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Paper Citation Record · LEDGER

A survey on FPGA-based accelerator for ML models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15666.

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

pith.paper-citation-record.v1
2412.15666 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 2026-08-07T11:35:24.030784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:29:06.765074Z

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 bc16ad82-9219-4cd8-ac53-e783e63cdf9b · inbound

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence cites this paper.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence A survey on FPGA-based accelerator for ML models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:24.030784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:24.030784Z digest=sha256:41a53d0c2038b3df3639bf1fb08eacc80daf5929121c10e3c246dee9d6d12706

Observation 886f0f19-3049-4286-aeb6-6015cd9f5ecd · inbound

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA cites this paper.

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA A survey on FPGA-based accelerator for ML models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:29:06.766683Z

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=2026-05-09T22:27:03.473914Z digest=sha256:6e7ba6fc0152fbb6998338c4e5b7c9d5dce8da63bb6b62e568c9329f47dbe89b