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Paper Citation Record · LEDGER

Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.07200.

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

pith.paper-citation-record.v1
2102.07200 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:42:58.378110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:56:31.163352Z

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 280b65ca-ad59-4c98-91b6-e8b6a233bc88 · inbound

OpenAg: Democratizing Agricultural Intelligence cites this paper.

OpenAg: Democratizing Agricultural Intelligence Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:42:58.378110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:42:58.378110Z digest=sha256:45034c00404b7a2ef85d008d0088109f361a199d8ec3766e70ee9af1903de059

Observation 19c4d09b-9cd8-41bc-8ad1-df44e499079c · inbound

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models cites this paper.

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:12.761166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:12.761166Z digest=sha256:bd7f4b58f6b557667884c682806c00504208f9856a6cc5f8d294875a8a2bdab3

Observation 719425a6-ef1d-4fde-bae5-9a25adc74cf3 · inbound

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions cites this paper.

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:31.167394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:46:55.809501Z digest=sha256:cef929742eaaf1b656e84b881aa10fd6ffbfc753e4b9aeebf0a4814de44a655b