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Paper Citation Record · LEDGER

Machine Learning-guided Lipid Nanoparticle Design for mRNA Delivery

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.01402.

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

pith.paper-citation-record.v1
2308.01402 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:04:57.113849Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:21:43.979351Z

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 a45c338b-a583-428c-aae3-ecf7f8625b20 · inbound

Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach cites this paper.

Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach Machine Learning-guided Lipid Nanoparticle Design for mRNA Delivery

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:04:57.113849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:04:57.113849Z digest=sha256:4664ca3fea839ea2227f34de7b39ff97bd2b3fa06dd0eef4a82509154ee1f99a

Observation 7cae0bee-67f2-43c7-ab05-686ff2833abb · inbound

A Machine Learning Benchmarking Framework for Lipid Nanoparticle Transfection Efficiency Prediction cites this paper.

A Machine Learning Benchmarking Framework for Lipid Nanoparticle Transfection Efficiency Prediction Machine Learning-guided Lipid Nanoparticle Design for mRNA Delivery

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T20:21:44.037401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:21:40.133943Z digest=sha256:5b878104971e359c9ab72025db21cbe59fb097fa027234498a1ce993d76318c8