Paper Citation Record · LEDGER

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.17631.

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

pith.paper-citation-record.v1
2405.17631 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:51:31.086073Z

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

16
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 a4a99c9f-cb07-497d-9135-748da9a7f875 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 273

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.265744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5e3ed40-6122-4fe6-a32a-9bdfc24f77f5 · inbound

ToolRL: Reward is All Tool Learning Needs cites this paper.

ToolRL: Reward is All Tool Learning Needs BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T00:26:48.507995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1550bc0b-a0cb-45fd-9be0-c82dc72d8368 · inbound

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra cites this paper.

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:20:45.268221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 100f041a-506f-4cc1-81df-be72022c951f · inbound

Artificial Intelligence for Food Innovation cites this paper.

Artificial Intelligence for Food Innovation BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:36:24.749355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f3786f5-3c1d-4f28-ab9f-351559487114 · inbound

Agentic Exploration of Physics Models cites this paper.

Agentic Exploration of Physics Models BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T13:51:31.086073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eca329c-859c-4513-99de-483dbca6f94f · inbound

DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking cites this paper.

DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.645604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa86f253-04e8-41dc-a5bc-f419bc33eacb · inbound

Closed-Loop Molecular Design with Calibrated Deference cites this paper.

Closed-Loop Molecular Design with Calibrated Deference BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T09:23:16.460755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10356228-9a92-41f3-8b9a-53e6471e7e75 · inbound

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 97

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:48:56.384946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa4d3e4c-4d8b-41fe-8146-676519244949 · inbound

Artificial Intelligence and the Generative Science of Food Formulation cites this paper.

Artificial Intelligence and the Generative Science of Food Formulation BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T02:22:20.803008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.