Paper Citation Record · LEDGER

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.01626.

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

pith.paper-citation-record.v1
2409.01626 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:02.544750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:04:52.534610Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 5f9b0c62-b8a2-4a6f-9817-c4bf444a7e3d · inbound

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks cites this paper.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T23:44:02.544750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2557e4c-19f9-45fe-9be5-2d5d4acea59f · inbound

Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting cites this paper.

Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:04:52.537632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bce75bd4-7cc2-4bf0-822d-c16387558097 · inbound

Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification cites this paper.

Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:06:16.483940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e606e458-600e-4326-9aaa-f721dfe093a5 · inbound

Mitigating Barren Plateaus in Variational Quantum Circuits through PDE-Constrained Loss Functions cites this paper.

Mitigating Barren Plateaus in Variational Quantum Circuits through PDE-Constrained Loss Functions AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:21:00.475342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.