b-5c93-4fdf-a0f6-d46bbdc66698 · outbound

This paper cites Hyperion–a fast, versatile symbolic gaussian belief propagation framework for continuous-time SLAM,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Hyperion–a fast, versatile symbolic gaussian belief propagation framework for continuous-time SLAM,

Reference 22

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raw_fallback, observed 2026-08-05T17:16:05.997826Z

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.

source=pdf_text observed=2026-08-05T17:16:01.943781Z digest=sha256:1763ab5516a9e28f18170513dbc1b6bda6343b93c2e6e1b3988a872e87a43336

Observation af00ce6d-30e9-4074-a452-261bbf43dd7a · outbound

This paper cites G2o: A general framework for graph optimization,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization G2o: A general framework for graph optimization,

Reference 23

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raw_fallback, observed 2026-08-05T17:16:05.837346Z

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.

source=pdf_text observed=2026-08-05T17:16:02.067881Z digest=sha256:9cee06827f16419d948e791d68d00bab30e8da8b95a4fcbedc22cc5eb418c743

Observation 4948d3c2-d3c7-4942-a14e-d0caae90d386 · outbound

This paper cites Nonlinear constraint network optimization for efficient map learning,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Nonlinear constraint network optimization for efficient map learning,

Reference 24

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raw_fallback, observed 2026-08-05T17:16:05.716996Z

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.

source=pdf_text observed=2026-08-05T17:16:02.220334Z digest=sha256:aa420472c1888bdb87937b8c255930d036b8c58978e29fc01ad9ceb38861b72a

Observation cd7b4f9a-5820-4d48-9bd7-d203971de238 · outbound

This paper cites GRACO: A multimodal dataset for ground and aerial cooperative localization and mapping,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization GRACO: A multimodal dataset for ground and aerial cooperative localization and mapping,

Reference 25

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raw_fallback, observed 2026-08-05T17:16:05.560815Z

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.

source=pdf_text observed=2026-08-05T17:16:02.304099Z digest=sha256:6bed5d3877f2c2c7041ea4ec568100a1544d0258fd117a728bcf32f26a146df7

Observation abf8d541-89f3-4cdb-a4ac-d0f75a6b6f8b · outbound

This paper cites Resilient and distributed multi-robot visual SLAM: Datasets, experiments, and lessons learned,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Resilient and distributed multi-robot visual SLAM: Datasets, experiments, and lessons learned,

Reference 26

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raw_fallback, observed 2026-08-05T17:16:05.422233Z

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.

source=pdf_text observed=2026-08-05T17:16:02.447653Z digest=sha256:ac3afdcb6f8ed4d6c3794a5be374e4fc48a0e3366ccfa2e4ce5c79713ab169d8

Observation b531040f-24c3-4436-a79b-934a5a0868ba · outbound

This paper cites S3E: A multi-robot multimodal dataset for collaborative SLAM,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization S3E: A multi-robot multimodal dataset for collaborative SLAM,

Reference 27

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raw_fallback, observed 2026-08-05T17:16:05.286665Z

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.

source=pdf_text observed=2026-08-05T17:16:02.565421Z digest=sha256:44028b94a2e45663dd9763b7cd5f62c5b3343b6eb0b245f4db219077a99957ac

Observation b1e0ffdb-ce9d-43f0-800a-ab7f9c859e43 · outbound

This paper cites DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments

Reference 28

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local_arxiv, observed 2026-08-05T17:16:03.978931Z

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.

source=pdf_text observed=2026-08-05T17:16:02.682687Z digest=sha256:710a9826ce4a10d7e95381e4e6bf5eedd271f83497720cee64bc846d3ac23dde

Observation 0ecd2a78-5710-4b29-8c5c-403e16405630 · outbound

This paper cites CoPeD – advancing multi-robot collaborative perception: A comprehensive dataset in real-world environments,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization CoPeD – advancing multi-robot collaborative perception: A comprehensive dataset in real-world environments,

Reference 29

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raw_fallback, observed 2026-08-05T17:16:05.191312Z

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.

source=pdf_text observed=2026-08-05T17:16:02.797421Z digest=sha256:90b8cbccff0896726d1b3d3f896fbccd4552b8eb765e00215adca62d3bb173c0

