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Paper Citation Record · LEDGER

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding

As of 18 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2512.14236.

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

pith.paper-citation-record.v1
2512.14236 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:17:22.812496Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:08:45.182462Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T07:12:28.594370Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved71
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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb105b47-2eab-4bef-bcf0-301e32303068 · outbound

This paper cites Lumiere: A space-time diffu- sion model for video generation.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Lumiere: A space-time diffu- sion model for video generation

Reference 1

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source=pdf_text observed=2026-08-03T16:17:16.439371Z digest=sha256:328396e73e78bfc3aa5ce91c8d315576d665a7f08b69eafef186b9d49b6865d0

Observation 9de5960b-d6f4-4772-a4af-7d6788364b39 · outbound

This paper cites Visual competi- tion.Nature Reviews Neuroscience, 3(1):13–21, 2002.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Visual competi- tion.Nature Reviews Neuroscience, 3(1):13–21, 2002

Reference 2

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source=pdf_text observed=2026-08-03T16:17:16.615720Z digest=sha256:915c5f3fe18447759c1c9a55d572524806f2e6a422cb38224619c2d6697ab162

Observation 64d7bba1-95eb-463a-8790-69038fee8925 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-08-03T16:17:16.732660Z digest=sha256:2abe814e3022afd9f546c6c2f2d58af77fe240c9e5599283ef123608bbf12947

Observation bb7827fe-7617-415d-880e-304b32eb99a1 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 4

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source=pdf_text observed=2026-08-03T16:17:16.862067Z digest=sha256:6d43f47d7c7ac8064a852b0beb74d7e536e592bd597354ab041f69a08adc5002

Observation 27c2547d-01a7-452c-b269-1d020cbcf58d · outbound

This paper cites B Breese.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding B Breese

Reference 5

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source=pdf_text observed=2026-08-03T16:17:16.977305Z digest=sha256:da2fd42c21099b20923bd149e60fbee550b5dd1791a4fae9ae139be1494bff77

Observation 22578f75-77a6-4466-84fe-37e8fef5ab7e · outbound

This paper cites Com- parison of three different methods to merge multiresolution and multispectral data- landsat TM and SPOT panchromatic.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Com- parison of three different methods to merge multiresolution and multispectral data- landsat TM and SPOT panchromatic

Reference 6

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source=pdf_text observed=2026-08-03T16:17:17.039606Z digest=sha256:04dea562e45ae0df6ac24198d5ab9aa426a5e5711b519a4f9274affe28a4dde5

Observation 63a01113-d59d-4fdb-a851-754f0ca52196 · outbound

This paper cites SVG: 3d stereoscopic video generation via denoising frame matrix.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding SVG: 3d stereoscopic video generation via denoising frame matrix

Reference 7

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source=pdf_text observed=2026-08-03T16:17:17.096210Z digest=sha256:fa4c979809d9bbe1c0b16cd9c7b0ea0bf5c97602463cfb6c172823bcd8905d96

Observation 715c9acb-3416-4023-9865-25f81d48c93d · outbound

This paper cites Guided super-resolution as pixel-to-pixel transformation.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Guided super-resolution as pixel-to-pixel transformation

Reference 8

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source=pdf_text observed=2026-08-03T16:17:17.156838Z digest=sha256:9e8967069cb7a666df035635b4cf8d2bb9ac55c54091a8970e941d34530ce880

Observation 5c0521e4-5000-4451-9731-87e617e9fe6d · outbound

This paper cites DeDoDe v2: Analyzing and improving the DeDoDe keypoint detec- tor.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding DeDoDe v2: Analyzing and improving the DeDoDe keypoint detec- tor

Reference 9

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source=pdf_text observed=2026-08-03T16:17:17.235419Z digest=sha256:a44507fab0d43ed8eae53751f747b1fad6f580b9da50a43036a24ba6c73e1ba4

Observation fd377fc3-9c68-4e9d-8646-453a9479a3c6 · outbound

This paper cites Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D- TV.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D- TV

Reference 10

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source=pdf_text observed=2026-08-03T16:17:17.289927Z digest=sha256:f1273c2f0f7b08dbf1d342ba415b2d835ca9cef601c710ec7f9d1c26fd4a4e4f

Observation 76716a05-873f-44a2-8474-2b31d118f3a3 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 11

