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Paper Citation Record · LEDGER

Domain Adaptive Safety Filters via Deep Operator Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14528.

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

pith.paper-citation-record.v1
2410.14528 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:08.244227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:44:25.132208Z

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 4bb476a4-a887-4918-b18a-f05b2c1115dc · inbound

Safe PDE Boundary Control with Neural Operators cites this paper.

Safe PDE Boundary Control with Neural Operators Domain Adaptive Safety Filters via Deep Operator Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.244227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.244227Z digest=sha256:a6b09bc12803fcd938d33a380067083cfc8276225f77788a4455d746d55f5860

Observation 30e6ce5f-9ffa-4af2-b3b4-71c6ecfd6fd6 · inbound

Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining cites this paper.

Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining Domain Adaptive Safety Filters via Deep Operator Learning

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:44:25.137875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T23:44:25.079069Z digest=sha256:29eca20b241b82d16ad2e94caa2cc61c750af8e5c43403a89428801fae1a680d