Observation 1ca94b40-f3f7-4dec-a24d-e5738de6201a · outbound

This paper cites CU-Multi: A Dataset for Multi-Robot Data Association.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization CU-Multi: A Dataset for Multi-Robot Data Association

Reference 30

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no resolver link, observed 2026-08-05T17:16:02.878617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:16:02.878617Z digest=sha256:b545f6db25613eabc90dba01f0733fb27c9cd3326bccb018e75a0c3f44d1e6ca

Observation 0aacc7bc-a368-408f-b6a2-6ba1087df090 · outbound

This paper cites The UTIAS multi-robot cooperative localization and mapping dataset,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization The UTIAS multi-robot cooperative localization and mapping dataset,

Reference 31

Resolution
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raw_fallback, observed 2026-08-05T17:16:05.054006Z

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.

source=pdf_text observed=2026-08-05T17:16:02.997385Z digest=sha256:797b92de0848b07123bef3e3062c3c1af7b9367ca51690f05aa85b3c4041ae70

Observation c9d0071d-db58-42bf-941b-5650d176781a · outbound

This paper cites LAMP 2.0: A robust multi-robot SLAM system for operation in challenging large-scale underground environments,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization LAMP 2.0: A robust multi-robot SLAM system for operation in challenging large-scale underground environments,

Reference 32

Resolution
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raw_fallback, observed 2026-08-05T17:16:04.932356Z

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.

source=pdf_text observed=2026-08-05T17:16:03.066719Z digest=sha256:d1d8f96270437bd006a6cfc6c430a367909f6fa0d878aa5951d8e04c00d9f2ee

Observation 5029fa1b-2c27-4eeb-b7ba-efc937a4484b · outbound

This paper cites MCD: Diverse large-scale multi-campus dataset for robot perception,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization MCD: Diverse large-scale multi-campus dataset for robot perception,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T17:16:04.766104Z

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.

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Observation 98fb3496-88a8-4992-8353-306cca82ef53 · outbound

This paper cites A Comprehensive Evaluation of LiDAR Odometry Techniques.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization A Comprehensive Evaluation of LiDAR Odometry Techniques

Reference 34

Resolution
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Observation aafbaf61-4da1-41f6-9966-a0950a1ad0f5 · outbound

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

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization LOAM: Lidar odometry and mapping in real- time.,

Reference 35

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Observation bfc06287-984b-409d-8cea-1cb9b9f85975 · outbound

This paper cites Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,

Reference 36

Resolution
verified fuzzy
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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.

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Observation 730b2af9-be45-4d78-a363-068b6a5de586 · outbound

This paper cites KISS-Matcher: Fast and robust point cloud registration revisited,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization KISS-Matcher: Fast and robust point cloud registration revisited,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:16:04.369347Z

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.

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Observation 6f30a2b7-9f00-4673-bcc6-434b38497be2 · outbound

This paper cites Multi-robot decentralized collabo- rative SLAM in planetary analogue environments: Dataset, challenges, and lessons learned,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization Multi-robot decentralized collabo- rative SLAM in planetary analogue environments: Dataset, challenges, and lessons learned,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:16:04.227773Z

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.

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Observation a7973330-6b7b-46e8-9cce-b2a768f44cb3 · outbound

This paper cites A micro Lie theory for state estimation in robotics.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization A micro Lie theory for state estimation in robotics

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:16:03.465521Z digest=sha256:d471cccde55342619838e06a6c757104075662dd4e62015866bf57607df33887

Observation eb948430-ffc1-4ce2-993b-5aab655f4618 · outbound

This paper cites An accurate closed-form estimate of ICP’s covariance,.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization An accurate closed-form estimate of ICP’s covariance,

Reference 40

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

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Pith citing papers

Observation 127d7225-1bab-40ca-bef5-e1d54c8a5307 · inbound

Learning Adaptive Solvers for Distributed Factor Graph Optimization on Matrix Lie Groups cites this paper.

Learning Adaptive Solvers for Distributed Factor Graph Optimization on Matrix Lie Groups COSMO-Bench: A Benchmark for Collaborative SLAM Optimization

Reference 177

Resolution
verified exact
local_arxiv, observed 2026-07-10T02:26:43.051456Z

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

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