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source=pdf_text observed=2026-08-03T16:17:17.352134Z digest=sha256:8082d353d9f8979476186b25d4a02e3c5833a72f2bfe184269de5f495aa5be9c

Observation ed9bf1f9-293f-4996-be1e-df878d5cf4ce · outbound

This paper cites Fine-tuning image-conditional diffusion models is easier than you think.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Fine-tuning image-conditional diffusion models is easier than you think

Reference 12

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source=pdf_text observed=2026-08-03T16:17:17.434590Z digest=sha256:4b6d82127a752c5e594da54235339540964bcb5825622fffb22011c58286b1f0

Observation 85292eb6-2fc4-4899-9a7c-ad44c0e93fd5 · outbound

This paper cites Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis

Reference 13

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source=pdf_text observed=2026-08-03T16:17:17.483150Z digest=sha256:48340b1ba4d226cf106ab3af3d83dcd34294cab84cbc9a70c0003bd578909fab

Observation 80a7ded6-5235-4fc6-ab7a-5d05d461ff80 · outbound

This paper cites Ego4D: Around the world in 3,000 hours of egocentric video.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Ego4D: Around the world in 3,000 hours of egocentric video

Reference 14

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source=pdf_text observed=2026-08-03T16:17:17.544576Z digest=sha256:4bf8dcf17a9825f99f3000fb3a300b99a5b5c8f40ab55475aafa077052b34644

Observation 5265fad0-b443-4101-9736-d07a23fae3fc · outbound

This paper cites Epipolar transformers.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Epipolar transformers

Reference 15

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source=pdf_text observed=2026-08-03T16:17:17.613919Z digest=sha256:aa992cca4b44699714676af3ac606546ab22ca647949f8f1e4d4339d77be1454

Observation 1aeb6f08-af3b-4119-b3b6-6016806a7f20 · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems (NeurIPS), 2020.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems (NeurIPS), 2020

Reference 16

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source=pdf_text observed=2026-08-03T16:17:17.729321Z digest=sha256:2d4d8e490744cb8a3815e7cc369fab0a7093b51456529675c2d8e9824c478e72

Observation 8516e5fc-1ae8-4654-bc43-43c6a328df9f · outbound

This paper cites Video dif- fusion models.Advances in Neural Information Processing Systems (NeurIPS), 2022.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Video dif- fusion models.Advances in Neural Information Processing Systems (NeurIPS), 2022

Reference 17

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source=pdf_text observed=2026-08-03T16:17:17.855561Z digest=sha256:fc896c88de6d9cec1102a5bd0267c941443f266ee296e5952d0979c76699aa53

Observation fe651e3e-49e6-4778-9bbf-9d7d41c194ec · outbound

This paper cites DepthCrafter: Generating consistent long depth sequences for open-world videos.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding DepthCrafter: Generating consistent long depth sequences for open-world videos

Reference 18

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source=pdf_text observed=2026-08-03T16:17:17.980816Z digest=sha256:88c0a87bf5d98141423a086f74b6c21074cd7fcbe6ec51ccc8156281f6b794b1

Observation 545aadc6-9c74-4981-a4ba-32fbf5e2eeeb · outbound

This paper cites Restereo: Diffusion stereo video generation and restoration.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Restereo: Diffusion stereo video generation and restoration

Reference 19

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source=pdf_text observed=2026-08-03T16:17:18.025399Z digest=sha256:08a3e6518cc14d91498bc183f1d2a317ff4745d78311bd27f3e3ff46b7f7ff4a

Observation 97e97984-bf2c-41a1-a342-fdefa4dddaf5 · outbound

This paper cites EpiDiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding EpiDiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion

Reference 20

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source=pdf_text observed=2026-08-03T16:17:18.082930Z digest=sha256:527a04dc4ccec6fef4e58e14817f700b03eabefc36d8d31b18a8d6c6eaa97be5

Observation 83bcd1a3-ccc8-490e-8e1e-483cb0dec240 · outbound

This paper cites Depth map super-resolution by deep multi-scale guidance.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Depth map super-resolution by deep multi-scale guidance

Reference 21

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source=pdf_text observed=2026-08-03T16:17:18.145435Z digest=sha256:745448889937431d2fd30284489d5407875b5e5ff4fbc01d72ade445899df00b

