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Paper Citation Record · LEDGER

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields

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.

pith.paper-citation-record.v1
2508.06301 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:57:24.227951Z

measured 73 of 73 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:35:55.064011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:44:37.908562Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact6
  • verified fuzzy52
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b009415-f603-4717-b62c-e7e5fbd2d99a · outbound

This paper cites write newline.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-05T22:57:17.960894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:17.960894Z digest=sha256:8ecad906bbbbdb4c143726e347a93da4d58a27408364c9223b38c4dedbb7429b

Observation db87f8d0-a221-4529-a2e3-817e815835c0 · outbound

This paper cites Deep learning with differential privacy.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Deep learning with differential privacy

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.761275Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.025205Z digest=sha256:c09daa79307d29a853f0bd19635aa68999d25e35c16e8f8b457ce48fdfac8c1d

Observation 3b672ae2-581e-4ff4-9a95-0afd7527a87a · outbound

This paper cites A survey on federated learning: The journey from centralized to distributed on-site learning and beyond.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.748441Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.135481Z digest=sha256:4f053aa293b9930630331a992e8967ea06b80a29c25b67d859322aab6c3af8c0

Observation 60b33623-bf0e-440c-95cc-550667278826 · outbound

This paper cites Canonical fields: Self-supervised learning of pose-canonicalized neural fields.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Canonical fields: Self-supervised learning of pose-canonicalized neural fields

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.735670Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.238095Z digest=sha256:44c8c417e4291ac3089bc9831b48e2d1b50178e2b3c970baf2a9a57017b1db86

Observation 17b4c2ed-c187-4a7d-ba5f-88956100aae0 · outbound

This paper cites Federated learning: A survey on enabling technologies, protocols, and applications.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated learning: A survey on enabling technologies, protocols, and applications

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.722818Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.320167Z digest=sha256:5906ea86ff57c6043ff30977ee3e5d0e80356d0b75eacae134d99be8b850c8ce

Observation 19312ec0-9151-4c6c-b385-314eecdf75b5 · outbound

This paper cites Concentrated differential privacy: Simplifications, extensions, and lower bounds.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Concentrated differential privacy: Simplifications, extensions, and lower bounds

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.709967Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.369940Z digest=sha256:8ef76efc63cb5d5de45cae5c77ac1d5fa35d687f588ed3ed5ddf0ba3a3b6ac7e

Observation 18dd2dff-b986-4a5c-b050-80541d75fe5b · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ShapeNet: An Information-Rich 3D Model Repository

Reference 7

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unresolved
no resolver link, observed 2026-08-05T22:57:18.477235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:18.477235Z digest=sha256:c5197302e83f5dfc90e5f8e914e9f03a96a42598b13861b010a64939e8f33b80

Observation 13aa9c3a-da0d-417b-bf01-5d1f12c39412 · outbound

This paper cites pfl-bench: A comprehensive benchmark for personalized federated learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields pfl-bench: A comprehensive benchmark for personalized federated learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.697227Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.584847Z digest=sha256:287c126189d7e4fdce09912e370aebc96aab42732cc36323f3720b266aa07078

Observation 4bb30bd7-5842-4674-8bc5-baa029fcff43 · outbound

This paper cites Federated Meta-Learning with Fast Convergence and Efficient Communication.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 9

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unresolved
no resolver link, observed 2026-08-05T22:57:18.712993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:18.712993Z digest=sha256:aec0710ddfcfafdd3bde32ae85296d500fa9a5debdc4fc2b84aa8e36272388a9

Observation 2c430884-fd8a-49f2-aa7b-81091a4cda6e · outbound

This paper cites Transformers as meta-learners for implicit neural representations.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Transformers as meta-learners for implicit neural representations

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.683971Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.838852Z digest=sha256:48dce6ee603a824bc23d2d5c8c586d951ee8af835e020feb8fd77c6cf74669cb

Observation f2cc6dd2-7046-4f80-b07a-1d3f8c7c570f · outbound

This paper cites Learning continuous image representation with local implicit image function.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Learning continuous image representation with local implicit image function

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.671283Z

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.

source=arxiv_source observed=2026-08-05T22:57:18.935494Z digest=sha256:869a65d659423b876c807a940c55f41d845ed3e0018a6c1973df65ce2451703a

