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Paper Citation Record · LEDGER

Online Neural Space Time Memory for Dynamic Novel View Synthesis

As of 7 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2607.15271.

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

pith.paper-citation-record.v1
2607.15271 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:44:35.611828Z

measured 67 of 67 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation c45839df-4c18-4904-b54a-e6fef8481613 · outbound

This paper cites Neural point-based graph- ics.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Neural point-based graph- ics

Reference 1

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Observation 89c66a75-4a4b-460a-94d7-85bdba11386b · outbound

This paper cites Simple linear attention language models bal- ance the recall-throughput tradeoff.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Simple linear attention language models bal- ance the recall-throughput tradeoff

Reference 2

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Observation 0fd9d0f2-efea-4e56-88d1-48826373a487 · outbound

This paper cites Atlas: Learning to optimally memorize the con- text at test time, 2025.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Atlas: Learning to optimally memorize the con- text at test time, 2025

Reference 3

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Observation f3aa4e55-0ac6-437b-bd9f-e1237d5e929a · outbound

This paper cites Nested learning: The illusion of deep learning ar- chitectures.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Nested learning: The illusion of deep learning ar- chitectures

Reference 4

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Observation 3e1b4a93-d01a-431f-bed4-c902ff52de7a · outbound

This paper cites Titans: Learning to memorize at test time.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Titans: Learning to memorize at test time

Reference 5

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Observation 6e94a4ff-64ad-47a8-8f4a-b8b623cc3735 · outbound

This paper cites Memory caching: Rnns with growing memory, 2026.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Memory caching: Rnns with growing memory, 2026

Reference 6

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Observation dbe8f81b-37e9-4423-afa9-5efbfacdb44d · outbound

This paper cites It’s all connected: A journey through test-time memorization, attentional bias, retention, and online opti- mization.

Online Neural Space Time Memory for Dynamic Novel View Synthesis It’s all connected: A journey through test-time memorization, attentional bias, retention, and online opti- mization

Reference 7

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Observation 88137e58-27b7-4c85-8dd1-efe912d9e3da · outbound

This paper cites Immersive light field video with a layered mesh representation.ACM Trans- actions on Graphics (TOG), 39(4):86–1, 2020.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Immersive light field video with a layered mesh representation.ACM Trans- actions on Graphics (TOG), 39(4):86–1, 2020

Reference 8

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Observation 755397e2-fea2-4769-ae9f-e16c70afccdb · outbound

This paper cites Hexplane: A fast representa- tion for dynamic scenes.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Hexplane: A fast representa- tion for dynamic scenes

Reference 9

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Observation 5447979e-7345-4697-9ebc-9ce3e0c2f3df · outbound

This paper cites Image Quality Assessment: Unifying Structure and Texture Similarity.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Image Quality Assessment: Unifying Structure and Texture Similarity

Reference 10

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Observation 881bd721-80d1-4c06-aabb-584410750059 · outbound

This paper cites Hymba: A hybrid-head architecture for small language mod- els.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Hymba: A hybrid-head architecture for small language mod- els

Reference 11

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Observation 4eef4804-7930-4b2b-841e-fe61bb59cbd9 · outbound

This paper cites Deepstereo: Learning to predict new views from the world’s imagery.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Deepstereo: Learning to predict new views from the world’s imagery

Reference 12

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Observation db02339f-1dac-463a-95d0-06d98e1be273 · outbound

This paper cites Deepview: View synthesis with learned gra- dient descent.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Deepview: View synthesis with learned gra- dient descent

Reference 13

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Observation bc93f567-a5b4-49cd-9d0e-b5c492d68f08 · outbound

This paper cites Quark: Real-time, high-resolution, and general neural view synthesis.ACM Transactions on Graphics (TOG), 43(6):1–20, 2024.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Quark: Real-time, high-resolution, and general neural view synthesis.ACM Transactions on Graphics (TOG), 43(6):1–20, 2024

Reference 14

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Observation 8a69327f-9b1e-4308-a712-992868aefc9e · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

Online Neural Space Time Memory for Dynamic Novel View Synthesis K-planes: Explicit radiance fields in space, time, and appearance

Reference 15

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Observation 3e991174-de33-4b59-a80e-51403bf9791f · outbound

This paper cites Log-linear attention.arXiv preprint arXiv:2506.04761, 2025.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Log-linear attention.arXiv preprint arXiv:2506.04761, 2025

Reference 16

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Observation 67da9a83-424c-4f05-a3dc-80fee0fcd670 · outbound

