Paper Citation Record · LEDGER

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2502.01666.

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

pith.paper-citation-record.v1
2502.01666 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:59:24.341963Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 3ac27d3a-799d-4951-835f-77b9db0ec76a · outbound

This paper cites Enhanced Computer Vision With Microsoft Kinect Sensor: A Review,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Enhanced Computer Vision With Microsoft Kinect Sensor: A Review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.875914Z

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Observation cf4012a6-f231-4b83-928f-6abc6cbfbd9a · outbound

This paper cites Deep Learning for Monocular Depth Estimation: A Review,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Deep Learning for Monocular Depth Estimation: A Review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.861748Z

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Observation 77674d05-17fc-4f65-af1a-b6e9c7b3a3dd · outbound

This paper cites Monocular depth prediction using generative adversarial networks.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Monocular depth prediction using generative adversarial networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.847209Z

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Observation 5d533828-ef4a-44de-98c4-1fac3219ad17 · outbound

This paper cites Depth Map Prediction from a Single Image Using a Multi-Scale Deep Network,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Depth Map Prediction from a Single Image Using a Multi-Scale Deep Network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.832931Z

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Observation 9174461a-3d48-4ccc-84ba-f74607d329a6 · outbound

This paper cites Depth Prediction from a Single Image with Conditional Adversarial Networks,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Depth Prediction from a Single Image with Conditional Adversarial Networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.818250Z

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Observation 82a5dd4e-1bbd-4a79-99b0-edd96c702867 · outbound

This paper cites Improved Techniques for Training GANs,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Improved Techniques for Training GANs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.802789Z

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Observation bfde2bfe-b855-428e-8161-ea7b02bc471d · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Diffusion Models Beat GANs on Image Synthesis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.788812Z

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Observation c5f6e2b0-8e5c-4e67-a6be-9e5bb73b2e68 · outbound

This paper cites Monocular Depth Estimation using Diffusion Models.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Monocular Depth Estimation using Diffusion Models

Reference 8

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Observation b82495cf-607d-4a69-899e-a10212453b4e · outbound

This paper cites ECoDepth: Effective Condi- tioning of Diffusion Models for Monocular Depth Estimation,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding ECoDepth: Effective Condi- tioning of Diffusion Models for Monocular Depth Estimation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.774271Z

Source-reported events for the cited work

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Observation 4c6581ba-72b5-4c8d-bb0f-43aa76a17b5f · outbound

This paper cites Denoising Diffusion Probabilistic Models,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Denoising Diffusion Probabilistic Models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.759635Z

Source-reported events for the cited work

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Observation 368cbe0f-5a27-4fa1-b00c-157b58b78ffd · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.744925Z

Source-reported events for the cited work

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Observation dcc01a49-9459-4811-ba30-132f1f3ac2f6 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Unleashing text-to-image diffusion models for visual perception

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.729840Z

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Observation 4bc38951-c1e0-4680-9908-228f2ee9fe7e · outbound

This paper cites Learning transferable visual models from natural language supervision.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Learning transferable visual models from natural language supervision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.714940Z

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Observation de318bc3-8436-4f5b-93ab-342ed2169a63 · outbound

This paper cites Prompt- free diffusion: Taking.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Prompt- free diffusion: Taking

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.699799Z

Source-reported events for the cited work

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Observation aa9451b4-4bb2-49f1-8bf9-a74c0822b59c · outbound

This paper cites Vision Meets Robotics: The KITTI Dataset,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Vision Meets Robotics: The KITTI Dataset,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.685188Z

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Observation d3b3a1da-da8a-45f6-8769-e76a10640cc5 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Scalability in perception for autonomous driving: Waymo open dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.670403Z

Source-reported events for the cited work

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Observation 5d9a0f3b-1228-4c5f-b397-b18c1aef67e4 · outbound

This paper cites Digging into Self-Supervised Monocular Depth Prediction,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Digging into Self-Supervised Monocular Depth Prediction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.655082Z

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Observation 59b0b686-5a2f-47be-8662-767b065c0f3b · outbound

This paper cites Generative Adversarial Nets,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Generative Adversarial Nets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.640835Z

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Observation 9ca4b530-5e6f-4aca-9c38-1e3db601a715 · outbound

This paper cites Wasserstein GAN.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Wasserstein GAN

Reference 19

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Observation cd7a85ba-daf9-4eb7-a934-9664f6420de2 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Large Scale GAN Training for High Fidelity Natural Image Synthesis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.626759Z

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Observation a4321294-c05c-4cc4-8918-7babf0f5f2ba · outbound

This paper cites Alias-Free Generative Adversarial Networks,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Alias-Free Generative Adversarial Networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.612367Z

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Observation 2b7fb163-4d77-4acd-94cc-4a53cac72f57 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.595929Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06087712-ef29-42cb-ae62-bf541bfe45bd · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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Observation 093b8edf-99f5-4578-9551-4f9b90ef62e1 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 24

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Source-reported events for the cited work

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Observation 42737385-bfbb-4bb2-81df-24eafba7dde7 · outbound

This paper cites Coyo-700m: Image-text Pair Dataset,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Coyo-700m: Image-text Pair Dataset,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.581397Z

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Observation 5ab62a16-326d-46d3-b192-0664d5c20271 · outbound

This paper cites CBAM: Convolutional Block Attention Module,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding CBAM: Convolutional Block Attention Module,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.566563Z

Source-reported events for the cited work

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Observation 26f67a44-f05d-4b1b-8771-fa6dedb4a7b2 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Multi-Scale Context Aggregation by Dilated Convolutions,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.551360Z

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Observation a4e407be-b60f-4f56-bb0c-0d6a4cc830a2 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.535386Z

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Observation 269da017-59fd-4cd8-98b9-cb1fe61a4b9a · outbound

This paper cites Attention is All You Need,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Attention is All You Need,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.518508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e1640406-1414-4221-84e7-81e399dd2426 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding PyTorch: An Imperative Style, High-Performance Deep Learning Library,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.503238Z

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Observation cfeb1638-f1b0-4b59-9e98-63bee5048ac9 · outbound

This paper cites Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.487647Z

Source-reported events for the cited work

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Observation 269c3377-9acc-46a6-8f4b-4d2c61bc533e · outbound

This paper cites AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets,.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.471951Z

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Observation 6203cb4d-f3b1-4370-a5f5-e508641a2de6 · outbound

This paper cites Vision transformers for dense prediction.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding Vision transformers for dense prediction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:59:24.456664Z

Source-reported events for the cited work

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Observation 408685cd-a326-44b1-bff1-582255514e63 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 34

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.