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Paper Citation Record · LEDGER

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

As of 23 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 7 inbound Pith citation observations for arXiv:2506.18678.

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

pith.paper-citation-record.v1
2506.18678 v2

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:49:31.800563Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:14:20.605088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:13:16.628409Z

Reference resolution

96 of 96 outbound references displayed

  • verified exact3
  • verified fuzzy35
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b105547-a45b-4fed-b1a2-f0015b632dc0 · outbound

This paper cites Foundations of spatial perception for robotics: Hierarchical representations and real-time systems,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Foundations of spatial perception for robotics: Hierarchical representations and real-time systems,

Reference 1

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source=pdf_text observed=2026-08-15T18:49:31.226310Z digest=sha256:2fdcf9d52ce78c44e5b7a0958a3136b15fd1cc8c4b80374f7b8e40c03b49f232

Observation 55640800-63c6-4ea0-8fdc-518d5d1c3e96 · outbound

This paper cites ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 2

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source=pdf_text observed=2026-08-15T18:49:31.232507Z digest=sha256:9b29e235f9b69b60d527ffc94f96de9cc383ca44b9de8e94d06332aab9cbdc73

Observation 05a5131e-a09d-4122-8915-a94b608d3feb · outbound

This paper cites Mag-MM: Magnetic-enhanced multi-session mapping in repetitive environments,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mag-MM: Magnetic-enhanced multi-session mapping in repetitive environments,

Reference 3

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source=pdf_text observed=2026-08-15T18:49:31.238518Z digest=sha256:94e7849a66be8c312eeb008d87b9300b04c9fbf3459d015071e96c989c63a972

Observation 42de144b-2980-4bdc-a5ab-6546feb93ab3 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Orb-slam: A versatile and accurate monocular slam system,

Reference 4

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source=pdf_text observed=2026-08-15T18:49:31.243919Z digest=sha256:f8e40a0e511a2a1ad5baa86d74c33a3ea58ffcbaa04a7f8512f53681a2a31978

Observation ee37ec4d-9cba-4c42-88ee-64dd2b0d9609 · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Vins-mono: A robust and versatile monocular visual-inertial state estimator,

Reference 5

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source=pdf_text observed=2026-08-15T18:49:31.248825Z digest=sha256:4ee10746d2dcaee17e4dd90277ddc8b9ce20d63a2748132599b8fc42edf2156b

Observation 876186f6-23fc-4e9d-b1b4-1bf2cf0fe24f · outbound

This paper cites V oxel-based localization and mapping for multirobot system in gps-denied environments,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation V oxel-based localization and mapping for multirobot system in gps-denied environments,

Reference 6

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source=pdf_text observed=2026-08-15T18:49:31.253992Z digest=sha256:a6dec6ae869a4a5b5024788d1783ad41cf4119396916a6d5ca21ac992a166c91

Observation f225a0e7-afc6-4722-8163-ef48cfa74d7a · outbound

This paper cites Dtam: Dense tracking and mapping in real-time,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Dtam: Dense tracking and mapping in real-time,

Reference 7

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source=pdf_text observed=2026-08-15T18:49:31.259493Z digest=sha256:68bc8a4470565632bfb1b3ace1683e8b593c48d391964c556f5d4263185a6a37

Observation 516a352b-92dd-4546-8c36-0e2da92feb55 · outbound

This paper cites Kintinuous: Spatially extended kinectfusion,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Kintinuous: Spatially extended kinectfusion,

Reference 8

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source=pdf_text observed=2026-08-15T18:49:31.264595Z digest=sha256:601bcbbac08c794b4ac85a0f0f91a93ad4c2ada37bf7b7ac0febf188e0fa2681

Observation fb481212-0043-41ec-b0ff-1ca047a55774 · outbound

This paper cites Elasticfusion: Real-time dense slam and light source estimation,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Elasticfusion: Real-time dense slam and light source estimation,

Reference 9

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source=pdf_text observed=2026-08-15T18:49:31.269987Z digest=sha256:bbae4315a5c96d6c29c6643e61c054d7d2673f1159d220da4a3bee86d9bf68e1

Observation 941f50fd-ee46-441e-92cc-e3266e71b0ab · outbound

This paper cites Kinectfusion: real-time 3d reconstruction and interaction using a moving depth cam- era,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Kinectfusion: real-time 3d reconstruction and interaction using a moving depth cam- era,

Reference 10

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source=pdf_text observed=2026-08-15T18:49:31.279261Z digest=sha256:805a37a908e30afa8f4d93f0c40221e9539c19edd20f153c28c2d2d441688469

Observation 7e111980-3eb8-4dab-a0f3-6546312ef8b9 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 11

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source=pdf_text observed=2026-08-15T18:49:31.284221Z digest=sha256:92f88f681bdf8d039139932c3c87593e31253e18fa24762f9c1a12ca3d095bcf

Observation b9a802d3-1d0c-4436-8b97-3b467c829d7b · outbound

This paper cites imap: Implicit mapping and positioning in real-time,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation imap: Implicit mapping and positioning in real-time,

Reference 12

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source=pdf_text observed=2026-08-15T18:49:31.290544Z digest=sha256:d89e5cd3a6b0e02cd902604c1ca0971d6dd6b0ac380f8453e0b346483c29fd0a