Observation 940bfd19-763a-4c47-a35d-6bf362c828cf · outbound

This paper cites Videoinr: Learning video implicit neural representation for continuous space-time super-resolution.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Videoinr: Learning video implicit neural representation for continuous space-time super-resolution

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.658157Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.049001Z digest=sha256:22faed2f0150da5d695da23b41978ba93b0dc650a539e8cbe98c736a74d3e06d

Observation 0214f839-ecdb-4b37-b6ce-28b652f64b40 · outbound

This paper cites Neural fields: theory and applications.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Neural fields: theory and applications

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.643668Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.134994Z digest=sha256:1b973ce6d36b5598522b207fd8d8fc0dbb2e21b971f9157618bbdca3521e5851

Observation d891d327-bd0f-4ba8-bbb1-1a44195bb2f2 · outbound

This paper cites Towards open federated learning platforms: Survey and vision from technical and legal perspectives, 2024.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.630921Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.231914Z digest=sha256:14bc2b0f7eaf23267d89d7ddd92d276b6514127ba84672dc01e0e40f35d60088

Observation 52278d80-d7f5-425b-863a-184c1e7dc71d · outbound

This paper cites From data to functa: Your data point is a function and you can treat it like one.

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

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unresolved
no resolver link, observed 2026-08-05T22:57:19.288863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:19.288863Z digest=sha256:92289e637e7ff725c08ea5185021219440724a2721b5595645474885ab57aa03

Observation e9712f98-8cd0-4fa5-8a65-e203e6e06bdb · outbound

This paper cites Concentrated Differential Privacy.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Concentrated Differential Privacy

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:19.355995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:19.355995Z digest=sha256:9e88e58cb8219d8e028d646ad62611cd8874fa9f939d37c31ac96e14d143889d

Observation ca17660e-f3a3-4341-96c0-215b728a1b97 · outbound

This paper cites Our data, ourselves: Privacy via distributed noise generation.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Our data, ourselves: Privacy via distributed noise generation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.617949Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.461919Z digest=sha256:8f273fcf05b3f8350867497085728f8b111272df284efe1e375a6f170ca48c62

Observation 3b4bfedd-2b4b-4dc6-b99b-9c0294b806fc · outbound

This paper cites On the convergence theory of gradient-based model-agnostic meta-learning algorithms.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On the convergence theory of gradient-based model-agnostic meta-learning algorithms

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.604861Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.538669Z digest=sha256:8a7ed507e829e91d6bf758a5ca1c43ce605f19bc422272cb4507ae78400b3d0f

Observation 5a820933-6338-4f19-b695-aff9386b6977 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.591673Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.629442Z digest=sha256:360292af95574bd39b479060f957889b9123f3c0fdb5186e747488a9ba88000b

Observation abdc7fd0-a43b-42ad-958b-1d74acab1f1b · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Model-agnostic meta-learning for fast adaptation of deep networks

Reference 20

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unresolved
no resolver link, observed 2026-08-05T22:57:19.688914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:19.688914Z digest=sha256:19aea2a9b46ad3357bd109b496288d63dbb7e8a95cb449f4081fcfdb7adf9dd2

Observation 98c4e790-3eb2-4014-a457-48088105045f · outbound

This paper cites Property inference attacks on fully connected neural networks using permutation invariant representations.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Property inference attacks on fully connected neural networks using permutation invariant representations

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.568872Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.776986Z digest=sha256:f5f903923b8d010ffcba356542346bb5174aadc0bd3ed675d9d4589f17a07508

Observation a8101b30-f730-41a2-818d-158bef8c8fca · outbound

This paper cites Privacy-preserving collaborative learning with automatic transformation search.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Privacy-preserving collaborative learning with automatic transformation search

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.555742Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.866712Z digest=sha256:d81616256030f83e8e3837bc78b0e20f24f89f4ec0589a407ba3e36b4eca9925

Observation 4e8963be-3c26-4e84-83e6-c324ec05dcf7 · outbound

This paper cites Generalizable neural fields as partially observed neural processes.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Generalizable neural fields as partially observed neural processes

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.542834Z

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.

source=arxiv_source observed=2026-08-05T22:57:19.954558Z digest=sha256:b0c9da3d6e577fb7c44387944c171cb768871afbc160c3dfa78f6818ad1f4a40

