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Paper Citation Record · LEDGER

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2412.01217.

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

pith.paper-citation-record.v1
2412.01217 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:39:41.984408Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:14:56.345843Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:15:02.514455Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee280826-2e02-466a-a2d3-99be413edb9e · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Elasticfusion: Real-time dense slam and light source estimation,

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.822395Z digest=sha256:851b6410a05ac8f3d6d78bb32303d826c10ddb9ebb0402576d6d3cb6b646bd7c

Observation 094b45ce-b53c-4a7f-80a6-8cdbcf24a50a · outbound

This paper cites Direct sparse odometry,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Direct sparse odometry,

Reference 2

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source=pdf_text observed=2026-08-12T04:39:41.828085Z digest=sha256:5df55e07c072897e7628c110367ceecec914f70426c71931ab365bcae1f7d366

Observation 823823db-aba7-4c82-bd6a-9e589afec7cc · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 3

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source=pdf_text observed=2026-08-12T04:39:41.832944Z digest=sha256:386aa284add6f5981b43943d8c2b5ce28550ca1f8de493c10d68b4aea4cdec5c

Observation 254242c5-59ea-4b64-b97d-0f54e869f09b · outbound

This paper cites Stat- icfusion: Background reconstruction for dense rgb-d slam in dynamic environments,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Stat- icfusion: Background reconstruction for dense rgb-d slam in dynamic environments,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T04:39:42.396937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.837708Z digest=sha256:d22dcb8546ca63e5e421ebe378f9d34656c2bc8d0440e9e84cf430de9b5f57dc

Observation 5fdde610-772a-4d31-967f-98c6e7e0e6d2 · outbound

This paper cites Flowfusion: Dynamic dense rgb-d slam based on optical flow,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Flowfusion: Dynamic dense rgb-d slam based on optical flow,

Reference 5

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source=pdf_text observed=2026-08-12T04:39:41.843152Z digest=sha256:828ba2752faae13833df8031c432868e0b43f3716948b05e14421200ada59a1b

Observation 0eabf261-76ea-422d-8b08-d11556d03e4c · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,

Reference 6

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source=pdf_text observed=2026-08-12T04:39:41.847861Z digest=sha256:eb6b79cda525a3bd70a5375c49d175991074feb062e2574370fa56139184b4b4

Observation 62b248f2-c645-497a-b1af-1109fcc9d960 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 7

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source=pdf_text observed=2026-08-12T04:39:41.852875Z digest=sha256:fb6f9601bbedc32fd19279c9f5d378e81ca713e165ae4d69850c7eabf7c6f0a6

Observation 67da43ce-dca5-4f5e-b76c-e83a1ac5e32f · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Nice-slam: Neural implicit scalable encoding for slam,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.857326Z digest=sha256:ef75d5e6db319a0c816c1fe5b244fcae58908ee8480157fb0c63710f1e1e05e4

Observation c8077d4a-b9b0-4a6e-823b-457b500ce0e3 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting V ox- fusion: Dense tracking and mapping with voxel-based neural implicit representation,

Reference 9

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raw_fallback, observed 2026-08-12T04:39:42.342808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.862208Z digest=sha256:70ff8006a0208b496b235f62228621d6e6dc427398b3a4e2279be4f4f58802af

Observation 80edfaa7-e8b8-4571-a59c-c207bc4566a6 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,

Reference 10

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raw_fallback, observed 2026-08-12T04:39:42.327681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.867010Z digest=sha256:6d2ad0a4b14f9ade80dc6843b5e71b4d8fc99757b9297d2f36983186a7a4c659

Observation d3c6173e-5bd7-4a3d-b339-a0ae1b8d9225 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,

Reference 11

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source=pdf_text observed=2026-08-12T04:39:41.872029Z digest=sha256:d48accb6a54bfb7b5611472a3a3878287d41555c4bfcd0adc8e0a676fe49c258

Observation d346c348-ee5b-45b0-bdc1-7c9b2dc5709c · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Point-slam: Dense neural point cloud-based slam,

Reference 12

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raw_fallback, observed 2026-08-12T04:39:42.302594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.877483Z digest=sha256:6d1f02c082bce23e24e75d71ed45cc3a831fa004ebff67a6690560d1118cc325

