Paper Citation Record · LEDGER

Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.07161.

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

pith.paper-citation-record.v1
2106.07161 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:59:06.693038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:55:58.393206Z

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 e18fa079-2180-42aa-ba55-f61d70f69273 · inbound

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction cites this paper.

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T11:59:06.693038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdf45e6a-6ba9-454c-bae6-d68f7db9c0da · inbound

PyG 2.0: Scalable Learning on Real World Graphs cites this paper.

PyG 2.0: Scalable Learning on Real World Graphs Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:07.574132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3ea28c-d600-4b21-9939-24f66d77f01b · inbound

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids cites this paper.

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:23.075477Z

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.

Observation ed3b7f08-2d0c-4710-a65c-e1f6ca3170db · inbound

hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways cites this paper.

hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.394907Z

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.