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Paper Citation Record · LEDGER

Towards Neural Scaling Laws on Graphs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.02054.

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

pith.paper-citation-record.v1
2402.02054 v3

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:34:24.986379Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:52:17.447025Z

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 69a930b5-4f86-4709-83ab-e38a69cf613a · inbound

Scaling Particle Collision Data Analysis cites this paper.

Scaling Particle Collision Data Analysis Towards Neural Scaling Laws on Graphs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:24.986379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:24.986379Z digest=sha256:f5a84142e49563762793c29971791e646812452902357c91c30a05430d4a202d

Observation 9872eca1-0d41-4518-9a90-8dfa01256067 · inbound

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks cites this paper.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Towards Neural Scaling Laws on Graphs

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-09T04:39:47.078535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:39:47.078535Z digest=sha256:2e9a8da6e6f43e8d9e171720764ca99c29abf57dc39e9ede7db71bfa76d62030

Observation 6ad1204f-04b0-4268-bae1-4bf0d17431e3 · inbound

Progressive Scaling Visual Object Tracking cites this paper.

Progressive Scaling Visual Object Tracking Towards Neural Scaling Laws on Graphs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.438355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.438355Z digest=sha256:7cc1028721f9c7f62192dd3fe93e7ab143d6d9370784c1bf9c20b67a025068ba

Observation 407dea3e-1bec-4c18-9d76-0c289c1b78c7 · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory Towards Neural Scaling Laws on Graphs

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:17.448581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T04:45:34.957298Z digest=sha256:07bf557b50c38a0d85d10815cf056adbffc38425c6c705c420109b7bd3d5e99d