Paper Citation Record · LEDGER

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.09682.

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

pith.paper-citation-record.v1
2508.09682 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:56:02.660919Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

40 of 40 outbound references displayed

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verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 555e16cf-5074-417a-8f5d-ad382a2094e5 · outbound

This paper cites Stereo depth estimation via self-supervised contrastive representation learning,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Stereo depth estimation via self-supervised contrastive representation learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.940680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7387422-ef61-41c5-8ff9-cce9a7af5192 · outbound

This paper cites E-DSSR: Efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays E-DSSR: Efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.934260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbe3cda4-2c61-419e-a214-e45a81aacb0e · outbound

This paper cites Self-supervised domain adaptation for patient-specific, real-time tissue tracking,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Self-supervised domain adaptation for patient-specific, real-time tissue tracking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.927866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ec70069-9812-494c-8cde-3a7030869410 · outbound

This paper cites Bimodal camera pose prediction for endoscopy,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Bimodal camera pose prediction for endoscopy,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.921478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 333429d3-d12b-44b0-b8d3-01c7f1c8d4ea · outbound

This paper cites Structure-from-Motion Revisited,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Structure-from-Motion Revisited,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.914884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2792e3f-532a-4cab-8d2d-cbb1f10540cf · outbound

This paper cites Evaluation and stability analysis of video-based navigation system for functional endoscopic sinus surgery on in vivo clinical data,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Evaluation and stability analysis of video-based navigation system for functional endoscopic sinus surgery on in vivo clinical data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.908442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c0bb143-e706-4987-81b7-6bb4b3a2ad93 · outbound

This paper cites Visual slam for handheld monocular endoscope,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Visual slam for handheld monocular endoscope,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.901481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1df88bd6-2ede-4949-a4de-b905f2452640 · outbound

This paper cites 3d endoscopic depth estimation using 3d surface-aware constraints,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays 3d endoscopic depth estimation using 3d surface-aware constraints,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.895357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3988ef26-c389-422d-998f-0823dd3da2dd · outbound

This paper cites Stereo dense scene reconstruction and accurate localization for learning-based navigation of laparoscope in minimally invasive surgery,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Stereo dense scene reconstruction and accurate localization for learning-based navigation of laparoscope in minimally invasive surgery,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.888390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8472ae11-6701-48d8-be21-5e5cab6cd5b9 · outbound

This paper cites Dense depth estimation in monocular endoscopy with self-supervised learning methods,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Dense depth estimation in monocular endoscopy with self-supervised learning methods,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.881600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a36b8d3-a456-49f2-8cc9-f52449527559 · outbound

This paper cites Endo-Depth-and-Motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Endo-Depth-and-Motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.875089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d49a98db-a37f-4d24-b65d-09b93b157e75 · outbound

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

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.868149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 435657db-e09a-4b91-a64e-29e35a2bccce · outbound

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

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays 3D gaussian splatting for real-time radiance field rendering,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.861522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 465ba94c-b69f-4160-a648-d1b26280c87a · outbound

This paper cites Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T20:56:02.608461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e28f5c-8e91-4a2b-91b2-2e1e9cd65172 · outbound

This paper cites Realistic surgical image dataset generation based on 3D gaussian splatting,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Realistic surgical image dataset generation based on 3D gaussian splatting,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.854611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b96ee3c-3a23-4726-9538-1aec674b5ad3 · outbound

This paper cites Free- SurGS: Sfm-free 3D gaussian splatting for surgical scene reconstruc- tion,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Free- SurGS: Sfm-free 3D gaussian splatting for surgical scene reconstruc- tion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.846792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6b341f2-5dd6-4438-b194-c91ec33c8bcf · outbound

This paper cites Tracking everything everywhere all at once,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Tracking everything everywhere all at once,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.839309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e719b45-1045-404a-bf2d-936e2124bee6 · outbound

This paper cites Surgical tat- toos in infrared: A dataset for quantifying tissue tracking and mapping,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Surgical tat- toos in infrared: A dataset for quantifying tissue tracking and mapping,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.832592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ed7889b-562f-4865-8d94-3a956d8d7522 · outbound

This paper cites Stereo correspondence and reconstruction of endoscopic data challenge,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Stereo correspondence and reconstruction of endoscopic data challenge,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.825811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0debc3e-3378-46b6-a2bb-6a12c3932aa4 · outbound