Observation 3a21d0bd-297c-49ca-b82d-4fa4aac35684 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Nice-slam: Neural implicit scalable encoding for slam,

Reference 13

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source=pdf_text observed=2026-08-15T18:49:31.295250Z digest=sha256:7a9e38ac7ce42c73230b46fe857096af124e3f700c0a80bcf9bc4682c2143a42

Observation b5f0f458-5f06-4e5b-af55-8b5b4ad33ae4 · outbound

This paper cites Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,

Reference 14

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source=pdf_text observed=2026-08-15T18:49:31.300389Z digest=sha256:ccede249fa0d378378aa9ba001ed6581d36f5192d5f4342a83efa1a2843c5b8f

Observation c8323f6a-5337-4de5-a1f9-054290e9d984 · outbound

This paper cites Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,

Reference 15

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source=pdf_text observed=2026-08-15T18:49:31.305636Z digest=sha256:da96082a50fd42ab4f9eaf745e85b15189aea2dfef72c61528e6b5e90e94dc07

Observation 7bbd65db-e789-46a7-a9e6-bf9e48349454 · outbound

This paper cites Plgslam: Progressive neural scene represenation with local to global bundle adjustment,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Plgslam: Progressive neural scene represenation with local to global bundle adjustment,

Reference 16

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source=pdf_text observed=2026-08-15T18:49:31.312433Z digest=sha256:a5d0157b1319f264749567770be9fe7f80d3d0c1fbca294d028324881f6ae866

Observation fe03fd64-d3b4-4661-b1b5-b30db828624b · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Distributed mapping with privacy and communication constraints: Lightweight algorithms and object-based models,

Reference 17

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source=pdf_text observed=2026-08-15T18:49:31.317564Z digest=sha256:cd6ba024390327650f11d0b3fab769b319f088deed60457fe7919862f447e3e5

Observation 75ee8d63-78b7-4c4e-8ef0-4ce68adfc3b9 · outbound

This paper cites Distributed consistent multi-robot seman- tic localization and mapping,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Distributed consistent multi-robot seman- tic localization and mapping,

Reference 18

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

source=pdf_text observed=2026-08-15T18:49:31.322415Z digest=sha256:db11c29e411262a15cd09583ec3f6aab098074a5f6bdcbea949f19935ef7cf0a

Observation 6601489a-9871-441d-9b96-c446c5db4e7c · outbound

This paper cites SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency

Reference 19

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

source=pdf_text observed=2026-08-15T18:49:31.327066Z digest=sha256:f744d2ea1c6bbdf87d35916b6fc63b8aa45439ca1187f58a0835a7b29d883692

Observation c7e9af61-254a-49df-ad1a-8b9ce77ec8c7 · outbound

This paper cites Sfpnet: Sparse focal point network for semantic segmentation on general lidar point clouds,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Sfpnet: Sparse focal point network for semantic segmentation on general lidar point clouds,

Reference 20

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source=pdf_text observed=2026-08-15T18:49:31.333783Z digest=sha256:b31df6058b2ddccecea564ba51dca20f46ef7f7c070424843c1673cf7b6740db

Observation 04981918-85b1-4396-acce-74b51727cca9 · outbound

This paper cites Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems,

Reference 21

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source=pdf_text observed=2026-08-15T18:49:31.343155Z digest=sha256:26e84c1e82cd30674876e4a2c228c390934f6013045cb7f142cd95747b3c28b1

Observation 519ffff6-6535-4c90-9e4f-f98420e0e500 · outbound

This paper cites Cp-slam: Collabora- tive neural point-based slam system,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Cp-slam: Collabora- tive neural point-based slam system,

Reference 22

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

source=pdf_text observed=2026-08-15T18:49:31.347718Z digest=sha256:c85d540bfc9daa0bafed618d77f68dbdf90da28ac1167aad4afe4007b7f1f96f

Observation eb0a1fcf-6963-46a7-85b7-a34444a20cc6 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 23

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source=pdf_text observed=2026-08-15T18:49:31.352275Z digest=sha256:7d3e78bb2e5422721ff307796591d9522b617d7ce861d644758f0161a6a4ee7b

Observation 7c354cf2-7d2e-4ba0-a24a-af4107aee689 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 24

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source=pdf_text observed=2026-08-15T18:49:31.359124Z digest=sha256:b0443f3da56f97a34e47be2e635834bc110d9fe0621e63f64c8d819cca78a0d1

Observation d0d0a00d-e3d8-4214-9a8d-a5a1450e996c · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation A benchmark for the evaluation of rgb-d slam systems,

Reference 25

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source=pdf_text observed=2026-08-15T18:49:31.364255Z digest=sha256:ae3c608109c17131eecf67a6d301981f2a4aa96a11e1df47fc45e998338ee62f

Observation e2846a57-9a51-42ea-8e6b-dd81fc795f25 · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Splatam: Splat track & map 3d gaussians for dense rgb-d slam,

Reference 27

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source=pdf_text observed=2026-08-15T18:49:31.374943Z digest=sha256:8d707756af61c120841e7975f24368ae92ffa2ed2ff286e839d75979e0d3bbd1

Observation a942125b-f33a-4f7e-b798-62ef1ceac11e · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Dust3r: Geometric 3d vision made easy,