Observation ff09220a-b1c2-499f-94bf-fdc34ccd2081 · outbound

This paper cites Neural Implicit Dense Semantic SLAM.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Neural Implicit Dense Semantic SLAM

Reference 13

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source=pdf_text observed=2026-08-12T04:39:41.881860Z digest=sha256:4820625083afcf7dfed2f502ede1096f91ac6a1549f065327d48e802560449c7

Observation 51455ca5-9253-4b9d-b476-f111e806b8b0 · outbound

This paper cites DNS SLAM: Dense Neural Semantic-Informed SLAM.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting DNS SLAM: Dense Neural Semantic-Informed SLAM

Reference 14

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source=pdf_text observed=2026-08-12T04:39:41.887299Z digest=sha256:8292580b7cc9eb4754f4a68e8175a9011af136337463f1403bdba5fc2739541e

Observation 07ec72c9-bf46-4cd8-9b5e-44f4edb35bf5 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Sni-slam: Semantic neural implicit slam,

Reference 15

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source=pdf_text observed=2026-08-12T04:39:41.892407Z digest=sha256:8cb5c20cdc7a91e9934f00ed47c6640ec8a6355b602d71d6eaeb98dfaddd0670

Observation 33f5df81-2443-47f3-9997-0bd34f998d4a · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 16

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source=pdf_text observed=2026-08-12T04:39:41.897861Z digest=sha256:e4b31e572141ce14c23612fb91d69226a9f83987a1a619f7e80c7bac8548054b

Observation b30ebe36-42e2-40be-97df-82873b15d4e0 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Splatam: Splat track & map 3d gaussians for dense rgb-d slam,

Reference 17

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source=pdf_text observed=2026-08-12T04:39:41.902277Z digest=sha256:2ffe69f7dbd25f8fc217c965ca4c542d8ce935aa65131546811f4657a62a2256

Observation a0084751-196e-4b8e-86ad-14d39f0ab6a9 · outbound

This paper cites Gs- slam: Dense visual slam with 3d gaussian splatting,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Gs- slam: Dense visual slam with 3d gaussian splatting,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-12T04:39:42.259893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.907616Z digest=sha256:968659536bea6811943ce2a2a28146f0285b6c11063ae61ec079212965c91a8d

Observation da72c4c8-3279-46af-9dcd-778c9c4e841c · outbound

This paper cites Gaussian splatting slam,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Gaussian splatting slam,

Reference 19

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source=pdf_text observed=2026-08-12T04:39:41.911907Z digest=sha256:f02a916cb188ae0dca7f7c9677ee76b7e2a56116b88ee1a53a89484095d7bafc

Observation ff80d832-782d-41de-9cf2-cd51bf5e2bed · outbound

This paper cites Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.916333Z digest=sha256:ddb73e75c1279937ea9db0b4bf660f7fe458c60416a75fa4eba57c23acdcfe8d

Observation 3272d2d9-1c91-49c8-acbd-f39e6d0fed61 · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Photo-slam: Real- time simultaneous localization and photorealistic mapping for monocular stereo and rgb-d cameras,

Reference 21

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source=pdf_text observed=2026-08-12T04:39:41.921605Z digest=sha256:49d4977a6c8eb00e13508be7b0b380886f648357ef8a9051023efc8bb525b29d

Observation 5d3dd9e7-aaae-4cc2-82c5-2d0cd5eb9a06 · outbound

This paper cites Neds-slam: A neural explicit dense semantic slam framework using 3d gaussian splatting,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Neds-slam: A neural explicit dense semantic slam framework using 3d gaussian splatting,

Reference 22

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raw_fallback, observed 2026-08-12T04:39:42.226318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.925931Z digest=sha256:e323232634b3971c17157307af6d7628d240a4f1e0c2208a885ac52c87d65918

Observation 6452d35d-ed32-4780-b1ad-d8acbaa6f8fc · outbound

This paper cites SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM

Reference 23

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source=pdf_text observed=2026-08-12T04:39:41.930306Z digest=sha256:29a36e436761e2bddf36125858e79443eb678401b019b9341aeb16566dc506f4

