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Paper Citation Record · LEDGER

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration

As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2504.16545.

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

pith.paper-citation-record.v1
2504.16545 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:04:06.896789Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy36
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ed40feb-34e3-42c4-9f79-031956ff8915 · outbound

This paper cites Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.719034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.719034Z digest=sha256:70be4b59de92b5ca42de61d245eca0bc29b4690fef0209ea0ae8c6fea035edfd

Observation eb03531e-1e91-49f8-9c3c-907b265378e3 · outbound

This paper cites VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.722891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.722891Z digest=sha256:377b570ffda5cbed6f9c05d44a7e600fc5d1922b21dc4e4ceaa443a98657f5ac

Observation 335341c6-8ee9-4297-814a-8b08bbec6d15 · outbound

This paper cites Depth on demand: Streaming dense depth from a low frame-rate active sensor.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Depth on demand: Streaming dense depth from a low frame-rate active sensor

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.465636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fbdcf958-de99-4242-9a9a-b8a81d49f9ee · outbound

This paper cites Mat- toccia.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Mat- toccia

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.452860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.730365Z digest=sha256:1190b67cb28731706912506f10eadcb56c3b0a7b9232b7a295af918cfbee0d07

Observation 76bd8b42-8a04-4ba8-871a-f16061adb715 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration ScanNet: Richly-annotated 3d reconstructions of indoor scenes

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.442192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.733940Z digest=sha256:d708b6214e2c204f7260345f277940a87d98546bee7f6df926cf40bf7e51fbbf

Observation f7632447-e157-4b5e-8fab-30f9fffd4932 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration BundleFusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.431017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.737349Z digest=sha256:2cd671b281e9ee941a9df4cfe1980862ac20bb5149686e3236e0da7ac55c248b

Observation 2763e631-a4aa-43a0-b9dc-60a24d307690 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Plgslam: Progressive neural scene represenation with local to global bundle adjustment

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.420076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.740870Z digest=sha256:cac8e4e260dbb64ad8826503827f91a73f8cdeb031096f3495de7e6bd8df6ce3

Observation ad55495a-8ba8-4deb-83e4-4cf12b4c96ac · outbound

This paper cites Keyframe-based real-time camera tracking.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Keyframe-based real-time camera tracking

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.408952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.743854Z digest=sha256:1c6790d0a9df419724ce70b05e23a2b92179a1d94443505f051a1a6109ba5eb7

Observation c772eb74-bcaf-4104-a0f2-b71146dac5a4 · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.747473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.747473Z digest=sha256:893f2f432a8f65bffa4beab8c0ea5ee3c0babc90312885596938af93b76fbd78

Observation ee45e2bc-d421-451a-ad81-8a495a4a5fbc · outbound

This paper cites KinectFusion: real-time 3d reconstruction and interac- tion using a moving depth camera.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration KinectFusion: real-time 3d reconstruction and interac- tion using a moving depth camera

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.390032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.750446Z digest=sha256:6b84b63482de36714c9548e3ca82dade58ac1f4d8c3c7f7d2ed19ede01f83968

Observation cc90c930-2b83-4cc7-9e0c-41bf47169e1a · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Eslam: Efficient dense slam system based on hybrid representation of signed distance fields

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.379922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.753382Z digest=sha256:731be74e1e76b59b65e3c5154029944f02e30095432b169f32c551441d91bfc9

Observation 31c2808e-b56f-4bc3-893f-c80ffa0b6f39 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Splatam: Splat track & map 3d gaussians for dense rgb-d slam

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.756636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.756636Z digest=sha256:ef705056204a6723017310754f1aaa110a21ab2195b5c191ca3bf3f65f3b1b7f

Observation 443de2c6-44c0-4855-9195-d9c24e6d2acf · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration 3d gaussian splatting for real-time radiance field rendering

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.362500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.759943Z digest=sha256:6511b234bfa95d25162fac36d0e5cc9e44d890e860c1eb93aab7b27e5c859536

Observation e35ae560-dcea-41a6-ac1e-4bc2ae34151c · outbound

This paper cites Parallel tracking and map- ping for small AR workspaces.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Parallel tracking and map- ping for small AR workspaces

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.350869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.762896Z digest=sha256:85971a801ebbffc8e6d4dff2066b51cb93292c8ab1542cafa1397bf0d9047044

Observation 9ec478ad-cd8d-48b2-9285-bba3eac48c26 · outbound

This paper cites Structure-slam: Low-drift monocular slam in indoor environments.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Structure-slam: Low-drift monocular slam in indoor environments