Reference 28

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source=pdf_text observed=2026-08-15T18:49:31.382076Z digest=sha256:8c52756c2170454c6b6dd6d8e5e0bb20375f79edc9ebd17b5f0de27556307da9

Observation 91a77d11-09ed-4936-8bf4-ac209b7433a8 · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Vggt: Visual geometry grounded transformer,

Reference 29

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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.

source=pdf_text observed=2026-08-15T18:49:31.387582Z digest=sha256:3f64f6eaf3595b281dcb8b03f63be0235c834e04c2a92bdf07a6b40d58c9deef

Observation 4e56be12-259f-4fde-a8f9-bf4e595b8719 · outbound

This paper cites Parallel tracking and mapping for small ar workspaces,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Parallel tracking and mapping for small ar workspaces,

Reference 30

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source=pdf_text observed=2026-08-15T18:49:31.393586Z digest=sha256:0a4c2b62ac622accc26c390974e3d00e8a533a171b705c1f8b47c1dba18b1015

Observation cd2c6967-2399-440c-97a4-15066c1eea2e · outbound

This paper cites Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 31

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

source=pdf_text observed=2026-08-15T18:49:31.399214Z digest=sha256:8ca6502e205286a048c1163d553d78b134f9e9ab76856f13c23784be390bf88f

Observation a6968b14-4bb6-48cf-8733-8daa51f83c52 · outbound

This paper cites Svo: Fast semi-direct monocular visual odometry,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Svo: Fast semi-direct monocular visual odometry,

Reference 32

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source=pdf_text observed=2026-08-15T18:49:31.404961Z digest=sha256:c4b9ebc152cc0cbe9655e52ce1f58671c46248a6aab31d652448de233b1a66f5

Observation 38f333d1-f8fa-4973-8874-56e5c9a93e2f · outbound

This paper cites Fast-livo2: Fast, direct lidar–inertial–visual odometry,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Fast-livo2: Fast, direct lidar–inertial–visual odometry,

Reference 33

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

source=pdf_text observed=2026-08-15T18:49:31.410942Z digest=sha256:43f8e824d2ec8ed36c184cc06aa643c5cb4896707f8a54ef54950befe705ee39

Observation fedf3183-0580-4d67-b9d6-5b3e6c9a2700 · outbound

This paper cites Long-term visual simultaneous localization and mapping: Using a bayesian persistence filter-based global map prediction,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Long-term visual simultaneous localization and mapping: Using a bayesian persistence filter-based global map prediction,

Reference 34

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

source=pdf_text observed=2026-08-15T18:49:31.415979Z digest=sha256:a239769604970bd1f0d4183010072f18863fcc63de259a92e5deb4ce432a9bbb

Observation c2a1d171-1764-40cc-a7c7-0ca8a0567b42 · outbound

This paper cites Robust incremental long- term visual topological localization in changing environments,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Robust incremental long- term visual topological localization in changing environments,

Reference 35

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

source=pdf_text observed=2026-08-15T18:49:31.420981Z digest=sha256:46524375c522df6e2bfbc8fe5ecc6f43afc22fe8dd74ef5e460566370cda2d19

Observation 52c447f5-f721-4815-bcb5-9b5941b2dea7 · outbound

This paper cites Angular tracking consistency guided fast feature association for visual-inertial slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Angular tracking consistency guided fast feature association for visual-inertial slam,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T18:49:33.165191Z

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=2026-08-15T18:49:31.426570Z digest=sha256:9dca519abe0908ec18d7d493e1a5e490dca411a9233ff368af1a89cf18e7b687

Observation 0cd043d5-b125-4063-85ac-65ae8730dd02 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 37

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no resolver link, observed 2026-08-15T18:49:31.433209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.433209Z digest=sha256:0a5ea7966ea2fd5bc115b939cb8bd2404636ba35ac91640c66cbb6cda6d81980

Observation 97687ed8-5502-4e5a-8b05-4a9ebb62f64e · outbound

This paper cites Kimera: From slam to spatial perception with 3d dynamic scene graphs,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Kimera: From slam to spatial perception with 3d dynamic scene graphs,

Reference 38

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no resolver link, observed 2026-08-15T18:49:31.438672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.438672Z digest=sha256:3ed59d90c359dd29c289549e35cd62a31267a4bf568a090762e97225de368abe

Observation c2b48584-c9ab-4515-9a71-cbe01de405fe · outbound

This paper cites Deep patch visual odometry,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Deep patch visual odometry,

Reference 39

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no resolver link, observed 2026-08-15T18:49:31.446340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.446340Z digest=sha256:a5920ee1e3f94a1d3e6513bc524ec4afcc2828253e757439f6513f58cee908e1

Observation a9ee995d-4f26-4303-9bbd-b93700497465 · outbound

This paper cites Mips-fusion: Multi- implicit-submaps for scalable and robust online neural rgb-d reconstruc- tion,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mips-fusion: Multi- implicit-submaps for scalable and robust online neural rgb-d reconstruc- tion,

Reference 40

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raw_fallback, observed 2026-08-15T18:49:33.114751Z

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=2026-08-15T18:49:31.451071Z digest=sha256:722e542cc93a7413036f9420290b5d122145cd550a7b3b06bda56d2f5902b80b

