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Paper Citation Record · LEDGER

RIFLES: Resource-effIcient Federated LEarning via Scheduling

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.13169.

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

pith.paper-citation-record.v1
2505.13169 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:25:26.474422Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 642015c2-e5d9-438b-9612-0d6657df4682 · outbound

This paper cites Performance analysis of smartphone-sensor behavior for human activity recognition,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Performance analysis of smartphone-sensor behavior for human activity recognition,

Reference 1

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Source-reported events for the cited work

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Observation e0d88eb1-4d58-4c1a-b523-a211b1bc0ca4 · outbound

This paper cites Human activity recognition via hybrid deep learning based model,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Human activity recognition via hybrid deep learning based model,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8c32e9b1-f3ba-4f69-89c6-afa26f0fe54a · outbound

This paper cites Patient and public willingness to share personal health data for third-party or secondary uses: systematic review,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Patient and public willingness to share personal health data for third-party or secondary uses: systematic review,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0d9d802c-3966-4bce-9829-345a7130eda0 · outbound

This paper cites Collecting data on migrants’ health status and access to health services: the experience of the mobile app “comestai.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Collecting data on migrants’ health status and access to health services: the experience of the mobile app “comestai

Reference 4

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raw_fallback, observed 2026-08-15T20:25:26.987271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 69253162-fe59-4cfc-acd1-8e5cdc924b4b · outbound

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

RIFLES: Resource-effIcient Federated LEarning via Scheduling Communication-efficient learning of deep networks from decentralized data,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b64ab67a-cedd-4f5b-9912-26fc708358fb · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Federated Learning: Strategies for Improving Communication Efficiency

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d22bf18f-7436-4eb7-a7df-964f052e8c4e · outbound

This paper cites Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare

Reference 8

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local_arxiv, observed 2026-08-15T20:25:26.580228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 63767f92-49b1-49e3-b808-1a1a0ef79958 · outbound

This paper cites Federated learning for open banking,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Federated learning for open banking,

Reference 9

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Observation b37259af-038e-401c-a655-1bda5089a886 · outbound

This paper cites Advances and open problems in federated learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Advances and open problems in federated learning,

Reference 10

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source=pdf_text observed=2026-08-15T20:25:26.342929Z digest=sha256:1e829148527226b09950aaff658c2c90c4b948dc6db6baba0ec2347301c77cfe

Observation df14d376-7145-454a-8b43-0d159707bd6f · outbound

This paper cites Resource-Efficient Federated Learning.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Resource-Efficient Federated Learning

Reference 11

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Observation 3e1bc205-2835-4cb8-a749-1983a08e2f2b · outbound

This paper cites Asynchronous online federated learning for edge devices with non-iid data,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Asynchronous online federated learning for edge devices with non-iid data,

Reference 12

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Observation 9d4cb80a-fd51-4389-a3b8-e2a9d4abda6f · outbound

This paper cites Asynchronous federated learning over wireless communication networks,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Asynchronous federated learning over wireless communication networks,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d86eb40-17e5-4482-9869-d560cb77e546 · outbound

This paper cites Client selection for federated learning with heterogeneous resources in mobile edge,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Client selection for federated learning with heterogeneous resources in mobile edge,

Reference 14

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raw_fallback, observed 2026-08-15T20:25:26.906391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 32c395c2-5cb0-4273-97f9-6703da2b948f · outbound

This paper cites Refl: Resource-efficient federated learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Refl: Resource-efficient federated learning,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c4ed2c18-9fa9-40d9-b9b3-442b235667fa · outbound

This paper cites Dynamic clustering in federated learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Dynamic clustering in federated learning,

Reference 16

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raw_fallback, observed 2026-08-15T20:25:26.873474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0ece2c14-fc3e-4739-b56b-68508231f37c · outbound

This paper cites A review of client selection methods in federated learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling A review of client selection methods in federated learning,

Reference 17

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Observation b15708d6-83cf-4fa4-837c-820c5ac27b52 · outbound

This paper cites Optimal Client Sampling for Federated Learning.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Optimal Client Sampling for Federated Learning

Reference 18

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Observation 1741d38e-47f8-48aa-bcef-8730b6095c3b · outbound

This paper cites Towards flexible device participation in federated learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Towards flexible device participation in federated learning,

Reference 19

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raw_fallback, observed 2026-08-15T20:25:26.848888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation efb48152-e250-4ee2-9c10-b6d285aefd11 · outbound

This paper cites Oort: Efficient federated learning via guided participant selection,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Oort: Efficient federated learning via guided participant selection,

Reference 20

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Observation ccbc75d3-0d59-40a5-b5f3-4a6e5d4b9af8 · outbound

This paper cites Tifl: A tier-based federated learning system,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Tifl: A tier-based federated learning system,

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8f5893ec-02a2-4ac9-be0e-391eca02c8c3 · outbound

This paper cites Flash: Heterogeneity-aware federated learning at scale,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Flash: Heterogeneity-aware federated learning at scale,