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.339959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.766039Z digest=sha256:3fc7cd21daa302d912e1522826da2c0c49f153716879b8bd73988017a3cf4581

Observation 7eebf359-71ba-49a6-a78b-e86ff0a9760b · outbound

This paper cites Deltar: Depth estimation from a light-weight tof sensor and rgb image.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Deltar: Depth estimation from a light-weight tof sensor and rgb image

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.328515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.769478Z digest=sha256:30fbce58f064e7491caedf750f42f211b1169fba06296d9957bf4053640a90df

Observation 9d9d24d3-5321-4c66-b8c5-e72c5b0e79e2 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Loopy-slam: Dense neural slam with loop closures

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.773328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.773328Z digest=sha256:f6adcf7f002b04e49ab3a58534b8170708fce8deef8d6b5e61119059b81c6bd3

Observation a3d072fb-8db2-4111-bf35-5c6cebc3468d · outbound

This paper cites Robust keyframe-based monocular SLAM for augmented reality.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Robust keyframe-based monocular SLAM for augmented reality

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.309927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.776923Z digest=sha256:db3cae691f6dc06364a0eac6f5f233a10a1f1ac6f8cfe23eac2cdd63d69d7019

Observation 64a60c78-23c4-4d16-8a6e-c1d34492ac45 · outbound

This paper cites Multi-modal neural radiance field for monocular dense slam with a light-weight tof sensor.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Multi-modal neural radiance field for monocular dense slam with a light-weight tof sensor

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.299084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.780456Z digest=sha256:3b02faed14eb466198b12054d4e79cfa14bb185d9e6f49a075b5d0dd9537d149

Observation 8400d4cd-9169-428e-b99c-36882c8bdfc1 · outbound

This paper cites an unresolved cited work.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-08-16T11:04:07.287339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.784163Z digest=sha256:b8e807cc5f4a066ae254648e5c9f520dc3d2fdaa50ea0e1fdabb8e7e5f335c0a

Observation 149e9389-643a-4b6a-a2c0-02a530c66aa5 · outbound

This paper cites Dynamic 3d gaussians: Tracking by persis- tent dynamic view synthesis.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Dynamic 3d gaussians: Tracking by persis- tent dynamic view synthesis

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.276872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.787445Z digest=sha256:1a83a02251d069da2d3b7ec103d76f260d8ad6dc65ada045a90c4c2bcda43c8b

Observation 0f6712e8-00b3-45bd-946f-3e9c578a0504 · outbound

This paper cites Kelly, and An- drew J.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Kelly, and An- drew J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.266346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.790948Z digest=sha256:66bb1c7ee4b47f694faa62564e9b2552e340c864092bb37d58345dc69b89bd67

Observation e9603d8b-34b6-43cd-bae7-e7935a694dfa · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view syn- thesis.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration NeRF: Representing scenes as neural radiance fields for view syn- thesis

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.255832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.794404Z digest=sha256:a95452b3b842390b5d0e57d58c829dacce3444823c55152f6a67bddc618e2c00

Observation b5f543d3-e203-4dab-9e5e-581e93c97452 · outbound

This paper cites Tard ´os.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Tard ´os

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.245522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.798031Z digest=sha256:5ab60b6c2467cb81fbbae5b2b6b80c12fcf49d08de5d511d42d8b07c1bfa0053

Observation 613771e8-8e5d-4066-aa67-d28ea1b2d3db · outbound

This paper cites Rgb guided tof imag- 9 ing system: A survey of deep learning-based methods.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Rgb guided tof imag- 9 ing system: A survey of deep learning-based methods

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.234985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.801759Z digest=sha256:8291e0f624cc7e721152fbf5e766a8dd145b952d37aca24cedeccaaf97753765

Observation 9aa6c643-56c7-46fa-a70f-c01dd0e4bb60 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Point-slam: Dense neural point cloud-based slam

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.805475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.805475Z digest=sha256:5b85786d1446e9dfb82854d1605f3d7de8ea6c217c828e833590045e900cf0c2

Observation d289c34d-15b0-4bc9-9f6b-e015030ed0b0 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Bad slam: Bundle adjusted direct rgb-d slam

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.809012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.809012Z digest=sha256:942c93cde129c8639c8fdae4ce2f3d7f6237022a9dae744bf64f3787ed685720

Observation 7e0b68ec-43ff-4f32-96b8-3d80cde49c32 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.812873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.812873Z digest=sha256:0862a3aef59f62d67a9478d43a298129087df5052ddff216633b69ed9e5a9edc

