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Paper Citation Record · LEDGER

Adversarial Learning for Neural PDE Solvers with Sparse Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.02431.

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

pith.paper-citation-record.v1
2409.02431 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:10.751436Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:00:03.388696Z

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 1b5a46c7-aa8e-4009-9b90-615643537c12 · inbound

GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation cites this paper.

GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation Adversarial Learning for Neural PDE Solvers with Sparse Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:10.751436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:10.751436Z digest=sha256:e915619df525e970638f34f4e8b3c1d709df2baeefe8afe2aa39b30339a2acf5

Observation 6079d342-f93b-4f91-92a1-61c2daa5b5fd · inbound

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency cites this paper.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Adversarial Learning for Neural PDE Solvers with Sparse Data

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:47:50.370161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:47:50.370161Z digest=sha256:9772f007b52521c5bba5678294b9f55b173910a9441b5781eac4d52810301eb5

Observation 3bcd8310-5726-4b88-a7b0-9f0ad4c3b511 · inbound

FADE: Adversarial Concept Erasure in Flow Models cites this paper.

FADE: Adversarial Concept Erasure in Flow Models Adversarial Learning for Neural PDE Solvers with Sparse Data

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:00:03.427058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:00:00.481391Z digest=sha256:2973c9a35ebf4a8eecbcb5e48bf7cda1961d1e3b3ae61afbe55bbaa33ff6dfec