Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:16:42.754439Z
Paper Citation Record · LEDGER
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 30 inbound Pith citation observations for arXiv:2501.12375.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:42:05.975670Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:00:07.459591Z
Reference resolution
57 of 57 outbound references displayed
- verified exact1
- verified fuzzy36
- unresolved17
- parse uncertain2
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d3d3d1b4-fcd8-4d86-abbe-517b01c981b6 · outbound
This paper cites Adabins: Depth estimation using adaptive bins.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Adabins: Depth estimation using adaptive bins
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.431315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8d288226-58ad-4f9c-8d53-577ef3170211 · outbound
This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.533465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a07b5346-78f5-486d-a793-05906da5d1af · outbound
This paper cites MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.537994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e730a4f8-f9af-4623-aeb4-99bef793b4eb · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.543959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73ed30e3-30b8-434d-a4e4-1087fe3afc66 · outbound
This paper cites Butler, Jonas Wulff, Garrett B.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Butler, Jonas Wulff, Garrett B
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.417215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 891a2586-fdd2-48cb-ad07-672423e6cdab · outbound
This paper cites Virtual KITTI 2.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Virtual KITTI 2
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.552597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d476ff43-e3cd-4ef4-aa26-3cdb8ea26f61 · outbound
This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Scannet: Richly-annotated 3d reconstructions of indoor scenes
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.405049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a473dbf-e0b6-4efe-bf8e-75638e0c58b4 · outbound
This paper cites Towards real-time monocular depth estimation for robotics: A survey.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Towards real-time monocular depth estimation for robotics: A survey
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.393099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f33b360-56e9-4ce0-96f0-d9e1aa312a6f · outbound
This paper cites Depth map prediction from a single image using a multi-scale deep network.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Depth map prediction from a single image using a multi-scale deep network
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.380549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e17322c-76c3-47dd-8823-2465205f2787 · outbound
This paper cites Deep ordinal regression net- work for monocular depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Deep ordinal regression net- work for monocular depth estimation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.369581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8f8194b0-3357-4d6b-abc9-4fde44f0ec5b · outbound
This paper cites Vision meets robotics: The kitti dataset.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Vision meets robotics: The kitti dataset
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.571805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c365942c-0ca0-4132-a698-4f0abc04218b · outbound
This paper cites Fast depth densifi- cation for occlusion-aware augmented reality.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Fast depth densifi- cation for occlusion-aware augmented reality
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.340237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 827ce4a9-1f2d-4dfa-bf51-70073d971803 · outbound
This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.584184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6ba5fdb-3929-4236-8a1c-214e17adfa5a · outbound
This paper cites WildAvatar: Learning In-the-wild 3D Avatars from the Web.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos WildAvatar: Learning In-the-wild 3D Avatars from the Web
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:16:42.866440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4c6dca98-977c-4dc7-9270-4da3bf9c82af · outbound
This paper cites Dai, AndreaF.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Dai, AndreaF
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.328742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3aa68f3a-9252-48c8-9d8c-1807ff7d90fd · outbound
This paper cites Match- stereo-videos: Bidirectional alignment for consistent dynamic stereo matching.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Match- stereo-videos: Bidirectional alignment for consistent dynamic stereo matching
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.316535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7fe7c9e9-5cb5-4a60-8432-b17e8ac0fa42 · outbound
This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Repurpos- ing diffusion-based image generators for monocular depth estimation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.305974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 03b5a6b3-e8c5-4e8e-8534-9615c61ca32f · outbound
This paper cites Ro- bust consistent video depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Ro- bust consistent video depth estimation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.294969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b858364-bc81-4f36-9518-9bd20e8c8871 · outbound
This paper cites Towards practical consistent video depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Towards practical consistent video depth estimation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.283784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d9211d6b-5f7d-4b9a-a5cc-5f5aa989d081 · outbound
This paper cites Decoupled Weight Decay Regularization.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Decoupled Weight Decay Regularization
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.611804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92127fdc-d022-42f0-85bd-7b7c419d1d17 · outbound
This paper cites Consistent video depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Consistent video depth estimation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.271325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99ac958b-3d38-4b8f-a84d-1dc402ad2747 · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Indoor segmentation and support inference from rgbd images