Observation 109f9e8b-8bbe-4bc7-8a0b-6599cce9a7e0 · outbound

This paper cites Bounding training data reconstruction in dp-sgd.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Bounding training data reconstruction in dp-sgd

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.530194Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.018319Z digest=sha256:2b4bb5e1ff4b99e7a6f88f06c7ffbf96befad05250852fb3f7399cc92a26b9b8

Observation 47360a25-884f-4279-989a-a33fadf064f7 · outbound

This paper cites Federated Neural Radiance Fields.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Neural Radiance Fields

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:57:25.673622Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.105884Z digest=sha256:39ad7b1276f30d681adff98de846a45d38f0b25cf28ee2ab8b18549c4c4f63f0

Observation a8fa09a3-3db8-46ba-b6d2-0f5cee7d9dca · outbound

This paper cites Fedavp: Augment local data via shared policy in federated learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Fedavp: Augment local data via shared policy in federated learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.517555Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.164580Z digest=sha256:8531c28e6dda37d53681311dce86abd725abf7955f7c14ae320e4b027f9c0197

Observation e6eb0ec8-604c-4601-bd4d-0dc4ba3a1f59 · outbound

This paper cites Provable generalization of overparameterized meta-learning trained with sgd.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Provable generalization of overparameterized meta-learning trained with sgd

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.504218Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.208719Z digest=sha256:0b1ebb97bc12e2f84ee25ee40d2bacbe98bca5951df7c70a63bbc6781841dd1f

Observation 81709d04-7007-40c7-9b57-9bb20048f1fb · outbound

This paper cites A survey on federated learning for resource-constrained iot devices.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields A survey on federated learning for resource-constrained iot devices

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.490758Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.300290Z digest=sha256:a774385cff6a229484c54c810abf54c2abfd2fc016830e50adc92f29784b59af

Observation fa7832d0-210e-47fd-8e39-871ed5599f6c · outbound

This paper cites FedExP: Speeding Up Federated Averaging via Extrapolation.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields FedExP: Speeding Up Federated Averaging via Extrapolation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:20.357303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:20.357303Z digest=sha256:e84d94c09ee09003df4d23260e80e8dbb48d1510cb51352d52323caca1653c1f

Observation 22a99a24-a87f-4580-b194-123d52feb0a0 · outbound

This paper cites Improving Federated Learning Personalization via Model Agnostic Meta Learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:20.389192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:20.389192Z digest=sha256:6e070d18e47793e6ec93fb2b63b48bef4838bf69ec3d36d80e06382b73105105

Observation c8db31e6-9b42-4913-b188-77d4a0759016 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Scaffold: Stochastic controlled averaging for federated learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.478037Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.447528Z digest=sha256:48aacde37561c1a43698b89237dbc9d7338ffcd15fc0c165fb4f8ef8c5af2d6e

Observation d2802eed-7c2a-466e-87c8-f701d164a660 · outbound

This paper cites Generalizable implicit neural representations via instance pattern composers.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Generalizable implicit neural representations via instance pattern composers

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.465430Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.511713Z digest=sha256:18c3da60949d37d1b58852a5fd1ba426911d12224a6a5e764cfe47240b635f81

Observation 905ba1ed-c6f2-43b5-b28f-37ecfba8b228 · outbound

This paper cites Communication-efficient federated learning with accelerated client gradient.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Communication-efficient federated learning with accelerated client gradient

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.452703Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.606855Z digest=sha256:bd74ce5a4658eda268f09f4eb08730b0b7fd579e05d7711027a0d7d4079409a1

Observation 786f5ed4-890a-434f-b845-f9dc6accaaaa · outbound

This paper cites Scalable neural video representations with learnable positional features.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Scalable neural video representations with learnable positional features

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.439301Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.697478Z digest=sha256:906fc4d20d04a58152aa13ba35b80960d66d61fe3344abcc4acabd94163d97a1

Observation e2e7a3b3-6ebc-43eb-a9f1-d0dc3f226d27 · outbound

This paper cites Locality-aware generalizable implicit neural representation.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Locality-aware generalizable implicit neural representation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.426564Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.778631Z digest=sha256:816c38c36fd1c30c715808198676a1e6e552d03c3fb09928b904e7ee6800dd8c