Observation e5758d96-ef09-42e4-8e11-06bdc8db2c9e · outbound

This paper cites NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:49:32.202642Z

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=2026-08-15T18:49:31.456572Z digest=sha256:bf47a123ecea65b697b4b2433918139c65413fe31949a5a90e0c2dcd065f448e

Observation 2f4df614-5fd9-4cd5-acff-12155b68bc79 · outbound

This paper cites Point-slam: Dense neural point cloud-based slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Point-slam: Dense neural point cloud-based slam,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:33.098569Z

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=2026-08-15T18:49:31.463046Z digest=sha256:a595326b057c88bfd61503d4c70e7ee0c3c7ad0033acd935b185660de5900567

Observation ed542031-6b26-46f9-81cc-cb77c04682f8 · outbound

This paper cites Pin-slam: Lidar slam using a point-based implicit neural repre- sentation for achieving global map consistency,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Pin-slam: Lidar slam using a point-based implicit neural repre- sentation for achieving global map consistency,

Reference 43

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no resolver link, observed 2026-08-15T18:49:31.468429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.468429Z digest=sha256:c75fb543fe15ed8b85f726617d5781de62b2449405641b25f21c334c0ca3e792

Observation bfacd354-ab8c-43b8-a852-8b379b4ebb29 · outbound

This paper cites Go-slam: Global optimization for consistent 3d instant reconstruction,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Go-slam: Global optimization for consistent 3d instant reconstruction,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:49:31.474666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.474666Z digest=sha256:580777b241e6dee52a5370fbd03ac47e896d91cd852360e1698b039d3586af0b

Observation 6f50a878-18f3-4b21-9b5b-c0acdf8f6034 · outbound

This paper cites Loopy-slam: Dense neural slam with loop closures,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Loopy-slam: Dense neural slam with loop closures,

Reference 45

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unresolved
no resolver link, observed 2026-08-15T18:49:31.480304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.480304Z digest=sha256:c3dcc14cc331f3ffaf31f36af862e103fcf1f7e73227049f70a3c35732732d8a

Observation dd565558-fcbe-4a2f-9806-4d0a94125ca8 · outbound

This paper cites Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:33.050549Z

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=2026-08-15T18:49:31.486491Z digest=sha256:e3704ca5d63b48b2d03dc56164dc9907ac7e2d5c3acce22abeaf4eac44adefca

Observation 4522632f-5eb5-4761-915e-9976cdf4b7d0 · outbound

This paper cites Ddn-slam: Real time dense dynamic neural implicit slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Ddn-slam: Real time dense dynamic neural implicit slam,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:33.032061Z

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=2026-08-15T18:49:31.492032Z digest=sha256:6b485add3ac30892e664a902a9c703bce87630e61f13555e025d18ca47cda8a8

Observation 3eed08ac-5eea-4f12-b181-b7942ac0acbf · outbound

This paper cites Sni-slam: Semantic neural implicit slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Sni-slam: Semantic neural implicit slam,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:33.012251Z

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=2026-08-15T18:49:31.497936Z digest=sha256:2fa00f6873cc746ee41846af20654058c0a5d3dad7d182d5b382e2ea80eaea25

Observation 780449cb-65df-4ff6-bee7-8af83ea7e5cf · outbound

This paper cites Compact 3D Gaussian Splatting For Dense Visual SLAM.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Compact 3D Gaussian Splatting For Dense Visual SLAM

Reference 49

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no resolver link, observed 2026-08-15T18:49:31.504511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.504511Z digest=sha256:d68e87677303be2f2fe9aa1accc7da64f86e8bede1acb7c5772b6172700fe9bf

Observation 2afd8687-d4ff-4b23-a742-d7f8fb046245 · outbound

This paper cites Sgs- slam: Semantic gaussian splatting for neural dense slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Sgs- slam: Semantic gaussian splatting for neural dense slam,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T18:49:31.510133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.510133Z digest=sha256:daf440121fd4a947908b1f180d43dda268a6c48b036bc323f55d3f81efb974e8

Observation 5a0e74d5-b0c0-4a30-b750-a3cfad6969f7 · outbound

This paper cites Mg- slam: Structure gaussian splatting slam with manhattan world hypothe- sis,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mg- slam: Structure gaussian splatting slam with manhattan world hypothe- sis,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.984737Z

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=2026-08-15T18:49:31.516494Z digest=sha256:075eccbd05ce4b03de7ab843aabdfe91886cb61fb2337ac010485bf0a246eab0

Observation bd843a6d-625c-4fa7-b1b9-ce690b8b75ec · outbound

This paper cites LoopSplat: Loop Closure by Registering 3D Gaussian Splats.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation LoopSplat: Loop Closure by Registering 3D Gaussian Splats

Reference 52

Resolution
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no resolver link, observed 2026-08-15T18:49:31.524227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.524227Z digest=sha256:58d5577e69abd0fe54d417a5457fbeaf9f99cf2b6e34d2fa65c6e10cfa52e0cf

Observation ccfa9079-b942-4a1f-9346-ab0e55f9c0c9 · outbound

This paper cites Vpgs-slam: V oxel-based progressive 3d gaussian slam in large-scale scenes,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Vpgs-slam: V oxel-based progressive 3d gaussian slam in large-scale scenes,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T18:49:31.530469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.530469Z digest=sha256:ae068d3b22d74d208448525f0160e0b7c358641aa6def5602b895b184608d8bd

