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Paper Citation Record · LEDGER

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying

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.

pith.paper-citation-record.v1
2501.08142 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:23.322222Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

18 of 18 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2bf671a-6fdd-49a0-b1e5-ca97172760d8 · outbound

This paper cites Golden hour.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Golden hour

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-10T20:34:23.593900Z

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.

source=pdf_text observed=2026-08-10T20:34:23.242067Z digest=sha256:afe60c65b9a573696b55801a46ba046010dd9f435dbe9759b4c0736e1fb04314

Observation 6ca26d5b-b4b7-4b71-afef-e3aa714cf22d · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying NICE: Non-linear Independent Components Estimation

Reference 2

Resolution
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no resolver link, observed 2026-08-10T20:34:23.247677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.247677Z digest=sha256:e90350c0cb8b898d7c238531d0111c649063cfe009c6436946130d3017070e00

Observation 4411958f-491c-4d94-b932-623366d7e1dd · outbound

This paper cites Generative adversarial nets.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Generative adversarial nets

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.743236Z

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.

source=pdf_text observed=2026-08-10T20:34:23.252908Z digest=sha256:77fd474508b29f86d546f7cec6533e0214a7fd8d63d812ab66c30d2e1e6e10e6

Observation 4e9cbeba-284d-46f0-a22c-6a04564d8fc4 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Denoising diffu- sion probabilistic models

Reference 4

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no resolver link, observed 2026-08-10T20:34:23.258067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.258067Z digest=sha256:16b8fbb6f7e72cf5c9269c352ff10339eb8dae20abcbf46e7c50bd7c2223788a

Observation 05616b4b-c216-4e6c-9753-103598cd7d08 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.718706Z

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.

source=pdf_text observed=2026-08-10T20:34:23.262927Z digest=sha256:3dd7a84f78b885e59a82c32401b572c685b6e57c51bcb6be0b0cce1e2ec2ae52

Observation e2ac3424-31f6-4121-918e-f3dfe1bdc982 · outbound

This paper cites Auto-Encoding Variational Bayes.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Auto-Encoding Variational Bayes

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:23.267647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.267647Z digest=sha256:ee27b46ca81c26444586b5422d93c7749d8b96f37ee1537e477b4b8948dbf38d

Observation ea6a3899-0bbd-4e59-b3eb-0cd19de5c537 · outbound

This paper cites Overnight sleeping cabins.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Overnight sleeping cabins

Reference 7

Resolution
verified exact
raw_fallback, observed 2026-08-10T20:34:23.478992Z

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.

source=pdf_text observed=2026-08-10T20:34:23.273082Z digest=sha256:4011406559c180ef75b00139551f1a1b81a50381514e87be841f56a89c6d0094

Observation f7d168b8-32e0-41c5-8ae8-94a8bf83dcf6 · outbound

This paper cites Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks.

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

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:34:23.394984Z

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.

source=pdf_text observed=2026-08-10T20:34:23.277796Z digest=sha256:b17852ffe086a6e2f7477e426f93fae41bead8727a1aab6c95d9b69557308334

Observation 43b6f5f4-6976-48b3-943d-de4f4b45e326 · outbound

This paper cites Conditional Generative Adversarial Nets.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Conditional Generative Adversarial Nets

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:23.282788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.282788Z digest=sha256:b2673e9a1168b56ca208079dc4ef5d5463e7fbf52ed13febe852938028d645f7

Observation 25014150-d1c9-4fb7-b0f5-489fc6f2bd7a · outbound

This paper cites Masked autoregressive flow for density estimation.Advances in neural information processing systems, 30, 2017.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.703573Z

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.

source=pdf_text observed=2026-08-10T20:34:23.287714Z digest=sha256:3f881692b752b8297e6bf477fd58b658bf09e35e0036a81dcb3404c03ea1a915

Observation 1558cdc7-fcb1-47f6-a5b0-ac20a076147a · outbound

This paper cites Learning deep object detectors from 3d models.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Learning deep object detectors from 3d models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.688425Z

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.

source=pdf_text observed=2026-08-10T20:34:23.291993Z digest=sha256:a9b1ebfc094daf1d349e7acb4c49b5e732b952efbea84004a3752cf1441f2746

Observation 267afd8b-d521-41f2-a0f5-6442d6cdb25b · outbound

This paper cites Zero-shot text-to-image generation.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Zero-shot text-to-image generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.673045Z

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.

source=pdf_text observed=2026-08-10T20:34:23.296574Z digest=sha256:d6eefd78bf7701d448f0bbc108727a9ddfedc3fec267f58eff184514c02d14ef

Observation 2834b617-83e3-4f03-b47b-96f959a40008 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying YOLOv3: An Incremental Improvement

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:23.300844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.300844Z digest=sha256:de90d7f3141ea79562695c1f11d906a4f61d8f22d88c66e95f6c26bb8ea793f8

Observation 8915237a-6f63-4caa-b007-2873ce067799 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:23.305011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.305011Z digest=sha256:cbfe7ba23c04756392a8df870a2f3bb70640673464974a449265f32fea3af783

Observation 49bdf030-17c4-48ba-a3e9-54a35aecc34e · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.648790Z

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.

source=pdf_text observed=2026-08-10T20:34:23.309396Z digest=sha256:5c5ab85da9d01407879c0decfaceac3ad09025ab0b8918ffa9fe7362988c0d15

Observation beb2b665-0e64-495a-920e-4906e92d177f · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying Deep unsupervised learning using nonequilibrium thermodynamics

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.633160Z

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.

source=pdf_text observed=2026-08-10T20:34:23.313665Z digest=sha256:d1373021ed1e7efc990854f3f1e15a6f74982da54cf1e4f3898d34dd228c3c54

Observation a4a775c1-3b80-47c3-8ed9-e01c600456aa · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:23.317883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:23.317883Z digest=sha256:f95b9d21f6c4a5f693af4ae9577eef9aec91ae15806564c56a4ab88d3a418a63

Observation 5c2a458d-6c13-4b4e-a7df-b03fb16a4324 · outbound

This paper cites Revisiting unreasonable effectiveness of data in deep learning era.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:23.610249Z

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.

source=pdf_text observed=2026-08-10T20:34:23.322222Z digest=sha256:7c1888ae2be936c8567ea42ef3d63746fd80b85734a30b5931ab9fc0977d1969

Pith citing papers

No inbound Pith citation observations are available.