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Paper Citation Record · LEDGER

Globally injective and bijective neural operators

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.03982.

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

pith.paper-citation-record.v1
2306.03982 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:33:25.262964Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T05:16:20.697099Z

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 29c4a682-ad46-4907-844d-606a30e0115b · inbound

Can neural operators always be continuously discretized? cites this paper.

Can neural operators always be continuously discretized? Globally injective and bijective neural operators

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:25.262964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:25.262964Z digest=sha256:41d587f3ff5fd00fd3180fb67be1f214ffb09cc6eaf39d479342411d0dc5de48

Observation ef6a8941-78ac-46b6-9612-a0f811e67e68 · inbound

Is In-Context Universality Enough? MLPs are Also Universal In-Context cites this paper.

Is In-Context Universality Enough? MLPs are Also Universal In-Context Globally injective and bijective neural operators

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-09T05:16:20.750418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T05:16:19.873240Z digest=sha256:4852db551422726692a6d1e01e245c72d715e010969dc097a13f31eea83b8a5c