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.259975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a445e850-e6b3-439b-830a-6c6fd9266774 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos DINOv2: Learning Robust Visual Features without Supervision
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.623301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71449da6-e297-4ea9-b218-5cfbc1b390fe · outbound
This paper cites Palazzolo, J.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Palazzolo, J
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.248793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9893152f-55c3-4f4a-90c4-bb01def1116d · outbound
This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.630740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bebba61-e9f4-4297-916e-78d524e0a0c5 · outbound
This paper cites Perazzi, J.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Perazzi, J
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.237391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed9888d5-aff9-495e-b72a-ce8745389117 · outbound
This paper cites Unidepth: Universal monocular metric depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Unidepth: Universal monocular metric depth estimation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.225757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66d3dc7d-2554-41b4-92f2-882546c95624 · outbound
This paper cites Vi- sion transformers for dense prediction.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Vi- sion transformers for dense prediction
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.212892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e83c7004-539f-4097-8aed-94aaf976a0bf · outbound
This paper cites Simplere- con: 3d reconstruction without 3d convolutions.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Simplere- con: 3d reconstruction without 3d convolutions
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.199762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5068126c-0dff-4e04-8978-2160652500da · outbound
This paper cites Structure- from-motion revisited.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Structure- from-motion revisited
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.187334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c11288d-f483-4055-a12a-d43df2fafc61 · outbound
This paper cites Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and An- dreas Geiger.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and An- dreas Geiger
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.175296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a557e620-21f8-40ef-aefb-e9015d500253 · outbound
This paper cites Learning Temporally Consistent Video Depth from Video Diffusion Priors.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Learning Temporally Consistent Video Depth from Video Diffusion Priors
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.657944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b259e54b-b159-4b3d-8ff8-976e515c0c4f · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Raft: Recurrent all-pairs field transforms for optical flow
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.162861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 30e7535f-9480-4030-9cc6-6b8d1ea83696 · outbound
This paper cites Attention is all you need.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Attention is all you need
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.665719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b52cba32-3c53-4b8b-99ea-a7988c2c7c56 · outbound
This paper cites Irs: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation, 2021.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Irs: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation, 2021
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.143347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0a6184a8-c7d4-4a1f-a762-f9185fb6fb56 · outbound
This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision, 2024.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.130365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b73f032f-3097-4878-938a-e9d93a66b986 · outbound
This paper cites Tartanair: A dataset to push the limits of visual slam.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Tartanair: A dataset to push the limits of visual slam
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.116978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98c4bc60-96d9-4570-9c12-cbc0c56bfbe5 · outbound
This paper cites Less is more: Consistent video depth estimation with masked frames modeling.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Less is more: Consistent video depth estimation with masked frames modeling
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.104835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5cffe7e7-6ace-4998-8f3e-afdda3707646 · outbound
This paper cites Neural video depth stabilizer.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Neural video depth stabilizer
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.685170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5df45105-0661-4cbe-8120-8c071d0a5eb4 · outbound
This paper cites Gmflow: Learning optical flow via global matching.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Gmflow: Learning optical flow via global matching
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.693355Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 968b365f-2842-49ff-9244-bda754e2dc54 · outbound
This paper cites Depth Any Video with Scalable Synthetic Data.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Depth Any Video with Scalable Synthetic Data
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.697279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc3685f3-a462-4440-aa17-3c573adc9a22 · outbound
This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Depth anything: Unleashing the power of large-scale unlabeled data
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.066741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0fb9ef0c-ca73-4a68-987d-0722d00d47fb · outbound
This paper cites Depth Anything V2.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Depth Anything V2
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.705513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dfc5840-6544-47cc-a7d3-cf34b5b6537e · outbound
This paper cites Mamo: Leveraging memory and attention for monocular video depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Mamo: Leveraging memory and attention for monocular video depth estimation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.055642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e32d5c73-5566-48e4-a34a-90b46ff9dfc9 · outbound
