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Paper Citation Record · LEDGER

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2504.21695.

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

pith.paper-citation-record.v1
2504.21695 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:01:42.567826Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7ca1441-2fce-412d-bdf8-7668a2585bf1 · outbound

This paper cites Visual-inertial navigation: A concise review,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Visual-inertial navigation: A concise review,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee8ba47c-c58e-4117-a722-c6cf4bdac870 · outbound

This paper cites Iterated extended kalman filter based visual-inertial odometry using direct pho- tometric feedback,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Iterated extended kalman filter based visual-inertial odometry using direct pho- tometric feedback,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5a73a229-7582-4b39-8677-08c8d8496e94 · outbound

This paper cites Cnn-based ego-motion estimation for fast mav maneuvers,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Cnn-based ego-motion estimation for fast mav maneuvers,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.495403Z digest=sha256:444eabc9320c4b573f96df32d830b9d56513d17ad6e7c17637d00ebc5a33e83b

Observation a705e410-7b46-4157-8762-75e575c27349 · outbound

This paper cites A self-supervised, differentiable kalman filter for uncertainty-aware visual-inertial odometry,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling A self-supervised, differentiable kalman filter for uncertainty-aware visual-inertial odometry,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.499074Z digest=sha256:a136f51b467bcca78edfc60fadc305a8d99528aee980765019fc997eb53f7109

Observation 0f27e369-5687-4dba-a5df-198fe24375be · outbound

This paper cites Cuahn-vio: Content-and-uncertainty- aware homography network for visual-inertial odometry,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Cuahn-vio: Content-and-uncertainty- aware homography network for visual-inertial odometry,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.502606Z digest=sha256:0f063cbfc2fdeb9cb8c6ad9d353d4659e13e35098423b702fa131e18430f4ab8

Observation b6c81f98-a13c-4e64-ace6-2d9e516c4a3b · outbound

This paper cites Alphapilot: autonomous drone racing,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Alphapilot: autonomous drone racing,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:01:42.506298Z digest=sha256:f10fc9383316b9cd0b151c0d4b0eba525db590af2a615ade9c138f226fcc8e7a

Observation 8fd4e09a-64d5-49c6-8283-102f9f294123 · outbound

This paper cites The sensing, state-estimation, and control behind the winning entry to the 2019 artificial intelligence robotic racing competition,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling The sensing, state-estimation, and control behind the winning entry to the 2019 artificial intelligence robotic racing competition,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.509964Z digest=sha256:9393c823750145439648c813b054f64a0e9fe28d759f4d9ee70319b737b360c5

Observation 22ddff52-e229-48cd-b76f-93138c28a3cb · outbound

This paper cites Learned inertial odometry for autonomous drone racing,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Learned inertial odometry for autonomous drone racing,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.513398Z digest=sha256:9a9748eb8a64c7a15d4ca5efa10f5ef7af8c1770559678239c0ae7dc2912b35a

Observation 02a198d0-dc71-4fb9-add0-a38e2b920a8b · outbound

This paper cites Champion-level drone racing using deep rein- forcement learning,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Champion-level drone racing using deep rein- forcement learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.516865Z digest=sha256:e376422c46ad36b698382ac95dff3ae053fd2ea6a5e7275ff3e92bae5c58ee4b

Observation 452f3984-9edd-46fe-a809-e0cb0e9c95d1 · outbound

This paper cites Intel realsense t265 series product family,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Intel realsense t265 series product family,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.520114Z digest=sha256:8e2c34bb18130e5238c7c582a182ee9cf6abc2c6a47d585a3488726f62a3c25c

Observation d3bd2591-9a8f-4921-92ac-790123d3d9b4 · outbound

This paper cites Demonstrating Agile Flight from Pixels without State Estimation.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Demonstrating Agile Flight from Pixels without State Estimation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:01:42.523332Z digest=sha256:30d5518b0766e6bad2c491b602e134f63529c86e6588dceeafb786b1cab57d69

