Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:57:24.227951Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2508.06301.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:57:24.227951Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T09:35:55.064011Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T09:44:37.908562Z
72 of 72 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1b009415-f603-4717-b62c-e7e5fbd2d99a · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields write newline
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db87f8d0-a221-4529-a2e3-817e815835c0 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Deep learning with differential privacy
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3b672ae2-581e-4ff4-9a95-0afd7527a87a · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields A survey on federated learning: The journey from centralized to distributed on-site learning and beyond
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 60b33623-bf0e-440c-95cc-550667278826 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Canonical fields: Self-supervised learning of pose-canonicalized neural fields
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 17b4c2ed-c187-4a7d-ba5f-88956100aae0 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated learning: A survey on enabling technologies, protocols, and applications
Reference 5
Source-reported events for the cited work
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Observation 19312ec0-9151-4c6c-b385-314eecdf75b5 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Concentrated differential privacy: Simplifications, extensions, and lower bounds
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 18dd2dff-b986-4a5c-b050-80541d75fe5b · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ShapeNet: An Information-Rich 3D Model Repository
Reference 7
Source-reported events for the cited work
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Observation 13aa9c3a-da0d-417b-bf01-5d1f12c39412 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields pfl-bench: A comprehensive benchmark for personalized federated learning
Reference 8
Source-reported events for the cited work
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Observation 4bb30bd7-5842-4674-8bc5-baa029fcff43 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Meta-Learning with Fast Convergence and Efficient Communication
Reference 9
Source-reported events for the cited work
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Observation 2c430884-fd8a-49f2-aa7b-81091a4cda6e · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Transformers as meta-learners for implicit neural representations
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f2cc6dd2-7046-4f80-b07a-1d3f8c7c570f · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Learning continuous image representation with local implicit image function
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 940bfd19-763a-4c47-a35d-6bf362c828cf · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Videoinr: Learning video implicit neural representation for continuous space-time super-resolution
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0214f839-ecdb-4b37-b6ce-28b652f64b40 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Neural fields: theory and applications
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d891d327-bd0f-4ba8-bbb1-1a44195bb2f2 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Towards open federated learning platforms: Survey and vision from technical and legal perspectives, 2024
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 52278d80-d7f5-425b-863a-184c1e7dc71d · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields From data to functa: Your data point is a function and you can treat it like one
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9712f98-8cd0-4fa5-8a65-e203e6e06bdb · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Concentrated Differential Privacy
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca17660e-f3a3-4341-96c0-215b728a1b97 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Our data, ourselves: Privacy via distributed noise generation
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3b4bfedd-2b4b-4dc6-b99b-9c0294b806fc · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On the convergence theory of gradient-based model-agnostic meta-learning algorithms
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a820933-6338-4f19-b695-aff9386b6977 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation abdc7fd0-a43b-42ad-958b-1d74acab1f1b · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Model-agnostic meta-learning for fast adaptation of deep networks
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98c4e790-3eb2-4014-a457-48088105045f · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Property inference attacks on fully connected neural networks using permutation invariant representations
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a8101b30-f730-41a2-818d-158bef8c8fca · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Privacy-preserving collaborative learning with automatic transformation search
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4e8963be-3c26-4e84-83e6-c324ec05dcf7 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Generalizable neural fields as partially observed neural processes
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 109f9e8b-8bbe-4bc7-8a0b-6599cce9a7e0 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Bounding training data reconstruction in dp-sgd
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 47360a25-884f-4279-989a-a33fadf064f7 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Neural Radiance Fields
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a8fa09a3-3db8-46ba-b6d2-0f5cee7d9dca · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Fedavp: Augment local data via shared policy in federated learning
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e6eb0ec8-604c-4601-bd4d-0dc4ba3a1f59 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Provable generalization of overparameterized meta-learning trained with sgd
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 81709d04-7007-40c7-9b57-9bb20048f1fb · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields A survey on federated learning for resource-constrained iot devices
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fa7832d0-210e-47fd-8e39-871ed5599f6c · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 29
Source-reported events for the cited work
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Observation 22a99a24-a87f-4580-b194-123d52feb0a0 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Improving Federated Learning Personalization via Model Agnostic Meta Learning
Reference 30
Source-reported events for the cited work
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Observation c8db31e6-9b42-4913-b188-77d4a0759016 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Scaffold: Stochastic controlled averaging for federated learning
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d2802eed-7c2a-466e-87c8-f701d164a660 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Generalizable implicit neural representations via instance pattern composers
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 905ba1ed-c6f2-43b5-b28f-37ecfba8b228 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Communication-efficient federated learning with accelerated client gradient
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 786f5ed4-890a-434f-b845-f9dc6accaaaa · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Scalable neural video representations with learnable positional features
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e2e7a3b3-6ebc-43eb-a9f1-d0dc3f226d27 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Locality-aware generalizable implicit neural representation
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b51bbbba-038f-4f44-a8bd-874385204e13 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Differentially private meta-learning
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cec17f58-cd38-4f95-9372-9b0bc54de982 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated learning on non-iid data silos: An experimental study
