Paper Citation Record · LEDGER

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2505.21534.

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

pith.paper-citation-record.v1
2505.21534 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:31.905400Z

measured 23 of 23 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:12.589474Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:11:29.584467Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy9
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e016c5f-50a3-41fd-b21f-7f5892933650 · outbound

This paper cites Accelerating drug discovery with artificial: a whole-lab orchestration and scheduling system for self-driving labs, 2025.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Accelerating drug discovery with artificial: a whole-lab orchestration and scheduling system for self-driving labs, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.606115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf2a08b-6251-4ac6-902f-6b2c0ef10fd4 · outbound

This paper cites ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.696665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54efe15a-4422-4773-b352-f3eb9081fb93 · outbound

This paper cites ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.796798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef8a3f6c-c0f7-44da-aae2-821d0e76966e · outbound

This paper cites Contessoto, Yao Fehlis, Nicolas Mayala, and José N.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Contessoto, Yao Fehlis, Nicolas Mayala, and José N

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.143149Z

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 54e25d4a-4a79-4cc8-a5e3-6efec8c07f7a · outbound

This paper cites Reactgpt: Understanding of chemical reactions via in-context tuning.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Reactgpt: Understanding of chemical reactions via in-context tuning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.130195Z

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 651a9b51-7a64-4949-9279-59d4422a7234 · outbound

This paper cites A call for caution in the era of ai-accelerated materials science.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents A call for caution in the era of ai-accelerated materials science

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.117360Z

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 9b41070b-7fc6-4413-a6d4-9835545bdc9e · outbound

This paper cites MatterChat: A Multi-Modal LLM for Material Science.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents MatterChat: A Multi-Modal LLM for Material Science

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.360826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88d3089-37d3-464c-8204-369789467fe9 · outbound

This paper cites Evaluating the performance and robustness of llms in materials science q&a and property predictions, 2025.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Evaluating the performance and robustness of llms in materials science q&a and property predictions, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.105235Z

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 a5be56ad-d414-4228-884f-caf35f53bd81 · outbound

This paper cites Chemformer: a pre-trained transformer for computational chemistry.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Chemformer: a pre-trained transformer for computational chemistry

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.091901Z

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 d8f914a3-b408-4f62-aacb-764fc9179521 · outbound

This paper cites Biogpt: generative pre-trained transformer for biomedical text generation and mining.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Biogpt: generative pre-trained transformer for biomedical text generation and mining

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.602844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a78607-a19b-4ebd-92a6-560568381ff3 · outbound

This paper cites LLM Agent Swarm for Hypothesis-Driven Drug Discovery.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents LLM Agent Swarm for Hypothesis-Driven Drug Discovery

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.785572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08e4e61-8a36-4cc8-8aa7-ca014e42a46d · outbound

This paper cites Generating novel leads for drug discovery using llms with logical feedback.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Generating novel leads for drug discovery using llms with logical feedback

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.074349Z

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 b5fc6a08-245e-414d-a405-93cf8532467f · outbound

This paper cites Self-driving laboratories for chemistry and materials science.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Self-driving laboratories for chemistry and materials science

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.875726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a20ef0da-d3fb-4b16-ad16-fbe8dea3c4c1 · outbound

This paper cites The future of self-driving laboratories: from human in the loop interactive ai to gamification.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents The future of self-driving laboratories: from human in the loop interactive ai to gamification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.055460Z

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 d3c7e039-8489-4d1d-9853-6db6f8c24d9e · outbound

This paper cites The rise of self-driving labs in chemical and materials sciences.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents The rise of self-driving labs in chemical and materials sciences

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.883012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073ce43a-0f47-4f6a-b772-4d26260f9e3d · outbound

This paper cites an unresolved cited work.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:34:32.036395Z

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 8b166236-0f28-431a-b39d-037fa6c46112 · outbound

This paper cites Drugagent: Multi-agent large language model-based reasoning for drug-target interaction prediction.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Drugagent: Multi-agent large language model-based reasoning for drug-target interaction prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.024623Z

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 813ff731-bd1d-4b55-80ea-2b13af25b541 · outbound

This paper cites Protchat: An ai multi-agent for automated protein analysis leveraging gpt-4 and protein language model.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Protchat: An ai multi-agent for automated protein analysis leveraging gpt-4 and protein language model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.012195Z

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 05c67028-412e-4db1-bab6-5512a7569b95 · outbound

This paper cites an unresolved cited work.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:34:31.997464Z

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 4c282814-e190-48ec-8b74-8c8040758382 · outbound

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

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents Agent Laboratory: Using LLM Agents as Research Assistants

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.901273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30f1b3c-3ce8-4ec8-a0f1-1b457125ee58 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.905400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7378fd7f-bc23-497a-adf1-9d7645f9980b · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents

Reference 200

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:12.589474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686fefd1-f1a1-4150-aeb9-da6a956a7488 · inbound

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation cites this paper.

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:11:29.704199Z

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.