Paper Citation Record · LEDGER

A Review of Large Language Models and Autonomous Agents in Chemistry

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.01603.

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

pith.paper-citation-record.v1
2407.01603 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 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:22:24.869650Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df6ab75d-d2b4-4c42-81fa-9d85af6ac3e6 · inbound

In Context Learning and Reasoning for Symbolic Regression with Large Language Models cites this paper.

In Context Learning and Reasoning for Symbolic Regression with Large Language Models A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:53:21.180606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7c9e106-e2b8-439c-a944-2bf504f5dadd · inbound

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain cites this paper.

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:24.869650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953bbad9-056a-427d-9226-372a55f8c8a8 · inbound

Combining knowledge graphs and LLMs for hazardous chemical information management and reuse cites this paper.

Combining knowledge graphs and LLMs for hazardous chemical information management and reuse A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:44.056468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3b6aee-985f-461c-a322-2175224cba9c · inbound

From Generalist to Specialist: A Survey of Large Language Models for Chemistry cites this paper.

From Generalist to Specialist: A Survey of Large Language Models for Chemistry A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:44:27.379285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0015af52-f8b5-47f9-ba6c-71ca712e148d · inbound

Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs cites this paper.

Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:11.500738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9556cd6a-6fa5-41bd-97cf-e62f9aac9a43 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:17:15.264262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7e043ce-bebf-45e9-a37f-259b9ca99a75 · inbound

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration cites this paper.

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:49.024303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8918bdb8-ffad-4530-8e19-41ee9541ffaa · inbound

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation cites this paper.

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:23.568364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c7f737d-09b0-44dd-a65e-73c3982ce013 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:31:07.393025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66eb9cad-d97f-4d53-80a7-f788354b5455 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines A Review of Large Language Models and Autonomous Agents in Chemistry

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T12:03:25.587822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.