Observation b51bbbba-038f-4f44-a8bd-874385204e13 · outbound

This paper cites Differentially private meta-learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Differentially private meta-learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.413671Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.853346Z digest=sha256:8f6a25cdf77852db5eeb453137353f551be2817af5ed2a74c62d9b72ccc57b0c

Observation cec17f58-cd38-4f95-9372-9b0bc54de982 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated learning on non-iid data silos: An experimental study

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.400493Z

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.

source=arxiv_source observed=2026-08-05T22:57:20.927942Z digest=sha256:3a39efd6f29ec6517352ccca128c4845c19a5e313360e1174ca3464bf154f378

Observation ae121b22-5102-4035-a59c-fa7c1ce7c0ab · outbound

This paper cites Meta-learning with adjoint methods.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Meta-learning with adjoint methods

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.387838Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.020200Z digest=sha256:277ab709434bd2772549b39e0e7ecb8f30ac88c3fba506d1f02af03139b352ca

Observation 4e5f93fc-236d-4796-a4fa-1bf8ddd00f45 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On the Convergence of FedAvg on Non-IID Data

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:21.113332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:21.113332Z digest=sha256:1568299d53f0e2c4979c43826f610f8000d9799c34d8c8993913a8afd098774b

Observation 60e5af41-e77c-4206-8a4c-fee289dfad3b · outbound

This paper cites Meta-SGD: Learning to Learn Quickly for Few-Shot Learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:21.203812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:21.203812Z digest=sha256:43584ec3190b589c7a66c502e88fc535eec518d21c0fa638060ed7149ff0c58a

Observation 548e2d2d-8803-4edc-a75f-7aefe5cff2e4 · outbound

This paper cites Av-nerf: Learning neural fields for real-world audio-visual scene synthesis.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Av-nerf: Learning neural fields for real-world audio-visual scene synthesis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.374916Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.295661Z digest=sha256:d1eab09db17bd1209d2aaab64e2f86692c5cb19c6e1ddf0271bd140b8e08deaa

Observation 1a04e290-1de1-4e42-b29b-f653a1b6324b · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Communication-efficient learning of deep networks from decentralized data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.362022Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.389912Z digest=sha256:cb090381ff3f756f6826c6572c370b66787d88b75f1b6a2cedbad171c1ecd0ff

Observation 1f88c8a7-01a4-45f9-9f2d-edfabb6b07e0 · outbound

This paper cites Golfdb: A video database for golf swing sequencing.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Golfdb: A video database for golf swing sequencing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.348504Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.481392Z digest=sha256:7d5888212afd5d1c1880f245e1ff9e19fdde1d8ca8067a9787569a702c957b99

Observation 77193fb6-6cbc-4122-a3ed-2eb123183c25 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.333965Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.570540Z digest=sha256:0d256bee48a6f01e7399737c5571751f61292f9016677253e116eec12a626899

Observation eabff3a6-6a5a-43f2-a900-377780927cb7 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On First-Order Meta-Learning Algorithms

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:21.662760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:21.662760Z digest=sha256:b20dd664154644d96f9e88034ec8fe055374893c10331caad5280d6b6ad57f49

Observation 83c0d1d1-45c4-4a62-a14e-5be9a90fc713 · outbound

This paper cites Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.320686Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.747035Z digest=sha256:d560e46e17322c189255bde3fc5dfa0c6e448bfc32d1500ddeed4f82f450d60e

Observation f2f4cced-a482-402d-b1ec-d7fec3d88d56 · outbound

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

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Deepsdf: Learning continuous signed distance functions for shape representation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.307734Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.803384Z digest=sha256:ece3f07ba71acd724a5e0bbc26d0a30152669c4230c67c3dfbea0b291d544e52

Observation 9c41a2cb-cd88-41be-8c47-1b34dc6f39b6 · outbound

This paper cites Miner: Multiscale implicit neural representation.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Miner: Multiscale implicit neural representation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.294247Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.864743Z digest=sha256:75081edb8c3e471fb6033f75cec8f675b540733f0885d1d2ca2cc93633c5999c

Observation b7b8e087-fa3b-4770-b22f-23c1a415fc7d · outbound

This paper cites INR-V: A Continuous Representation Space for Video-based Generative Tasks.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields INR-V: A Continuous Representation Space for Video-based Generative Tasks

