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Paper Citation Record · LEDGER

GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1812.04206.

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

pith.paper-citation-record.v1
1812.04206 v2

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:02:20.558219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T17:04:50.319350Z

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 75f26379-94d2-466d-b97e-0293a82934b1 · inbound

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions cites this paper.

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T12:02:20.558219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:02:20.558219Z digest=sha256:210b32e3115cd78cc90a6476bdf6d9d2e8c22df9ad4a22530a8c01e66c636b71

Observation c2cdde1d-619e-4236-8958-95fb6df074fc · inbound

Temporal Graph Networks for Deep Learning on Dynamic Graphs cites this paper.

Temporal Graph Networks for Deep Learning on Dynamic Graphs GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-17T17:04:50.322089Z

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.

source=arxiv_source observed=2026-05-17T17:04:50.111090Z digest=sha256:64ffde0237c3537dd6a13869349ba94def1ba35e83879b71e74d648ff08f2e09

Observation 967d2d3f-67f9-4514-9fe7-723df11cc5da · inbound

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs cites this paper.

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:34.048140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:46:34.048140Z digest=sha256:8836326687ecfe3e8b77e37fcb813be79250537e1ad3f7c97150e08a3f9bd554