Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.14720.
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 2026-08-05T20:19:49.079699Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T19:35:32.833962Z
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 c9cfe5e8-fad5-4f55-bd24-66af20765abd · inbound
MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks cites this paper.
MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:19:49.079699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3db0f5ec-c164-4b5d-93e6-7c5bd15ef8d4 · inbound
Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection cites this paper.
Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:25:19.976073Z
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 7f7e2c9d-4ebc-4487-a43b-63953f57030f · inbound
ProvICS: A Provenance-based Intrusion Detection for Industrial Control Systems cites this paper.
ProvICS: A Provenance-based Intrusion Detection for Industrial Control Systems Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:35:32.835559Z
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.