Observation 7506f026-474b-493e-8dd4-68e0c11b7ee8 · outbound

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

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Digging into self- supervised monocular depth estimation,

Reference 12

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raw_fallback, observed 2026-08-16T05:01:42.740107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.527297Z digest=sha256:bf0b9c045750ef6f2b306b0c6f249c77bb3a509268d14d89483516240b525b9e

Observation c3d96a8e-3cbe-42fe-9ee4-4c14f8b1f2b8 · outbound

This paper cites Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.530881Z digest=sha256:0002efbf6cc31dadace40b91594ef05f5871a315e8e1bb48f6762d91b037f8ca

Observation f8e909b3-7818-434d-9449-ba3c238a3ef1 · outbound

This paper cites Unsupervised scale-consistent depth and ego-motion learning from monocular video,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Unsupervised scale-consistent depth and ego-motion learning from monocular video,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.534333Z digest=sha256:db8fd6216d3ad3e1115c5a694ae09c2d48a571b1fed6305d1c6f07ca307adec2

Observation cf8d0d5d-6ee2-4a83-a538-e2c549ff116d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling U-net: Convolutional networks for biomedical image segmentation,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.537684Z digest=sha256:5ba78c7e0c4aa50412131d5cd67029f7b4a3d5be30952a3eacc9b36c1a60f7a7

Observation ade11221-c9d2-4613-8c3c-b275b1c29cca · outbound

This paper cites Deep residual learning for image recognition,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Deep residual learning for image recognition,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.544200Z digest=sha256:c72b7460f62d670791a5357fa996cc642fb7a318f2d48a136ad138fad6dee069

Observation 17dc4209-49db-443e-bc22-9783f6a42815 · outbound

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

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Image quality assessment: from error visibility to structural similarity,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 38c42807-a629-41a9-9e8f-411f48c392e8 · outbound

This paper cites Unsupervised monocular depth estimation with left-right consistency,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Unsupervised monocular depth estimation with left-right consistency,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.550936Z digest=sha256:caeb122622198d4841ce3cdd9befc50f3d4f25ca7c73fe229deeac6e009b8aa5

Observation 5f28dfc2-835b-4cb7-8eef-6026a921b8b7 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:01:42.554109Z digest=sha256:324db37d1939862c06604de258a38ea29fb3e77fec2ef7c78b989e06cdc7e8a7

Observation 33a31b00-baf8-4240-ac78-4ad7be1a9782 · outbound

This paper cites The betaflight open source flight controller firmware project. betafligh,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling The betaflight open source flight controller firmware project. betafligh,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.557515Z digest=sha256:6f05be1349cbe541a426f327c10f4ad6cb6f36d4b176556fef5083ab6fa11d79

Observation e2f11e2c-ff71-42d2-9d5a-ff024639c4c6 · outbound

This paper cites Quadrotor thrust vectoring control with time and jerk optimal trajectory planning in constant wind fields,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Quadrotor thrust vectoring control with time and jerk optimal trajectory planning in constant wind fields,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.561009Z digest=sha256:747c51b971107f3ae6eb751cd91365f997826ff05c12fe064293590e25587399

Observation 1dbc5566-89dd-4f6e-a33d-f13c3219373a · outbound

This paper cites Race against the machine: A fully-annotated, open-design dataset of autonomous and piloted high-speed flight,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Race against the machine: A fully-annotated, open-design dataset of autonomous and piloted high-speed flight,

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:01:42.564467Z digest=sha256:1e0d54ced8cca7e97a6d63450bad1586df6137a6cdd93279212cb39f842c1b88

Observation c0b62933-ce0f-4ad3-a383-490fb0e3fa47 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns,.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Least-squares estimation of transformation parameters between two point patterns,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:01:42.567826Z digest=sha256:2f4843f0c720cf64a5ed2238493f3fc7c1247fb10d293db8beb0fc42eac329ef

Observation c2b4cde8-457f-4394-b2ef-1e893c026bb3 · outbound

This paper cites an unresolved cited work.

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Unresolved cited work

Reference 9351

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.