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Paper Citation Record · LEDGER

Online Neural Space Time Memory for Dynamic Novel View Synthesis

As of 21 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

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

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

Source: cited_works

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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source=pdf_text observed=2026-08-01T23:44:31.839577Z digest=sha256:c258822f6277a7c586cc648842a7de06eb34290f8c6ee477415db3acef3a79e1

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:b253f4e2d2658b13ceaf9688d5f4f77a4314fbf5a4bc542f0d58f8684c6c2391

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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source=pdf_text observed=2026-08-01T23:44:32.089345Z digest=sha256:9d218308c11a2e70a410717ee9de6c37c320c04f9fbbb2205c7b5da5b13930a1

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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source=pdf_text observed=2026-08-01T23:44:32.134576Z digest=sha256:faccce84ba33be6bdab508e380b4d115f5aa9b301cb52b1a0bc3d127867f5593

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=sha256:9e2671249b7774aa253cba2e791c1050dd36292d42d07e9365f6337367402514

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T23:44:32.391180Z digest=sha256:afba7c3793573ea2e4b8940b114c1adc1cbaf73f9f8ead330a5355e849300278

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:32.468029Z digest=sha256:b9ea3a7c56d575599e3809afca10f048cafff63ba5ad8f1cd9adc54b44ef5eec

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T23:44:32.534518Z digest=sha256:703812bbc96573f21127f61500454abd3ab732544526030c694987f4300c5408

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T23:44:32.616328Z digest=sha256:a9a00507915de2830c5b3a57b0e286ee2d10cc510ba2afd74abc1e76c0bd7446

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=sha256:7cf9b2fff32f2c2bb5f4b47f1ac13c10a2195c750a758c28bae9919d5ff60f49

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:bddd48370d3f50e49638db2392f42050233253b9b91d4437738c944db7719b1b

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:b923e5aba90fdb8cf5f0fb11d4ab4f75f339499f5c6810ea4ba2ec0c70e1e584

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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unresolved
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:fcf4a86e3eb4fb64aa107257d8b9f1b0b5b4bd89036cceae9449b8f35b1fed31

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=sha256:6b39f6c40de8255f3560026e032a4b037e9f0972a67b6e1995d5b1806c4e1461

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

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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=sha256:6ed200f5d87c75df5c94fa24987340f2658a917496ac4434932985dd1480ed19

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

Resolution
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=sha256:6d1ee673a2b580671a8ff169dce76c32e138d7f856a95bba2e2e603700765bd3

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

Resolution
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:e0046c70df29243059250df3644b8cad76a01f32db415b978387c0bd1b326761

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=sha256:921a64e23771f76af4fb24f5c4d4b06d52e5fa56eb9b2c000bf08ce0d6b2bb1a

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:ef90ecf34c12d6cc1da4109199143e04eece3be03db1d99b9ce5e3962ceb405c

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

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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=sha256:2b43feb2fc908fccb16f109c6454c7475be68096204c994c2851e0d720631458

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

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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:c8821fd3838ce0439c093fd8224809da795af69a1b128c0d6f7ed5d66fa51a69

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=sha256:119f8101fca65591ecdbdbe4abb4a31ad7b336c800c07152724750726d69776e

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=sha256:20f351d84036e147ddd4f57cd0ac1e6b0e357da1eb67dc75faac8437bd898f3b

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=sha256:76301d45109f34bb78ccd068968668f22f70b57f2681db433d40df5dc0bb7baf

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

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Resolution
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=sha256:1b6112f195e10f08eb9a547ad092f3af2a2caa52ec8b293f16aea01a9a00ad4c

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

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no resolver link, observed 2026-08-01T23:44:34.944313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:34.944313Z digest=sha256:a6a0b126b59d0df21d88a2f0a8b0855576b5b61e21f6486373e0530bec89fdb9

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

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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:bd551866904613f93a0b8dc18ad12956583db2461a643086d3506c395e19727e

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

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no resolver link, observed 2026-08-01T23:44:35.143351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:35.143351Z digest=sha256:b805adf70bebea17782c4b74e262d4ab01832d926f239d859a6f9dc6b5846098

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

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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:f4574dd286a06bc3c67757459fca264b70aebe87616a66fd3600dab539b9f454

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

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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=sha256:218c721bd0c6a3db4bba61f1c441ef9ec5e43d2b37e42150d36f13ba68e45d12

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

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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=sha256:83d62cd2709c35cb249e2891db203a1553aedd8d450c1a2a7e49b0668c8aab5f

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=sha256:924f389780d56b2dbdb3f9ef00d09a1fa6ecffa7564e7412e58a15d1eb95ab07

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

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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:dfb0e88f6e00932d43455efbfc530b5a729f8565640701d60b94917e013384a0

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:e9bc632b1d520d19293f400608b52aad0f27325294cbedba6635f37629ec0f39

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=sha256:890e55e0413fc08cecdbc7b0395dc83e08d416e9a1501920d0d755829e3a8da5

Pith citing papers

No inbound Pith citation observations are available.