Paper Citation Record · LEDGER

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.12635.

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

pith.paper-citation-record.v1
2411.12635 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:24:49.195331Z

measured 45 of 45 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 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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 19a1848a-d424-42ed-b2ae-3df28be2368d · outbound

This paper cites and Author D.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction and Author D

Reference 1

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Observation 411390cd-00dd-4a30-ae47-e0a261b2cd2a · outbound

This paper cites an unresolved cited work.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unresolved cited work

Reference 2

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Observation e7563c6d-1b2f-432b-b784-718663514aa9 · outbound

This paper cites Transformers are ssms: Generalized models and efficient algorithms through structured state space duality, 2024.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Transformers are ssms: Generalized models and efficient algorithms through structured state space duality, 2024

Reference 3

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Observation 5de7dbfe-f4fc-4bc6-88ce-0b4dd3c934cb · outbound

This paper cites Geogen: Geometry-aware generative modeling via signed distance functions, 2024.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Geogen: Geometry-aware generative modeling via signed distance functions, 2024

Reference 4

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Observation c3d70c8d-202c-4c99-979a-d257ac21138b · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction A point set generation network for 3d object reconstruction from a single image

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.717758Z

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Observation 10d4ff19-3fee-4e77-b5e0-2a802219fc13 · outbound

This paper cites 3d-front: 3d furnished rooms with layouts and semantics.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction 3d-front: 3d furnished rooms with layouts and semantics

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.703640Z

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Observation 140748a2-1663-434f-9be1-3f24e9a7d976 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 7

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Observation e06aca53-4d6d-4f5a-b58d-5e89f72cd2ad · outbound

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M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unresolved cited work

Reference 8

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Observation 49ce78ad-d9ba-4bb5-9244-6cd6fa47cd07 · outbound

This paper cites Deep residual learning for image recognition.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Deep residual learning for image recognition

Reference 9

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Source-reported events for the cited work

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Observation 5a2f3dd4-2a4e-4574-848a-252681026df3 · outbound

This paper cites Openlrm: Open-source large reconstruction models, 2023.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Openlrm: Open-source large reconstruction models, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.668662Z

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Observation 3002537d-74cb-4cfb-ba9d-2abe928edbc3 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Shap-E: Generating Conditional 3D Implicit Functions

Reference 11

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Observation eb8e9ca6-36d3-480e-8e19-0f550d75eebc · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estima- tion, 2024.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Repurposing diffusion-based image generators for monocular depth estima- tion, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.656458Z

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Observation 7f87b9e8-eb67-4af1-a30c-d0f6d419717e · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.643929Z

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Observation 1fb429b6-7384-4c9b-b49f-01777158344f · outbound

This paper cites Im- agenet classification with deep convolutional neural networks.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Im- agenet classification with deep convolutional neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.629397Z

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Observation 61c2cd08-40b9-4aa4-86af-e6e9068633f2 · outbound

This paper cites Recent advances in multi-modal 3d scene understanding: A comprehensive survey and evaluation, 2023.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Recent advances in multi-modal 3d scene understanding: A comprehensive survey and evaluation, 2023

Reference 15

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Observation 3bbec626-cfff-4c12-98e5-12c501986de9 · outbound

This paper cites an unresolved cited work.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 6ef1b2f7-3132-4410-b849-29d11d3df7c2 · outbound

This paper cites Planercnn: 3d plane detection and reconstruction from a single image.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Planercnn: 3d plane detection and reconstruction from a single image

Reference 17

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Observation 4027aebc-0b53-499b-9225-561e4193429e · outbound

This paper cites Towards high-fidelity single-view holistic reconstruction of indoor scenes.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Towards high-fidelity single-view holistic reconstruction of indoor scenes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.576979Z

Source-reported events for the cited work

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Observation 3274c9f4-75d4-43d0-b182-056f6de10bf2 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object, 2023.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Zero-1-to-3: Zero-shot one image to 3d object, 2023

Reference 19

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Observation 3de0e318-1ad4-4015-8370-f6507af091e6 · outbound

This paper cites Wonder3D: Single Image to 3D using Cross-Domain Diffusion.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Wonder3D: Single Image to 3D using Cross-Domain Diffusion

Reference 20

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Source-reported events for the cited work

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Observation bd1d87e2-31f4-4b94-bdaa-5515e9ab2e4a · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Marching cubes: A high resolution 3d surface construction algorithm

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.557065Z

Source-reported events for the cited work

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Observation 0e9da7cc-c992-4d17-908a-a2dfcfaa85d4 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Occupancy networks: Learning 3d reconstruction in function space

Reference 22

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Source-reported events for the cited work

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Observation d5f87aca-7bf7-4d56-a5ae-0d7e47ab323e · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Occupancy networks: Learning 3d reconstruction in function space

Reference 23

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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.

