Paper Citation Record · LEDGER

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2411.11678.

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

pith.paper-citation-record.v1
2411.11678 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:18:10.361347Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:02:39.015234Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:06:05.565754Z

Reference resolution

13 of 13 outbound references displayed

verified exact3
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 577fcc9e-9ce0-4024-827b-f345bbbef1cc · outbound

This paper cites Future Circular Collider Tech.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Future Circular Collider Tech

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-12T18:18:10.673819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11c1152a-a7cd-4798-81c3-333e476c95bc · outbound

This paper cites an unresolved cited work.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.327873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e588f07b-ddbc-4345-9919-554dd14ead35 · outbound

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

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.331039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5cf11c7-58ca-4fc3-b6c4-b81f57439683 · outbound

This paper cites Implementation of a framework for deploying AI inference engines in FPGAs.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Implementation of a framework for deploying AI inference engines in FPGAs

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:18:10.554474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e56867a3-2804-48f6-a9fa-1c1bb246200d · outbound

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

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Fast inference of deep neural networks in FPGAs for particle physics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.337406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826defdf-e754-46f1-9d2b-9a44dd51b2ac · outbound

This paper cites an unresolved cited work.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:18:10.690260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fafeb65-99a3-4872-ab88-e8fa61161c95 · outbound

This paper cites an unresolved cited work.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.343215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e45d4f-3f6e-4515-8155-e8a55684e26f · outbound

This paper cites an unresolved cited work.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Unresolved cited work

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-12T18:18:10.473671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aeb7cc49-3c3e-4aea-996c-a106974b87db · outbound

This paper cites Auto-Encoding Variational Bayes.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Auto-Encoding Variational Bayes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.348693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf67ea7-b772-4382-b0f1-19890472adcc · outbound

This paper cites LHC physics dataset for unsupervised New Physics detection at 40 MHz.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition LHC physics dataset for unsupervised New Physics detection at 40 MHz

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.351701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4289ef6f-8b6e-43ed-9f51-317dec3e2505 · outbound

This paper cites an unresolved cited work.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.354755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6e2e0c-b51f-4fab-86b3-3e87ba9c39e5 · outbound

This paper cites an unresolved cited work.

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:18:10.681841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 176f3176-11c8-4454-80ac-e2f365b3e337 · outbound

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

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:10.361347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dd36ea4b-91e5-4115-9903-4f103999d958 · inbound

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL cites this paper.

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T14:02:39.015234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 412da930-4748-49bd-9ea5-e7700de7a17e · inbound

Design Rules for Extreme-Edge Scientific Computing on AI Engines cites this paper.

Design Rules for Extreme-Edge Scientific Computing on AI Engines Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.571996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.