This paper cites Liq- uid structural state-space models.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Liq- uid structural state-space models

Reference 17

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Observation fad2ba04-e0c5-4067-ad21-b8ddb0934ca8 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (ToG), 37(6):1–15, 2018.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (ToG), 37(6):1–15, 2018

Reference 18

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Observation e1637f38-cccd-4a53-a79c-f60bca34fb45 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 19

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Observation f624695f-b4ab-41cf-bf4b-b4bc0f31ad90 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

Online Neural Space Time Memory for Dynamic Novel View Synthesis 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 20

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Observation 7d2e5385-ca1b-4f91-bd25-fefc0f3bcee5 · outbound

This paper cites Neural differential equations for learning to program neural nets through continuous learning rules.Advances in Neural Information Processing Systems, 35:38614–38628, 2022.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Neural differential equations for learning to program neural nets through continuous learning rules.Advances in Neural Information Processing Systems, 35:38614–38628, 2022

Reference 21

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Observation 5ac1141e-c4f7-4e60-9d0a-bd4bf80e7352 · outbound

This paper cites Lvsm: A large view synthesis model with minimal 3d inductive bias.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Lvsm: A large view synthesis model with minimal 3d inductive bias

Reference 22

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Observation f0a44fc7-484f-4183-a4b2-491f9e2b4a56 · outbound

This paper cites Barron, Noah Snavely, and Aleksander Holyn- ski.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Barron, Noah Snavely, and Aleksander Holyn- ski

Reference 23

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Observation 0f208f68-aaea-4eb6-a6e0-42533958b2c5 · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Muon: An optimizer for hidden layers in neural networks, 2024

Reference 24

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Observation 61e58b55-fc50-49d4-b8a5-dbd613846788 · outbound

This paper cites Polysketchformer: Fast transformers via sketching poly- nomial kernels.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Polysketchformer: Fast transformers via sketching poly- nomial kernels

Reference 25

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Observation 48314fbb-5625-407e-84f4-622930e331ef · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 26

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Observation 138efe67-cb6b-4477-b74a-cf10380046bd · outbound

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

Online Neural Space Time Memory for Dynamic Novel View Synthesis 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 27

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Observation acffb8ed-be62-42f9-b8dd-b594182415ea · outbound

This paper cites MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization.

Online Neural Space Time Memory for Dynamic Novel View Synthesis MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization

Reference 28

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Observation 994e1717-fa43-401d-8240-62c9254c0e39 · outbound

This paper cites Neural 3d video synthesis from multi-view video.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Neural 3d video synthesis from multi-view video

Reference 29

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Observation e0e9cd92-c1b1-4555-85a0-bee0530e8b66 · outbound

This paper cites Spacetime gaus- sian feature splatting for real-time dynamic view synthesis.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Spacetime gaus- sian feature splatting for real-time dynamic view synthesis

Reference 30

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Observation abf656b1-4601-45c2-baae-b33f2bfd9117 · outbound

This paper cites Efficient neural radiance fields for interactive free-viewpoint video.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Efficient neural radiance fields for interactive free-viewpoint video

Reference 31

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Observation b549b79d-f265-4b92-8cd8-1ee70a643e9f · outbound

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

Online Neural Space Time Memory for Dynamic Novel View Synthesis Zero-1-to- 3: Zero-shot one image to 3d object

Reference 32

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Observation cfca4088-0043-4d31-b540-caec87c37985 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

Online Neural Space Time Memory for Dynamic Novel View Synthesis SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 33

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source=pdf_text observed=2026-08-01T23:44:32.025352Z digest=sha256:dcb941ca098782b95cc286e377fe0eddeb192e5ecf21125ae992cafd2614d86b

Observation d93faad6-359e-4858-98d9-1a68cc9ddb60 · outbound

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

Online Neural Space Time Memory for Dynamic Novel View Synthesis Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 34

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Observation fe0bf9e9-d2a5-4cc3-86d1-2d4b1a169895 · outbound

This paper cites Wind, Tianyi Wu, Daniel Wut- tke, and Christian Zhou-Zheng.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Wind, Tianyi Wu, Daniel Wut- tke, and Christian Zhou-Zheng

Reference 35

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Observation 7712b01e-a7c6-4a26-b9aa-ce1e6070fc23 · outbound

This paper cites Free view synthesis.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Free view synthesis

Reference 36

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Observation 31723ce3-658c-4d77-b66e-7cca0da769dc · outbound

This paper cites Scene representation transformer: Geometry-free novel view syn- thesis through set-latent scene representations.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Scene representation transformer: Geometry-free novel view syn- thesis through set-latent scene representations

