Paper Citation Record · LEDGER

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2305.18365.

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

pith.paper-citation-record.v1
2305.18365 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:01.598400Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:40:51.487410Z

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 dfeafab7-d72b-436c-92db-c32654602738 · inbound

Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:58:55.284078Z

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 ddd54f2d-b16d-4d98-8853-18671dd89a5d · inbound

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints cites this paper.

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:18.426703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c093cd24-2a2c-48c4-92a6-d3b3ee53b8f6 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:51.609306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09365e61-30d5-4848-8b67-e85dec92e0f2 · 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 What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:01.598400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532e4619-8257-4dc0-b5aa-368fdea44713 · inbound

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges cites this paper.

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:49:21.044088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49499938-8688-4888-8910-ed3dd461f591 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.490510Z

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 0ea4da65-62fd-4789-862d-09316268795d · inbound

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:27.759990Z

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 cb50ad2d-dc51-461d-82e3-4daedb30d7ab · inbound

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:42:42.033712Z

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 e8aa7470-3f9a-47d0-8426-904a77dcd646 · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:26.460442Z

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 64164e8f-b797-42d8-97c9-6c20f973272c · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:03.175165Z

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.