Paper Citation Record · LEDGER

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.02554.

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

pith.paper-citation-record.v1
2607.02554 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T11:18:25.902365Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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verified fuzzy0
unresolved25
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23139e89-e8e7-42c7-b3d3-0188f8dc6241 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Unavailable: canonical work link unavailable.

Observation 6e2b41e4-3ca9-4e62-8cf7-de16ca4fde81 · outbound

This paper cites Zoedepth: Zero-shot transfer by combining relative and metric depth.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Zoedepth: Zero-shot transfer by combining relative and metric depth

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 4505767b-14b1-43ab-b3c6-be866d5192e0 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation a6541106-ea63-4c1f-bd66-eae6a6abed67 · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 50ece926-20c6-4be1-b392-a2ad6df14e50 · outbound

This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Depth-regularized optimization for 3d gaussian splatting in few-shot images

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Unavailable: canonical work link unavailable.

Observation 241e7291-1282-453a-baa8-9768e03af40e · outbound

This paper cites Depth-supervised NeRF: Fewer Views and Faster Training for Free.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Depth-supervised NeRF: Fewer Views and Faster Training for Free

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Unavailable: canonical work link unavailable.

Observation 07e625ea-e569-4ec1-9a52-094e64994315 · outbound

This paper cites Vision meets robotics: The kitti dataset.The in- ternational journal of robotics research, 32(11):1231–1237,.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Vision meets robotics: The kitti dataset.The in- ternational journal of robotics research, 32(11):1231–1237,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation d8ac63be-3696-4d40-95aa-2e7a748a4fc4 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 66b49aaf-9296-4e31-a137-13b18e81cafa · outbound

This paper cites Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation d4a88f34-f9cb-472b-a01a-30b7645e5857 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 888373bb-8805-40c7-a01d-7b1364b20840 · outbound

This paper cites Splatfacto.https : / / docs.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Splatfacto.https : / / docs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation c75ea98f-31f2-4986-a1e0-f97b650287ae · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Unidepth: Universal monocular metric depth estimation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 9e31b9ed-7ebd-4006-aad1-d2bbc3d00324 · outbound

This paper cites an unresolved cited work.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation f9117487-a8d6-4e07-ac9c-6a73e0aa6ebe · outbound

This paper cites Dense Depth Priors for Neural Radiance Fields from Sparse Input Views.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 4694c187-9b22-4d9c-b63d-9d554a654299 · outbound

This paper cites Nerfstudio: A modular framework for neural radiance field development.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Nerfstudio: A modular framework for neural radiance field development

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 738fb807-6faa-44e4-a6dd-efdd071e6831 · outbound

This paper cites Dn-splatter: Depth and normal priors for gaussian splatting and meshing.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Dn-splatter: Depth and normal priors for gaussian splatting and meshing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Unavailable: canonical work link unavailable.

Observation 5cffef87-4637-46cf-b4b4-ad2ff02eeac8 · outbound

This paper cites Dig- ging into depth priors for outdoor neural radiance fields.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Dig- ging into depth priors for outdoor neural radiance fields

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Unavailable: canonical work link unavailable.

Observation 2bb4af79-ae40-4d84-a57b-e3821d90ed2b · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

Source-reported events for the cited work

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Observation fce8c2df-5537-4e46-b145-9db9f3409de6 · outbound

This paper cites In Depth We Trust: Reliable Monocular Depth Supervision for Gaussian Splatting.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction In Depth We Trust: Reliable Monocular Depth Supervision for Gaussian Splatting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

Source-reported events for the cited work

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Observation 155231f1-6160-40c3-af02-b133f1188946 · outbound

This paper cites SparseGS: Sparse View Synthesis using 3D Gaussian Splatting.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 8cd1757a-4078-433b-a876-38ed8df60bcf · outbound

This paper cites Depthsplat: Connecting gaussian splatting and depth.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Depthsplat: Connecting gaussian splatting and depth

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation bb785969-df00-43b8-a42b-52542d95f936 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Depth anything: Unleashing the power of large-scale unlabeled data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 07ff5487-562c-4efd-a99a-c1ec2a544f6f · outbound

This paper cites Depth any- thing v2.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Depth any- thing v2

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 339918b4-4426-4bbb-837b-e1bb290d0f94 · outbound

This paper cites Metric3d: 9 Towards zero-shot metric 3d prediction from a single image.

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction Metric3d: 9 Towards zero-shot metric 3d prediction from a single image

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Observation 3a059764-37d3-4fff-aad1-abf43e537647 · outbound

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

Reliability-Aware Monocular Depth Supervision for Sparse-View Neural Reconstruction The unreasonable effectiveness of deep features as a perceptual metric

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T11:18:25.902365Z

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Pith citing papers

No inbound Pith citation observations are available.