Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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.

source=pdf_text observed=2026-08-05T14:02:39.015234Z digest=sha256:f632d07f8e565dd005f26853f38177c5b1280fb1df807fa46145263a10d99775

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:19:21.143588Z digest=sha256:156df7e69ba8645e2b56082fd1d6656fc8f2ad96153b442cefcb2f0ab53b0ece