This paper cites SENDD: Sparse efficient neural depth and deformation for tissue tracking,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays SENDD: Sparse efficient neural depth and deformation for tissue tracking,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.818776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 245e31cb-8c21-40a2-9309-d41afc495644 · outbound

This paper cites Digging into self-supervised monocular depth prediction,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Digging into self-supervised monocular depth prediction,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T20:56:02.622473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61c06a6-ac1a-40c0-ae52-64ef457c8baa · outbound

This paper cites Motion compensated slam for image guided surgery,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Motion compensated slam for image guided surgery,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.808394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afebbe71-62ab-45ea-819c-a36f0b48d905 · outbound

This paper cites EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.802479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f8a9825-af72-43e9-8bb0-d039b367e7a2 · outbound

This paper cites MIS-SLAM: Real-time large scale dense deformable SLAM system in minimal invasive surgery based on heterogeneous computing,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays MIS-SLAM: Real-time large scale dense deformable SLAM system in minimal invasive surgery based on heterogeneous computing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.795720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4dc03c0-fda4-490b-9c57-f86b57977f79 · outbound

This paper cites Tracking monocular camera pose and deformation for slam inside the human body,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Tracking monocular camera pose and deformation for slam inside the human body,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.788922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50a3ce6b-d4e9-4351-87fe-976e7862c921 · outbound

This paper cites EMDQ-SLAM: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays EMDQ-SLAM: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.782710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5a308cf-59d1-42f4-82ec-b94019703526 · outbound

This paper cites RNNSLAM: Reconstructing the 3d colon to visualize missing regions during a colonoscopy,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays RNNSLAM: Reconstructing the 3d colon to visualize missing regions during a colonoscopy,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.776485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5431e3df-4dba-46cf-b84e-148cbc6ad475 · outbound

This paper cites Transferring relative monocular depth to surgical vision with temporal consistency,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Transferring relative monocular depth to surgical vision with temporal consistency,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.770284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de8968f7-7218-4c10-a8ff-7f90d10719af · outbound

This paper cites Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.763295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a67c5a99-8af8-443c-8992-5c3043686976 · outbound

This paper cites Online 3D reconstruction and dense tracking in endoscopic videos,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Online 3D reconstruction and dense tracking in endoscopic videos,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.756796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51ca3277-edfa-42d3-ab2e-73cb02ad0577 · outbound

This paper cites Tracking everything in robotic-assisted surgery,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Tracking everything in robotic-assisted surgery,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.750237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f469974d-a2b7-4353-9b01-8125ddcc8d7a · outbound

This paper cites Track everything everywhere fast and robustly,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Track everything everywhere fast and robustly,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.743480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 798a698d-e1b5-4624-91b4-9c2cbcb204b8 · outbound

This paper cites NerfAcc: Efficient sampling accelerates nerfs,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays NerfAcc: Efficient sampling accelerates nerfs,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.737131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1bbd24f-14eb-47c6-bffd-95816b478a49 · outbound

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

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Raft: Recurrent all-pairs field transforms for optical flow,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.730194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9ba32f8-24fe-4311-a596-6a1575eb8010 · outbound

This paper cites CoTracker3: Simpler and better point tracking by pseudo- labelling real videos,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays CoTracker3: Simpler and better point tracking by pseudo- labelling real videos,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.721429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22bb4c5f-9203-44df-8fe9-c103c23bae52 · outbound

This paper cites MFT: Long-term tracking of every pixel,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays MFT: Long-term tracking of every pixel,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.714442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bc40669-148e-490d-b5a1-0df40cded451 · outbound

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

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Mip-NeRF 360: Unbounded anti-aliased neural radiance fields,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.707625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 895503ff-a495-49f1-a777-1ca35462ac32 · outbound

This paper cites Segment anything in medical images,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Segment anything in medical images,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.701008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b13f24b-4a6b-4b53-b660-668775f14d3e · outbound

This paper cites HexPlane: A fast representation for dynamic scenes,.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays HexPlane: A fast representation for dynamic scenes,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:56:02.693865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15515dd9-fea1-47b0-ae6c-ce1587ba5f15 · outbound

This paper cites Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge.

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T20:56:02.660919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.