Paper Citation Record · LEDGER

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.07685.

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

pith.paper-citation-record.v1
2606.07685 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:41:03.587563Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51a6c889-8fbe-46eb-af79-54c0c93f5b29 · outbound

This paper cites Mlaas: Machine learning as a service,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Mlaas: Machine learning as a service,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3870f357-a888-44ed-9de5-abb9d38e9790 · outbound

This paper cites A hybrid contextual deep learning model to predict renewable energy generation,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments A hybrid contextual deep learning model to predict renewable energy generation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76b3342-13a4-4f48-a7ed-c16da7bc06a2 · outbound

This paper cites New Prediction Feature for Hypoglycemia Now Avail- able in Sugar.IQ TM Personal Diabetes Assistant App, Developed by Medtronic and IBM Watson Health,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments New Prediction Feature for Hypoglycemia Now Avail- able in Sugar.IQ TM Personal Diabetes Assistant App, Developed by Medtronic and IBM Watson Health,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92bcec8a-0d02-4125-b471-8963a9511f16 · outbound

This paper cites On delay-sensitive healthcare data analytics at the network edge based on deep learning,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments On delay-sensitive healthcare data analytics at the network edge based on deep learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a81c851-8ba5-499c-9d0b-ce91a0320c09 · outbound

This paper cites A collaborative service composition approach considering providers’ self-interest and minimal service sharing,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments A collaborative service composition approach considering providers’ self-interest and minimal service sharing,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37b0cb7-389a-4caa-9daa-577252fb77ab · outbound

This paper cites Adaptive composition of machine learning as a service (mlaas) for iot environments,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Adaptive composition of machine learning as a service (mlaas) for iot environments,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428c6416-aee5-41b7-9a20-15c4523a5807 · outbound

This paper cites Adaptive and context-aware service composition for iot-based smart cities,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Adaptive and context-aware service composition for iot-based smart cities,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deadc530-2423-4bfa-9be3-38a4e2ae4a87 · outbound

This paper cites Long-term iaas provider selection using short-term trial experience,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Long-term iaas provider selection using short-term trial experience,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b4a48f-b834-459a-873a-274820001e5f · outbound

This paper cites Semantic service substitution in pervasive environments,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Semantic service substitution in pervasive environments,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba90d91-f495-41af-a03e-7cdc83132421 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Tent: Fully test-time adaptation by entropy minimization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d93abb-6598-4d50-bc7b-69892a092183 · outbound

This paper cites Ttn: A domain-shift aware batch normalization in test-time adaptation,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Ttn: A domain-shift aware batch normalization in test-time adaptation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726424b0-742a-4930-8aff-219236d4cb27 · outbound

This paper cites Improving robustness against common corrup- tions by covariate shift adaptation,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Improving robustness against common corrup- tions by covariate shift adaptation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de088ce-a877-446b-ae29-c0b5f26bff53 · outbound

This paper cites Dynamic selection for service composition based on temporal and qos constraints,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Dynamic selection for service composition based on temporal and qos constraints,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b9e65a-8b5c-471b-9646-5261b6620556 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Federated optimization in heterogeneous networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9b41e5-0abb-4858-a37c-a68baadecec5 · outbound

This paper cites Enabling collaborative test-time adaptation in dynamic environment via federated learning,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Enabling collaborative test-time adaptation in dynamic environment via federated learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0d7925e-62c4-41ce-acd4-fc4672f9bdf7 · outbound

This paper cites pfedbbn: A personalized federated test-time adaptation with balanced batch normalization for class-imbalanced data,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments pfedbbn: A personalized federated test-time adaptation with balanced batch normalization for class-imbalanced data,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c65df85-0a84-499d-8ff0-8ba6d99a31ba · outbound

This paper cites Skyml: A mlaas federation design for multicloud- based multimedia analytics,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Skyml: A mlaas federation design for multicloud- based multimedia analytics,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac969b04-29c1-423c-bf7a-ebafc5391d25 · outbound

This paper cites Flaas: Federated learning as a service,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Flaas: Federated learning as a service,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e774315-cd79-4004-98af-4d12ab8d9ead · outbound

This paper cites Reinforcement learning controlled adaptive pso for task offloading in iiot edge computing,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Reinforcement learning controlled adaptive pso for task offloading in iiot edge computing,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3bd6a08-6f40-4101-86d1-8d5e065e42ff · outbound

This paper cites Semantics-based context-aware dynamic service composition,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Semantics-based context-aware dynamic service composition,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5fb7415-b020-4829-8341-38994a2b9283 · outbound

This paper cites Adaptive and dynamic service composition using q-learning,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Adaptive and dynamic service composition using q-learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ddef80-67e8-4645-a3dc-8f8dce8deeca · outbound

This paper cites Memo: Test time robustness via adaptation and augmentation,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Memo: Test time robustness via adaptation and augmentation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e406fc6d-1e47-4fe9-b4aa-21752279b332 · outbound

This paper cites A layer selection approach to test time adaptation,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments A layer selection approach to test time adaptation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d69ca76-2b66-42e5-84fc-4b0f6fd9bd4e · outbound

This paper cites Layer-wise auto-weighting for non-stationary test- time adaptation,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Layer-wise auto-weighting for non-stationary test- time adaptation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4fa3d5-fd08-44ef-bb88-70783ec05f5a · outbound

This paper cites Machine learning as a service (mlaas) dataset generator framework for iot environments,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Machine learning as a service (mlaas) dataset generator framework for iot environments,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0662fad6-7827-471d-8477-9a96fb470ca2 · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments MNIST-C: A Robustness Benchmark for Computer Vision

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-02T16:27:09.350911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebd60207-960a-4996-8345-f818b4d6d3b7 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations,.

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Benchmarking neural network robustness to common corruptions and perturbations,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T22:41:03.587563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.