Observation ac264673-e5df-4f7a-8967-585be8ff6478 · outbound

This paper cites Izadimehr, Milad Ghanbari, Guodong Chen, Wei Zhou, Xiaoshuai Hao, Mallesham Dasari, Christian Tim- merer, and Hadi Amirpour.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Izadimehr, Milad Ghanbari, Guodong Chen, Wei Zhou, Xiaoshuai Hao, Mallesham Dasari, Christian Tim- merer, and Hadi Amirpour

Reference 22

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source=pdf_text observed=2026-08-03T16:17:18.195255Z digest=sha256:196ef1b2c95a43be8feaffe28c90969b33ae7d874300d0c445c2728b5da0a82b

Observation c272b1aa-d3e3-416f-8056-dd25c687a6f4 · outbound

This paper cites Stereo4D: Learning how things move in 3d from internet stereo videos.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Stereo4D: Learning how things move in 3d from internet stereo videos

Reference 23

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source=pdf_text observed=2026-08-03T16:17:18.280775Z digest=sha256:e65c94dd462edd904943784375d0401a949fc518804201a0f924d6308972c7ad

Observation 264e5009-a95f-4701-b00e-e0b41567d49d · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 24

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source=pdf_text observed=2026-08-03T16:17:18.385089Z digest=sha256:763d679f6d02e0e12cedad3ee3d9d5199ada78abc269726eae586b44c042e63f

Observation 98b6a010-1dc2-4e80-a420-644273ac2e73 · outbound

This paper cites Marigold: Affordable adaptation of diffusion- based image generators for image analysis.IEEE Transac- tions on Pattern Analysis and Machine Intelligence (TPAMI),.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Marigold: Affordable adaptation of diffusion- based image generators for image analysis.IEEE Transac- tions on Pattern Analysis and Machine Intelligence (TPAMI),

Reference 25

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source=pdf_text observed=2026-08-03T16:17:18.520057Z digest=sha256:397d5e4995a15f8f9d3529fb94dafef73618268d7750c5d6203ac01bfec1fea3

Observation 5decf424-6de9-4acb-b711-95204ee03c07 · outbound

This paper cites Auto-encoding varia- tional bayes.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Auto-encoding varia- tional bayes

Reference 26

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source=pdf_text observed=2026-08-03T16:17:18.618519Z digest=sha256:782626084fc1f046f02ea892401bb171691c8210e1d9d3553e4952cd1fd8a98c

Observation e2d4b83c-68e5-43dc-a691-7cb95470fa90 · outbound

This paper cites 2d-to- 3d image conversion by learning depth from examples.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding 2d-to- 3d image conversion by learning depth from examples

Reference 27

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source=pdf_text observed=2026-08-03T16:17:18.680289Z digest=sha256:16ec783cf15a4d98324375d0702ab91b430bd8e67964544fbfb84f975ea62978

Observation ff646d38-18f3-49b9-8ce8-f758d6ac9721 · outbound

This paper cites Visual discomfort of 3D TV: Assessment methods and modeling.Displays, 32(4):209–218, 2011.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Visual discomfort of 3D TV: Assessment methods and modeling.Displays, 32(4):209–218, 2011

Reference 28

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source=pdf_text observed=2026-08-03T16:17:18.721481Z digest=sha256:559587d760c6e8170d807d854a82d3f29d17282b2fcccec0a23301dbe764549d

Observation 21293917-b73e-4148-816d-29f345a35777 · outbound

This paper cites Stereo conversion with disparity-aware warping, compositing and inpainting.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Stereo conversion with disparity-aware warping, compositing and inpainting

Reference 29

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source=pdf_text observed=2026-08-03T16:17:18.777527Z digest=sha256:e5d98e7439ee792b8b2f78c1ef7a04f5314d1877948215b1279888dcec674045

Observation eea3cf55-b37b-4b1d-8ed1-f348cc15d61b · outbound

This paper cites Guided depth super-resolution by deep anisotropic diffusion.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Guided depth super-resolution by deep anisotropic diffusion

Reference 30

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source=pdf_text observed=2026-08-03T16:17:18.875791Z digest=sha256:38f365031fb55c8b76c514e60cc31b4c1b7a5369e9f3d4d5634df6b6c5f9dbd9

Observation 5bb9b3bc-9ee4-4e82-aa5f-6d625a5ecd45 · outbound

This paper cites T2I-Adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding T2I-Adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models

