Paper Citation Record · LEDGER

MolXPT: Wrapping Molecules with Text for Generative Pre-training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.10688.

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

pith.paper-citation-record.v1
2305.10688 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:29:59.036727Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:32:41.351024Z

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 c61ea3bc-a4d7-4da4-9208-d8f17234d04d · inbound

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints cites this paper.

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints MolXPT: Wrapping Molecules with Text for Generative Pre-training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T19:29:59.036727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddffe5e8-10d5-4d5c-8c55-ab2bccbed9a1 · inbound

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools cites this paper.

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools MolXPT: Wrapping Molecules with Text for Generative Pre-training

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:53.648250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77549415-070e-4083-9ca8-9d0d4391e02f · inbound

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs cites this paper.

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs MolXPT: Wrapping Molecules with Text for Generative Pre-training

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:32:41.355674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef831e01-85b4-40b4-804f-eebed8acf5a4 · inbound

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design cites this paper.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design MolXPT: Wrapping Molecules with Text for Generative Pre-training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:48:27.124070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.