Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.09524.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T19:15:04.964753Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:16:01.142409Z
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 1a0afb60-979e-4dbb-a31c-2d449f272c62 · inbound
Morphling: Fast, Fused, and Flexible GNN Training at Scale cites this paper.
Morphling: Fast, Fused, and Flexible GNN Training at Scale Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:15:04.964753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63bbc5b3-4df5-4303-bc8d-57d247da4296 · inbound
On Efficient Scaling of GNNs via IO-Aware Layers Implementations cites this paper.
On Efficient Scaling of GNNs via IO-Aware Layers Implementations Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:16:01.143899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6673a501-6be8-442d-90aa-03a2c3afe3fb · inbound
FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training cites this paper.
FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:53:35.832685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.