Reference 31

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source=pdf_text observed=2026-08-03T16:17:18.921447Z digest=sha256:b48a582708665944e2d41f355a81744c07e8b092e92e436e696afa3c4ec51a3f

Observation cf6e3b79-a451-4ed3-ac7a-2d3678a067df · outbound

This paper cites One-Step Image Translation with Text-to-Image Models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding One-Step Image Translation with Text-to-Image Models

Reference 32

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source=pdf_text observed=2026-08-03T16:17:18.981689Z digest=sha256:57ec31b5d07415ccc7e6934f86b2c31b43492889353fdd111f28569d67831724

Observation ffb52d61-afd4-48aa-ade2-37ea4284daa8 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding UniDepth: Universal monocular metric depth estimation

Reference 33

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source=pdf_text observed=2026-08-03T16:17:19.102838Z digest=sha256:6789cdb8ee3b654238dd3ca2fedb2fd2144de13fb5209e65ad767ca816ec8ef6

Observation 369c62d2-d942-4359-9f13-a40b07600a1a · outbound

This paper cites UniDepthV2: Universal monocular metric depth estimation made simpler.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding UniDepthV2: Universal monocular metric depth estimation made simpler.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

Reference 34

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source=pdf_text observed=2026-08-03T16:17:19.203167Z digest=sha256:bf000650612003d23f5a2ca0de7d3f501cca9eb12dc0c15b64c1da69b02efc55

Observation a56806fa-c9be-4e29-9863-6117697a4fd2 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 35

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source=pdf_text observed=2026-08-03T16:17:19.370533Z digest=sha256:3839967a362c3ae3a6293aa9c84e76ee866e01ede6ac9bea66a60d2e1ac5c424

Observation fba05a65-315a-4acd-abe7-7bd3f8c59566 · outbound

This paper cites Towards open-world generation of stereo images and unsu- pervised matching.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Towards open-world generation of stereo images and unsu- pervised matching

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source=pdf_text observed=2026-08-03T16:17:19.489226Z digest=sha256:b109281475b73f7963820f0deafac7b003be5ee312bc8e6cca80c3b25717d9d3

Observation e3f4e072-d9f0-48a1-af8a-1d233016c091 · outbound

This paper cites an unresolved cited work.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Unresolved cited work

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source=pdf_text observed=2026-08-03T16:17:19.638176Z digest=sha256:0256959f86729f575d6bae8b2d2307fad76ce79f9c8382e1b4668364adc487ff

Observation d0158fe6-44e4-4348-87aa-7a6d722d5dc0 · outbound

This paper cites Vi- sion transformers for dense prediction.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Vi- sion transformers for dense prediction

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source=pdf_text observed=2026-08-03T16:17:19.781189Z digest=sha256:c1b3421cfe135c8af7a3ccca07150ba75d29e9702d65dd52ffaef150ba3d2ed8

Observation bfc62aef-377d-4782-b387-c18234d3d472 · outbound

This paper cites Deepspeed: System optimizations enable train- ing deep learning models with over 100 billion parameters.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Deepspeed: System optimizations enable train- ing deep learning models with over 100 billion parameters

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source=pdf_text observed=2026-08-03T16:17:19.882926Z digest=sha256:5bb51f2392cc4e4085c4822ffd8551b76fda4367a92a37eeef02e931cbef58be

Observation 58764ac7-68fa-40f4-8a3c-a41cf18534bf · outbound

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

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding High-resolution image syn- thesis with latent diffusion models

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source=pdf_text observed=2026-08-03T16:17:20.040636Z digest=sha256:69be6d691a2080c6f3cceab5be47574ef77e6a294a228e8aa250f9c0fdb6caaa

Observation df18b10d-d3c3-46cc-8b22-b4029653fb87 · outbound

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

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding U- net: Convolutional networks for biomedical image segmen- tation

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source=pdf_text observed=2026-08-03T16:17:20.156400Z digest=sha256:bc10c90582d47d622355972fca5e6543ebc57514993663cdc63124e54d8dffb0

Observation 8f3e2434-1158-41bc-a092-8668ccff5363 · outbound

This paper cites DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation

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source=pdf_text observed=2026-08-03T16:17:20.288634Z digest=sha256:df985f8f63d3ef8814564f530e78f837ab13339f99ca00e0f05fe000f3f21f74

