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Paper Citation Record · LEDGER

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.16560.

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

pith.paper-citation-record.v1
2310.16560 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:50:37.199763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T10:50:37.441789Z

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 0605e699-ef43-44c6-8500-73f59402a199 · inbound

FedRGL: Robust Federated Graph Learning for Label Noise cites this paper.

FedRGL: Robust Federated Graph Learning for Label Noise Resurrecting Label Propagation for Graphs with Heterophily and Label Noise

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:50:37.448057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T10:50:37.199763Z digest=sha256:38c1d8cb1bb498bb503e414787e8cea6ea40b064563f56e26bb9376d73e9d799

Observation 63684015-0727-44aa-bd1c-4003626b058a · inbound

A Near-Linear-Time Solver for Graph $p$-Laplacian Semi-Supervised Learning via Continuation in $p$ cites this paper.

A Near-Linear-Time Solver for Graph $p$-Laplacian Semi-Supervised Learning via Continuation in $p$ Resurrecting Label Propagation for Graphs with Heterophily and Label Noise

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T02:02:31.229058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:02:31.229058Z digest=sha256:3f2dadb584958863544c652dc2a68450cf76cdcd02803f7f9cb383d17897083a