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:57:25.372286Z

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.

source=arxiv_source observed=2026-08-05T22:57:21.951751Z digest=sha256:158dd9fbf88ade024007ef24400670feb7f84bdf2592405e6a637d39abdc72e8

Observation 46d3b678-2639-4231-82da-6e8f312c1d75 · outbound

This paper cites Petface: A large-scale dataset and benchmark for animal identification.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Petface: A large-scale dataset and benchmark for animal identification

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.281058Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.042779Z digest=sha256:fd27bc952ff014e37cb4561f41b71c25d0a771a52a48404cf753fb2a21cad4e6

Observation 73aa6ad3-8bf9-4401-a0bf-6601b67704dd · outbound

This paper cites Membership inference attacks against machine learning models.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Membership inference attacks against machine learning models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:22.135961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:22.135961Z digest=sha256:a5116abe6daaf4f2b38c0d2d4e749c72f53dcf64492a01ca8401c2ea371a58ad

Observation 96624703-9dd1-4674-a764-380ad8bd7115 · outbound

This paper cites Implicit neural representations with periodic activation functions.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Implicit neural representations with periodic activation functions

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.258105Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.247990Z digest=sha256:fba2e2fb9abf6f1d98f8cda92219825db1c40d56d258dd67669963c4cd10882f

Observation 63719769-9229-4e7b-9661-c51fc739cdcb · outbound

This paper cites Adversarial generation of continuous images.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Adversarial generation of continuous images

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.245186Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.339881Z digest=sha256:1a778027e5af57cda0610a02c227c7fcdc9e64e5e1b229d5c75fef37bde6dd0b

Observation ad7b31c0-93eb-4101-a4cf-9bc0aedf1768 · outbound

This paper cites Inras: Implicit neural representation for audio scenes.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Inras: Implicit neural representation for audio scenes

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.232205Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.410437Z digest=sha256:ce2e8b055189849e97054d145e41a3f91bd9a1c697310303a0cbab5aa1c1d9d0

Observation 77a99de0-d806-49e2-b04b-201fccb40d50 · outbound

This paper cites Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:57:25.133646Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.499107Z digest=sha256:9833b750acdc012eeb8a81f994d133e7c3ef85c63af04ea192480c0103a6e93b

Observation 0c04ed49-8cf9-44d3-8580-75a84b2a9fbe · outbound

This paper cites Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:22.574726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:22.574726Z digest=sha256:c19bd19d828052c7c969e5c06320b3d99ecb5dcb9f042bde04d38069f1f274dd

Observation 408c3c64-a77f-4e4b-af3c-fb57e0dc82ca · outbound

This paper cites Learning large-scale neural fields via context pruned meta-learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Learning large-scale neural fields via context pruned meta-learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.219557Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.711588Z digest=sha256:6a67d9e931d0ee57812646e5a6efef0a6fd44039a0b010086be0e157f5601dfc

Observation f3624a2f-021d-44a4-9b96-b7ef3eed516a · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Fourier features let networks learn high frequency functions in low dimensional domains

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.206415Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.795653Z digest=sha256:1c2b43d93ef86a59fd3efffb9ad1c0024932dcc6c097dae38221108fe87be052

Observation 06e259fa-2a1b-4326-83cd-32f099ce34c7 · outbound

This paper cites Learned initializations for optimizing coordinate-based neural representations.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Learned initializations for optimizing coordinate-based neural representations

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.193341Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.899213Z digest=sha256:377299f1f32cd60d449a09bec0800d3b129134b889967cffc603713f6f19519e

Observation 8052f333-7cb0-455c-9c94-8cab6a223754 · outbound

This paper cites DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:57:24.902610Z

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.

source=arxiv_source observed=2026-08-05T22:57:22.997151Z digest=sha256:3c2b785ac6468aeb63072c80da65234e7f0e4c756bda5b0133376d8837f3a223

Observation 4a3a7bc9-0d98-4d74-be35-df19082b16a3 · outbound

This paper cites State of the art on neural rendering.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields State of the art on neural rendering

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.179386Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.091048Z digest=sha256:758b544bf9bf15c76c87cfc6f3dc87170405aa4c3aa34ea0ab507127fbed876d

