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Paper Citation Record · LEDGER

All in One: Multi-task Prompting for Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.01504.

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

pith.paper-citation-record.v1
2307.01504 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:49:20.350908Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 039bb375-ec02-424c-a5fe-0d01b8c69183 · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting All in One: Multi-task Prompting for Graph Neural Networks

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:49:34.716751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:49:20.350908Z digest=sha256:7634a1e315199da920b79ab5d6ddc5aa7a345d19077fac66e2fecd2489655228

Observation 21ee37e3-1625-4f5e-8d4a-a7cea4fc45dc · inbound

Attacking Graph Foundation Models Through Their Shared Representation cites this paper.

Attacking Graph Foundation Models Through Their Shared Representation All in One: Multi-task Prompting for Graph Neural Networks

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-01T15:05:37.534302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:05:37.534302Z digest=sha256:5dca91e6336ab0982fca879f9757c5c83920f1056aa35fca39341155efb8a227