Observation 6e3b9c78-b2c9-454a-a3e0-3304f4681f57 · outbound

This paper cites Cvi-slam—collaborative visual- inertial slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Cvi-slam—collaborative visual- inertial slam,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.966642Z

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=2026-08-15T18:49:31.535643Z digest=sha256:fc09291cb01c30397d01e84ad6fa0416d93168a84b75635973dbdcb60e1a8812

Observation 4952c439-2155-4cca-b72c-7d4d8788268b · outbound

This paper cites Coslam: Collaborative visual slam in dynamic environments,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Coslam: Collaborative visual slam in dynamic environments,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.946009Z

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=2026-08-15T18:49:31.542185Z digest=sha256:04a2e012c541ee129eb243f539918e7018a5fd262ad58dbfd36ddb7ae708fdfc

Observation f1e547b5-7f5f-4293-ae87-182746267ff2 · outbound

This paper cites Ccm-slam: Robust and efficient centralized collaborative monocular simultaneous localization and mapping for robotic teams,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Ccm-slam: Robust and efficient centralized collaborative monocular simultaneous localization and mapping for robotic teams,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.927593Z

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=2026-08-15T18:49:31.547098Z digest=sha256:d7c97e03adf9ec7e006188b22b16b1933460a338a2473d863af67f71a752151b

Observation 43c84568-8df4-4ff5-98c3-e86fd46578c6 · outbound

This paper cites Door-slam: Distributed, online, and outlier resilient slam for robotic teams,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Door-slam: Distributed, online, and outlier resilient slam for robotic teams,

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.910543Z

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=2026-08-15T18:49:31.554724Z digest=sha256:f3f8b1562f357b05a1dccbd292ad4c5ffa8ed65e7321742df4796f6d7bbf16a3

Observation 211a8c3d-8bcc-466f-9041-d34ab40ff4ed · outbound

This paper cites Swarm-slam: Sparse decentralized col- laborative simultaneous localization and mapping framework for multi- robot systems,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Swarm-slam: Sparse decentralized col- laborative simultaneous localization and mapping framework for multi- robot systems,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.893270Z

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=2026-08-15T18:49:31.561866Z digest=sha256:df7730ff99e64a65a3c712072937e22c3e306d93a4e4ea02977d8c72cac28f77

Observation 2f832196-a031-4d6d-b64d-c12d444305f7 · outbound

This paper cites d2slam: Decentralized and distributed collaborative visual-inertial slam system for aerial swarm,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation d2slam: Decentralized and distributed collaborative visual-inertial slam system for aerial swarm,

Reference 59

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raw_fallback, observed 2026-08-15T18:49:32.873552Z

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=2026-08-15T18:49:31.567386Z digest=sha256:52e3eb4e5062e4a7fb37e69db440db146309cff71959eb3f52f3d97655ac3fcd

Observation c6d4a9b8-14bc-49f0-9800-a5c51a1e435b · outbound

This paper cites Macim: Multi-agent collaborative implicit mapping,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Macim: Multi-agent collaborative implicit mapping,

Reference 60

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no resolver link, observed 2026-08-15T18:49:31.573074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.573074Z digest=sha256:1ac8edaf34f63e5dd1f7cbcaa53a44d47df32af82e193879f72b5a7964af14ed

Observation 99235f58-97f2-4493-bfd8-929d22e56c9b · outbound

This paper cites Mne-slam: Multi-agent neural slam for mobile robots,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mne-slam: Multi-agent neural slam for mobile robots,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.834218Z

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=2026-08-15T18:49:31.577960Z digest=sha256:0c02ed5b196ae128cc3e018c9c108f29a239262c2c21c2e6b07852d25f60f7a0

Observation 44ba7efd-5aa4-48ae-a283-d8f1cfd5960a · outbound

This paper cites Raft: Recurrent all-pairs field transforms for opti- cal flow,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Raft: Recurrent all-pairs field transforms for opti- cal flow,

Reference 62

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no resolver link, observed 2026-08-15T18:49:31.583381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.583381Z digest=sha256:76d1161c1610c3db2efb8d50e9253831b5226be99d2f15b962f7e85a3e65d43e

Observation 68add2ff-23e1-431e-85eb-49f8bc3c5406 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 63

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unresolved
no resolver link, observed 2026-08-15T18:49:31.589582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.589582Z digest=sha256:fcf0b599817c0f959c5807688c034b6f42c12ce4c87958867c5b0562423fcdd3

Observation 3d8a88b8-0ca8-48ab-b2d1-682140851473 · outbound

This paper cites Stereo magnification: learning view synthesis using multiplane images,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Stereo magnification: learning view synthesis using multiplane images,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T18:49:31.595346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.595346Z digest=sha256:7ce95f20500f0e7b0a3d8b7a8ba50dd64b29fd7d9f35cb758af7ad51d0d329fb

Observation 0780d8db-e454-4ca5-861a-22617bcbff64 · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 65

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no resolver link, observed 2026-08-15T18:49:31.601467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.601467Z digest=sha256:559e035e4a3e890a99f172c20cdf2ed55696cc03df798f4b8fa0418c73e10674

