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Paper Citation Record · LEDGER

PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.04038.

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

pith.paper-citation-record.v1
2402.04038 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:12:00.754288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:55.898163Z

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 9ee6703e-807b-4750-a0c8-f079a2054fb9 · inbound

Generalization Performance of Hypergraph Neural Networks cites this paper.

Generalization Performance of Hypergraph Neural Networks PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:00.754288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:00.754288Z digest=sha256:c64ea785571e5045daf71f3526a76b06d551fd13ffcd6ca7e284ec45283f640f

Observation f2cd7df2-6f7f-4c6b-b7c1-9903a46fdb73 · inbound

Topology-Aware PAC-Bayesian Generalization Analysis for Graph Neural Networks cites this paper.

Topology-Aware PAC-Bayesian Generalization Analysis for Graph Neural Networks PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:05:59.168894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:50:38.213750Z digest=sha256:ee030ce95dde7be4681603863d946fd6b799b87078ea7d2a5fa70162d4ff54dc

Observation a9003edb-75cf-423a-bf33-1106b786d6cd · inbound

PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis cites this paper.

PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:55.899885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T02:58:52.293969Z digest=sha256:9fff8f7895dd03f45d57255e7a8d244fe4b5cb4ba9e31ae9a87a5354bd12e045