Paper Citation Record · LEDGER

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2502.06304.

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

pith.paper-citation-record.v1
2502.06304 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:57:13.423358Z

measured 42 of 42 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

42 of 42 outbound references displayed

verified exact1
verified fuzzy24
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54f0ba6e-85e1-4d74-83b4-45ff664a9b96 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.264941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2458e41-5128-4e41-964e-c9d829b10449 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems How Powerful are Graph Neural Networks?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.270060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c53e13b-7157-4bc6-928f-6abb56ae56cc · outbound

This paper cites A survey of sparse matrix-vector multiplication performance on large matrices,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems A survey of sparse matrix-vector multiplication performance on large matrices,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:14.055647Z

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.

Observation 65ca174e-560f-43c9-93d1-2d010259db7d · outbound

This paper cites Efficient processing of deep neural networks: A tutorial and survey,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Efficient processing of deep neural networks: A tutorial and survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.278007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82fbf866-8f72-4848-9fc3-e9cf60e6e52b · outbound

This paper cites SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-08T15:57:13.649540Z

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.

Observation dd49099d-383a-44bf-a3bc-f40cb9ab112c · outbound

This paper cites Adaptable butterfly accelerator for attention-based nns via hardware and algorithm co-design,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Adaptable butterfly accelerator for attention-based nns via hardware and algorithm co-design,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:14.025456Z

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.

Observation dde93bce-9436-4ec5-bc28-e42298721181 · outbound

This paper cites Symphony: Orchestrating sparse and dense tensors with hierarchical heterogeneous processing,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Symphony: Orchestrating sparse and dense tensors with hierarchical heterogeneous processing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:14.013399Z

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.

Observation 962c13f2-012a-4878-b6f2-ff5cb2f16978 · outbound

This paper cites Hardware acceleration of sparse and irregular tensor computa- tions of ml models: A survey and insights,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Hardware acceleration of sparse and irregular tensor computa- tions of ml models: A survey and insights,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:14.037263Z

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.

Observation 0c744319-c184-44fc-ac97-09a6a0f5f98e · outbound

This paper cites Deep learning on computational-resource-limited platforms: A survey,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Deep learning on computational-resource-limited platforms: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:14.001957Z

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.

Observation 20ee30f0-9103-435e-8061-00290dac9764 · outbound

This paper cites Azure accelerated networking: {SmartNICs} in the public cloud,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Azure accelerated networking: {SmartNICs} in the public cloud,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.989035Z

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.

Observation 79672a9d-e6af-4c90-85aa-81e3274484d8 · outbound

This paper cites Large scale distributed deep networks,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Large scale distributed deep networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.308423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cedae6e9-d21c-4e8d-a02f-0cfa91aae249 · outbound

This paper cites Virtualflow: Decoupling deep learning models from the underlying hardware,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Virtualflow: Decoupling deep learning models from the underlying hardware,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.967749Z

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.

Observation 8632cb2c-8c97-43f3-9232-7f7df6d0eab5 · outbound

This paper cites Elasticflow: An elastic serverless training platform for distributed deep learning,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Elasticflow: An elastic serverless training platform for distributed deep learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.953523Z

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.

Observation b2df575c-0e78-4cb4-9d44-44fcdd4b63c3 · outbound

This paper cites Optimus: an efficient dynamic resource scheduler for deep learning clusters,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Optimus: an efficient dynamic resource scheduler for deep learning clusters,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.940945Z

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.

Observation 10716521-5cb7-4a79-a577-ee7bbaa5449a · outbound

This paper cites Alpa: Automating inter-and {Intra- Operator} parallelism for distributed deep learning,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Alpa: Automating inter-and {Intra- Operator} parallelism for distributed deep learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.928015Z

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.

Observation b7a39cba-82c8-46a9-90a5-12323c70c985 · outbound

This paper cites Fleetrec: Large-scale recommendation inference on hybrid gpu-fpga clusters,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Fleetrec: Large-scale recommendation inference on hybrid gpu-fpga clusters,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.915571Z

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.

Observation 474f251d-0bde-4c87-8fec-60fecb8c75c6 · outbound

This paper cites Hyperscale fpga-as-a-service architecture for large-scale distributed graph neural network,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Hyperscale fpga-as-a-service architecture for large-scale distributed graph neural network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.902323Z

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.

Observation 19b0d230-59c0-47a0-b7e6-860617f89973 · outbound

This paper cites Low-latency mini-batch gnn inference on cpu-fpga heterogeneous platform,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Low-latency mini-batch gnn inference on cpu-fpga heterogeneous platform,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.333978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb8ebee-e118-4158-aa5c-9d8fce4aa38c · outbound

This paper cites Essper: Elastic and scalable fpga-cluster system for high-performance reconfigurable com- puting with supercomputer fugaku,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Essper: Elastic and scalable fpga-cluster system for high-performance reconfigurable com- puting with supercomputer fugaku,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.882975Z

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.

