Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.09026.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:57:13.484732Z
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 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 2026-08-09T06:31:02.800959+00:00.