Observation 822900e0-0e11-4796-853b-660833e4cd73 · outbound

This paper cites Infinite nature: Perpetual view generation of natural scenes from a single image,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Infinite nature: Perpetual view generation of natural scenes from a single image,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.780292Z

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=2026-08-15T18:49:31.606898Z digest=sha256:6a33b5fd52fe28d12297e7c87daa23d913d5d5d47d92b3510df588f23c595a61

Observation 7b88a929-d709-4c72-b6de-f2739ca6621c · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 67

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no resolver link, observed 2026-08-15T18:49:31.612255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.612255Z digest=sha256:2bfcf1eb494f31c74f2e1004567eb24c5e08adacd157f123606350854e215b31

Observation b7cf0f88-31a2-48c8-997a-dfc515e3d807 · outbound

This paper cites Progressively optimized local radiance fields for robust view synthesis,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Progressively optimized local radiance fields for robust view synthesis,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.750603Z

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=2026-08-15T18:49:31.620992Z digest=sha256:d300d603879cd64fb28733d4695355cef3821dda391fa9c291a29afe50208657

Observation 486f10ce-8ca8-4e43-928e-19017a550e76 · outbound

This paper cites A high-rate, heterogeneous data set from the darpa urban challenge,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation A high-rate, heterogeneous data set from the darpa urban challenge,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.729784Z

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=2026-08-15T18:49:31.626714Z digest=sha256:d37c494925cc3a2f5f9a21d741b05035f6073f2592b5995fb92f93116fbecb74

Observation eb95c86e-97b2-474b-867a-367d9495a153 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation The utias multi- robot cooperative localization and mapping dataset,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:49:32.705609Z

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=2026-08-15T18:49:31.632201Z digest=sha256:2540f4c1d6fc677d6c5edd9f21c59f57b77b7879d81c1edc63df68c1a705a3dd

Observation 7375059d-0a49-46dc-b76a-8618c8a95898 · outbound

This paper cites Ford multi-av seasonal dataset,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Ford multi-av seasonal dataset,

Reference 71

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source=pdf_text observed=2026-08-15T18:49:31.638133Z digest=sha256:c532bb1e10028dde67402393383f2fc8b79c26c1a78496425fd472fccd94f227

Observation 78636e44-cc05-4a5f-a7df-83548d6cf34e · outbound

This paper cites Vision meets robotics: The kitti dataset,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Vision meets robotics: The kitti dataset,

Reference 72

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source=pdf_text observed=2026-08-15T18:49:31.642984Z digest=sha256:595e07aee8f37e4d9edbd9f8463c1b555be921fc84e0227684b8afb7824b98f7

Observation d5a47c9f-180e-4f0e-859e-f9b9008a5809 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation University of michigan north campus long-term vision and lidar dataset,

Reference 73

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source=pdf_text observed=2026-08-15T18:49:31.648432Z digest=sha256:e9507111b34b8b1d4f2fc5e2c636be9c7b6c514f734b456c18be55648fe6041b

Observation 391f5219-423e-45c4-9860-dcd30d50bf35 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation ShapeNet: An Information-Rich 3D Model Repository

Reference 74

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source=pdf_text observed=2026-08-15T18:49:31.654135Z digest=sha256:3d52e93275d320665047336f4f82c9492df364b08a817a02c068ecd25d0b6ba1

Observation 2c732c6c-829e-4be9-9eba-8386d9208cf2 · outbound

This paper cites The euroc micro aerial vehicle datasets,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation The euroc micro aerial vehicle datasets,

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.662019Z digest=sha256:7ddd97ef40922aa874efd80fa6f17ae150d641e38ddd4a062895e07c097e5d84

Observation 85eba597-be13-4d71-87b3-fd79f9f787c0 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation 1 year, 1000 km: The oxford robotcar dataset,

Reference 76

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source=pdf_text observed=2026-08-15T18:49:31.668444Z digest=sha256:da4cc1cbac72ea0273d77dd0f9902d3d1ba54d45e510bc830e5c4b7841df0976

Observation 25146ea1-4f14-469e-b1e5-8bd90eee4d1b · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation nuscenes: A multimodal dataset for autonomous driving,

Reference 77

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source=pdf_text observed=2026-08-15T18:49:31.675247Z digest=sha256:338e9148559f7283a3d2ee10ca368f95865bb221a16765afd6f46988f84cc898

Observation 055a17d9-bbf8-40ca-bd55-5cf30b29f7c1 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Scalability in perception for autonomous driving: Waymo open dataset,

Reference 78

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.682138Z digest=sha256:2318ed36b551eef5d23854ab51130e90ee5c2cde76bef97e4fa7c76c8df03f04

Observation c93c087b-0b65-41cf-a052-91a59b445c2e · outbound

This paper cites The uma-vi dataset: Visual–inertial odometry in low-textured and dy- namic illumination environments,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation The uma-vi dataset: Visual–inertial odometry in low-textured and dy- namic illumination environments,

Reference 79

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raw_fallback, observed 2026-08-15T18:49:32.578974Z

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=2026-08-15T18:49:31.688642Z digest=sha256:796084cb546227d8a41423a1954655407571d7da1035b3ea1e23ab5348f340a5

Observation 78f52502-03ae-40c6-bb04-d25234386895 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Tartanair: A dataset to push the limits of visual slam,