Reference 37

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source=pdf_text observed=2026-08-01T23:44:32.310545Z digest=sha256:eb10c18129a5d51e499b12095c2c9c5715eeb1ea0aa30af7dcd22908a02e17be

Observation a7fbbad0-63c1-47e4-bb8c-d6ad5fafb62a · outbound

This paper cites Linear transformers are secretly fast weight programmers.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Linear transformers are secretly fast weight programmers

Reference 38

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source=pdf_text observed=2026-08-01T23:44:32.391180Z digest=sha256:c4d72018c1e608b581208da5b34584347258f5b61e3c83135dcedd244015a85e

Observation 4f3288ef-9bca-49ee-b917-395e90fcfb2d · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Online Neural Space Time Memory for Dynamic Novel View Synthesis MVDream: Multi-view Diffusion for 3D Generation

Reference 39

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no resolver link, observed 2026-08-01T23:44:32.468029Z

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source=pdf_text observed=2026-08-01T23:44:32.468029Z digest=sha256:9aab098532ae6fe9a902d115368b37190259317382353592ab7c34905fa53834

Observation d1a7d888-140d-4eec-bf73-02d3d5b94293 · outbound

This paper cites Scene representation networks: Continuous 3d- structure-aware neural scene representations.Advances in neural information processing systems, 32, 2019.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Scene representation networks: Continuous 3d- structure-aware neural scene representations.Advances in neural information processing systems, 32, 2019

Reference 40

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source=pdf_text observed=2026-08-01T23:44:32.534518Z digest=sha256:6a0465cdcf63e2c3748ccbe06f80a0594720e4bb33b14a5d8f146ed57d079a41

Observation 7dff5292-84d7-4dbb-85b8-e03d8d582786 · outbound

This paper cites 3dgstream: On-the-fly training of 3d gaussians for efficient streaming of photo-realistic free- viewpoint videos.

Online Neural Space Time Memory for Dynamic Novel View Synthesis 3dgstream: On-the-fly training of 3d gaussians for efficient streaming of photo-realistic free- viewpoint videos

Reference 41

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no resolver link, observed 2026-08-01T23:44:32.616328Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:32.616328Z digest=sha256:31519138359a5f2c93281d6d18e3c01d8810b04203e4a943ed1c2cccab6f34ca

Observation dc40da5f-e62f-4856-b598-fe2641ec06df · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Retentive Network: A Successor to Transformer for Large Language Models

Reference 42

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no resolver link, observed 2026-08-01T23:44:32.695884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:32.695884Z digest=sha256:82e81703a055c9b94773f019a3a46ca19badfb0407bf882c7324c6d897be7277

Observation f3bd6461-28f3-4acf-bc09-41129fd38b8d · outbound

This paper cites Learning to (learn at test time): Rnns with expressive hidden states, 2025.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Learning to (learn at test time): Rnns with expressive hidden states, 2025

Reference 43

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no resolver link, observed 2026-08-01T23:44:32.806421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:32.806421Z digest=sha256:4b66698e4c68cd9fccfa854c10b54713ecd545839a37365b7f24748a73e19445

Observation 425cff82-7606-48f6-89b2-0f2026305de3 · outbound

This paper cites De- ferred neural rendering: Image synthesis using neural tex- tures.Acm Transactions on Graphics (TOG), 38(4):1–12,.

Online Neural Space Time Memory for Dynamic Novel View Synthesis De- ferred neural rendering: Image synthesis using neural tex- tures.Acm Transactions on Graphics (TOG), 38(4):1–12,

Reference 44

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no resolver link, observed 2026-08-01T23:44:32.878410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:32.878410Z digest=sha256:1fd2e29b62956be8236f267c278750c15f84ff681d931e91b4600276a3937f5d

Observation eea49a37-0b94-4339-85ee-20656d35e3bb · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 45

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no resolver link, observed 2026-08-01T23:44:32.960427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:32.960427Z digest=sha256:eabdb6a16830c4f26ea749a7c9bff16b0586b0e15396e9fb66b6d8e226b144d2

Observation 31d6ff72-de36-4351-922a-397d8ade235b · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Vggt: Vi- sual geometry grounded transformer

Reference 46

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unresolved
no resolver link, observed 2026-08-01T23:44:33.045052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.045052Z digest=sha256:c2698fd859b868b97ae121dca6d3178b3c07203c2bd6b4b2a4998632c3137ae8

