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Paper Citation Record · LEDGER

Transforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01006.

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

pith.paper-citation-record.v1
2404.01006 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:41:09.408900Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:44:02.969207Z

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 3c4ca1fa-c43c-49aa-a186-184d266a4fe1 · inbound

AI-driven inverse design of materials: Past, present and future cites this paper.

AI-driven inverse design of materials: Past, present and future Transforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-12T20:41:09.408900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:41:09.408900Z digest=sha256:1681b4960a6a2f28543e275062b780e533b6cde9663e8ce77acc554506c4ec6c

Observation 8d3d64af-7b3b-49ad-8f4b-9d200417f9b8 · inbound

AI-driven materials design: a mini-review cites this paper.

AI-driven materials design: a mini-review Transforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:44:02.975134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T10:44:02.909841Z digest=sha256:142adce64ee8189021d1e4521307a0cfabe35faac63bd70d56b702f9b10f419e