Paper Citation Record · LEDGER

Can AI Agents Design and Implement Drug Discovery Pipelines?

As of 17 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2504.19912.

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

pith.paper-citation-record.v1
2504.19912 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:44:03.900770Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy24
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 536a9d2b-80ec-45bf-8965-a32f2a93c208 · outbound

This paper cites and Bridgland, A., 2021.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Bridgland, A., 2021

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.451359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 618eee76-5dff-4115-9f25-0916f2e0a65c · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Can AI Agents Design and Implement Drug Discovery Pipelines? ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.740464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682ffb14-44ef-4b22-bf58-db34927cb663 · outbound

This paper cites and Tu, Z., 2024, November.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Tu, Z., 2024, November

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.441861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c80cafa-028d-403f-b904-711a57aac7d2 · outbound

This paper cites and Batenburg, K.J., 2025.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Batenburg, K.J., 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.747323Z

Source-reported events for the cited work

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Observation 7dafc6d7-ff00-400d-a8f6-8c445cc61912 · outbound

This paper cites DynaSaur: Large Language Agents Beyond Predefined Actions.

Can AI Agents Design and Implement Drug Discovery Pipelines? DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.750364Z

Source-reported events for the cited work

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Observation 7ca5b89a-f213-4930-9b4c-3fd52b2f4d50 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Can AI Agents Design and Implement Drug Discovery Pipelines? The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.754231Z

Source-reported events for the cited work

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Observation 446b4928-c02c-44c7-a355-0f901314e730 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Can AI Agents Design and Implement Drug Discovery Pipelines? ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.758166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f140f56-5bd8-4df7-98d8-5776bfa83f1f · outbound

This paper cites Towards an AI co-scientist.

Can AI Agents Design and Implement Drug Discovery Pipelines? Towards an AI co-scientist

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.761669Z

Source-reported events for the cited work

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Observation a6b74a53-9536-4cd8-a366-cf1556a78228 · outbound

This paper cites SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?.

Can AI Agents Design and Implement Drug Discovery Pipelines? SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.765314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9624a48-2f08-4541-a4d5-a2af687342f7 · outbound

This paper cites AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML.

Can AI Agents Design and Implement Drug Discovery Pipelines? AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.768963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ade84f-8e5d-4dbf-95f4-e26d6470834a · outbound

This paper cites and Gomes, G., 2023.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Gomes, G., 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.431900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71b724cc-fbf0-4ffb-b636-912c17d10eff · outbound

This paper cites and Zou, J., 2024.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Zou, J., 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.422867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6855686b-15e6-4f13-b5d1-d0980bd91f3c · outbound

This paper cites and Kohli, P., 2024.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Kohli, P., 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.413476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4a49a8b-4e62-495a-a66d-bbe5b59f4926 · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

Can AI Agents Design and Implement Drug Discovery Pipelines? Agent Laboratory: Using LLM Agents as Research Assistants

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.782428Z

Source-reported events for the cited work

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Observation 5f5d0183-c855-401d-868c-f97da38a3668 · outbound

This paper cites and Ha, D., 2025.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Ha, D., 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.404195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0abc22e-1021-4754-ab46-fe2a044403eb · outbound

This paper cites MLGym: A New Framework and Benchmark for Advancing AI Research Agents.

Can AI Agents Design and Implement Drug Discovery Pipelines? MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.788067Z

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Observation 54ff088b-c06f-4180-a1af-f0b2e2b81a31 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Can AI Agents Design and Implement Drug Discovery Pipelines? MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.791242Z

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Observation aeaa144b-9554-47dd-beab-fff6f40c28d2 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Can AI Agents Design and Implement Drug Discovery Pipelines? SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.794857Z

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Observation 1f796156-876b-49e3-91e6-61a235c72799 · outbound

This paper cites and Leskovec, J., 2024, July.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Leskovec, J., 2024, July

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.394824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f9a1d21-dc25-471a-8e49-39fd2441209b · outbound

This paper cites RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

Can AI Agents Design and Implement Drug Discovery Pipelines? RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.801916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc7a6525-5a22-41eb-941c-1204c990d9b8 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Can AI Agents Design and Implement Drug Discovery Pipelines? TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.805502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfa4a53-5481-49f7-99f4-5a09a4d9d34b · outbound

This paper cites and Kambhampati, S., 2023.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Kambhampati, S., 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.385520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab965237-d0d4-40bd-be91-40e7654f93c5 · outbound

This paper cites and Glaese, A., BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Glaese, A., BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.376556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef1c04c4-3289-40a4-9644-8b12fc8bbd36 · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

Can AI Agents Design and Implement Drug Discovery Pipelines? ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.815973Z

Source-reported events for the cited work

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Observation efb96715-fd8e-457e-8ab1-b95fa690fc1a · outbound

This paper cites CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.

