Paper Citation Record · LEDGER

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1801.07606.

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

pith.paper-citation-record.v1
1801.07606 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:16.963728Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T13:39:51.022374Z

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 0772e988-07a4-45a4-98bf-7c477812e0fb · inbound

LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning cites this paper.

LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:16.963728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6041861-4fef-4893-b82d-12a7d2281603 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.617047Z

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.

Observation 6f9fc35d-5c00-4e7e-978e-16d223947fb5 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 117

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:37:19.132831Z

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.

Observation 5f5b9be4-251f-4784-83c0-9508c1aa0abe · inbound

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision cites this paper.

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:39:51.023661Z

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.

Observation fa64f255-c770-4a47-805b-7cfd3ff1f80d · inbound

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision cites this paper.

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T10:07:04.183165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f568c6-942a-46b7-b9a3-389a18881094 · inbound

Perspectives on Tsallis Statistics for Artificial Intelligence cites this paper.

Perspectives on Tsallis Statistics for Artificial Intelligence Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T00:33:17.975036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.