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Paper Citation Record · LEDGER

Linearization Turns Neural Operators into Function-Valued Gaussian Processes

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.05072.

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

pith.paper-citation-record.v1
2406.05072 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:56.666336Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:15:43.795262Z

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 0ff90a16-4711-49bd-b389-1555c17406aa · inbound

laplax -- Laplace Approximations with JAX cites this paper.

laplax -- Laplace Approximations with JAX Linearization Turns Neural Operators into Function-Valued Gaussian Processes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:56.666336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:56.666336Z digest=sha256:e76cc76c587a87e8b68c601a5e51c5d6c813ad1a6c9af365c20974a9379a0b09

Observation e09b7c5d-7c27-494b-8dd5-096db0cab15b · inbound

Locally Adaptive Conformal Inference for Operator Models cites this paper.

Locally Adaptive Conformal Inference for Operator Models Linearization Turns Neural Operators into Function-Valued Gaussian Processes

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:15:43.801113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T13:15:42.393448Z digest=sha256:c21a59a3b491e16038e410cf9ae54ff2454262ad13a082adbea5b8297c68b5fb