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Paper Citation Record · LEDGER

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.06615.

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

pith.paper-citation-record.v1
2306.06615 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T16:29:39.121390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:37:09.112236Z

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 d52c4e46-0c6d-4428-9f97-b98423c31a4e · inbound

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts cites this paper.

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:45:42.510117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T16:45:16.544663Z digest=sha256:e69a1ea8f3d405111c8674b6bf732860fa623703338679f5161e9813521fa4d3

Observation 90d1fdd0-c112-435e-bad0-7f7f6d4cde5e · inbound

MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules cites this paper.

MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:37:09.113726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T16:29:39.121390Z digest=sha256:02e0638a2adfeec5c70a93d3d38a0ebc71292c82b2fed4443f841a74e9ff916d