Observation 00971b7a-e39f-4940-a466-bc0a5e0e1f10 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimization.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Tackling the objective inconsistency problem in heterogeneous federated optimization

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.163361Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.206472Z digest=sha256:be78347cf538b41f28ecc33b3bd0354fd499da8919db2a605b081edbc2281923

Observation 8f0d27c0-64e5-4068-8d47-8b0197c8f2a9 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Image quality assessment: from error visibility to structural similarity

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.149283Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.282990Z digest=sha256:5cefca5770184e5b47870776c035f8b187eb39fefb3f028d27dd26074c403918

Observation 0489eb62-d09b-40e2-8ec2-3ded52afbd88 · outbound

This paper cites Yang, Farhad Farokhi, Shi Jin, Tony Q.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Yang, Farhad Farokhi, Shi Jin, Tony Q

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.135540Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.296193Z digest=sha256:f6d87e8f88e93c0364ee169b6d0df959fb8a3bd58f5835d2d1a9cadc0b249385

Observation 76847013-b37f-4528-9f01-d23d093e7445 · outbound

This paper cites FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:57:24.720547Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.459006Z digest=sha256:037d1306a025115c58c3329351363be5e79c20d7f6aa4316af93eb1a5290847f

Observation e1c8002d-c235-4cfe-aca8-ccad53cee0cb · outbound

This paper cites Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.121699Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.589220Z digest=sha256:d2a776dabf33a32bd9186298ec838fb3f23a20b15df9037d62340e21eeea48c6

Observation a650333b-70c8-47d1-a230-384dcdaf76ea · outbound

This paper cites Gradient obfuscation gives a false sense of security in federated learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Gradient obfuscation gives a false sense of security in federated learning

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.108207Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.754340Z digest=sha256:bd8246bc0e1bc945da284fe31bf22d32949b713dad636557a17c531b66128f7e

Observation 7dfe9eb0-9263-4c08-b8a9-ed378ff6709d · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields The unreasonable effectiveness of deep features as a perceptual metric

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T22:57:23.855048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:57:23.855048Z digest=sha256:b1aab83b5a1ce6cac051858f07fe75052429ac272dac4cad9d4ba1305ba3114d

Observation 80da995d-311f-4df6-9b32-e97a821778ce · outbound

This paper cites Federated Neural Radiance Field for Distributed Intelligence.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Neural Radiance Field for Distributed Intelligence

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:57:24.504363Z

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.

source=arxiv_source observed=2026-08-05T22:57:23.963560Z digest=sha256:0f47682e7659face57c6375fa28909a87ac6c80f8a383519fbd9e5b36c4c1e51

Observation c23badd9-4f95-4edf-ba42-4beba0a83345 · outbound

This paper cites Task-level differentially private meta learning.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Task-level differentially private meta learning

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.085036Z

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.

source=arxiv_source observed=2026-08-05T22:57:24.056667Z digest=sha256:2369638640aac7b40ba6449c1f7508d9c6b6835be5506aab1057454dc1b79fc4

Observation 3bb87842-5aad-4951-8760-07e6f4ec8fbe · outbound

This paper cites Facescape: 3d facial dataset and benchmark for single-view 3d face reconstruction.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Facescape: 3d facial dataset and benchmark for single-view 3d face reconstruction

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.071209Z

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.

source=arxiv_source observed=2026-08-05T22:57:24.159270Z digest=sha256:ae1f99dbee54d7896dead3312411b3e1ce2026b1971b6c1d5111544871e8070c

Observation 520d1e33-c002-488a-becd-3e9a17bbc629 · outbound

This paper cites Mofanerf: Morphable facial neural radiance field.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Mofanerf: Morphable facial neural radiance field

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:57:26.021117Z

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.

source=arxiv_source observed=2026-08-05T22:57:24.227951Z digest=sha256:45b4e34e4d13ea630696ec30e29f93933827775c54f357d3840662c52d5d3b8f

Pith citing papers

Observation 1a73afed-237f-465e-a36d-d0d58952024c · inbound

FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization cites this paper.

FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:44:37.910099Z

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.

source=pdf_text observed=2026-06-30T09:35:55.064011Z digest=sha256:191c29f68edb6bb2f1a00fdcdcb7fcf0c495c0c1d3636821c9d88a58cf8f85cb