Reference 80

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raw_fallback, observed 2026-08-15T18:49:32.557000Z

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=2026-08-15T18:49:31.695087Z digest=sha256:8204f7b781d3291836dee889f7b7422cf93ecf4506d2dec38f01e73516a56f73

Observation d9e2cad8-d0e7-4a97-aa8c-720e61e260da · outbound

This paper cites Ntu viral: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Ntu viral: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint,

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:49:31.700453Z digest=sha256:512d7c7d027958fc5304bbe9efcc2d19b3731f39ac1c8bc13382cd13fbd3c419

Observation 4e55b88c-b21e-46bc-b73b-5494f2a6ebb1 · outbound

This paper cites Scannet++: A high- fidelity dataset of 3d indoor scenes,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Scannet++: A high- fidelity dataset of 3d indoor scenes,

Reference 82

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source=pdf_text observed=2026-08-15T18:49:31.705777Z digest=sha256:4d3f13fa327445b9be6ec26a86a0e840a77c392b9de47d90c26bf98ee576b464

Observation 5bc5357c-0674-40a4-b90c-3ac753a3e1f9 · outbound

This paper cites Subt-mrs dataset: Pushing slam towards all-weather environments,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Subt-mrs dataset: Pushing slam towards all-weather environments,

Reference 83

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source=pdf_text observed=2026-08-15T18:49:31.712110Z digest=sha256:a935df95502237f9f731fe570e8aa974627f120c136e8422c4a529df3ad9a544

Observation 125fc7cf-9d6a-4158-addc-0a71c9748bf3 · outbound

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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mcd: Diverse large-scale multi-campus dataset for robot perception,

Reference 84

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raw_fallback, observed 2026-08-15T18:49:32.491359Z

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=2026-08-15T18:49:31.717468Z digest=sha256:7e7447b024430d6b1fd29cb8ee8b102dba5f5a01969233aaa12689cef5b17d96

Observation 946b3b4d-d44a-4294-982e-8a9d4bcc8187 · outbound

This paper cites Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion,

Reference 85

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raw_fallback, observed 2026-08-15T18:49:32.469986Z

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=2026-08-15T18:49:31.723333Z digest=sha256:7d94414794c33667a3198812affde961d8e1fdfb28088f3ffbc54b6dd0551958

Observation 328468a1-2cd5-4946-869a-121b612e432e · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual– inertial, and multimap slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Orb-slam3: An accurate open-source library for visual, visual– inertial, and multimap slam,

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:49:31.729438Z digest=sha256:7b06cb21897ac2c459bd88b61658e1a81c8c5b9e07be28a86bbf14b233f70f82

Observation 421dc21c-0ac8-4c03-9a06-339f6ffdf8fc · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Netvlad: Cnn architecture for weakly supervised place recognition,

Reference 87

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source=pdf_text observed=2026-08-15T18:49:31.735174Z digest=sha256:9116f9fb6833398494dae24f7cd23e65b551137cabcba1335d233d1081ef288e

Observation 974903f9-2af7-46b1-b50d-71bdf03378b4 · outbound

This paper cites Neural rgb-d surface reconstruction,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Neural rgb-d surface reconstruction,

Reference 88

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raw_fallback, observed 2026-08-15T18:49:32.420344Z

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=2026-08-15T18:49:31.741342Z digest=sha256:b881ae5aeba35fbbc54dd2d988fcd02095e97ce7b3e0e8a5342855299055a3e3

Observation 5331eafd-d108-48fa-bac9-22912e9a0081 · outbound

This paper cites Go-surf: Neural feature grid optimization for fast, high-fidelity rgb-d surface reconstruction,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Go-surf: Neural feature grid optimization for fast, high-fidelity rgb-d surface reconstruction,

Reference 89

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raw_fallback, observed 2026-08-15T18:49:32.400026Z

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=2026-08-15T18:49:31.747991Z digest=sha256:52879c16d21ea52d5ad5eb6d5dd883206f95f6d1417cd9f4941b7c61488b3bd5

Observation 1fb9b24f-0ac1-420c-ab51-0894a6696e18 · outbound

This paper cites Bad slam: Bundle adjusted direct rgb-d slam,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Bad slam: Bundle adjusted direct rgb-d slam,

Reference 90

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raw_fallback, observed 2026-08-15T18:49:32.380353Z

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=2026-08-15T18:49:31.756570Z digest=sha256:2ff6a3108582744d0f1894660d7bf24e3ede5b26896316803db1d359254b0c6f

Observation 5c193795-f453-43ee-a095-4813e9aedca7 · outbound

This paper cites Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration,

Reference 91

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source=pdf_text observed=2026-08-15T18:49:31.761388Z digest=sha256:581bdfb67bd48c8336a6711286e660529080dd2ec0ae69ea86837fe258ea5dff

Observation 173de341-5ee4-4204-8b59-c62464b19c76 · outbound

This paper cites Di-fusion: Online implicit 3d reconstruction with deep priors,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Di-fusion: Online implicit 3d reconstruction with deep priors,

Reference 92

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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.

source=pdf_text observed=2026-08-15T18:49:31.766476Z digest=sha256:f66949b8cd8efcfa0eeafa6bcd13a3b1b3a585aa64635d9f75d089fc695b4a8c

