Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.09981.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:07:22.508170Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T07:34:22.012915Z
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 2b1d281d-2b4f-4ff6-abe9-9ab704b366d8 · inbound
Understanding Graph Databases: A Comprehensive Tutorial and Survey cites this paper.
Understanding Graph Databases: A Comprehensive Tutorial and Survey GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:07:22.508170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9303473d-12ac-4f21-9273-18487077417a · inbound
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation cites this paper.
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:40:40.485940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 80a49680-be09-4bf0-a78b-882c548a1be3 · inbound
Bilevel Optimization for Neural Architecture Search cites this paper.
Bilevel Optimization for Neural Architecture Search GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:34:22.014589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.