Paper Citation Record · LEDGER

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation

As of 6 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2511.05615.

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

pith.paper-citation-record.v1
2511.05615 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:44:07.604599Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:57:15.908346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:46:12.713344Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy0
unresolved41
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2421f506-90e9-44ac-a9d5-ba25c9f4332f · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.257258Z

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Unavailable: canonical work link unavailable.

Observation 3ef68d89-09eb-4c56-97b9-15894cd522cf · outbound

This paper cites Charged Particle Tracking with Machine Learning on FPGAs.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Charged Particle Tracking with Machine Learning on FPGAs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.402924Z

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Unavailable: canonical work link unavailable.

Observation 7aa7a470-6a37-4440-8591-b85ec7d49290 · outbound

This paper cites 2024.Vitis High-Level Synthesis User Guide (UG1399)(2024.2 ed.).

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation 2024.Vitis High-Level Synthesis User Guide (UG1399)(2024.2 ed.)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.445182Z

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Observation 8e9bec06-129d-4260-a203-54b50a8cc3cf · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.489828Z

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Observation de63a6b1-f3d1-42ba-b23e-af5bb2564b4c · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.555774Z

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Observation 24e7ab75-76df-445b-baa1-8518b712ab03 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.625461Z

Source-reported events for the cited work

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Observation 8b86525d-4548-40c7-a462-7eaa99e6c161 · outbound

This paper cites Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.696107Z

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Unavailable: canonical work link unavailable.

Observation bbce1f7d-63b4-40c7-a4e5-c6b585cf93cc · outbound

This paper cites How Attentive are Graph Attention Networks?.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation How Attentive are Graph Attention Networks?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.759240Z

Source-reported events for the cited work

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Observation c44bb760-c89d-4be9-ae28-4ed2664848e0 · outbound

This paper cites End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.839552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ba6f6f-36b7-402f-8aa7-6dd03365eb3d · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.918647Z

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Observation 82c598f0-59eb-4efc-b261-d22787fdd44b · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.989147Z

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Observation e9a5cd62-bf88-4675-b8da-eaf572dafb52 · outbound

This paper cites Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.083321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f516f0bd-290f-4bba-98e5-18454bf0fac9 · outbound

This paper cites Young, and Zhiru Zhang.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Young, and Zhiru Zhang

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.243513Z

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Observation 6cbfe883-3ca0-417d-9dfd-016d1d005084 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.407534Z

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Unavailable: canonical work link unavailable.

Observation 464becee-0a40-4447-929b-7be0ffb1eacc · outbound

This paper cites Fast inference of deep neural networks in FPGAs for particle physics.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Fast inference of deep neural networks in FPGAs for particle physics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.489592Z

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Observation 8fdfc673-40db-4544-ae5e-da6be270856c · outbound

This paper cites FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.578748Z

Source-reported events for the cited work

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Observation 0854bfaf-0dab-4463-bed1-f376e9c53386 · outbound

This paper cites hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.757102Z

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Observation 6108a878-6d6e-45bd-853a-b91e2c725a86 · outbound

This paper cites DB4HLS: A Database of High-Level Synthesis Design Space Explorations.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation DB4HLS: A Database of High-Level Synthesis Design Space Explorations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:05.916528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a800ece-138b-480c-b435-6f6d7fd6efd8 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Fast Graph Representation Learning with PyTorch Geometric

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.052099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a3d4a4-82ad-43a3-88ac-4a13c6743430 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.141710Z

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Unavailable: canonical work link unavailable.

Observation 828baea6-59a0-4cf3-9c6c-9a7ca351dccd · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.318769Z

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Unavailable: canonical work link unavailable.

Observation 0620c51b-1f10-4490-938e-668b7b57e6f2 · outbound

This paper cites Usman Jamal, Zhuowei Li, Mihai T.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Usman Jamal, Zhuowei Li, Mihai T

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.390399Z

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Observation 32f670ea-023c-4171-8d29-a7abca51f346 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.462286Z

Source-reported events for the cited work

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Observation 86300d97-55b2-47ed-bb20-db13007eb2b6 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.540094Z

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Observation 0ed18389-4dc8-4d05-86d4-e11970ad075d · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.549779Z

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Unavailable: canonical work link unavailable.

Observation 84b6a327-40e1-4cce-ab6e-29fab59c2b38 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.618310Z

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Observation 77a2264b-ab8a-4091-b5f7-b5706467c981 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.689421Z

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Observation ec6bc629-4d14-4740-8bb1-c5c0c48fc9ba · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.756323Z

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Observation 4d962466-0423-4deb-b6a9-1a0481855e15 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.796066Z

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Observation 345316c2-e8a2-479e-8be8-931e28cbfab0 · outbound

This paper cites rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.861361Z

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Observation 09560170-6db6-4e37-97d7-91f74c559747 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.899420Z

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Observation 2e6edda0-a40b-492f-a36b-ba6779515585 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.969981Z

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Observation 212e9106-4e9f-4a5d-a125-627cf983ce5e · outbound

This paper cites FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.998379Z

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Observation 43d1f78b-2993-4f16-9de4-a9a0e6914af6 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:07.100895Z

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Observation c95a46a5-d657-4fb2-8567-8d13be535a0f · outbound

This paper cites Attention Is All You Need.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Attention Is All You Need

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:07.184142Z

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Observation d5d6ff6f-adca-43b5-9fa5-57f7d36fdd08 · outbound

This paper cites Graph Attention Networks.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Graph Attention Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:07.260729Z

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Unavailable: canonical work link unavailable.

Observation a6df4d6d-7182-4ba0-9d74-85163eb25f0c · outbound

This paper cites Weil, Scott A.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Weil, Scott A

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:07.455335Z

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Unavailable: canonical work link unavailable.

Observation 74c036f7-b062-4d3d-bf22-af1cc9757aeb · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:07.568568Z

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Observation 186add19-353b-48b2-b81c-9ab79ef51085 · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:07.604599Z

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Unavailable: canonical work link unavailable.

Observation 440bca89-8dab-48e8-b5e1-c6c0baa2691a · outbound

This paper cites In2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation In2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:06.246586Z

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Unavailable: canonical work link unavailable.

Observation 56c23a1a-f461-4207-9a89-14bd809eee4a · outbound

This paper cites an unresolved cited work.

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T23:44:04.323710Z

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Pith citing papers

Observation 6a909e23-52d7-441b-a66b-9e9287b60020 · inbound

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings cites this paper.

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-05T02:16:20.469417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.