This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Metric3d: Towards zero-shot metric 3d prediction from a single image
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.044566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9b851ce3-14fd-4e44-96e3-b484dc6d2096 · outbound
This paper cites Neural window fully-connected crfs for monocu- lar depth estimation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Neural window fully-connected crfs for monocu- lar depth estimation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.033010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7c8ead4a-2144-429a-8e7a-8c6963282a0c · outbound
This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos ControlVideo: Training-free Controllable Text-to-Video Generation
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:16:42.721276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bcbb9a6-5c9b-403a-84eb-3030e2267c36 · outbound
This paper cites Consistent depth of moving objects in video.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Consistent depth of moving objects in video
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.021156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19c1d010-2365-4e36-92dd-651209660d49 · outbound
This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point tracking.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Pointodyssey: A large-scale synthetic dataset for long-term point tracking
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:43.009362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35859513-8ef7-4af7-bb33-cdcf21510635 · outbound
This paper cites In-the-wild image results.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos In-the-wild image results
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:42.997096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 87a903d2-8396-49a7-8889-81829b9655fc · outbound
This paper cites As shown in Tab.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos As shown in Tab
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:42.983233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c37abb0-cd46-4d41-aa80-28fecef0ecc6 · outbound
This paper cites We believe that with more data, the model’s performance can be further improved, and the backbone network can be unlocked for fine-tuning.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos We believe that with more data, the model’s performance can be further improved, and the backbone network can be unlocked for fine-tuning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:42.970075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9b306b64-d356-4f30-9f4b-13db9fef4c96 · outbound
This paper cites Among the four temporal layers, two are inserted after the Reassemble layers at the two smallest resolutions, and the other two are inserted before the last two Fusion layers.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Among the four temporal layers, two are inserted after the Reassemble layers at the two smallest resolutions, and the other two are inserted before the last two Fusion layers
Reference 55
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-10T17:16:42.958653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b1256bde-70cd-411d-b8fa-196442820c1d · outbound
This paper cites We use a total of five datasets for video depth evaluation: KITTI [ 11], Scannet [ 7], Bonn [24], NYUv2 [ 22], and Sintel [ 5].
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos We use a total of five datasets for video depth evaluation: KITTI [ 11], Scannet [ 7], Bonn [24], NYUv2 [ 22], and Sintel [ 5]
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:16:42.946830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c5b24286-6d96-426f-8ea3-b00c4e6add9c · outbound
This paper cites an unresolved cited work.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T17:16:42.933293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34300afb-759f-4307-b9b5-213e605a2f4d · outbound
This paper cites an unresolved cited work.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Unresolved cited work
Reference 2013
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-10T17:16:43.351728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 808c5845-7ecd-41e2-b8cf-d1e977f7524e · outbound
This paper cites an unresolved cited work.
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Unresolved cited work
Reference 2023
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-10T17:16:43.085125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 56e8e8b7-e70e-44c4-b103-8c88dfbc9e82 · inbound
DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation cites this paper.
DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:18:13.976065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a153380-aa41-472a-b42f-d93b78d6ce3f · inbound
Seeing World Dynamics in a Nutshell cites this paper.
Seeing World Dynamics in a Nutshell Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:42:05.975670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677d1a65-46d6-4a29-8c90-a851b74eb0e9 · inbound
UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation cites this paper.
UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:26:57.495990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02a6ffb5-61ac-4584-91e1-58d98f7acf98 · inbound
E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models cites this paper.
E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:36:06.197375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53500216-ec5f-460f-b62c-3f9bbeec206c · inbound
IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation cites this paper.
IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:14:43.647637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 118f8165-5b8a-471a-a0ce-a0ed023223e8 · inbound
RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation cites this paper.
RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:58:41.807576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddf523f2-5879-4fe0-9116-f32619e7454c · inbound
RoboScape: Physics-informed Embodied World Model cites this paper.
RoboScape: Physics-informed Embodied World Model Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:56:09.428813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecf4f2db-7073-4213-beb6-daefed166cac · inbound
MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion cites this paper.
MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:27:06.939745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98217f03-2f15-440f-9424-261dcd1fb3f8 · inbound
RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding cites this paper.
RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:34:05.903479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c5ea58-a021-4c05-b163-8065c0f45e55 · inbound
SpatialTrackerV2: 3D Point Tracking Made Easy cites this paper.
SpatialTrackerV2: 3D Point Tracking Made Easy Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:49:48.565573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96348a5e-db49-4c7b-86cc-e3b688b5be64 · inbound
Reconstructing 4D Spatial Intelligence: A Survey cites this paper.
Reconstructing 4D Spatial Intelligence: A Survey Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 135
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:02:29.086195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a193b00-fc7b-44d1-a0ab-53127283cb3e · inbound
ViPE: Video Pose Engine for 3D Geometric Perception cites this paper.
ViPE: Video Pose Engine for 3D Geometric Perception Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:41:08.727344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c11040f0-350d-4e24-a23f-8f6aa3498ec0 · inbound
Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation cites this paper.
Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:46:44.930591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96c1b55d-adfa-44e5-9ef0-2d72c5c1f332 · inbound
Feedback Matters: Augmenting Autonomous Dissection with Visual and Topological Feedback cites this paper.
Feedback Matters: Augmenting Autonomous Dissection with Visual and Topological Feedback Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:35:58.419641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6be966d9-301c-4180-901d-c6d8cd0236ce · inbound
CARI4D: Category Agnostic 4D Reconstruction of Human-Object Interaction cites this paper.
CARI4D: Category Agnostic 4D Reconstruction of Human-Object Interaction Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:38:37.596051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0f3cdf7-c86a-49ef-a33e-0492f7d05222 · inbound
Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation cites this paper.
Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T22:13:53.383917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f87dda88-df7c-41f9-ba6e-74ead34e61c1 · inbound
HOIGS: Human-Object Interaction Gaussian Splatting cites this paper.
HOIGS: Human-Object Interaction Gaussian Splatting Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T17:28:02.544902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2bb3e8db-2aea-477e-b6f7-934d607c3940 · inbound
From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data cites this paper.
From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:03:01.206201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fbd445bf-0125-4f54-bbcb-db9b20b08ad8 · inbound
LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation cites this paper.
LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:06:00.772158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c3a4796-b1a6-4246-94e3-9497a21452a6 · inbound
Controllable Video Object Insertion via Multiview Priors cites this paper.
Controllable Video Object Insertion via Multiview Priors Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:45:20.659728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d744e5f-9ae0-4b6c-936c-3826d068ad69 · inbound
GenMatter: Perceiving Physical Objects with Generative Matter Models cites this paper.
GenMatter: Perceiving Physical Objects with Generative Matter Models Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.256786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9a13e12-5f04-48e4-b699-7817f3f75bbd · inbound
GenMatter: Perceiving Physical Objects with Generative Matter Models cites this paper.
GenMatter: Perceiving Physical Objects with Generative Matter Models Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:00:07.462600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 86fb3299-e315-4310-b09a-74670ef9662b · inbound
WildLIFT: Lifting monocular drone video to 3D for species-agnostic wildlife monitoring cites this paper.
WildLIFT: Lifting monocular drone video to 3D for species-agnostic wildlife monitoring Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:46:40.192466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 05596cf5-ac2a-47a5-9472-5b6e82108ab7 · inbound
UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors cites this paper.
UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:26:07.902348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dd2f7c12-0bcf-428f-afbb-cffd18c90535 · inbound
UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians cites this paper.
UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:16:39.146720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation faf378b5-508b-4f61-bdbc-ef01898e89df · inbound
Stabilizing Streaming Video Geometry via Dynamic Feature Normalization cites this paper.
Stabilizing Streaming Video Geometry via Dynamic Feature Normalization Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:24:02.104002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0bbdd005-672f-4bdc-a482-a51255ba26fe · inbound
Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection cites this paper.
Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:49:58.020111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c980236-bde6-4537-a8d9-05d5838c4609 · inbound
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation cites this paper.
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T20:03:56.956882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b749165-ee2a-424f-81b7-5157dd18f758 · inbound
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras cites this paper.
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:16:27.239660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1ac38ed-ec1a-4c70-8835-a89107fa843d · inbound
UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models cites this paper.
UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:39:26.592889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.