Paper Citation Record · LEDGER

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2502.17456.

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

pith.paper-citation-record.v1
2502.17456 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:29:52.994563Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:33:27.860796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:43:26.100936Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy10
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4a3dd26-b0a8-4b92-adae-85cfd666a3c9 · outbound

This paper cites Accessed: 2024-12-29.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Accessed: 2024-12-29

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.359899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f5505f10-ca42-4fed-8fcb-feed6bf58bf0 · outbound

This paper cites Language Models are Few-Shot Learners.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.887915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca32800-0b62-4599-a571-412c7d82cbd0 · outbound

This paper cites Connor W Coley, Luke Rogers, William H Green, and Klavs F Jensen.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Connor W Coley, Luke Rogers, William H Green, and Klavs F Jensen

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.912452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e164d5e-07d0-4da3-b333-d77801fdabf5 · outbound

This paper cites Sourabh Katoch, Sumit Singh Chauhan, and Vijay Kumar.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Sourabh Katoch, Sumit Singh Chauhan, and Vijay Kumar

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.302647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a20c024b-04a6-47f2-8fe9-f560531b5df8 · outbound

This paper cites Are large language models superhuman chemists?.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Are large language models superhuman chemists?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.937403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff7ffcd-e2d4-4625-9aa6-a5c8c560d6ed · outbound

This paper cites Illuminating search spaces by mapping elites.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Illuminating search spaces by mapping elites

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.941853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e179b1-d3c1-424f-a8d3-753d5cc3b4ad · outbound

This paper cites an unresolved cited work.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:29:53.257599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a21b4fe-d188-437c-bb47-e9bada3e37d6 · outbound

This paper cites Predicting retrosynthetic pathways using transformer-based models and a hyper-graph exploration strategy.Chemical science, 11(12):3316–3325, 2020a.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Predicting retrosynthetic pathways using transformer-based models and a hyper-graph exploration strategy.Chemical science, 11(12):3316–3325, 2020a

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.243495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff587074-65f0-4093-9189-069fe3a9e2e4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities LLaMA: Open and Efficient Foundation Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.971471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 766dbb46-bd47-459a-ab6e-5b3bb60dbf01 · outbound

This paper cites Graph Attention Networks.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Graph Attention Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.975943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08072aa2-056e-4958-ba3f-cbc5d6fed52c · outbound

This paper cites The chembl database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods.Nucleic Acids Research, 52(D1):D1180–D1192, 11.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities The chembl database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods.Nucleic Acids Research, 52(D1):D1180–D1192, 11

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.214240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a584e79b-646f-4bb2-b0bc-391be75d1fef · outbound

This paper cites ChemLLM: A Chemical Large Language Model.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities ChemLLM: A Chemical Large Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.989717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a3e2de-3d8b-4758-90cf-6e33333e6017 · outbound

This paper cites Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, and Qing He.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, and Qing He

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.199048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57e0f4bb-1d79-4c72-80d6-450678916beb · outbound

This paper cites Reaxys: A leading chemistry database.www.reaxys.com.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Reaxys: A leading chemistry database.www.reaxys.com

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.317321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6c605de-0f32-448b-a7ae-70d4988b0f25 · outbound

This paper cites Learning to Make Generalizable and Diverse Predictions for Retrosynthesis.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Learning to Make Generalizable and Diverse Predictions for Retrosynthesis

Reference 2015

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:29:53.141116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 05419490-7fa4-4d60-97c5-255490fcc134 · outbound

This paper cites Pubchem 2025 update.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Pubchem 2025 update

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.288286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 144fe077-4a50-402a-9a94-7f0af711ceb7 · outbound

This paper cites Smiles arbitrary target specification.https://www.daylight.com/ dayhtml_tutorials/languages/smarts/index.html.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Smiles arbitrary target specification.https://www.daylight.com/ dayhtml_tutorials/languages/smarts/index.html

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.228107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b15ea26-6ccd-47c4-89ae-aac40c3a3ba0 · outbound

This paper cites Stefan Chmiela, Huziel E.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Stefan Chmiela, Huziel E

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.907792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa65a55-a679-48bc-8d9d-2d41257428f0 · outbound

This paper cites an unresolved cited work.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:29:53.331335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 732e20cd-3ba5-44ff-93a3-0b87e92494f9 · outbound

This paper cites InternLM2 Technical Report.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities InternLM2 Technical Report

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.893162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c01d929-a76c-4016-9055-4c8dd6329303 · outbound

This paper cites IAM graph database repository for graph based pattern recognition and machine learning.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities IAM graph database repository for graph based pattern recognition and machine learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.273457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 389f5278-483d-4fcd-912e-f0d95db72d0c · outbound

This paper cites Distributionally Robust Optimization: A Review.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Distributionally Robust Optimization: A Review

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.946947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb23f5a7-747e-424e-9697-059fe5b6c23c · outbound

This paper cites GPT-4 Technical Report.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T17:29:52.878022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ee6d72-eb42-450f-80fe-41049f596b74 · outbound

This paper cites Molgpt: molecular generation using a transformer-decoder model.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Molgpt: molecular generation using a transformer-decoder model

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:29:53.345313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation f6afc553-b311-4e06-9992-016e906d7cf9 · inbound

MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing cites this paper.

MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:43:26.102756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.