Paper Citation Record · LEDGER

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.11104.

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

pith.paper-citation-record.v1
2408.11104 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:09.345143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:49.023437Z

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 898d5f78-db58-44e4-8a64-a3e84f7b9f9f · inbound

Fitting Coarse-Grained Models to Macroscopic Experimental Data via Automatic Differentiation cites this paper.

Fitting Coarse-Grained Models to Macroscopic Experimental Data via Automatic Differentiation ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T20:59:57.701825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b006c3-ea8d-473d-b747-29ced1a35f77 · inbound

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics cites this paper.

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T10:23:14.221164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c9e22c-fc52-438f-8ec1-d5025bac18fc · inbound

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks cites this paper.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:09.345143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b1d996c-5774-4840-ae2a-637b8de52066 · inbound

Sobolev Training of End-to-End Optimization Proxies cites this paper.

Sobolev Training of End-to-End Optimization Proxies ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.446678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce9aed1-c445-49eb-8632-962f0e31f43b · inbound

When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions cites this paper.

When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:06:14.583409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 724dc669-393c-49cc-aec5-1102334aad80 · inbound

Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes cites this paper.

Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:49.028818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0706066-3610-449b-81a0-3e70279ccc1d · inbound

Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation cites this paper.

Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-31T02:22:20.498713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e384814c-9558-4668-9d12-d4041723d24e · inbound

Finite basis physics-informed neural networks with hard constraints for viscous fluid flow in highly perforated domains cites this paper.

Finite basis physics-informed neural networks with hard constraints for viscous fluid flow in highly perforated domains ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:22.495909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.