Paper Citation Record · LEDGER

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.10863.

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

pith.paper-citation-record.v1
2305.10863 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:33.744211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:36:15.534138Z

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 773bfda2-fc6a-42b4-8d29-8d420a5fdc86 · inbound

OMEGA: A Low-Latency GNN Serving System for Large Graphs cites this paper.

OMEGA: A Low-Latency GNN Serving System for Large Graphs Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:27:16.914748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b2eb63-1460-4a4d-b110-c2ed54f386ab · inbound

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs cites this paper.

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T12:18:33.744211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb579a6d-b8e6-4087-b74e-1b599e184fac · inbound

PyG 2.0: Scalable Learning on Real World Graphs cites this paper.

PyG 2.0: Scalable Learning on Real World Graphs Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:07.661214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e625ad1a-b8d7-4aa0-9baf-d699fae15130 · inbound

AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments cites this paper.

AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:36:15.535634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.