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Paper Citation Record · LEDGER

Graph Neural Networks Including Sparse Interpretability

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.00119.

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

pith.paper-citation-record.v1
2007.00119 v1

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:32:26.797209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T07:55:31.674111Z

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 9479d336-ab8c-4d6a-a040-b17de836b7f3 · inbound

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective cites this paper.

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective Graph Neural Networks Including Sparse Interpretability

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T11:32:26.797209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:32:26.797209Z digest=sha256:9c4f555fc30d1cbf4cc046d641a64ae586df610103f277d21bbe6e42adc5bb45

Observation 266c85f0-3387-4081-82b5-c4a9de7a0a2a · inbound

Aitchison Embeddings for Learning Compositional Graph Representations cites this paper.

Aitchison Embeddings for Learning Compositional Graph Representations Graph Neural Networks Including Sparse Interpretability

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:29.478965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T19:28:00.793223Z digest=sha256:09999365f55debb556f7ffaac0ed28f36513d22aea7594b12ff0b5f604a2cf55

Observation fee3da04-a3c5-493e-9ff5-0de781dd8bc5 · inbound

Aitchison Embeddings for Learning Compositional Graph Representations cites this paper.

Aitchison Embeddings for Learning Compositional Graph Representations Graph Neural Networks Including Sparse Interpretability

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:55:31.676283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T07:43:22.946036Z digest=sha256:3d77070e40642871f5df4f963f1413b280d82b6b097f0337a4596653283da1c5