Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.07752.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:48.516439Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:19:31.166603Z
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 b5fb0433-8b3e-4338-bd1a-a288115f0777 · inbound
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization cites this paper.
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:48.516439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aaa44dd-b48f-4550-abac-be7644ec68b0 · inbound
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:39:59.261745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a6ad1689-f15b-4a60-ba21-0eff2689ac0b · inbound
Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning cites this paper.
Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
Reference 74
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T03:19:31.168514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.