Observation 609d5973-8360-4e62-92e5-93851bfe939e · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Online Neural Space Time Memory for Dynamic Novel View Synthesis NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T23:44:33.125690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.125690Z digest=sha256:9f650e1b8c9176bcfaf5a0276f1a75c74013f5eaf202ea7b2b7112ae1dbf85d3

Observation b7eae0ab-f84a-4ecf-8186-7cad90264d4e · outbound

This paper cites Ibr- net: Learning multi-view image-based rendering.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Ibr- net: Learning multi-view image-based rendering

Reference 48

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unresolved
no resolver link, observed 2026-08-01T23:44:33.230755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.230755Z digest=sha256:2f0a93c2d276a3307c2c1afa01d2752f2cbd2dc34e8cad86d8270fdebd1a271e

Observation 94f06289-f49d-4456-aae1-67eb2fe822cc · outbound

This paper cites Efros, and Angjoo Kanazawa.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Efros, and Angjoo Kanazawa

Reference 49

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unresolved
no resolver link, observed 2026-08-01T23:44:33.308749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.308749Z digest=sha256:3cf79cd80cf9516df8f599795e913e5f3a4a6563e1182ad1fcf10bead1007e20

Observation fd9ca245-9856-4313-b8a4-55d4b361411d · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Dust3r: Geometric 3d vi- sion made easy

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T23:44:33.768897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.768897Z digest=sha256:76484cb13781cb3500deb508223dd7a8dc92528dce71c9579874ff4a8066eed4

Observation af53b844-fd2c-4154-892c-5c9aad634dff · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction

Reference 51

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unresolved
no resolver link, observed 2026-08-01T23:44:33.914822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.914822Z digest=sha256:defc0156639d719ee75ee60859dd16428a83cfbf6d7379ff2d9442d47c1e7418

Observation 7a0f9963-0698-4311-ada5-a43856942eca · outbound

This paper cites Learning efficient fuse-and-refine for feed-forward 3d gaussian splatting.arXiv preprint arXiv:2503.14698, 2025.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Learning efficient fuse-and-refine for feed-forward 3d gaussian splatting.arXiv preprint arXiv:2503.14698, 2025

Reference 52

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no resolver link, observed 2026-08-01T23:44:34.120681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.120681Z digest=sha256:db11dc79f9d1970505e5f859361f8edf326577350eae9457d962e3acce81757f

Observation c0fe80a4-6f0a-44b5-8440-5efb9cc5b476 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Novel View Synthesis with Diffusion Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T23:44:34.223716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.223716Z digest=sha256:9c9c794ce688b3c836553f0599690eb8db6885bbd03dd56d646e22bd02ed3fd0

Observation cdb65cd8-7825-4b55-952c-38dec683cc06 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

Online Neural Space Time Memory for Dynamic Novel View Synthesis 4d gaussian splatting for real-time dynamic scene rendering

Reference 54

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unresolved
no resolver link, observed 2026-08-01T23:44:34.347902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.347902Z digest=sha256:df6d7027a82491c3d2a92b03c5f5822ce213c37943f2ae6d17b0144a8baf81bb

Observation bbd47e18-e0bd-40bc-9106-725e1f1f2a98 · outbound

This paper cites Mvhumannet: A large-scale dataset of multi-view daily dressing human captures.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Mvhumannet: A large-scale dataset of multi-view daily dressing human captures

Reference 55

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unresolved
no resolver link, observed 2026-08-01T23:44:34.457555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.457555Z digest=sha256:8f1c1b0cc235a50eb3caa4d7271f8aa243314dec90f3e45cd8ee8668bc273091

Observation 127c9e76-e15a-4c71-a9b7-e6177df9a4b6 · outbound

This paper cites Point- nerf: Point-based neural radiance fields.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Point- nerf: Point-based neural radiance fields

Reference 56

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unresolved
no resolver link, observed 2026-08-01T23:44:34.637623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.637623Z digest=sha256:0696595f47d753cee9c0b18582d859ed2d0b326d4f338e270033b3399e0a5de2

Observation 2bc48ba1-69b0-44cf-bf69-f79a515b3555 · outbound

This paper cites 4k4d: Real-time 4d view synthesis at 4k resolution.

Online Neural Space Time Memory for Dynamic Novel View Synthesis 4k4d: Real-time 4d view synthesis at 4k resolution

Reference 57

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unresolved
no resolver link, observed 2026-08-01T23:44:34.789280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.789280Z digest=sha256:ffc5ccaee5034818838f12ac428bf7c2b35e2e1564c2fab2e51e8efafb613785

Observation 914a4ea3-c46b-4f90-88bf-6badfdc75bdc · outbound

This paper cites 4dgt: Learning a 4d gaus- sian transformer using real-world monocular videos.arXiv preprint arXiv:2506.08015, 2025.