Observation 4489c30e-99d9-4c98-b57b-3e1954f871e1 · outbound

This paper cites V ox- fusion: Dense tracking and mapping with voxel-based neural implicit representation,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation V ox- fusion: Dense tracking and mapping with voxel-based neural implicit representation,

Reference 93

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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.

source=pdf_text observed=2026-08-15T18:49:31.772174Z digest=sha256:9f05d9fc259a090bfc8fd0d06bd2a6e1936d5efef78031afd17dae0f9e910b56

Observation 57d05537-138e-49bd-a060-b69be2816570 · outbound

This paper cites Photo-slam: Real- time simultaneous localization and photorealistic mapping for monocular stereo and rgb-d cameras,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Photo-slam: Real- time simultaneous localization and photorealistic mapping for monocular stereo and rgb-d cameras,

Reference 94

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raw_fallback, observed 2026-08-15T18:49:32.315133Z

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=2026-08-15T18:49:31.779337Z digest=sha256:d366e25455f5ea9a858d6ae3ae23aee6e43444cf5f63f8df2a1afecad1021967

Observation 801af01b-7154-4597-9dde-bb89a93b071f · outbound

This paper cites Adam: A method for stochastic optimization,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Adam: A method for stochastic optimization,

Reference 95

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.789113Z digest=sha256:e209f6a7f3857e9cf4ea6a2a3936ffbe2f613f833057a9dac9fc3d180432a3c7

Observation 2e85a944-ed57-46c2-ad5b-22c6f758cb2f · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm,.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation Marching cubes: A high resolution 3d surface construction algorithm,

Reference 96

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no resolver link, observed 2026-08-15T18:49:31.794505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:31.794505Z digest=sha256:caa28befc1564c11d4759d4b00255aa6bc784641fa089b0eaac5ddcd6d8a2338

Observation f9cf4b1b-a2a1-47cb-9c65-209594076621 · outbound

This paper cites CTE-MLO: Continuous-time and Efficient Multi-LiDAR Odometry with Localizability-aware Point Cloud Sampling.

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation CTE-MLO: Continuous-time and Efficient Multi-LiDAR Odometry with Localizability-aware Point Cloud Sampling

Reference 97

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local_arxiv, observed 2026-08-15T18:49:31.863607Z

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=2026-08-15T18:49:31.800563Z digest=sha256:4978145d98d24f1fa36ebf5cfb0c576b9e0f8f6eeb816e22c0c580fe7f910ca6

Pith citing papers

Observation 969e397b-55ab-4839-b747-a120f0cc9281 · inbound

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision cites this paper.

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 8

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source=pdf_text observed=2026-08-12T05:14:20.605088Z digest=sha256:4a3d3a2a0b01726796b07348dc791c6fa2b6f789ddff4e318fb20a18f2a36e81

Observation e61dfb07-39dd-4b61-81fe-7d485c8a73bf · inbound

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation cites this paper.

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 28

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no resolver link, observed 2026-08-06T11:42:22.822329Z

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source=pdf_text observed=2026-08-06T11:42:22.822329Z digest=sha256:e790582d4b9bee30bae9917d92db46186cdefc07d8690106f3ea1a55df124cca

Observation 40ad5ce8-8da8-4202-a7b5-3eef5cc4e9a7 · inbound

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer cites this paper.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 17

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source=pdf_text observed=2026-08-03T14:15:22.633108Z digest=sha256:18cda50e01490164ccf0c0d625c8b02688e0237b05f59f07571e4c5b4d77d26a

Observation 885d050a-db71-4834-b741-95ff520237b4 · inbound

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation cites this paper.

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 11

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arxiv_id, observed 2026-05-21T17:10:25.136388Z

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=2026-05-21T17:06:34.398973Z digest=sha256:943b1be75199f904c92ed629e26bdf3ec7579b1c8b6966ceb708ee2ef10a680f

Observation 6e92b214-7850-450a-9be2-1b9c80320d04 · inbound

MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction cites this paper.

MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 5

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verified exact
arxiv_id, observed 2026-05-12T06:21:27.577198Z

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=2026-05-12T04:20:00.455808Z digest=sha256:ee9e084280768cc62a5a373385832173809bcc5fa114907ee7c9f288490b6b5a

Observation 6611fbaa-f1f4-46af-bc52-80e537fea87b · inbound

MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction cites this paper.

MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 5

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no resolver link, observed 2026-08-02T14:25:10.561195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:25:10.561195Z digest=sha256:accb64f1544051df19a09e7852c77f465395d15f0d9355720a2c5748c7323b87

Observation e5fa3ee1-7001-4be0-82e6-ad5171a73101 · inbound

CoMo3R-SLAM: Collaborative Monocular Dense SLAM with Learned 3D Reconstruction Priors for Outdoor Multi-Agent Systems cites this paper.

CoMo3R-SLAM: Collaborative Monocular Dense SLAM with Learned 3D Reconstruction Priors for Outdoor Multi-Agent Systems MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 9

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verified exact
arxiv_id, observed 2026-06-29T09:13:16.630264Z

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=2026-06-29T06:54:18.832767Z digest=sha256:649c4bc8e354fa5538fc1e6e9f2a99bda74e2e35444478adc406e9f558ba9ec2