Observation 4872ced9-7dda-4f3d-b5a1-5f37293b0f10 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems (NeurIPS), 2022.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems (NeurIPS), 2022

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source=pdf_text observed=2026-08-03T16:17:20.402035Z digest=sha256:539010a458feeda991fe3cf731c278543a886b1049c9b27b01178257db7d398e

Observation 9616e8af-bb73-4241-9021-096b29e1b7fc · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Progressive Distillation for Fast Sampling of Diffusion Models

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source=pdf_text observed=2026-08-03T16:17:20.492533Z digest=sha256:b0c4838d54c1ab5b390afd0ab8e9c34ff469c2a9ecb3368d040c02da64c2a346

Observation f43af82c-1fab-4566-9ce7-8279eb05e667 · outbound

This paper cites an unresolved cited work.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Unresolved cited work

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source=pdf_text observed=2026-08-03T16:17:20.625594Z digest=sha256:8d0e4f09a14ebeca70cccc21af5cbdf0290a06bc7e1abc55a76152f65e8d5a78

Observation e9b3406e-e981-4957-a9ad-e031c62c3ee4 · outbound

This paper cites ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning

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source=pdf_text observed=2026-08-03T16:17:20.743644Z digest=sha256:e3ed85679ecaacbbb8beaa3fd15d3349fb8da327fcd6cf07429f9705368f8881

Observation 49522e4b-68b9-4045-a981-6ff3d7f24ff0 · outbound

This paper cites The zone of comfort: Predicting visual discom- fort with stereo displays.Journal of Vision, 11(8):11–11,.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding The zone of comfort: Predicting visual discom- fort with stereo displays.Journal of Vision, 11(8):11–11,

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source=pdf_text observed=2026-08-03T16:17:20.899955Z digest=sha256:11cb199f9b39aef85699c3a5e6560a1ca34c51c43a5c90757a1530d50ea8fbd1

Observation daf509b1-6855-4c01-84ff-2a1096f0e98e · outbound

This paper cites 3d photography using context-aware layered depth inpainting.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding 3d photography using context-aware layered depth inpainting

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no resolver link, observed 2026-08-03T16:17:21.022301Z

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source=pdf_text observed=2026-08-03T16:17:21.022301Z digest=sha256:b751b2b10b4140b7a2280a2d8229ba0d62ac1ddbac915736ebd2679b66575f0f

Observation eb478846-6220-4e52-bd89-b8578c580c4b · outbound

This paper cites 3d scene reconstruction with multi-layer depth and epipolar transformers.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding 3d scene reconstruction with multi-layer depth and epipolar transformers

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source=pdf_text observed=2026-08-03T16:17:21.104389Z digest=sha256:440a609a0cd02316e52809a067589e2cac4fc41f1bd3af340053cd6166363bcc

Observation 6c4a5eef-d5bf-43a2-9bbd-9b7372358f29 · outbound

This paper cites M2SVid: End-to-end inpainting and refinement for monocular-to-stereo video conversion.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding M2SVid: End-to-end inpainting and refinement for monocular-to-stereo video conversion

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source=pdf_text observed=2026-08-03T16:17:21.187915Z digest=sha256:84fd0c4ac2b785afb59ebe8dadd0d3a8e0716e576a2b98d2ce634cb36175fea5

Observation 3a42ac71-0164-4924-982d-d7cc0729996d · outbound

This paper cites Denois- ing diffusion implicit models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Denois- ing diffusion implicit models

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source=pdf_text observed=2026-08-03T16:17:21.254224Z digest=sha256:4ecc047f6553fb97c49278f2ccec803efba3ceb7dc2ab45bd0aa750dab1708fa

Observation e6758838-c576-4e0c-9194-8c194c0a9a17 · outbound

This paper cites What makes for a good stereoscopic image? InIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding What makes for a good stereoscopic image? InIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

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source=pdf_text observed=2026-08-03T16:17:21.302662Z digest=sha256:55f4e2011a2505627607b126cb9268063b3df7cee6740724082fbfd45e2186dd

Observation d23272c3-8560-4092-8f13-ef968167f78e · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding RAFT: Recurrent all-pairs field transforms for optical flow

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no resolver link, observed 2026-08-03T16:17:21.345149Z

