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Paper Citation Record · LEDGER

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.16668.

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

pith.paper-citation-record.v1
2507.16668 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:07:39.492029Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy15
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1587cfd3-35ae-479c-98e2-273ecf0c47ae · outbound

This paper cites Forecasting energy power consumption using federated learning in edge computing devices,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Forecasting energy power consumption using federated learning in edge computing devices,

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:07:39.893990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2ac44241-c61e-489b-a812-3149c8f291c0 · outbound

This paper cites Comparative analysis of machine learning techniques for non-intrusive load monitoring,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Comparative analysis of machine learning techniques for non-intrusive load monitoring,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:42.654495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:37.802237Z digest=sha256:1c1e3f103089261769505d424da0ad3ce3c9a1e02e022c31703aa26da278fefb

Observation 9fc7fab6-aa19-46d2-a66a-398b89f11435 · outbound

This paper cites Focca: Fog– cloud continuum architecture for data imputation and load balancing in smart grids,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Focca: Fog– cloud continuum architecture for data imputation and load balancing in smart grids,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:42.467196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.123344Z digest=sha256:b050c0545c310cf2ad5200df451da380a3244847051a841352159386961becab

Observation b2ff8895-8d91-419c-8c9a-19201c33e116 · outbound

This paper cites Hierarchical scheduling mechanisms in multi-level fog computing,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Hierarchical scheduling mechanisms in multi-level fog computing,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:42.279881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.288248Z digest=sha256:613a36b95358319261dca6a7e8db00d305d6b278150a80bd907de4b33ca2c5ce

Observation 9e0bb1d1-cf28-4ec3-8231-e2061a8b53d0 · outbound

This paper cites Sla-based task offloading for energy consumption constrained workflows in fog computing,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Sla-based task offloading for energy consumption constrained workflows in fog computing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:42.156066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.475055Z digest=sha256:c3f375c1298e121e8e3ec9c081281b8146b7f46b47d466435a0b152d585572eb

Observation f82b2b10-8788-40dd-8bcd-5a33f7700eb3 · outbound

This paper cites On incen- tivizing resource allocation and task offloading for cooperative edge computing,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture On incen- tivizing resource allocation and task offloading for cooperative edge computing,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.969853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.538588Z digest=sha256:2c62824e18c9e9d872d51fc7910d7625c902dd7cd2b48e9d7a36fac0dc7e9c63

Observation 0bab586c-c54f-4bcb-8f0f-3ee0aee244df · outbound

This paper cites A survey on smart grid technologies and applications,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture A survey on smart grid technologies and applications,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.779725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.636535Z digest=sha256:2577c08a925cc1d307ea2a19487d293470aa6c42ccd0c25ab5552f816cff31c6

Observation 5177d4d4-51dd-4e25-bf11-6531ebdccee1 · outbound

This paper cites A self-stabilizing and auto-provisioning orchestration for microservices in edge-cloud con- tinuum,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture A self-stabilizing and auto-provisioning orchestration for microservices in edge-cloud con- tinuum,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.581042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.697307Z digest=sha256:008b99bcef0dca7d0761896a2c7067b227b79e99b85dbc7120ebf5847f87f9f2

Observation 7b9cc8b2-1fe1-48d3-b098-93e2ad3eda03 · outbound

This paper cites Fog computing model to orchestrate the consumption and production of energy in mi- crogrids,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Fog computing model to orchestrate the consumption and production of energy in mi- crogrids,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.349625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.798231Z digest=sha256:eaf796b9b453404e797d22147f51a3a4b3f3da16683147697a61dead6037e9b6

Observation c7590ee8-4401-4037-aa04-22f2e301df75 · outbound

This paper cites A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:07:39.662096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.887495Z digest=sha256:28c72ee90293b498a6c8d5cb651ac13ed1cca8ac78d3e0721ed2260340e43052

Observation c88b12a6-f58b-4664-a5ad-0e78db544c94 · outbound

This paper cites Energy-aware resource management in fog computing for iot applications: A review, taxonomy, and future directions,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Energy-aware resource management in fog computing for iot applications: A review, taxonomy, and future directions,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.151002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:38.965312Z digest=sha256:ea03997734940852e7835ea6233de19ead8e3c11d4e30aec06f3571ae1443a21

Observation ffefb41e-263f-47d8-ad3f-ac8bc8b12ff7 · outbound

This paper cites Fog computing for smart grid systems in the 5g environment: Chal- 12 lenges and solutions,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Fog computing for smart grid systems in the 5g environment: Chal- 12 lenges and solutions,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:40.983082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:39.074988Z digest=sha256:a511c5255d183991d2c9cb4cd1b254d449057d69f67d669940e0bb0606f699ee

Observation ee268756-3990-4060-aa56-65c36da92f37 · outbound

This paper cites Lbatsm: Load- balancing aware task selection and migration ap- proach in fog computing environment,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Lbatsm: Load- balancing aware task selection and migration ap- proach in fog computing environment,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:40.819729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:39.081504Z digest=sha256:572e296d704b518ca42ce548ad08f544af2c873e6b3b632edf52fb0a3383cecb

Observation de5bb98a-c280-4540-a699-54e89f37c3f1 · outbound

This paper cites Fdpr: A novel fog data prediction and recovery using efficient dl in iot net- works,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Fdpr: A novel fog data prediction and recovery using efficient dl in iot net- works,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:40.669088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:39.148431Z digest=sha256:2d7a0f1cb5752003dcb9d5d0ad5a9fcf72eb5fffaab6c8c8cafc0d9f0c27a489

Observation 046347a6-e6fc-4965-a973-222a7d08b2f7 · outbound

This paper cites An integrated deep learning and edge computing framework for intelli- gent energy management in iot-based smart cities,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture An integrated deep learning and edge computing framework for intelli- gent energy management in iot-based smart cities,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:40.448201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:39.251814Z digest=sha256:fb20de1f68f931593159e0e2191dd97e3958ede327b167be0b0f23f285ca4846

Observation f1ecb762-2b26-4a18-bd0f-bde276da4425 · outbound

This paper cites Optimal energy- efficient resource allocation and fault tolerance scheme for task offloading in iot-fog computing net- works,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Optimal energy- efficient resource allocation and fault tolerance scheme for task offloading in iot-fog computing net- works,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:40.273451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:39.325050Z digest=sha256:bde749b6921ba03968a280d6e5cba54d63df891e96553cecda3e66a16ab811ae

Observation 11c15c36-ace8-4124-9f35-75a8aa7a8ed1 · outbound

This paper cites Workload allocation in iot-fog-cloud ar- chitecture using a multi-objective genetic algo- rithm,.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Workload allocation in iot-fog-cloud ar- chitecture using a multi-objective genetic algo- rithm,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:40.083112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:07:39.409268Z digest=sha256:7712fe3ac186d6e069d7a22e7a3da990d1f8f72b3ca6b76d64913945081feea3

Observation ba2cd8c3-5d4b-4c83-a64b-04dacc1cd2fb · outbound

This paper cites Energy-Aware Deep Learning on Resource-Constrained Hardware.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Energy-Aware Deep Learning on Resource-Constrained Hardware

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:07:39.492029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:39.492029Z digest=sha256:2f57621f81f3074a9570eaa7a60dee12ff633c18ba8f5a7551c6cf60a11a705c

Pith citing papers

No inbound Pith citation observations are available.