Pith. sign in

Paper Citation Record · LEDGER

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy

As of 9 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2506.08073.

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

pith.paper-citation-record.v1
2506.08073 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:25:45.585218Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 378d1fb1-842b-4c78-af55-8311c2cf2559 · outbound

This paper cites an unresolved cited work.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T05:25:45.641407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:25:45.543809Z digest=sha256:58f0e5aa018765956322efa13d0e025c7250774fc2f0a4529796908444fe7a4a

Observation 67f9c442-65de-4483-be6c-2f7ef811e0d9 · outbound

This paper cites Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:45.585218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:45.585218Z digest=sha256:1b46463cd18acb585d75f3fce298cfdf14efca03652c44f457053ec075727f3f

Observation fa802f9e-f370-4db3-9512-556bdd7238cc · outbound

This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:45.578215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:45.578215Z digest=sha256:e18684b0a99cd40aaf773ba73022a901f0a28799ac3e8c7ac16c002789e17af5

Observation 49845bc4-1f38-47a7-9d0e-2fba8da27ce1 · outbound

This paper cites (14) Low, A.; Lim, Y .-F .; Hippalgaonkar, K.; Vissol-Gaudin, E.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy (14) Low, A.; Lim, Y .-F .; Hippalgaonkar, K.; Vissol-Gaudin, E

Reference 995

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:45.557903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:45.557903Z digest=sha256:a4bcf73e445d6ac7fb065ccbd658b59c77929829f9eefdb745a74d3f30953dca

Observation a00bcc8e-d726-4af2-842a-5e38ce301059 · outbound

This paper cites Domain-wall engineering and topological defects in ferroelectric and ferroelastic materials.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy Domain-wall engineering and topological defects in ferroelectric and ferroelastic materials

Reference 2019

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:25:45.900960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:25:45.550833Z digest=sha256:507735eea016cd094ce4dc5804f5da4691aa849233fff99166f976be55f59400

Observation 2f0cf74f-633b-4689-bfde-a4dfbaf9de51 · outbound

This paper cites Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:25:45.732586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:25:45.564316Z digest=sha256:9e8ce2ffca79db56c2ea418fdf7739b05aeeed90cb6442dc7086bbcb9c9e8915

Observation 708b8f8b-8e82-4037-8628-2b03aba551d3 · outbound

This paper cites Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS.

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS

Reference 3120

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:25:45.706827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:25:45.571621Z digest=sha256:56aa48a301945c7b0f008c2321e101c1f9f4925e0948c3abf0eccdc3c57cdfc9

Pith citing papers

No inbound Pith citation observations are available.