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source=pdf_text observed=2026-08-03T16:17:21.345149Z digest=sha256:2c614a2e02943fbecc59a94691b2e9b49030b3373d6a537176daa47d4e26abd5

Observation c3dba04f-9d6b-40fc-9559-92b81080a2f5 · outbound

This paper cites Methods for reducing vi- sual discomfort in stereoscopic 3d: A review.Signal Pro- cessing: Image Communication, 47:402–416, 2016.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Methods for reducing vi- sual discomfort in stereoscopic 3d: A review.Signal Pro- cessing: Image Communication, 47:402–416, 2016

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source=pdf_text observed=2026-08-03T16:17:21.401631Z digest=sha256:7d5ae1015e5f51f91f910940596439f1306ff325d34ad6fcde2781c6d4f80a7a

Observation decd62c9-c304-4325-b7cf-9b6450e3dc74 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Attention is all you need.Advances in neural information processing systems, 30, 2017

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source=pdf_text observed=2026-08-03T16:17:21.445233Z digest=sha256:919a2e4f1f8a36293759b3e9ed73e2e5a855b27e6aadd8083c3954f26a57ae70

Observation 777e4ccb-0d96-49ce-8897-09262e2155de · outbound

This paper cites A critical comparison of pansharpening algorithms.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding A critical comparison of pansharpening algorithms

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source=pdf_text observed=2026-08-03T16:17:21.505770Z digest=sha256:f871812eb9d8fcbbcdddf40d8aadfd237b7e0aea2a5c2222d569dc7d44430a85

Observation 164fe27f-0991-4b3b-817a-c3ed841f13a7 · outbound

This paper cites StereoDiffusion: Training- free stereo image generation using latent diffusion models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding StereoDiffusion: Training- free stereo image generation using latent diffusion models

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source=pdf_text observed=2026-08-03T16:17:21.557573Z digest=sha256:f4e8605f0816706bdae706472b4578277d517247c216e23f5ef00e234860f70d

Observation f7bafa51-59a2-4781-8760-37d90236e552 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE Transactions on Image Process- ing (TIP), 13(4):600–612, 2004.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Image quality assessment: from error visibility to structural similarity.IEEE Transactions on Image Process- ing (TIP), 13(4):600–612, 2004

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source=pdf_text observed=2026-08-03T16:17:21.600336Z digest=sha256:135573a9f79ff6051dd42850735b57bb96af152ef140eb5e72a7f9e26019536f

Observation bcc1a5e3-8649-47a1-9e44-4f174577b856 · outbound

This paper cites Learning stereo from single images.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Learning stereo from single images

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source=pdf_text observed=2026-08-03T16:17:21.674503Z digest=sha256:11c1b8a4713d3cc8502a049fce7e572d37110c00bb0a25aa3d7db245ebd1a67d

Observation 0351be57-a972-49ab-95be-82fe8f46ff48 · outbound

This paper cites FoundationStereo: Zero- shot stereo matching.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding FoundationStereo: Zero- shot stereo matching.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

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source=pdf_text observed=2026-08-03T16:17:21.753953Z digest=sha256:eb8bcae28f420316e5bca269e02a327e656081464bfb84572a903b90fd7c4b3f

Observation ad412d91-5ae7-4c32-a02b-dc277ff305bc · outbound

This paper cites Direct and explicit 3d generation from a single image.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Direct and explicit 3d generation from a single image

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source=pdf_text observed=2026-08-03T16:17:21.812226Z digest=sha256:7a9aca84245a96a4e24bf87aed392638d92308a0a1701e070b1cfe841f2eb3fd

Observation 1f07206d-c6ca-412e-bb65-05986118f0d0 · outbound

This paper cites Deep3d: Fully automatic 2d-to-3d video conversion with deep convo- lutional neural networks.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Deep3d: Fully automatic 2d-to-3d video conversion with deep convo- lutional neural networks

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source=pdf_text observed=2026-08-03T16:17:21.877808Z digest=sha256:fe58756020e577e5457dbac64a6322f5ad61dd891eae15a936a4437fde2f79da

Observation e1991907-c162-4e55-9325-0d9c3bd89d4d · outbound

This paper cites Depth Anything: Unleash- ing the power of large-scale unlabeled data.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Depth Anything: Unleash- ing the power of large-scale unlabeled data