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ae121b22-5102-4035-a59c-fa7c1ce7c0ab · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Meta-learning with adjoint methods
Reference 38
Source-reported events for the cited work
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Observation 4e5f93fc-236d-4796-a4fa-1bf8ddd00f45 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On the Convergence of FedAvg on Non-IID Data
Reference 39
Source-reported events for the cited work
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Observation 60e5af41-e77c-4206-8a4c-fee289dfad3b · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Reference 40
Source-reported events for the cited work
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Observation 548e2d2d-8803-4edc-a75f-7aefe5cff2e4 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Av-nerf: Learning neural fields for real-world audio-visual scene synthesis
Reference 41
Source-reported events for the cited work
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Observation 1a04e290-1de1-4e42-b29b-f653a1b6324b · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Communication-efficient learning of deep networks from decentralized data
Reference 42
Source-reported events for the cited work
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Observation 1f88c8a7-01a4-45f9-9f2d-edfabb6b07e0 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Golfdb: A video database for golf swing sequencing
Reference 43
Source-reported events for the cited work
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Observation 77193fb6-6cbc-4122-a3ed-2eb123183c25 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Nerf: Representing scenes as neural radiance fields for view synthesis
Reference 44
Source-reported events for the cited work
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Observation eabff3a6-6a5a-43f2-a900-377780927cb7 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On First-Order Meta-Learning Algorithms
Reference 45
Source-reported events for the cited work
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Observation 83c0d1d1-45c4-4a62-a14e-5be9a90fc713 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f2f4cced-a482-402d-b1ec-d7fec3d88d56 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Deepsdf: Learning continuous signed distance functions for shape representation
Reference 47
Source-reported events for the cited work
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Observation 9c41a2cb-cd88-41be-8c47-1b34dc6f39b6 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Miner: Multiscale implicit neural representation
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7b8e087-fa3b-4770-b22f-23c1a415fc7d · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields INR-V: A Continuous Representation Space for Video-based Generative Tasks
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46d3b678-2639-4231-82da-6e8f312c1d75 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Petface: A large-scale dataset and benchmark for animal identification
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 73aa6ad3-8bf9-4401-a0bf-6601b67704dd · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Membership inference attacks against machine learning models
Reference 51
Source-reported events for the cited work
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Observation 96624703-9dd1-4674-a764-380ad8bd7115 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Implicit neural representations with periodic activation functions
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 63719769-9229-4e7b-9661-c51fc739cdcb · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Adversarial generation of continuous images
Reference 53
Source-reported events for the cited work
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Observation ad7b31c0-93eb-4101-a4cf-9bc0aedf1768 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Inras: Implicit neural representation for audio scenes
Reference 54
Source-reported events for the cited work
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Observation 77a99de0-d806-49e2-b04b-201fccb40d50 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields
Reference 55
Source-reported events for the cited work
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Observation 0c04ed49-8cf9-44d3-8580-75a84b2a9fbe · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning
Reference 56
Source-reported events for the cited work
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Observation 408c3c64-a77f-4e4b-af3c-fb57e0dc82ca · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Learning large-scale neural fields via context pruned meta-learning
Reference 57
Source-reported events for the cited work
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Observation f3624a2f-021d-44a4-9b96-b7ef3eed516a · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Fourier features let networks learn high frequency functions in low dimensional domains
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 06e259fa-2a1b-4326-83cd-32f099ce34c7 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Learned initializations for optimizing coordinate-based neural representations
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8052f333-7cb0-455c-9c94-8cab6a223754 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4a3a7bc9-0d98-4d74-be35-df19082b16a3 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields State of the art on neural rendering
Reference 61
Source-reported events for the cited work
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Observation 00971b7a-e39f-4940-a466-bc0a5e0e1f10 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Tackling the objective inconsistency problem in heterogeneous federated optimization
Reference 62
Source-reported events for the cited work
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Observation 8f0d27c0-64e5-4068-8d47-8b0197c8f2a9 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Image quality assessment: from error visibility to structural similarity
Reference 63
Source-reported events for the cited work
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Observation 0489eb62-d09b-40e2-8ec2-3ded52afbd88 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Yang, Farhad Farokhi, Shi Jin, Tony Q
Reference 64
Source-reported events for the cited work
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Observation 76847013-b37f-4528-9f01-d23d093e7445 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Reference 65
Source-reported events for the cited work
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Observation e1c8002d-c235-4cfe-aca8-ccad53cee0cb · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a650333b-70c8-47d1-a230-384dcdaf76ea · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Gradient obfuscation gives a false sense of security in federated learning
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7dfe9eb0-9263-4c08-b8a9-ed378ff6709d · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields The unreasonable effectiveness of deep features as a perceptual metric
Reference 68
Source-reported events for the cited work
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Observation 80da995d-311f-4df6-9b32-e97a821778ce · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Neural Radiance Field for Distributed Intelligence
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c23badd9-4f95-4edf-ba42-4beba0a83345 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Task-level differentially private meta learning
Reference 70
Source-reported events for the cited work
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Observation 3bb87842-5aad-4951-8760-07e6f4ec8fbe · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Facescape: 3d facial dataset and benchmark for single-view 3d face reconstruction
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 520d1e33-c002-488a-becd-3e9a17bbc629 · outbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Mofanerf: Morphable facial neural radiance field
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a73afed-237f-465e-a36d-d0d58952024c · inbound
FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.