Observation 9cc6ca71-fa67-4f82-ae76-29b233dec9c1 · outbound

This paper cites A benchmark for the eval- uation of RGB-D SLAM systems.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration A benchmark for the eval- uation of RGB-D SLAM systems

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.210898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.816740Z digest=sha256:8238db765b09f7d39fb8242b618477ba16084c97d346b12e3dc50f35dea16919

Observation 59b5672e-a13a-43c8-8613-7be8470ebf3e · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration iMAP: Implicit mapping and positioning in real-time

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.200281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.820407Z digest=sha256:0c4b21d5cf0f7ced62e4dd5565003df5f10bc3a2959342de62871980fb9bad62

Observation f57d58bd-f71e-4904-b824-0990e70dafdb · outbound

This paper cites Cnn-slam: Real-time dense monocular slam with learned depth prediction.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Cnn-slam: Real-time dense monocular slam with learned depth prediction

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.823800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.823800Z digest=sha256:99396c9bc715123f07b85dc761ea15d5793b9ef480e84982123620e5ea97aec8

Observation 6a0190ec-e1b8-450a-b334-33abf24c6a89 · outbound

This paper cites Droid-SLAM: Deep vi- sual SLAM for monocular, stereo, and RGB-D cameras.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Droid-SLAM: Deep vi- sual SLAM for monocular, stereo, and RGB-D cameras

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.181854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.827096Z digest=sha256:4b40707a9e4be0f71fb36bf67490ae60c642c6361c365d72f029513b9891facc

Observation 9bcbfd24-5c5b-467d-b589-1c56d5653a4c · outbound

This paper cites Oswald, and Matteo Poggi.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Oswald, and Matteo Poggi

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.170032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.830567Z digest=sha256:f50e8c2ac7bb4c465aa6e88e4cc6e206044b7a907667a82b3e860f4317e2054a

Observation 9f4fc976-369e-4a97-9f3d-39ad2c24b877 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Co- slam: Joint coordinate and sparse parametric encodings for neural real-time slam

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.833996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.833996Z digest=sha256:2bbbd62a524f6491bbe1606a17a9203fd76013dc316431800ebdace0acfa6dfc

Observation d87e1719-6ed0-4a93-aecb-bd88df3621ef · outbound

This paper cites Differentiable surface splatting for point-based geometry processing.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Differentiable surface splatting for point-based geometry processing

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.152729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.837252Z digest=sha256:d4c6345f875a313cf16e3e1ca44d965217b3f7a323189f0faf6700c3ff1ab947

Observation ac093857-934c-42b3-99df-10cfa8ef8c3f · outbound

This paper cites ElasticFusion: Real-time dense SLAM and light source estimation.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration ElasticFusion: Real-time dense SLAM and light source estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.141330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.841573Z digest=sha256:bc2dfe732ced7e7f9f396c6d718239cbd84336b810abcfd7cf79ff8ae479b268

Observation 4e079745-7d4b-40ae-a0c7-d91b247a1819 · outbound

This paper cites Kn-slam: Keypoints and neural implicit en- coding slam.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Kn-slam: Keypoints and neural implicit en- coding slam

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.125954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.845187Z digest=sha256:0e78ab54a5a49f097ea7faefd288923f7abe9e66b3381a0f125e27ebdaadf8ef

Observation 9c7ca575-8195-4f69-9539-7a5e10aab691 · outbound

This paper cites Multi-modal neural radiance field for monocular dense slam with a light- weight tof sensor.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Multi-modal neural radiance field for monocular dense slam with a light- weight tof sensor

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.114005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.848278Z digest=sha256:3434e4d599136c479f7dea952f70bdf526af2d7894cdfeb91aedc62aae29092c

Observation c6b5b996-1f02-4ca8-b4c9-f61a59edd7f2 · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Gs-slam: Dense visual slam with 3d gaussian splatting

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.851385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.851385Z digest=sha256:0c3d2cf22ae448779870a0852275e8fbb13c6ff5c25529176168c17788c3e0a9

Observation c235a66d-8d9c-4725-a292-d507aa0414ac · outbound

This paper cites Depth Anything V2.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Depth Anything V2

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.854437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.854437Z digest=sha256:2428e46411f15cda9a51349824f374f4d3a529bd70728550f5aad19b17c3948e

Observation 6548d9af-4b14-4ddf-903b-3baf7ba7091a · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.857645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.857645Z digest=sha256:9578c003afcfa3ab71942d1765014748b834e5d131b6a106b9fb538c93b477cc

Observation 83361f67-cf45-4a30-b6d7-bab8f2730598 · outbound

This paper cites Os- wald.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Os- wald