Online Neural Space Time Memory for Dynamic Novel View Synthesis 4dgt: Learning a 4d gaus- sian transformer using real-world monocular videos.arXiv preprint arXiv:2506.08015, 2025

Reference 58

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.944313Z digest=sha256:1c789da0119c1f3e6f9c9ced76b9e82095dd7e48fc9ddbf2e1b2f412865183b1

Observation 315d0124-f1aa-4ae2-860c-90e2bbae646d · outbound

This paper cites Instant gaussian stream: Fast and generalizable streaming of dy- namic scene reconstruction via gaussian splatting.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Instant gaussian stream: Fast and generalizable streaming of dy- namic scene reconstruction via gaussian splatting

Reference 59

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no resolver link, observed 2026-08-01T23:44:35.029273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.029273Z digest=sha256:f33a4a2008b8e037eff52960604c9c6c0efc130a5db4d7537105861d59ba52bb

Observation 62929742-6479-4d56-a747-d843006c4adf · outbound

This paper cites Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.143351Z digest=sha256:34c337e5869e6c288862e6ebc133ea7ef3fa1980e0b4df8eef96b0f1ae5bcc9a

Observation 0eba5990-f498-4ee9-9849-3ebd34dbe93d · outbound

This paper cites Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance.Advances in Neural Information Processing Sys- tems, 33:2492–2502, 2020.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance.Advances in Neural Information Processing Sys- tems, 33:2492–2502, 2020

Reference 61

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no resolver link, observed 2026-08-01T23:44:35.264357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.264357Z digest=sha256:fff873d667c19ebde6c8f602d0905954f2d5826f6ead5d09de196f7cf371a094

Observation b8b26e3a-3050-4e4a-8dc4-6117bd66dc8f · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.Advances in neu- ral information processing systems, 34:4805–4815, 2021.

Online Neural Space Time Memory for Dynamic Novel View Synthesis V ol- ume rendering of neural implicit surfaces.Advances in neu- ral information processing systems, 34:4805–4815, 2021

Reference 62

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no resolver link, observed 2026-08-01T23:44:35.317355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.317355Z digest=sha256:af72a8b09c3836d544200f5e3d28bfcab4423ec298456f61ace3efddcf5ec376

Observation 67042cfd-dced-4f24-abda-66272a0cdfb4 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

Online Neural Space Time Memory for Dynamic Novel View Synthesis ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 63

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unresolved
no resolver link, observed 2026-08-01T23:44:35.424123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.424123Z digest=sha256:914a588a4a495a3f822664b9209a89b6c40561f4a96bf6212e7a7b58d22fdbcc

Observation b8a8c7c2-7c5d-40fd-868f-b8a91e39c510 · outbound

This paper cites LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory.

Online Neural Space Time Memory for Dynamic Novel View Synthesis LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T23:44:35.506156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.506156Z digest=sha256:1f835b365699cf24ef44844955152c8e55ab50a8b3cf87eb959f3a8f58d445be

Observation ee3f29e0-69da-4aa2-a0c7-e5bc5d9e760c · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Online Neural Space Time Memory for Dynamic Novel View Synthesis The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 65

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no resolver link, observed 2026-08-01T23:44:35.555405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.555405Z digest=sha256:a6a68560e2d12ffea4e6663893d6e295b6830009d95b417e5a730567ee473bb5

Observation 6bf29c6d-b03c-4c0a-8907-00d48ab3dac1 · outbound

This paper cites Test-Time Training Done Right.

Online Neural Space Time Memory for Dynamic Novel View Synthesis Test-Time Training Done Right

Reference 66

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unresolved
no resolver link, observed 2026-08-01T23:44:35.611828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.611828Z digest=sha256:ad46d5daef22314bfd018f1de18a47d4d1ac7fc88c8a61a6c545d95d8ccf8d93

Observation 65622144-03c4-4950-84c3-54b87e5a03d2 · outbound

This paper cites 7, 12, 14.

Online Neural Space Time Memory for Dynamic Novel View Synthesis 7, 12, 14

Reference 2025

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no resolver link, observed 2026-08-01T23:44:33.543090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.543090Z digest=sha256:ba4816e3ba5c410b831cd6aa07a52c6f71101e8fae17bb6fc600282a6eaccf76

Pith citing papers

No inbound Pith citation observations are available.