Observation 93bc3088-b136-4e01-93df-2c23a946d12d · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Sgs- slam: Semantic gaussian splatting for neural dense slam,

Reference 24

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raw_fallback, observed 2026-08-12T04:39:42.210839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.935559Z digest=sha256:db2a4ec9ae3f617237576451964a374e1133a73896ef3aa46852b0d6bb0afde2

Observation 4fc22d9b-dc7b-4ef1-b481-68bc9bd1c00f · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 25

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source=pdf_text observed=2026-08-12T04:39:41.940078Z digest=sha256:8deecc76e43322e9f14e278bcbdf850d297d8b96c05c0c89960278a46464ef4d

Observation 73907b11-6f3a-4c90-a900-a59fce7b186f · outbound

This paper cites Neural sparse voxel fields,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Neural sparse voxel fields,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.945698Z digest=sha256:00911a5a07ac38bbd70ac8dd33937e95a6d8975b147fc2d5d65b39d4fc007487

Observation ae4a8566-9697-4027-a373-b046fb5e2b91 · outbound

This paper cites Direct voxel grid optimization: Super- fast convergence for radiance fields reconstruction,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Direct voxel grid optimization: Super- fast convergence for radiance fields reconstruction,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.950199Z digest=sha256:d2010d9b0d9ff5c132c7f98cc088ee5de0f97d5d7def57b61f64e09693ac2395

Observation 41b6e08e-e8c6-44a2-bdbd-319fcb6a3430 · outbound

This paper cites Neural geometric level of detail: Real-time rendering with implicit 3d shapes,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Neural geometric level of detail: Real-time rendering with implicit 3d shapes,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T04:39:42.175003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.955511Z digest=sha256:0512a4e95c4148bf374cece7696ea7607fb8b934a9c9c830dab2e2428bbbef7d

Observation a040f940-fb10-4dc3-84c2-437bb9a377d2 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Neuralangelo: High-fidelity neural surface reconstruction,

Reference 29

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:39:41.960424Z digest=sha256:42e8fc73c0ad756324287197fa3770375d80c617c66b2433406fecee78c2e112

Observation 0411c97f-2cad-4c21-9e8b-930a1b9b5409 · outbound

This paper cites Bungeenerf: Progressive neural radiance field for extreme multi- scale scene rendering,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Bungeenerf: Progressive neural radiance field for extreme multi- scale scene rendering,

Reference 30

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raw_fallback, observed 2026-08-12T04:39:42.148658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T04:39:41.965084Z digest=sha256:8be3e887a1491d1e20f34fc02b24bf48bcebfcea6508cb33c8844692e1135def

Observation d957f0a9-9748-472f-a2d1-4d957942c90c · outbound

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

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.969721Z digest=sha256:7ad6d374f0e4a1957cab54568898c4baae9553362a802817640def7dc694b279

Observation 829e4206-5ac0-4ba8-9d81-bfd288900521 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting Image quality assessment: from error visibility to structural similarity,

Reference 32

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source=pdf_text observed=2026-08-12T04:39:41.974737Z digest=sha256:7847f788c5545a7ef0eb83a131b125df72faada89d6b7684aedbe52f209b1f66

Observation 4032b0b8-1691-4434-9f71-5bf6d832fe20 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.979176Z digest=sha256:5c733c15f5ad39f305f93bb1f02053ea0109307ffdc0f9dd8de4c9d91e8fd191

Observation 0122d544-3f28-4126-bb67-6e7283d52791 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting SAM 2: Segment Anything in Images and Videos

Reference 34

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unresolved
no resolver link, observed 2026-08-12T04:39:41.984408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:39:41.984408Z digest=sha256:629cd076baf5c997044f26737dd2ad90340b3f1afd7298f17859c1ead562d9be

Pith citing papers

Observation 667a41b4-a110-410d-b15a-f870917646c8 · inbound

LEG-SLAM: Real-Time Language-Enhanced Gaussian Splatting for SLAM cites this paper.

LEG-SLAM: Real-Time Language-Enhanced Gaussian Splatting for SLAM RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:15:02.589181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:14:56.345843Z digest=sha256:c50dc27827cdd72fa5cb2872f96f7cc246864b1216f4c342e2219e3cca765c07