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Paper Citation Record · LEDGER

Can Large Language Models Empower Molecular Property Prediction?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:03.788529Z

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
  • 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 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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T16:45:16.544663Z digest=sha256:ced1a5d066656a5633fa27413c67e538d813d91ddc6dbf64515b9830f8e012bd

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.

source=pdf_text observed=2026-08-07T11:56:44.936785Z digest=sha256:d4c7aeea19c608c003a3f3a7a9b5c07be5b05bfe653fcab276dadf2dd32d332e

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.

source=pdf_text observed=2026-08-07T13:24:03.788529Z digest=sha256:4bd5f3ec1afa531001583e57fecdf82d7cb4d91648d466cc81270981455775d1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T12:19:23.229663Z digest=sha256:d6094e5109a7b7217687898d243088aeb69c2916354ac9575e75d5d4caee4b83