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source=pdf_text observed=2026-08-03T16:17:21.944668Z digest=sha256:3da434c94dab827c7e9b769535ba991c4e6dceaff8fca17375c5316852e0ba80

Observation 774a2661-b88d-44fe-b279-aa5d2f36989c · outbound

This paper cites Any-to-Bokeh: One-step video bokeh via multi-plane image guided diffu- sion.preprint arXiv:2505.21593, 2025.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Any-to-Bokeh: One-step video bokeh via multi-plane image guided diffu- sion.preprint arXiv:2505.21593, 2025

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source=pdf_text observed=2026-08-03T16:17:22.010226Z digest=sha256:debefe5ba9daa79544fb007352fa566e03a31373f60e518e344ad0f0bafdcd47

Observation f9d5c04b-9409-4e68-be88-1565d8ede969 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

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source=pdf_text observed=2026-08-03T16:17:22.040754Z digest=sha256:8a06cb3da87d636dece11aa901241e42ff344b9cbfb8960f92a7dfadd6868889

Observation 748e6041-8091-48f9-a1f8-2a4b63cb187e · outbound

This paper cites Tra- jectoryCrafter: Redirecting camera trajectory for monocu- lar videos via diffusion models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Tra- jectoryCrafter: Redirecting camera trajectory for monocu- lar videos via diffusion models

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source=pdf_text observed=2026-08-03T16:17:22.223310Z digest=sha256:dd0db37ed7680546e51d3f04e2168aaac2ae979dc8485cadaa3beb3d4c094e51

Observation d691b288-f894-431c-ade5-7e1a256d8bb7 · outbound

This paper cites 3D- TV content creation: automatic 2D-to-3D video conversion.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding 3D- TV content creation: automatic 2D-to-3D video conversion

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source=pdf_text observed=2026-08-03T16:17:22.396310Z digest=sha256:1f1f50e1d52bf557fdb891bc49ec875906c15caf6d7ab9cad4ec6c42db04a7ad

Observation f2746c32-1449-4214-a65e-56a88f20c262 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Adding conditional control to text-to-image diffusion models

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no resolver link, observed 2026-08-03T16:17:22.498369Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T16:17:22.498369Z digest=sha256:9d3fa4491d968dbf61518fa94de29b2c4b5039cc267c61316ca3f3c89afe1a7e

Observation 9a13271e-0101-40d7-9b84-99a452177b30 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding The unreasonable effectiveness of deep features as a perceptual metric

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source=pdf_text observed=2026-08-03T16:17:22.563931Z digest=sha256:2f3c26833fec91996370a84f4b4d132831508367c99bc75cb530a0bdeb24dd75

Observation 8cf45379-e625-4702-b1aa-0c22bd6a7c12 · outbound

This paper cites High-fidelity novel view synthesis via splatting-guided diffusion.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding High-fidelity novel view synthesis via splatting-guided diffusion

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:17:22.696121Z digest=sha256:e4a969ddf455d5b2b6b3de2262b6bcb8f0ce1939d389b1066dfd75c683a6996c

Observation a4294b81-58e9-4cdd-901f-ed47092f0ea4 · outbound

This paper cites StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:17:22.757515Z digest=sha256:bea1b9ce172720e1df94f3f8f0ac54b47170f70217dd654830c4943ba0d472fe

Observation 854498bb-c204-4bb2-8fd3-b266eb11a273 · outbound

This paper cites Perceptual Visual Quality Assessment: Principles, Methods, and Future Directions.

Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding Perceptual Visual Quality Assessment: Principles, Methods, and Future Directions

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no resolver link, observed 2026-08-03T16:17:22.812496Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T16:17:22.812496Z digest=sha256:fa9888f7c263925a331bb4d7ab532afd1ac965658b05a20cc454fbd1bed9827c

Pith citing papers

Observation c7595fbe-6a83-4dab-a7a5-762414a21190 · inbound

UniFixer: A Universal Reference-Guided Fixer for Diffusion-Based View Synthesis cites this paper.

UniFixer: A Universal Reference-Guided Fixer for Diffusion-Based View Synthesis Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding

Reference 33

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arxiv_id, observed 2026-07-10T02:19:33.992432Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T07:08:45.182462Z digest=sha256:4c87089fa820ba4eb29eaa757234feaa1d48658310365c6a12a687487306bb02