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Paper Citation Record · LEDGER

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.16654.

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

pith.paper-citation-record.v1
2506.16654 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:52:34.064678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:27.502855Z

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 5f1847c1-8668-4e2f-aa17-b1ffb8d7adaa · inbound

RelGT-AC: A Relational Graph Transformer for Autocomplete Tasks in Relational Databases cites this paper.

RelGT-AC: A Relational Graph Transformer for Autocomplete Tasks in Relational Databases Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:27.504446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:45:28.119622Z digest=sha256:efe4702f2737a29644fa0176cec00e1282d78dc0491f56307d58b944cb972b8b

Observation 3393861e-d46e-4287-a35c-e61155833986 · inbound

UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure cites this paper.

UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T14:52:34.064678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:52:34.064678Z digest=sha256:2b4c06e3e9f79842ba5957ea0a99f8841db82deba9b6ec5e1031cc14604bde02