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Paper Citation Record · LEDGER

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.13103.

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

pith.paper-citation-record.v1
2204.13103 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:44:06.998379Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:29:44.184851Z

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 212e9106-4e9f-4a5d-a125-627cf983ce5e · inbound

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:44:06.998379Z digest=sha256:964dee2daadd21b6b17d3bd073b38e14f5b68a930b365dbb98e11f65928a41e6

Observation 741c3e0e-2c4b-4597-af1a-14fc0a736172 · inbound

NeutronSparse: Coordinating Heterogeneous Engines for Sparse Matrix Multiplication on NPUs cites this paper.

NeutronSparse: Coordinating Heterogeneous Engines for Sparse Matrix Multiplication on NPUs FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:29:44.187167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T09:53:40.216887Z digest=sha256:c9da71fcb9f643666bbb17c980ebe6db5a51012affa6c7b404789f0767d3f885