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Paper Citation Record · LEDGER

Attention-Driven Metapath Encoding in Heterogeneous Graphs

As of 11 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2412.20678.

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

pith.paper-citation-record.v1
2412.20678 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:24.177616Z

measured 9 of 9 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e56e665-37cc-426b-870b-af5a509c841c · outbound

This paper cites Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.117198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.117198Z digest=sha256:9346a9ef4ed1d9ef91bb533f15933dd2d6250a9560c5df6d0039b382bd6b7076

Observation febc0c59-26f7-4e4f-8457-6189f4b5b935 · outbound

This paper cites Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:21:24.391396Z

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=pdf_text observed=2026-08-10T23:21:24.125575Z digest=sha256:1e7b0b361bd8edda031fa8e3178534ef12c48c9bb081ca9cdf1b2e57f81f1395

Observation ed6b9316-0882-465b-abf4-df0bcb2c5b6e · outbound

This paper cites Are we really making much progress? revisiting, benchmarking and refining the heterogeneous graph neural networks.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Are we really making much progress? revisiting, benchmarking and refining the heterogeneous graph neural networks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:21:24.616310Z

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=pdf_text observed=2026-08-10T23:21:24.131762Z digest=sha256:54ccb31e83a71144cd047baa94119f0542606f793e763accf9cc92db47aa19da

Observation 96175b8e-d2b7-47a6-a162-d6dbc51de798 · outbound

This paper cites RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

Attention-Driven Metapath Encoding in Heterogeneous Graphs RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.139609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.139609Z digest=sha256:8c0bc0660cf2f6975908ce3bc47f89e9e49950fb7db4bcd49f01d3f0d07ef856

Observation babf69fb-ab0f-4c9d-a05c-76bf6a1588b7 · outbound

This paper cites Graph Attention Networks.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Graph Attention Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.147340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.147340Z digest=sha256:05d4d5a34f11194a3659434792c9b547ae7b2966284f3b1cd1dd1ef0c86fab5c

Observation d8394918-35f6-477b-bffa-be0a60109dc5 · outbound

This paper cites Multi-hop Attention Graph Neural Network.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Multi-hop Attention Graph Neural Network

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.156107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.156107Z digest=sha256:2a74b2a70a43e39c83fa9b41815ed17d5b8dd5b7a75096dd6cac55f139e5443d

Observation 9054bfb3-2a05-4f03-9c8f-96b1e56530df · outbound

This paper cites Heterogeneous Graph Attention Network.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Heterogeneous Graph Attention Network

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.165214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.165214Z digest=sha256:25d7178c81dcf93b5bb87f4d87484d8006acdd6fde518facf09cd12d7195077b

Observation 7768291e-b5de-4bc3-9f9a-90b5c25c2fa1 · outbound

This paper cites Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:21:24.279952Z

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=pdf_text observed=2026-08-10T23:21:24.171341Z digest=sha256:1ec4b947a0059e6b7c4bf819d45649d016cd6a7b2bd89b9ee28106d468db8980

Observation 37972c97-c6b4-44b1-a064-61e1a941384b · outbound

This paper cites Simple and Efficient Heterogeneous Graph Neural Network.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Simple and Efficient Heterogeneous Graph Neural Network

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.177616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.177616Z digest=sha256:5b27816bdab648b92f33c6e3541e1d5a2983d5270f8e3c4237127407c537f95f

Pith citing papers

No inbound Pith citation observations are available.