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Paper Citation Record · LEDGER

THeGCN: Temporal Heterophilic Graph Convolutional Network

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.16435.

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

pith.paper-citation-record.v1
2412.16435 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:49:14.760975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:31:22.298494Z

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 772ae33a-63f9-4afb-bd24-6d3d0176b90b · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence THeGCN: Temporal Heterophilic Graph Convolutional Network

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T23:49:14.760975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:49:14.760975Z digest=sha256:c184cfaf0c953a426a197f3ab1760f82c900cf959fd9625e5f9563576205b6c1

Observation b832d4ac-f511-4c7e-babe-82d3ffe72cda · inbound

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting THeGCN: Temporal Heterophilic Graph Convolutional Network

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:00.361040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:00.361040Z digest=sha256:9c744ca01d3052ddd5082ba763c2f1f7e683694b5d589d9cfbb7865d755edd2f

Observation 86e5c2eb-f2ab-4dca-975d-da965463acee · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation THeGCN: Temporal Heterophilic Graph Convolutional Network

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:31:22.301309Z

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=2026-05-15T17:30:44.919870Z digest=sha256:319e7c215449b7ecb84dcfdf3b56d02108c1b095fb2b9af5794cd51b84f23dee