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Paper Citation Record · LEDGER

DeepV2D: Video to Depth with Differentiable Structure from Motion

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1812.04605.

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

pith.paper-citation-record.v1
1812.04605 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:56:49.614064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:55:48.212630Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a74777d4-0eda-45c2-990d-26f50b8babfa · inbound

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion cites this paper.

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 148

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T14:41:13.190089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T14:41:13.120099Z digest=sha256:4f4f973020e5a654621904426d2e9cb9569758352cf43d323f6a59c3a4fe5de7

Observation e8fdd967-e0bc-4699-8187-2c88d5cdb828 · inbound

Matrix3D: Large Photogrammetry Model All-in-One cites this paper.

Matrix3D: Large Photogrammetry Model All-in-One DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-08T11:56:49.614064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:56:49.614064Z digest=sha256:6375c4323d7858cdb6d89494b745d8ac2dce3d4464f585fb6705c3eb8e97d325

Observation 90ad3b9c-7eaf-4622-8d90-c618e71ba096 · inbound

UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting cites this paper.

UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:15.767680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:15.767680Z digest=sha256:4d26b47d0d74a2506ff000fe21166e31109a2673a2ab34a047b16be88bcfc837

Observation ba02c823-0148-4038-b47a-6c42f662e34a · inbound

Test3R: Learning to Reconstruct 3D at Test Time cites this paper.

Test3R: Learning to Reconstruct 3D at Test Time DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:08.399100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:08.399100Z digest=sha256:6b3c2f02b791fe7e6f01c4740e041b289b78ccedb549ef93f285f9a6aae96da3

Observation c3239d00-16ea-4997-909e-e2b2bc3a112a · inbound

VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences cites this paper.

VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-17T08:55:00.569939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T08:55:00.494249Z digest=sha256:781ce37c5fd78b8d21608ef81ddb4a1d42020822dca1374acaa180f7db822272

Observation a3245a00-2473-4f75-933d-a41aa87ebc4c · inbound

Reconstructing 4D Spatial Intelligence: A Survey cites this paper.

Reconstructing 4D Spatial Intelligence: A Survey DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-06T13:02:29.430240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:29.430240Z digest=sha256:6308e12c22e8d3951f5adb9299afed6f84b9e0de9826e44a3b96f409a67ab77e

Observation 4b35b1d8-30b4-4af9-82a9-3caea8ae2f62 · inbound

HAMSt3R: Human-Aware Multi-view Stereo 3D Reconstruction cites this paper.

HAMSt3R: Human-Aware Multi-view Stereo 3D Reconstruction DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T17:22:49.851964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:22:49.851964Z digest=sha256:9c0a74b05101a98906499f61834c07ee683b202c93ec9759c8d4692ee8fc1396

Observation c9919501-bac5-4b89-841b-9b6ec5d76640 · inbound

Depth Anything 3: Recovering the Visual Space from Any Views cites this paper.

Depth Anything 3: Recovering the Visual Space from Any Views DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:07:59.213225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:07:59.160853Z digest=sha256:093b2ce475d5e49ca66aaac4a62cced49890add302b4e73a0bede7ddd7d14426

Observation 6bf28a3f-04d4-4abb-a732-ab92dc73e9d0 · inbound

VGGT-SLAM++ cites this paper.

VGGT-SLAM++ DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:15:56.626723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:44:51.395308Z digest=sha256:7dcefd0e1a329f6263f9c6336b867cc752fe8d2445157e1c08fb11831e898895

Observation f7bf05f4-a20d-4303-9062-6e3f1954bb31 · inbound

Flow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM cites this paper.

Flow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:06.804729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T12:31:08.076992Z digest=sha256:2dd5e2b640e540082e3a626fc34203e4860a8eb94de5f461da79f02d2ec78e4e

Observation 0c940996-bfc6-4575-90f3-1a3c097b28c0 · inbound

Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks cites this paper.

Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:26.856330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T00:52:45.264450Z digest=sha256:f07d955bde5c32bbc1f4127f2e9e421d9698f3813a9f8f54aed7b14e10674d15

Observation 9ab9df49-cdb6-4292-9e46-bcb04a7d39c4 · inbound

PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM cites this paper.

PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:13:05.459892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T06:08:41.482207Z digest=sha256:27b221ea8eb1f88775a70b2b1be184c76fa4238c6d5aad2541d5f50630624aba

Observation 469a10fd-0f9f-4e22-96bd-721a14e56c0d · inbound

PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM cites this paper.

PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:55:48.214046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T18:38:27.293012Z digest=sha256:1925f973aa45ffb71640a0ab23581205d2a0be76e067d905fc902fe7db6271c6

Observation dee4606c-1575-49c3-93d6-678b8bcc12b4 · inbound

Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence cites this paper.

Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:48:04.286985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:47:51.155743Z digest=sha256:50a60dc17180eca1c7e5d54cebf31da27cd43b80fe0d438034b64666fd142d59

Observation 459df366-3abf-4c5e-be7c-f10592402740 · inbound

Glob3R: Global Structure-from-Motion with 3D Foundation Models cites this paper.

Glob3R: Global Structure-from-Motion with 3D Foundation Models DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-13T01:21:15.228734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:21:15.228734Z digest=sha256:a544f2bd6ad6583b7d87b5e174049a0608c9d8dd6e1f2e7be2ec0b275f09c84f