Observation e9fac3e8-5260-4290-8f37-d7b7f3c4ab37 · outbound

This paper cites The graph neural network model,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems The graph neural network model,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.341089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 919faa48-b117-4f23-aaf2-cfd8acc2f0d7 · outbound

This paper cites Attention is all you need,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Attention is all you need,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.344503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8832f7a-1d18-4665-8589-ec84e79fcf21 · outbound

This paper cites Longformer: The Long-Document Transformer.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Longformer: The Long-Document Transformer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.348204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9adc5ad2-443b-4166-90f4-1f4433d93948 · outbound

This paper cites Direct gpu/fpga communication via pci express,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Direct gpu/fpga communication via pci express,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.857474Z

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.

Observation 0b0ae8f5-0362-415c-8ac6-32119a94170c · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Semi-Supervised Classification with Graph Convolutional Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.355996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98dac01f-fed7-4b58-8a07-6226df876f1b · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Open graph benchmark: Datasets for machine learning on graphs,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.360193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98902704-ffa7-4654-a326-05dc2b13f7b9 · outbound

This paper cites FNet: Mixing Tokens with Fourier Transforms.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems FNet: Mixing Tokens with Fourier Transforms

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.364008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c46c270-9309-48ba-9d87-85e4f17c8f24 · outbound

This paper cites Big bird: Transformers for longer sequences,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Big bird: Transformers for longer sequences,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.368500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b83d826-544c-4470-bcdb-58a7b26e53ad · outbound

This paper cites Mistral 7B.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Mistral 7B

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.374222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234c8faa-e2c8-4653-a145-c0470a2dabfe · outbound

This paper cites Sextans: A streaming accelerator for general-purpose sparse-matrix dense-matrix multiplication,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Sextans: A streaming accelerator for general-purpose sparse-matrix dense-matrix multiplication,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.832251Z

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.

Observation d9ab7484-a329-48aa-a156-5570fa62db32 · outbound

This paper cites Flexible communication avoiding matrix multiplication on fpga with high-level synthesis,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Flexible communication avoiding matrix multiplication on fpga with high-level synthesis,

Reference 31

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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.

Observation 3b72a413-9f48-4cbb-b34c-5cc4242d86a8 · outbound

This paper cites (2024) Amd rocm ™ software.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems (2024) Amd rocm ™ software

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.820221Z

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.

Observation ab558fe9-93ef-47b8-80aa-67c55e56ce8b · outbound

This paper cites an unresolved cited work.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-08T15:57:13.809880Z

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.

Observation 3121f52a-7d2e-484d-943c-1f747a3d0591 · outbound

This paper cites an unresolved cited work.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-08T15:57:13.798722Z

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.

Observation cbc8e096-1d7b-4858-ac4b-0338c7ed5070 · outbound

This paper cites New scheduling approach using reinforcement learning for heterogeneous distributed systems,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems New scheduling approach using reinforcement learning for heterogeneous distributed systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.787191Z

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.

Observation 5d09efdc-f346-4a8d-a7be-9531d36de1ec · outbound

This paper cites A hybrid meta-heuristic algorithm for scientific workflow scheduling in heterogeneous distributed computing systems,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems A hybrid meta-heuristic algorithm for scientific workflow scheduling in heterogeneous distributed computing systems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.772980Z

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.

Observation a44c9f8a-a88d-48fc-a841-97375a263a62 · outbound

This paper cites Job scheduling in heterogeneous distributed systems,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Job scheduling in heterogeneous distributed systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.758175Z

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.

Observation 9a3db78f-a1b1-4001-897d-2ad4bf406d71 · outbound

This paper cites Resource-aware hybrid scheduling algorithm in heterogeneous dis- tributed computing,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Resource-aware hybrid scheduling algorithm in heterogeneous dis- tributed computing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.745649Z

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.

Observation 59adb964-f37f-4535-8e4f-b7353426568a · outbound

This paper cites Heterps: Distributed deep learning with rein- forcement learning based scheduling in heterogeneous environments,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Heterps: Distributed deep learning with rein- forcement learning based scheduling in heterogeneous environments,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.733957Z

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.

Observation 843d1d1c-2685-41d5-84c4-cb79e50bda6e · outbound

This paper cites Adaptive and resilient model- distributed inference in edge computing systems,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Adaptive and resilient model- distributed inference in edge computing systems,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.720798Z

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.

Observation 4fc82da7-7e1e-461e-8755-454fc5d552d3 · outbound

This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T15:57:13.416567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 443d7c91-fbe2-4dbc-ade2-9b8856673f6b · outbound

This paper cites Dynamic adaptive dnn surgery for inference acceleration on the edge,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Dynamic adaptive dnn surgery for inference acceleration on the edge,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.701143Z

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.

Observation c53616c8-311a-4ee1-9d10-907e6dbcecc6 · outbound

This paper cites Ionn: Incremental offloading of neural network computations from mobile devices to edge servers,.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems Ionn: Incremental offloading of neural network computations from mobile devices to edge servers,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:57:13.688637Z

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.

Pith citing papers

No inbound Pith citation observations are available.