Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fast Feedforward Networks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.14711.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:43.474963Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6075bcdb-7196-458f-a53a-448fb0cb73ea · inbound
Position: A Theory of Deep Learning Must Include Compositional Sparsity cites this paper.
Position: A Theory of Deep Learning Must Include Compositional Sparsity Fast Feedforward Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:35:43.474963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5286010-d432-4e66-8f60-6aecb6989a70 · inbound
LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment cites this paper.
LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment Fast Feedforward Networks
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:05.269113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2e2eee0f-56ee-406b-b9bc-dd33889c46c4 · inbound
HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks cites this paper.
HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks Fast Feedforward Networks
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T06:34:18.278049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f7f05fb8-35ea-4b27-8153-8468bd6900d6 · inbound
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results cites this paper.
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results Fast Feedforward Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:26:24.512653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59854b7d-b2c3-4865-b66e-6dc50c122360 · inbound
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results cites this paper.
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results Fast Feedforward Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T08:58:21.654258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.