Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:29:46.516954Z
Paper Citation Record · LEDGER
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
As of 23 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 6 inbound Pith citation observations for arXiv:2412.01430.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:34.464265Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T05:07:38.463122Z
Reference resolution
8 of 8 outbound references displayed
- verified exact1
- verified fuzzy1
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c3e4009e-a2ec-4428-bede-ace0ab97377c · outbound
This paper cites GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:29:46.505464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 546c60c7-c4b1-4711-8ff8-bb179989d051 · outbound
This paper cites CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:29:46.563250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ad26285b-33c8-469a-b80b-cb04819ebe15 · outbound
This paper cites Methods ECCSD DAVIS MV1-500 MV1-Anno 0.143 0.195 0.243 MV2-Anno (ours) 0.103 0.143 0.172 B MORE EXPERIMENTS Mask annotation quality.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images Methods ECCSD DAVIS MV1-500 MV1-Anno 0.143 0.195 0.243 MV2-Anno (ours) 0.103 0.143 0.172 B MORE EXPERIMENTS Mask annotation quality
Reference 500
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:29:46.685503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cfcc029f-03ab-44d0-ad15-dd93c0b4e825 · outbound
This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images The 2017 DAVIS Challenge on Video Object Segmentation
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:29:46.481918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 463eebd0-fe43-4750-b0e8-1bd636cfa143 · outbound
This paper cites Duoduo CLIP: Efficient 3D Understanding with Multi-View Images.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images Duoduo CLIP: Efficient 3D Understanding with Multi-View Images
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:29:46.475075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4420dc7a-89b5-4060-8d6a-a2a22cebeb6e · outbound
This paper cites Anything-3D: Towards Single-view Anything Reconstruction in the Wild.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:29:46.487551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 120e3776-3fa3-4911-9005-a98c8a855467 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:29:46.493206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e69054b-fa49-471d-81cc-895ee0cab0d8 · outbound
This paper cites GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:29:46.498841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 1fea3933-65de-4d13-bbcd-87db207111a5 · inbound
Emerging Properties in Unified Multimodal Pretraining cites this paper.
Emerging Properties in Unified Multimodal Pretraining MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:23:42.191599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fd0bcfaa-ced7-4c8a-a4bb-784139fc100b · inbound
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation cites this paper.
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:10:34.464265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db6a5d71-0ece-4bd4-b225-0255de6e02e2 · inbound
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation cites this paper.
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:47:05.055172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be0eb9a0-f2f4-4ce3-85b0-26a7a548619b · inbound
TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking cites this paper.
TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:30:58.978930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64826394-12c4-4f2f-920b-d91343b91122 · inbound
ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations cites this paper.
ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:07:38.465210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6fe1cde9-3bcc-44d4-9cab-4f4c7d645f9e · inbound
DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers cites this paper.
DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:15:44.810174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.