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.861213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.861213Z digest=sha256:21d0419f77c85491bb1973ed2b22d1bced6074534d71f0bfa3ff2a9aaacd3fc9

Observation 71ed2d53-9bf1-4a76-b0ea-dfe5ca1f253d · outbound

This paper cites Recovering consistent video depth maps via bundle opti- mization.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Recovering consistent video depth maps via bundle opti- mization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.090574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.863935Z digest=sha256:c8df168c122121756de68917010d879d1170c278186eb12bb49fedb6170dec91

Observation b1fee473-ee69-4582-a80f-0019bd096f35 · outbound

This paper cites Go-slam: Global optimization for consistent 3d in- stant reconstruction.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Go-slam: Global optimization for consistent 3d in- stant reconstruction

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:04:06.867442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:04:06.867442Z digest=sha256:196aa242d6db75db189a732ee3245383d2e39ac9b3006d8fe7de700d7e3ee54a

Observation e14dd3a3-2e9a-430e-9142-1aff464389ad · outbound

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

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Nice-slam: Neural implicit scalable encoding for slam

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.073148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.870482Z digest=sha256:5e9397da02a6bb54f45b30697c30a904977229361e2694c2339975758a615373

Observation c7b52800-8712-4cd6-8ad5-af3b379d3255 · outbound

This paper cites NICE-SLAM: Neural implicit scalable encoding for SLAM.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration NICE-SLAM: Neural implicit scalable encoding for SLAM

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.062901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.873244Z digest=sha256:d1bf2f418d59f7af3d8fe94c9a92411643330aaa65ec4dd79366ad8dfa7e76d1

Observation 2ea8708c-0664-4f08-a6b2-6bc1a0123cc5 · outbound

This paper cites Oswald, Andreas Geiger, and Marc Pollefeys.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Oswald, Andreas Geiger, and Marc Pollefeys

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.052860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.876164Z digest=sha256:fca0faef721ba5e54dfb0127e7cdff34c1ebbc9907f1e64a092f2369644a68a8

Observation a8a94865-53c6-46a9-ab10-a575b7c2afc8 · outbound

This paper cites OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:04:06.934048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.878807Z digest=sha256:1b5f6e526044a5dce9ad50a4321f6b6e136f207f4b85b7f2a46ffdbb255c3082

Observation ceb31548-6ae9-4fa5-b301-3d91f147a365 · outbound

This paper cites ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.042701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.881810Z digest=sha256:24e875e290ee06c79b445e7732075c2b97be55390ea6fc4285d77ed111ec10b5

Observation 665d7fad-69fe-4198-bd27-6a60be8c702e · outbound

This paper cites Indeed, we obtain high-quality depth maps from sparse inputs.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Indeed, we obtain high-quality depth maps from sparse inputs

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.031700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.884322Z digest=sha256:26e24bb2bd5bc748f2235d1546eb24241b1efbfbe590697c2f552a9b80f40097

Observation 9d3303f1-4912-4595-9b02-e4d14272ba77 · outbound

This paper cites To achieve this, we first fit the entire scene and render depth and color images for each pose estimated by ToF-Splatting.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration To achieve this, we first fit the entire scene and render depth and color images for each pose estimated by ToF-Splatting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:07.020602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.887260Z digest=sha256:e8d0f1c9c4753a70d0bfe2b086b4407014cb7862042587cc7468197a231ae08b

Observation e155d354-6f93-401e-a31e-54d5324df8fd · outbound

This paper cites an unresolved cited work.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:04:07.009538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.890384Z digest=sha256:7be98bf31d5d598c0fe672451106dea9886b1d6ad50ce7bab3a4e9f94aee172a

Observation 97eb200e-02c4-462f-93e8-2e832bb01129 · outbound

This paper cites Thus, only a subset of the RGB frames is coupled with sparse depth in- formation.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Thus, only a subset of the RGB frames is coupled with sparse depth in- formation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:06.998856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.893416Z digest=sha256:ecda15af8abf7d578544287876323b6c44cf15a3f232134bc655d396d6a74a01

Observation 6d675af1-4bd6-472f-b2b6-f8e9f2a26d83 · outbound

This paper cites Specifically, we significantly modify its in- nermost logic to integrate monocular cues and handle a larger number of frames to overcome the original two-frame configuration.

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration Specifically, we significantly modify its in- nermost logic to integrate monocular cues and handle a larger number of frames to overcome the original two-frame configuration

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:04:06.987744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:04:06.896789Z digest=sha256:47843f378bd7f2be6fdb1dcf69f6dbea3021fa3cbb6c79234f29b24c679b25ab

Pith citing papers

No inbound Pith citation observations are available.