Reference 22

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raw_fallback, observed 2026-08-15T20:25:26.806543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:25:26.400435Z digest=sha256:b11e51240577b98163008d173c6a7bc23d34ba8b6cd1e84ea9d9db7a7ce63777

Observation 3f65f689-f5bd-4c94-ac11-326ba357c042 · outbound

This paper cites Towards Federated Learning at Scale: System Design.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Towards Federated Learning at Scale: System Design

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:25:26.405460Z digest=sha256:33614a62b2a5bb6bd797ab22e3f06f2144797a5ffe4db27899d66fe5dafd0a2a

Observation bf0f7f62-ea3f-4478-a7fb-0d3b1929d66c · outbound

This paper cites Fedscale: Benchmarking model and system perfor- mance of federated learning at scale,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Fedscale: Benchmarking model and system perfor- mance of federated learning at scale,

Reference 24

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Observation 9f0081c4-a110-49d4-89dc-e493e040daf9 · outbound

This paper cites Safa: A semi- asynchronous protocol for fast federated learning with low overhead,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Safa: A semi- asynchronous protocol for fast federated learning with low overhead,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 34093438-effb-40f8-af59-f6b398008021 · outbound

This paper cites Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 26

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Observation 7dc800aa-e5a6-4ee8-83f2-15e05ea1f87a · outbound

This paper cites Federated learning under intermittent client availability and time-varying communication con- straints,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Federated learning under intermittent client availability and time-varying communication con- straints,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:25:26.764372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 32d489af-e0fd-410d-9118-32db30005824 · outbound

This paper cites Federated learning with buffered asynchronous aggregation,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Federated learning with buffered asynchronous aggregation,

Reference 28

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unresolved
no resolver link, observed 2026-08-15T20:25:26.429787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:25:26.429787Z digest=sha256:17e4af6e2e9001101c7eefe0432d9a9264939986c2447ec2106d14adf8c3e3b3

Observation 73428833-8db9-4b50-b5ae-b7f50018ba62 · outbound

This paper cites Fedsea: A semi-asynchronous federated learning framework for extremely heterogeneous devices,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Fedsea: A semi-asynchronous federated learning framework for extremely heterogeneous devices,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T20:25:26.735282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 75cc3b6f-4d32-4b4d-80b6-52fdfd63dc1d · outbound

This paper cites FLARE: Availability Awareness for Resource-Efficient Federated Learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling FLARE: Availability Awareness for Resource-Efficient Federated Learning,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T20:25:26.717357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a8b7be85-e531-4f55-b2ec-c1e77511e6dd · outbound

This paper cites A comprehensive empirical study of heterogeneity in federated learning,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling A comprehensive empirical study of heterogeneity in federated learning,

Reference 31

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raw_fallback, observed 2026-08-15T20:25:26.701293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cfece3f8-ea2e-45b2-9acd-d26fcda08d4d · outbound

This paper cites Adaptive federated learning in resource constrained edge computing systems,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Adaptive federated learning in resource constrained edge computing systems,

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:25:26.448563Z digest=sha256:23df1bb6cb7bee69fcf07deddc8c82e66c6c04ff234e4ff53eea8b8ae51b935e

Observation aa2ab0ad-091c-4fa5-bd99-d01eb74cf47e · outbound

This paper cites an unresolved cited work.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b3a27498-cb20-44de-a0c4-c7d9c53e4ba8 · outbound

This paper cites Adaptive Federated Optimization.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Adaptive Federated Optimization

Reference 34

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unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:25:26.457548Z digest=sha256:446eec038374e925f5614b325039657099f5e8deb30716d2ce482dd155f4ab6d

Observation 3ea33593-1380-41f6-901c-d5ee2317656b · outbound

This paper cites Nn-meter: Towards accurate latency prediction of deep-learning model inference on diverse edge devices,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Nn-meter: Towards accurate latency prediction of deep-learning model inference on diverse edge devices,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T20:25:26.660829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:25:26.463276Z digest=sha256:cf1113b02bb3db2d05ef08251684a10983e5b1369280a7def9b8b4e459a1fda6

Observation 82b73677-c3c7-4591-adf2-2d782733a38f · outbound

This paper cites Wisdm smartphone and smartwatch activity and biomet- rics dataset,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Wisdm smartphone and smartwatch activity and biomet- rics dataset,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:25:26.644332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:25:26.469238Z digest=sha256:bcd3da1cdc024f2ca8e1e80b44ccf72bc9febae54359e3a725392bd8f011b1f8

Observation 2b03b232-bdfc-456a-9b6e-8e049078a480 · outbound

This paper cites The cifar-10 dataset,.

RIFLES: Resource-effIcient Federated LEarning via Scheduling The cifar-10 dataset,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:25:26.628862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:25:26.474422Z digest=sha256:be7b4bcaf039694eb2ec5f288b57f9eceeb9bbc3039df1e2cac26bdc94fd4d9a

Pith citing papers

No inbound Pith citation observations are available.