Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:23.322222Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.08142.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:23.322222Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
18 of 18 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d2bf671a-6fdd-49a0-b1e5-ca97172760d8 · outbound
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6ca26d5b-b4b7-4b71-afef-e3aa714cf22d · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying NICE: Non-linear Independent Components Estimation
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4411958f-491c-4d94-b932-623366d7e1dd · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Generative adversarial nets
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4e9cbeba-284d-46f0-a22c-6a04564d8fc4 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Denoising diffu- sion probabilistic models
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05616b4b-c216-4e6c-9753-103598cd7d08 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Image-to-image translation with conditional adver- sarial networks
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e2ac3424-31f6-4121-918e-f3dfe1bdc982 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Auto-Encoding Variational Bayes
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea6a3899-0bbd-4e59-b3eb-0cd19de5c537 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Overnight sleeping cabins
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f7d168b8-32e0-41c5-8ae8-94a8bf83dcf6 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 43b6f5f4-6976-48b3-943d-de4f4b45e326 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Conditional Generative Adversarial Nets
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25014150-d1c9-4fb7-b0f5-489fc6f2bd7a · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Masked autoregressive flow for density estimation.Advances in neural information processing systems, 30, 2017
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1558cdc7-fcb1-47f6-a5b0-ac20a076147a · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Learning deep object detectors from 3d models
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 267afd8b-d521-41f2-a0f5-6442d6cdb25b · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Zero-shot text-to-image generation
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2834b617-83e3-4f03-b47b-96f959a40008 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying YOLOv3: An Incremental Improvement
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8915237a-6f63-4caa-b007-2873ce067799 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying High-resolution image synthesis with latent diffusion models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49bdf030-17c4-48ba-a3e9-54a35aecc34e · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying U-net: Convolutional networks for biomedical image segmentation
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation beb2b665-0e64-495a-920e-4906e92d177f · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Deep unsupervised learning using nonequilibrium thermodynamics
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a4a775c1-3b80-47c3-8ed9-e01c600456aa · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Generative modeling by esti- mating gradients of the data distribution
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c2a458d-6c13-4b4e-a7df-b03fb16a4324 · outbound
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Revisiting unreasonable effectiveness of data in deep learning era
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
No inbound Pith citation observations are available.