Paper Citation Record · LEDGER

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.12143.

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

pith.paper-citation-record.v1
2403.12143 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:53:28.844541Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:42.740606Z

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 64c301f1-7477-4a88-95e4-0b2de6192867 · inbound

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights cites this paper.

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T20:53:28.844541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f5f212-c851-4d20-aa39-04ac6405144a · inbound

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion cites this paper.

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:01:42.536981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdd7f904-555a-454a-912c-ebcf6ba5eae1 · inbound

Deep Active Inference Agents for Delayed and Long-Horizon Environments cites this paper.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.316959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68155baa-2bb3-400b-963a-188f47a938bb · inbound

On the Expressive Power of Permutation-Equivariant Weight-Space Networks cites this paper.

On the Expressive Power of Permutation-Equivariant Weight-Space Networks Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T05:57:09.482523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c94fd68f-50db-4c4e-a144-88e2690a4804 · inbound

Approximate Energy-Integration Method for Identifying Collisional Neutrino Flavor Instabilities cites this paper.

Approximate Energy-Integration Method for Identifying Collisional Neutrino Flavor Instabilities Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T14:38:02.703338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6094792-5576-410c-bbf7-64927b7129e0 · inbound

Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space cites this paper.

Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:08:42.742350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.