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Paper Citation Record · LEDGER

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark

As of 1 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2606.12343.

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

pith.paper-citation-record.v1
2606.12343 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T08:14:25.177155Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11d61184-73a3-4333-a4ae-867f3828351f · outbound

This paper cites Equilibrium in the computing continuum through active inference,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Equilibrium in the computing continuum through active inference,

Reference 1

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:1187f6cf6d54842558d78db33e679b9a7107d11a314ca21e534157f0da0bc660

Observation 9c2f2341-ab1f-45db-bb4c-feb010e32d6f · outbound

This paper cites Benchmarking dynamic slo compliance in distributed computing continuum systems,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Benchmarking dynamic slo compliance in distributed computing continuum systems,

Reference 2

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:c18fd58f64f1e2efdfbed58b0d3dca3c42eec7788752aa94e897aa79a6ee5b0e

Observation c397685d-c3c8-4251-81fb-118b1dad1a1f · outbound

This paper cites Live video analytics at scale with approximation and delay-tolerance,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Live video analytics at scale with approximation and delay-tolerance,

Reference 3

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:ad153f156d165c46a101d181ba878bdfc87dd7ce47bdbf0c83d2f4baf7d2d6bf

Observation 86217e82-0a6b-4d53-9085-f60cf1936130 · outbound

This paper cites Serving DNNs like clockwork: Performance predictability from the bottom up,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Serving DNNs like clockwork: Performance predictability from the bottom up,

Reference 4

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:1cf2c2a90b2f0738b992de9ab22d2c70dfec43b4fc7b32ffc6d6bfebaca3db59

Observation afbed1f0-e351-4bbb-ac42-435726354f50 · outbound

This paper cites Learning scheduling algorithms for data processing clusters,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Learning scheduling algorithms for data processing clusters,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:8e0bef31c959b30449d43760ec69c769f68f6275560153b467f5926673e8805d

Observation fe25a89f-f3fe-41eb-80ec-afa77e777469 · outbound

This paper cites Active inference-based adaptive routing for heterogeneous edge AI services,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Active inference-based adaptive routing for heterogeneous edge AI services,

Reference 6

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:f0b5e2a3613d1932dcbd70485a599dd265322917d95a7e83a77c31aa27e2563f

Observation 3bd1549e-bd6b-4ae7-9b35-7601b08c1e32 · outbound

This paper cites Adaptive stream processing on edge devices through active inference,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Adaptive stream processing on edge devices through active inference,

Reference 7

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:340ee4050d2a1b248b3dda17ebfa8d4bb02863fc5e6b5a3b1872c65d7f2a4bd1

Observation c6159ab2-bb5b-408c-a25f-94a423d524e1 · outbound

This paper cites Chameleon: Scalable adaptation of video analytics,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Chameleon: Scalable adaptation of video analytics,

Reference 8

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:37d9c7d75e631dd7a6a36a58fdcfa681c9861f60a91b0241d68b378116ed4787

Observation 64f4d8d3-97c4-47a3-a4f3-bb10e801e735 · outbound

This paper cites Neural adaptive video streaming with Pensieve,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Neural adaptive video streaming with Pensieve,

Reference 9

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:4c00028b305d87b4827a4cd3279a2ea8e8166dce3578b01c27d0cbeca25b0d26

Observation 00b0f9f5-31de-4110-a985-1dd291ccda26 · outbound

This paper cites Joint configuration adaptation and bandwidth allocation for edge-based real- time video analytics,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Joint configuration adaptation and bandwidth allocation for edge-based real- time video analytics,

Reference 10

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unresolved
no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:cb4a0842cd5c5eb19879e7cb3c13dbd61ee442202b83dcfe2f4609c233d0c6b4

Observation d8de9cb5-f9a3-4358-a8c8-241a2aca8f8c · outbound

This paper cites MLPerf inference benchmark,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark MLPerf inference benchmark,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:751a8456a15f5c3e74688030ef6bd992cff3c4bd079202bcc52119cf45bae4ae

Observation c8dc2b79-aaf0-4973-86cb-28ef7f55cf89 · outbound

This paper cites MLPerf training benchmark,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark MLPerf training benchmark,

Reference 12

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unresolved
no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:8c8a3e2300855c96eb3a7560e48f6cf1891a0c2fe2cdcc5653c85c5274036c9f

Observation d12ca02f-c494-40ae-ad56-5c0241acd953 · outbound

This paper cites An open-source benchmark suite for microservices and their hardware-software implications for cloud and edge systems,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark An open-source benchmark suite for microservices and their hardware-software implications for cloud and edge systems,

Reference 13

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:be9a4386096abf1b4883218e64fe02b21cc9b8341f3b9729891f09da7af37278

Observation e8026dea-33a1-4156-aa4c-05fcaaf60033 · outbound

This paper cites BUNGEE: An elasticity benchmark for self-adaptive IaaS cloud environments,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark BUNGEE: An elasticity benchmark for self-adaptive IaaS cloud environments,

Reference 14

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:c2fc8fd1c9facef9ad689826cac14d96bfad756ca2d3e83012680c50210b831e

Observation c4a0fa68-7f2d-480c-ae31-ce8aeddc7861 · outbound

This paper cites Ultralytics yolov8,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Ultralytics yolov8,

Reference 15

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:3e6b9857024d9ab456054ef6d5a0d1b8393cbc6a28d82053e7b007b72c0200fd

Observation 729192f2-de22-40d8-b29a-ded9e823deaf · outbound

This paper cites Deep reinforcement learning with double Q-learning,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Deep reinforcement learning with double Q-learning,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:8fec3df14e611b23a265461e35333b577de34c6f2b4ef365243f15ab336d4077

Observation 70886699-6c14-44c1-9879-055aa12f41e2 · outbound

This paper cites an unresolved cited work.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Unresolved cited work

Reference 17

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:a397ac13107b9c07b11b87bb8a41f53853cda3620ece1fd099fccc9027143148

Pith citing papers

No inbound Pith citation observations are available.