Pith. sign in

Paper Citation Record · LEDGER

Equivariant Graph Neural Operator for Modeling 3D Dynamics

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.11037.

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

pith.paper-citation-record.v1
2401.11037 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:47:18.687819Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:37:29.939754Z

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 f0227948-e2f2-4eb6-b284-762b7bf45dcc · inbound

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond cites this paper.

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T16:47:18.687819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:47:18.687819Z digest=sha256:a5b0dcba61504f7a7ebdc510408aa39d0db98f9f3319099586a368a495eaaeb6

Observation c9391c0e-8d33-48ce-995d-ad5ca81337a8 · inbound

Graph-Based Operator Learning from Limited Data on Irregular Domains cites this paper.

Graph-Based Operator Learning from Limited Data on Irregular Domains Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:44.050866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:44.050866Z digest=sha256:e0f194801fa8e4125df33766a14e0768b2263e728d5b4afd179f05104df97058

Observation ea3fab11-f049-478a-8377-fddeb27d0f2f · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:46.945188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:46.945188Z digest=sha256:5209ad76f9d789a21ca09ff69313615122e7e9169d9088b5a45306ec04bdd1fb

Observation dfc23436-eaf2-4831-b390-a457eb557b5c · inbound

Predicting Thermodynamics of Liquid Water from Time Series Analysis cites this paper.

Predicting Thermodynamics of Liquid Water from Time Series Analysis Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:37.101606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.101606Z digest=sha256:355aa89989ac4718966b62e73f63b5b5e0d2384e377179726f68d6c884b95f10

Observation 7631930a-5b74-4a74-91f4-9fcdaa6e5e75 · inbound

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling cites this paper.

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:01:13.618825Z

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.

source=pdf_text observed=2026-05-18T09:57:31.774637Z digest=sha256:8d83f862fa779af21689944aaffc123cbfb53ba4e760f2545fb6671145c22811

Observation 94f12f6e-4c86-483f-b964-9b9b70a0931c · inbound

Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models cites this paper.

Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:50:48.295637Z

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.

source=pdf_text observed=2026-05-18T02:50:32.870296Z digest=sha256:7d68638260eec94d62cf889d86f49ba49df744cf5fe3b86aee9a3c70fabb6f91

Observation baeefa3b-b535-460d-b121-81da8f506861 · inbound

NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers cites this paper.

NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:36.327171Z

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.

source=pdf_text observed=2026-05-18T01:34:40.453715Z digest=sha256:a80c76de728b7fb2fe1e0a2103bb31cfe92f1602b6b6a85e17a1f3264212275b

Observation 1e98d962-8031-4f23-8c14-ca753e6bf2c4 · inbound

AeTHERON: Autoregressive Topology-aware Heterogeneous Graph Operator Network for Fluid-Structure Interaction cites this paper.

AeTHERON: Autoregressive Topology-aware Heterogeneous Graph Operator Network for Fluid-Structure Interaction Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:40:23.995664Z

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.

source=pdf_text observed=2026-05-10T12:39:34.792801Z digest=sha256:e327cd02650e816cf64c03cc55a27a041a9b94fc029fa470a5ddea66056587a8

Observation 05592d22-6bee-458c-81b1-4da53a061a99 · inbound

Improving Molecular Force Fields with Minimal Temporal Information cites this paper.

Improving Molecular Force Fields with Minimal Temporal Information Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:01.218000Z

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.

source=pdf_text observed=2026-05-10T16:02:15.201210Z digest=sha256:d5be93907ebba61817f80ad580be9c041a7b583d3f36b631f5ab79dac945e136

Observation c8d2a303-bfc4-4602-9802-df2eb5ac5a7c · inbound

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs cites this paper.

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:16:26.933718Z

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.

source=arxiv_source observed=2026-06-28T11:03:59.241935Z digest=sha256:8d3a88f53ef1d27d99d75888cfac39cf180fbbccab1ed73b2e8fc5489ac4891e

Observation 293c8195-5460-4a5c-a2c0-8b3730ab4d73 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Equivariant Graph Neural Operator for Modeling 3D Dynamics

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:37:29.941196Z

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.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:9ea1240f96ef6b6eb68f10f039a9e6f40f245d56f53131be6b623b66cf578459