Paper Citation Record · LEDGER

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.02814.

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

pith.paper-citation-record.v1
2506.02814 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:53.129572Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy29
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd53f58a-6128-4294-a513-b1c62bea66df · outbound

This paper cites Internet of things (iot): A literature review,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Internet of things (iot): A literature review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:58.184355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cfbb5d8a-d68e-49d3-9d6f-f2b2476bf1db · outbound

This paper cites Power-steering control architecture for automatic driving,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Power-steering control architecture for automatic driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:58.010246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afc131af-f0d8-494d-8812-ddcc031c707f · outbound

This paper cites Healthcare 4.0,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Healthcare 4.0,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:57.809917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af36f9eb-7367-42de-ad3d-5c037febb49b · outbound

This paper cites The characteristics of cloud computing,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing The characteristics of cloud computing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:57.647515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 242e71fd-173e-495c-8219-6cfea00cede2 · outbound

This paper cites Edge computing: Vision and challenges,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Edge computing: Vision and challenges,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:51.425438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d16d68de-39ed-466c-b5e7-557ef929de3a · outbound

This paper cites Joint computing and caching in 5g-envisioned internet of vehicles: A deep reinforcement learning- based traffic control system,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Joint computing and caching in 5g-envisioned internet of vehicles: A deep reinforcement learning- based traffic control system,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:57.476355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2929ac7-e824-4161-ac2c-14e572e2a774 · outbound

This paper cites Joint resource overbooking and container scheduling in edge computing,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Joint resource overbooking and container scheduling in edge computing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:57.296472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 682b1635-2663-4552-bcf1-ad881684b1a0 · outbound

This paper cites A quality of service architecture,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing A quality of service architecture,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:57.108323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37e54e8d-e33e-4e3d-89b6-6bb642903df8 · outbound

This paper cites Rim: Offloading inference to the edge,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Rim: Offloading inference to the edge,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:56.958318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca527d9a-be2b-4fdb-b48e-d0fbf176a19b · outbound

This paper cites Inferline: latency-aware provisioning and scaling for prediction serving pipelines,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Inferline: latency-aware provisioning and scaling for prediction serving pipelines,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:56.811799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 942e3ebb-531f-45f1-af18-daa9d5a30ce2 · outbound

This paper cites Grandslam: Guaranteeing slas for jobs in microservices execution frameworks,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Grandslam: Guaranteeing slas for jobs in microservices execution frameworks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:56.667007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f475419-dd97-48d6-8bca-3d3f000bb340 · outbound

This paper cites Fa2: Fast, accurate autoscaling for serving deep learning inference with sla guarantees,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Fa2: Fast, accurate autoscaling for serving deep learning inference with sla guarantees,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:56.498102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fab06b3d-36f3-44ec-ac7a-7ef432c08ebe · outbound

This paper cites [solution] ipa: Inference pipeline adaptation to achieve high accuracy and cost-efficiency,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing [solution] ipa: Inference pipeline adaptation to achieve high accuracy and cost-efficiency,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:56.331062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09f6b811-1791-4aa8-a1b7-30fa902e1d41 · outbound

This paper cites Deep residual learning for image recognition,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Deep residual learning for image recognition,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:52.142420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b938df1f-d3d4-4e22-9ab3-ddbc37334e88 · outbound

This paper cites Long short-term memory,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Long short-term memory,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:52.200324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8a379a-de3e-4bcb-94f9-0f0276b10cf2 · outbound

This paper cites Autopi- lot: workload autoscaling at google,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Autopi- lot: workload autoscaling at google,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:56.180290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc2a50e0-221f-4dfc-bf36-1f0fe81dcea9 · outbound

This paper cites Reconciling high accuracy, cost-efficiency, and low latency of inference serving systems,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Reconciling high accuracy, cost-efficiency, and low latency of inference serving systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:55.948883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0974e0b4-eba7-470c-bb17-b0ae8951f09a · outbound

This paper cites Policy gradi- ent methods for reinforcement learning with function approximation,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Policy gradi- ent methods for reinforcement learning with function approximation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:52.334790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92bc44ee-23a9-4fdb-8e70-10529a6ebdef · outbound

This paper cites [Online].

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing [Online]

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:55.697435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40da02a6-37ab-4dd6-a5d2-80e36d5132e3 · outbound

This paper cites Available: https://github.com/SeldonIO/seldon-core.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Available: https://github.com/SeldonIO/seldon-core

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:55.560555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f195a263-8193-4c08-825c-243d6d4173a4 · outbound

This paper cites Available: https://github.com/SeldonIO/MLServer.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Available: https://github.com/SeldonIO/MLServer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:55.301709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e36c9b5-5467-4b4f-9e26-656213fe6b96 · outbound

This paper cites [Online].

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing [Online]

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:55.058617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6217e7a-a769-4ce2-8d7a-8897a743b3e4 · outbound

This paper cites Aquatope: Qos-and- uncertainty-aware resource management for multi-stage serverless workflows,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Aquatope: Qos-and- uncertainty-aware resource management for multi-stage serverless workflows,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:54.791356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c1e0ded-46d0-452f-9ef8-bad5f5ea177e · outbound

This paper cites Cocktail: A multidimensional optimization for model serving in cloud,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Cocktail: A multidimensional optimization for model serving in cloud,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:54.555328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4ce89a6-d5f4-47c8-a3b7-2682afc4cd89 · outbound

This paper cites Spatio–temporal edge service placement: A bandit learning approach,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Spatio–temporal edge service placement: A bandit learning approach,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:54.313317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55594e9c-f425-4f8a-98b5-1aa77343332c · outbound

This paper cites Online service migration in mobile edge with incomplete system information: A deep recurrent actor-critic learning approach,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Online service migration in mobile edge with incomplete system information: A deep recurrent actor-critic learning approach,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:54.220428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c6f35de-122f-4015-9354-4bb83a61747d · outbound

This paper cites Multi- user layer-aware online container migration in edge-assisted vehicular networks,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Multi- user layer-aware online container migration in edge-assisted vehicular networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:54.044723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aab4a121-5358-4c8c-b721-a0e49d211d81 · outbound

This paper cites Dependent task offloading for edge computing based on deep rein- forcement learning,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Dependent task offloading for edge computing based on deep rein- forcement learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:53.941729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36ba2943-853b-4f18-90fc-5f2938996e40 · outbound

This paper cites Latency-aware container scheduling in edge cluster upgrades: A deep reinforcement learning approach,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Latency-aware container scheduling in edge cluster upgrades: A deep reinforcement learning approach,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:53.758026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9292c84c-a78a-4545-b5a9-acf1a10b2f64 · outbound

This paper cites [Online].

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing [Online]

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:53.665500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dcac891a-f9d9-4746-939f-e32a260a100e · outbound

This paper cites A survey of quantization methods for efficient neural network inference,.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing A survey of quantization methods for efficient neural network inference,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:53.520701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dd434fb-6ac5-4621-a58a-e2685ca4b0f1 · outbound

This paper cites [Online].

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing [Online]

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:53.417312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b894c2bd-4319-488c-93c1-e9a13c7f80a2 · outbound

This paper cites [Online].

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing [Online]

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:53.288279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36bb52e3-5148-4648-81a3-531f71f939fe · outbound

This paper cites Proximal Policy Optimization Algorithms.

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing Proximal Policy Optimization Algorithms

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:53.129572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.