Paper Citation Record · LEDGER

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.19115.

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

pith.paper-citation-record.v1
2410.19115 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:38:57.185124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:46:41.316792Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 925e6259-f10e-4e01-9422-6020090b9be7 · inbound

GenHSI: Controllable Generation of Human-Scene Interaction Videos cites this paper.

GenHSI: Controllable Generation of Human-Scene Interaction Videos MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:08.895161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a15b29b-dc96-4465-b23d-caacc236bef3 · inbound

BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models? cites this paper.

BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models? MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:38:57.185124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1184ea-9803-4faa-85c1-213dc6c0e4fd · inbound

Follow My Hold: Hand-Object Interaction Reconstruction through Geometric Guidance cites this paper.

Follow My Hold: Hand-Object Interaction Reconstruction through Geometric Guidance MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:38.894686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36e1aab7-0a22-4111-bef6-525de35b4876 · inbound

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding cites this paper.

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:22:04.589293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 38426767-49a0-459e-9f91-2072a1598713 · inbound

VGGT-$\Omega$ cites this paper.

VGGT-$\Omega$ MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 185

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:35:02.591688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7d038493-3233-495f-9437-2f65bceb0e69 · inbound

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling cites this paper.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.408956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0cd4b3d5-c125-4fec-a356-b4ef069bfa55 · inbound

SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping cites this paper.

SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:03:26.476829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 561db328-84f9-45c4-be5f-5c9c42d194aa · inbound

VEGA: Learning Navigation VLAs from In-the-Wild Egocentric Video with Geometric Trajectory Supervision cites this paper.

VEGA: Learning Navigation VLAs from In-the-Wild Egocentric Video with Geometric Trajectory Supervision MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:38:59.512384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1dfc9dad-6880-4106-a4a5-a2256ce42ab6 · inbound

VEGA: Learning Navigation VLAs from In-the-Wild Egocentric Video with Geometric Trajectory Supervision cites this paper.

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T11:03:52.805057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80343bf5-789f-4f5c-910e-dea1cb8a167d · inbound

HandsOnWorld: Unconstrained Egocentric Video Generation with Camera-Disentangled Hand Control cites this paper.

HandsOnWorld: Unconstrained Egocentric Video Generation with Camera-Disentangled Hand Control MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:58:37.529902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f31c20a1-5f9d-47b3-be0e-d3f5f1fd0608 · inbound

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device cites this paper.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 84

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.318309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5b484509-dbb2-4d78-93a1-eb1fe71312e2 · inbound

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras cites this paper.

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:25.668451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 779a25f6-65ef-4e8e-8a82-c5134a36b288 · inbound

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement cites this paper.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.163530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.