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Paper Citation Record · LEDGER

Cached Operator Reordering: A Unified View for Fast GNN Training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.12093.

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

pith.paper-citation-record.v1
2308.12093 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:36:09.152869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:16:01.119552Z

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 56e76920-b544-4270-acd1-4f1ad952d3ae · inbound

Higher-Order Graph Databases cites this paper.

Higher-Order Graph Databases Cached Operator Reordering: A Unified View for Fast GNN Training

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T18:36:09.152869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:36:09.152869Z digest=sha256:ed7f17b0950d157d3dc09e09f74b2d2c86575996089a0346d95b082aea25ce2a

Observation 7280fb9c-80e7-4e8b-92dc-93529fbd85aa · inbound

On Efficient Scaling of GNNs via IO-Aware Layers Implementations cites this paper.

On Efficient Scaling of GNNs via IO-Aware Layers Implementations Cached Operator Reordering: A Unified View for Fast GNN Training

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:16:01.121187Z

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.

source=pdf_text observed=2026-06-28T22:52:59.081816Z digest=sha256:2effd5722c9b237bc51aae918309529b332e0f8eb8d3fe29d149441b8fcd96c8