Paper Citation Record · LEDGER

FedNAMs: Performing Interpretability Analysis in Federated Learning Context

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2506.17466.

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

pith.paper-citation-record.v1
2506.17466 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:33:39.802651Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:30.784788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:33:31.494829Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy9
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c15c58d-aff3-4813-880b-062699ed06d2 · outbound

This paper cites Neural additive models: Interpretable machine learning with neural nets.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Neural additive models: Interpretable machine learning with neural nets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:36.903221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2421b096-5dd6-4e39-841b-aa22fbc1df5e · outbound

This paper cites Handling privacy-sensitive medical data with federated learning: challenges and future directions.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Handling privacy-sensitive medical data with federated learning: challenges and future directions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:42.379125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b02b2d92-bdd9-40bd-8deb-753a9daeee56 · outbound

This paper cites Building communication efficient asynchronous peer-to-peer federated llms with blockchain.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Building communication efficient asynchronous peer-to-peer federated llms with blockchain

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:42.156380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1467cc1-9da4-488a-a968-2877190ba9e4 · outbound

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

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Towards Federated Learning at Scale: System Design

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:37.344580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 156d8865-31d3-40d2-b415-a212815bd995 · outbound

This paper cites Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:37.443353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb6e6c3-e043-4eba-915d-783c872371b7 · outbound

This paper cites Fast federated learning in the presence of arbitrary device unavailability.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Fast federated learning in the presence of arbitrary device unavailability

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:41.904458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5761c69c-f027-4775-bdc2-6f6b864c12c2 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Federated Learning for Mobile Keyboard Prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:37.719118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6595ee3-439f-4bf7-b6ae-9ee9283a7bde · outbound

This paper cites Generalized additive models.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Generalized additive models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:41.660312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1da5829-4ef2-474f-9641-3c0e4d1c5afc · outbound

This paper cites Federated Learning for Computer Vision.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Federated Learning for Computer Vision

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.010222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae6bfe6-d75a-483a-84e9-0df6c0716045 · outbound

This paper cites Advances and open problems in federated learning.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Advances and open problems in federated learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:41.367243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08a32291-6479-4b58-8cbf-f20384d33033 · outbound

This paper cites Towards Interpretable Federated Learning.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Towards Interpretable Federated Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.294193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9660c675-1732-42dc-a678-d6a6bc322634 · outbound

This paper cites Recent advances on federated learning: A systematic survey.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Recent advances on federated learning: A systematic survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:41.083841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f1a5eca-7614-4024-ae97-96bda7506331 · outbound

This paper cites Consistent feature attribution for tree ensembles.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Consistent feature attribution for tree ensembles

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.518000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa591864-c0a9-4267-a8e8-45e16f51d1fa · outbound

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

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Communication-efficient learning of deep networks from decentralized data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.669738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c5bca1-feab-4869-92d3-58ad5765094d · outbound

This paper cites CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.796216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1de615-e528-4b75-bcaa-6b66b850e5e3 · outbound

This paper cites why should i trust you?.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context why should i trust you?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.931311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b99f442-87f1-4a82-af3e-a962990e22fe · outbound

This paper cites Recent methodological advances in federated learning for healthcare.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Recent methodological advances in federated learning for healthcare

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:40.810052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2409476-bc95-43a1-8b4c-33574114c775 · outbound

This paper cites A clustered federated learning method of user behavior analysis based on non-iid data.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context A clustered federated learning method of user behavior analysis based on non-iid data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:40.516317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50adc981-fa0d-4409-9046-e0def43c075e · outbound

This paper cites A survey of trustworthy federated learning: Issues, solutions, and challenges.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context A survey of trustworthy federated learning: Issues, solutions, and challenges

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:33:40.238554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00bc57ac-1db0-4c3e-860a-8d5b82145e26 · outbound

This paper cites write newline.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context write newline

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:39.352182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f11b44-6c88-4996-a56d-70ccb19f86ed · outbound

This paper cites @esa (Ref.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context @esa (Ref

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:39.522601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac7b3eb-410c-4a03-96ac-c532b560d69b · outbound

This paper cites an unresolved cited work.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:39.685876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f899e463-e054-47ad-9279-0ce3fc78f4dc · outbound

This paper cites an unresolved cited work.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:39.802651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 959dde92-83d2-420b-bdfd-ea061eac7b84 · inbound

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web cites this paper.

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web FedNAMs: Performing Interpretability Analysis in Federated Learning Context

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:33:31.567023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a00eaca0-3024-4d3a-97e6-d97accdde344 · inbound

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction cites this paper.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction FedNAMs: Performing Interpretability Analysis in Federated Learning Context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:16.087452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.