Can AI Agents Design and Implement Drug Discovery Pipelines? CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.820041Z

Source-reported events for the cited work

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Observation 30ffcefa-bc49-44fd-803f-3a819ae27f7c · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

Can AI Agents Design and Implement Drug Discovery Pipelines? PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.823469Z

Source-reported events for the cited work

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Observation 62ee4885-e8eb-49d9-b1a4-c1e14d9319af · outbound

This paper cites and Zitnik, M.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Zitnik, M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.367374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation acb7ac02-eb31-44b9-9d03-422bc8f53940 · outbound

This paper cites and Lai, H., 2023, June.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Lai, H., 2023, June

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.358129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2113bc16-bd5f-41b1-8368-c508dac41651 · outbound

This paper cites and Zeng, J., 2024.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Zeng, J., 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.348811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80636326-53e2-4dd2-82c7-c20567d8b3bc · outbound

This paper cites and Vaucher, A.C., 2019.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Vaucher, A.C., 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.339617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7de02f3a-5240-4276-8ee0-210a539f121b · outbound

This paper cites and Pande, V., 2018.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Pande, V., 2018

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.329953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 531cff92-f370-4d05-b949-283e36b11069 · outbound

This paper cites and Hernández-Lobato, J.M., 2020, November.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Hernández-Lobato, J.M., 2020, November

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.320482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c3b3861-968b-4807-8834-1acec73b2b01 · outbound

This paper cites and Boeckler, F.M., 2013.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Boeckler, F.M., 2013

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.310359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22540eed-ceff-4925-b990-279bc298966e · outbound

This paper cites and Olson, A.J., 2010.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Olson, A.J., 2010

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.301024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72f7f9b9-332e-4469-9c36-537f3218c89e · outbound

This paper cites and Shoichet, B.K., 2012.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Shoichet, B.K., 2012

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.291658Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fce78c9-5d4d-4400-89d8-4992869505bf · outbound

This paper cites and Liu, T.Y., 2017.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Liu, T.Y., 2017

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.281657Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89ab39a8-a6b2-42b4-ad33-47a111b9a2b5 · outbound

This paper cites and Eck, M.J., 2019.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Eck, M.J., 2019

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.271179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 188fff50-a5c6-4e09-b622-4c9bdced8ffa · outbound

This paper cites and Jhoti, H., 2004.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Jhoti, H., 2004

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.261354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe41ecbd-c125-4283-871d-3bc394b62b58 · outbound

This paper cites and Doi, Y., 2024.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Doi, Y., 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.250833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e39ad864-a3b7-4ab5-b775-7a12fd02f2be · outbound

This paper cites and Murata, T., 2024.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Murata, T., 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.241388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd2f39e8-d410-4038-af87-79ab06ed292e · outbound

This paper cites Berman, J.

Can AI Agents Design and Implement Drug Discovery Pipelines? Berman, J

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.877876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3f02e7-816b-4776-897a-dbb4710dd19e · outbound

This paper cites Uni-Mol2: Exploring Molecular Pretraining Model at Scale.

Can AI Agents Design and Implement Drug Discovery Pipelines? Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.880569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a29a360-c468-4a3f-a685-994cef4d06da · outbound

This paper cites DeeperGCN: All You Need to Train Deeper GCNs.

Can AI Agents Design and Implement Drug Discovery Pipelines? DeeperGCN: All You Need to Train Deeper GCNs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.883495Z

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Unavailable: canonical work link unavailable.

Observation aca2e766-1094-4688-84eb-4f572d672b5c · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Can AI Agents Design and Implement Drug Discovery Pipelines? Fast Graph Representation Learning with PyTorch Geometric

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.889303Z

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Unavailable: canonical work link unavailable.

Observation e38e1297-81bc-42a7-aa64-73dc341d7b7e · outbound

This paper cites and Petrosyan, G., 2025.

Can AI Agents Design and Implement Drug Discovery Pipelines? and Petrosyan, G., 2025

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:44:04.231409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 199e539a-8453-4f6c-8499-050f1ee4029d · outbound

This paper cites rdkit/rdkit: 2022_03_1 (Q1 2022) Release.

Can AI Agents Design and Implement Drug Discovery Pipelines? rdkit/rdkit: 2022_03_1 (Q1 2022) Release

Reference 46

Resolution: verified exact; doi, observed 2026-08-16T05:44:03.933845Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a9fdee3-cc9c-400b-bb72-19845ec1ac83 · outbound

This paper cites # Rest of the code remains the same.

Can AI Agents Design and Implement Drug Discovery Pipelines? # Rest of the code remains the same

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.900770Z

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Pith citing papers

No inbound Pith citation observations are available.