Observation bea34f5b-1c67-4a20-9ba3-c2c4e8b36720 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Srinivasan, Matthew Tancik, Jonathan T

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.522004Z

Source-reported events for the cited work

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Observation 70f4019e-29e8-42fa-be25-af8f6eeb3bba · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Deepsdf: Learning continuous signed distance functions for shape representation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.508325Z

Source-reported events for the cited work

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Observation f200aaf8-e29d-49eb-900e-82a8fccaaf58 · outbound

This paper cites V olumetric and multi-view cnns for object classification on 3d data.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction V olumetric and multi-view cnns for object classification on 3d data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.496281Z

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Observation 919af9c3-bf68-4e6b-9129-b3876338d685 · outbound

This paper cites Midas: High-quality depth estimation with minimal training data.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Midas: High-quality depth estimation with minimal training data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.483814Z

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Observation 44cbac4d-848d-4dd4-be52-539466de264f · outbound

This paper cites 3d-retr: End-to-end single and multi-view 3d reconstruction with transformers, 2021.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction 3d-retr: End-to-end single and multi-view 3d reconstruction with transformers, 2021

Reference 28

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Source-reported events for the cited work

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Observation 4786acc5-f8aa-4dc5-8e4f-7235ebfd15bd · outbound

This paper cites Richter, Ren ´e Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Richter, Ren ´e Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.460319Z

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.

Observation 000899dc-2195-4e59-97a6-891b90f50609 · outbound

This paper cites Multi-view supervision for single-view reconstruction via differentiable ray consistency.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Multi-view supervision for single-view reconstruction via differentiable ray consistency

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.448506Z

Source-reported events for the cited work

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Observation fc920a37-81f2-4e57-a5a8-04a5278a113e · outbound

This paper cites Vaswani, N.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Vaswani, N

Reference 31

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Observation 91917513-2960-4d5b-967a-394d3488185c · outbound

This paper cites Learning-based multi-view stereo: A survey, 2024.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Learning-based multi-view stereo: A survey, 2024

Reference 32

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Observation ec1cbdbb-470f-469a-9592-a446370ff0df · outbound

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M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unresolved cited work

Reference 33

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Observation 08098152-0b53-41dd-b1b2-a6703102d18d · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.397211Z

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Observation 272f2779-73f8-4e64-9b70-8aa0a6cc8d6e · outbound

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M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unresolved cited work

Reference 35

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Observation 1448a3e5-4dc9-4747-8c36-286b1b4a3c02 · outbound

This paper cites CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Reference 36

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Observation 89677028-f96c-4a71-87a1-30530f154816 · outbound

This paper cites Unique3d: High- quality and efficient 3d mesh generation from a single image, 2024.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unique3d: High- quality and efficient 3d mesh generation from a single image, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.371805Z

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Observation 67c11c52-1f4c-4ecb-bf74-f02b3a8c3bba · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes, 2015.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction 3d shapenets: A deep representation for volumetric shapes, 2015

Reference 38

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Observation d73f9208-4024-4905-b99e-64d0e34077a5 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 39

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M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:24:49.352587Z

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Observation 092f2e01-a50e-42c2-be60-9c1bcddc4990 · outbound

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

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Depth anything: Unleashing the power of large-scale unlabeled data

Reference 41

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Observation e04906f2-8398-438e-982d-2f13b1c94d49 · outbound

This paper cites Holistic 3d scene under- standing from a single image with implicit representation.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Holistic 3d scene under- standing from a single image with implicit representation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.333422Z

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.

Observation 093fc35f-ec7e-4586-9e24-ffd16fc43f3a · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes, 2024.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:49.320940Z

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.

Observation 64401c33-9330-45b8-aef3-f7ff19af2503 · outbound

This paper cites VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:49.190499Z

Source-reported events for the cited work

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Observation 9d6f7769-8322-402a-992e-64e1cd3d12a5 · outbound

This paper cites Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers.

M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.