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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.487193Z digest=sha256:db6fe7a29ba40a1fc3a356838677993d90e8f42c1d4097062da93d952a4ba7d6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.491745Z digest=sha256:c2ffdb255686abbe92547528c23e8a6c560b7b164c4116ba10356ea8fdf6b7e9

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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.499074Z digest=sha256:280c9b02c9b7717ba057dd59e3134fe2502f47bca100f855344a125b5121e62e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.502606Z digest=sha256:3ea4e38b92c66c40f29f7e108483cc8b051c3ac10170fcbf2a17be13a7f895eb

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:e2a5f79310220c21ee3a3b35c716d224794a9aa431aff929878d6610bacbb05b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.509964Z digest=sha256:aab7d0d8b34745c30ee67a87d6d44cc8b5fefc04ff7ab644bc5defcd784bd7ee

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.513398Z digest=sha256:b7710522a787e75e54b4f5a86cae4c7b91889d0aeb031e792dfb781b58d390f0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.516865Z digest=sha256:940bc0ed6364fe08415a5af590c13964d5a5d34e29dbfd19721e9a6a03fe86d6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.520114Z digest=sha256:a95436c636c938cfb30957aacaccdd73a1a5c68cd2305e3f46edc65027cb8ce2

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=sha256:8594ab10c65578ae6fa929bb0946b37ba1259993956c54c3bf84b8e050fbbb8e

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

Resolution
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T05:01:42.527297Z digest=sha256:c5692db6327f2f0fa01c3f228749ff13b36542fc5c334d2c0a069d7cd953234b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.530881Z digest=sha256:f192a06715e90c80b8228d0410ee4aaafbdcb79c0d5ee7e9ebe347efd4bc1a7c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.534333Z digest=sha256:f7fc367f24c5aa6f2969207fcf198b018e92cfcf1b73cd8a4ebbe6e6b06d142c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.537684Z digest=sha256:22de4d55952e5fb9e7c6dc1d1eb84d0537fb5ddbdad3e720412591adf16805e6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.544200Z digest=sha256:c57a2080372497f780a6fa2f1cc69432419d746538c36d24eda19fc1e84d37b7

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.

source=pdf_text observed=2026-08-16T05:01:42.547569Z digest=sha256:a656caec4109a1cee6fe1d38551df0a051f9d86ed4a9f1ef7b2b0b6a09a44117

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.550936Z digest=sha256:1d60eb20429abc26c045c552e9dd5a36b20f489bfa9fef9e7cc77148e1fd70f6

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:ba45ae852791e6fe1a1c984196d6c890640e5a6d2b28e848dfa2fe78f3c48715

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

source=pdf_text observed=2026-08-16T05:01:42.557515Z digest=sha256:d2d23dd8b632600e5c6e216a4c852d9cba8c0ef76943538dead70b01bd836e46

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.561009Z digest=sha256:50c716a5d4ed163a78d9ebd35f937ad36ad60b09a166cd4ddde14a1cc8fff8dc

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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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T05:01:42.564467Z digest=sha256:da5f3025fffb973fe83e68eb7a8d9a64a6685c8b6d6acde3bec1572b393b1552

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:eae323b1fbeb8909ee3896331db44c7a26afa23fb8f300477f5edd7928734205

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T05:01:42.540987Z digest=sha256:7da75d38ad6eedb232197fed2cb33eda55720a6c52a5a1906bfc5e88aec150fe

Pith citing papers

No inbound Pith citation observations are available.