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Paper Citation Record · LEDGER

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1907.01341.

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

pith.paper-citation-record.v1
1907.01341 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:42.765172Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

47
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa9384a3-c2da-4608-8f25-546c09bacdcb · inbound

DIODE: A Dense Indoor and Outdoor DEpth Dataset cites this paper.

DIODE: A Dense Indoor and Outdoor DEpth Dataset Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 19

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no resolver link, observed 2026-08-14T15:58:31.466622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:31.466622Z digest=sha256:27161dcfc786d7f91ff92c5f94dd8c77b1d6292c6f2fcf9c9717516d0bc5c45b

Observation 0bc37aff-3050-4e60-b502-7c017aa91061 · inbound

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks cites this paper.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 202

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no resolver link, observed 2026-08-14T11:24:25.346426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:24:25.346426Z digest=sha256:8d4fe22c2a7ced518ac69f9008f20f78ed2adb118fdc232e5d17cb321f366071

Observation f689348f-02f4-4504-924d-3a0806bea601 · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 200

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arxiv_id, observed 2026-05-17T07:51:13.151993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-17T07:51:12.953777Z digest=sha256:e59ec30bf98f3a3dd22b818d3710ac551be837d2da77a49f25b5b1a5fca68b5c

Observation dab317b4-5d3a-4321-83bc-008cf200a0aa · inbound

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches cites this paper.

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 36

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no resolver link, observed 2026-08-08T12:22:43.225552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:22:43.225552Z digest=sha256:cc76e08c8e4528e660f6ef7033c23111de3ef9917ad983c66ba1c271a0ad6334

Observation e8103d8e-965a-4521-89dd-7116e34135d8 · inbound

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring cites this paper.

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 31

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unresolved
no resolver link, observed 2026-08-16T10:24:42.765172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:24:42.765172Z digest=sha256:d6ab31bf7104c7d3630c3143ed512ad79a946672656a59e14dce557cb968a7ee

Observation 8dba9fc4-e3ba-4890-b8b1-381f9d4304ce · inbound

LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment cites this paper.

LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 7

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no resolver link, observed 2026-08-16T04:34:13.511221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:13.511221Z digest=sha256:a81be8f7b3c3214a2368823b76b7e8f2fc4cb4552814a2e01acf043e9bbc94fd

Observation 98187afb-3899-4946-9d0f-cdaa0fe3cb39 · 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 Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 8

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no resolver link, observed 2026-08-07T11:36:02.258859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:02.258859Z digest=sha256:bff2896394577500d9652dace1777cbce5e6d7938071130aa53cbc54c797cc1c

Observation 43612749-da58-4842-88a0-0cca07580e6c · inbound

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations cites this paper.

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 27

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no resolver link, observed 2026-08-06T21:07:15.165396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:15.165396Z digest=sha256:1b552ece6659406e8f8811821e9e981711eee4570a92aee23782c86c439f752f

Observation 836f269b-135f-485c-b524-6f7f36c85cf3 · inbound

The Role of Initialization in 3D Gaussian Splatting cites this paper.

The Role of Initialization in 3D Gaussian Splatting Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 37

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verified exact
arxiv_id, observed 2026-05-15T07:25:12.414229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T07:24:49.414630Z digest=sha256:06579d1bfdc1440b892368779b7b0cca924ae9f61125567be9b9478106cc8ca7

Observation ae5e49cc-ef2d-4d0c-8e04-af14fd54f993 · inbound

The Role of Initialization in 3D Gaussian Splatting cites this paper.

The Role of Initialization in 3D Gaussian Splatting Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 37

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no resolver link, observed 2026-08-02T17:46:56.343685Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:46:56.343685Z digest=sha256:be18cdb85d8aed29864d79be21531ea93f391578469762d485d387e7fa08cc11

Observation c84b897e-985d-463c-9786-3ee4502a60e0 · inbound

Zero-shot World Models Are Developmentally Efficient Learners cites this paper.

Zero-shot World Models Are Developmentally Efficient Learners Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 60

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metadata mismatch
arxiv_id, observed 2026-05-11T10:21:00.150377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:33:39.342672Z digest=sha256:27fb6d4cb43a21fcbae1319e24160f36965b0718680ab1c6a5b1c81f2dabe0dd

Observation a3dffd87-0171-43fd-a099-d5d4e902fb7d · inbound

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation cites this paper.

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 4

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metadata mismatch
arxiv_id, observed 2026-05-08T21:34:15.206643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T12:47:04.021460Z digest=sha256:6f517a55ce6cbef4a8f72c673b06936e77ea9249111e633e624709f448895162

Observation 0cb028ac-9e2a-4ba9-87d6-775eb16cf7b0 · 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 Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T21:46:40.225776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T04:26:53.225501Z digest=sha256:5c8ed9e529b0e21cc0ef566c29233dba9c80cc620ef13ce6ed89d65057c89d6b

Observation 94c48550-ff7c-4cf8-8982-44929e05680d · inbound

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations cites this paper.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 1

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no resolver link, observed 2026-07-11T21:42:00.898441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:42:00.898441Z digest=sha256:19f12d674d879d3336b43cb456d300ff4e01ee74e564438268b4b60807645427

Observation 4f22cc3f-e2c2-47b9-95a1-3748878fb4b6 · inbound

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence cites this paper.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 137

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unresolved
no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:bcd0507b12379617868c8fdd3135039011966dbea00caef62d1d82641b5b5575

Observation 810d4dde-081a-4678-9cbf-7f869cec8cd0 · 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 Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 2019

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no resolver link, observed 2026-08-01T16:34:23.290408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:34:23.290408Z digest=sha256:d1a7990e21122fab0809e3859d5a0368c39af67c4d5809a87a80610cba5e2b44

Observation 9349a1c5-de07-4921-9ea7-ca0df32e0a9c · inbound

GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction cites this paper.

GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 31

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no resolver link, observed 2026-08-11T16:27:38.791177Z

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Unavailable: canonical work link unavailable.

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