Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Neural Network Approach to Inverse Problems in Differential Equations
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.07758.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:52.458086Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T02:59:25.084772Z
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 7ae247d0-b0cb-4ab4-a6ee-efc273ce2ccb · inbound
A Memory Efficient Adjoint Method to Enable Billion Parameter Optimization on a Single GPU in Dynamic Problems cites this paper.
A Memory Efficient Adjoint Method to Enable Billion Parameter Optimization on a Single GPU in Dynamic Problems The Neural Network Approach to Inverse Problems in Differential Equations
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:52.458086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17fb9e26-47bc-45c4-b6cb-3d48868c4ee5 · inbound
FrequencyFormer: A Co-Designed Sensor-to-Processor Pipeline for Frequency-Domain Vision Transformer Inference cites this paper.
FrequencyFormer: A Co-Designed Sensor-to-Processor Pipeline for Frequency-Domain Vision Transformer Inference The Neural Network Approach to Inverse Problems in Differential Equations
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T02:59:25.086323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 778570c3-cbd2-4d65-86c8-dc5066ec18b9 · inbound
Neural operators solve inverse problems for constitutive model discovery cites this paper.
Neural operators solve inverse problems for constitutive model discovery The Neural Network Approach to Inverse Problems in Differential Equations
Reference 300
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:22:20.324914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.