Paper Citation Record · LEDGER

Can Large Language Models Empower Molecular Property Prediction?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.07443.

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

pith.paper-citation-record.v1
2307.07443 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:21.808406Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.223519Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 7cb28aaa-0565-49a6-b5f8-b04bcf1e301a · 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 Can Large Language Models Empower Molecular Property Prediction?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:45:42.488208Z

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.

Observation 44f8aa82-6abc-41f8-b2c1-8cb62dd3d1f1 · inbound

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Can Large Language Models Empower Molecular Property Prediction?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:22.825974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc00b0c0-45b8-4e29-b6b8-a444ef4dc7dd · inbound

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases cites this paper.

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases Can Large Language Models Empower Molecular Property Prediction?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T19:56:15.467937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84981834-1e3b-4888-a6d8-30173cd5d968 · inbound

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models cites this paper.

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models Can Large Language Models Empower Molecular Property Prediction?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.808406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50e921c-ebbc-4cdb-9c12-8de10c1f4d9e · inbound

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation Can Large Language Models Empower Molecular Property Prediction?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:44.936785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82186c2-b469-46bf-86ef-f34c6ea8674c · inbound

NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing cites this paper.

NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Can Large Language Models Empower Molecular Property Prediction?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:03.788529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb83d06-448b-446b-960c-b1f31581e09e · inbound

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification cites this paper.

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification Can Large Language Models Empower Molecular Property Prediction?

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.225012Z

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.