Paper Citation Record · LEDGER

FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.09026.

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

pith.paper-citation-record.v1
2403.09026 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:55:39.849507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T03:04:14.320567Z

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 dd328713-eee6-457f-8390-3e5972f57adc · inbound

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign cites this paper.

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:13.484732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a29c69-b3fc-4761-be98-e7bd36247b74 · inbound

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units cites this paper.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.267690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d9673d9-00f4-47d6-8dc6-4566fa98def2 · inbound

Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator cites this paper.

Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:39.849507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e42fcc-a644-4ead-b7e5-3b1ba96cc43f · inbound

Harvesting AI Computation at the Edge via Generic Approximation cites this paper.

Harvesting AI Computation at the Edge via Generic Approximation FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:04:14.323112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.