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Paper Citation Record · LEDGER

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent

As of 16 August 2026, this Paper Citation Record lists 100 of 136 outbound references and 0 inbound Pith citation observations for arXiv:2508.19800.

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

pith.paper-citation-record.v1
2508.19800 v1

Coverage vector

measured 100 of 136 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:32:37.540454Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

100 of 136 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4c9a8f9-07cf-4392-93e1-0d3f07860e7d · outbound

This paper cites Mapping the multiscale structure of biological systems,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mapping the multiscale structure of biological systems,

Reference 1

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0e00edbe-247e-416c-b89b-601329372461 · outbound

This paper cites Systems Biology: A Brief Overview,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Systems Biology: A Brief Overview,

Reference 2

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Observation 114ce37c-d624-422a-a546-989c18126c83 · outbound

This paper cites Chapter 6 - Artificial intelligence in systems biology,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Chapter 6 - Artificial intelligence in systems biology,

Reference 3

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Observation a7112517-a804-43db-bc8c-29fafe620fbe · outbound

This paper cites Artificial Intelligence in Bioinformatics: Advancements and Applications,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Artificial Intelligence in Bioinformatics: Advancements and Applications,

Reference 4

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Observation 8b8c3398-e8d9-44ff-a48c-1f602578cf03 · outbound

This paper cites safe and effective.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent safe and effective

Reference 5

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Observation 74cc3d79-1cad-4191-a79f-4236a6605650 · outbound

This paper cites black boxes,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent black boxes,

Reference 6

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Observation 64fd0440-236a-4d68-afa7-221250f15680 · outbound

This paper cites black box.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent black box

Reference 7

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Observation 8bbc28eb-9963-4347-b86b-200de4167bce · outbound

This paper cites A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,

Reference 8

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Observation 56a5c201-171b-42be-b918-7d17f8616187 · outbound

This paper cites Designing deep learning studies in cancer diagnostics,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Designing deep learning studies in cancer diagnostics,

Reference 9

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Observation 91fcdf29-c861-47d8-93d9-bf3cbc614a3e · outbound

This paper cites Biology-guided deep learning predicts prognosis and cancer immunotherapy response,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Biology-guided deep learning predicts prognosis and cancer immunotherapy response,

Reference 10

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8551b98d-1bf2-47bf-a6c3-6b7274a76888 · outbound

This paper cites Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass,

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f797d103-343a-4f85-b518-ad72e9b32922 · outbound

This paper cites Predicting the clinical impact of human mutation with deep neural networks,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Predicting the clinical impact of human mutation with deep neural networks,

Reference 12

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Source-reported events for the cited work

correction dated 2018-12-17. Source: crossref record 10.1038/s41588-018-0329-z->10.1038/s41588-018-0167-z:correction, observed 2026-07-11T02:58:09.574501+00:00. This notice travels one citation hop only.

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Observation 3323879e-5b17-4feb-9e42-29c049234b80 · outbound

This paper cites Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eb9af914-0fe1-48f2-9609-e7ec201b95b6 · outbound

This paper cites Deep learning in pharmacogenomics: from gene regulation to patient stratification,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Deep learning in pharmacogenomics: from gene regulation to patient stratification,

Reference 14

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7fc0ba0b-7f70-48f8-b10c-7f3416b5708a · outbound

This paper cites Prediction of drug efficacy from transcriptional profiles with deep learning,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Prediction of drug efficacy from transcriptional profiles with deep learning,

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 44476b31-b8ca-40d9-91db-5404a0cdccd4 · outbound

This paper cites Artificial intelligence for modelling infectious disease epidemics,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Artificial intelligence for modelling infectious disease epidemics,

Reference 16

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 057ab677-a343-49ac-9c87-6efee0f36204 · outbound

This paper cites Machine learning for data-centric epidemic forecasting,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Machine learning for data-centric epidemic forecasting,

Reference 17

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Source-reported events for the cited work

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Observation 38f403bd-d805-4ffa-a3bd-c22f45281e45 · outbound

This paper cites Harnessing machine learning to guide phylogenetic-tree search algorithms,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Harnessing machine learning to guide phylogenetic-tree search algorithms,

Reference 18

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Observation fb3ab219-5f5d-46d4-b0ab-d32a70751dc1 · outbound

This paper cites ModelRevelator: Fast phylogenetic model estimation via deep learning,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ModelRevelator: Fast phylogenetic model estimation via deep learning,

Reference 19

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Observation 327d4223-d18f-4687-939c-18f2f10bd771 · outbound

This paper cites Genome modeling and design across all domains of life with Evo 2,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Genome modeling and design across all domains of life with Evo 2,

Reference 20

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Observation a9fce004-ca5d-4060-99ff-a68b9e5bbf22 · outbound

This paper cites Perspectives on computational modeling of biological systems and the significance of the SysMod community,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Perspectives on computational modeling of biological systems and the significance of the SysMod community,

Reference 21

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f39361b8-a5d7-4d63-8040-99488c25ad58 · outbound

This paper cites AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships,

Reference 22

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correction dated 2025-03-18. Source: crossref record 10.1016/j.csbj.2025.03.020->10.1016/j.csbj.2024.12.030:correction, observed 2026-07-11T03:15:41.986588+00:00. This notice travels one citation hop only.

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Observation 823dc2c9-1456-4aee-af4b-9c2318256749 · outbound

This paper cites A multiscale approach for biomedical machine learning,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A multiscale approach for biomedical machine learning,

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc179643-5a32-4c71-99ae-8aff283d15db · outbound

This paper cites INSIHGT: an accessible multi-scale, multi-modal 3D spatial biology platform,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent INSIHGT: an accessible multi-scale, multi-modal 3D spatial biology platform,

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0382166b-4eef-4689-bb99-3f185928d09a · outbound

This paper cites Opportunities and challenges in using real-world data for health care,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Opportunities and challenges in using real-world data for health care,

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a89c0107-e86d-4bd5-9f04-7d7fb947bcf1 · outbound

This paper cites Autonomous chemical research with large language models,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Autonomous chemical research with large language models,

Reference 26

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Observation e2f44906-bffe-4cf2-926a-ee216b089f88 · outbound

This paper cites Language models for biological research: a primer,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Language models for biological research: a primer,

Reference 27

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e703043c-6a79-4ff6-85a4-61585fc0d87e · outbound

This paper cites Empowering biomedical discovery with AI agents,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Empowering biomedical discovery with AI agents,

Reference 28

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Observation 07c6bd52-052a-4eaf-8e81-eacfa47f58d6 · outbound

This paper cites Large language models streamline automated machine learning for clinical studies,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Large language models streamline automated machine learning for clinical studies,

Reference 29

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 88c05cbe-efc4-4883-97ab-1745f1197f16 · outbound

This paper cites A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies,

Reference 30

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1def52b2-f8fe-4c4b-bccb-a5a8eed32f66 · outbound

This paper cites SpatialAgent: An autonomous AI agent for spatial biology,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent SpatialAgent: An autonomous AI agent for spatial biology,

Reference 31

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Observation e191aab5-7caf-4b7c-a80f-6325786695fb · outbound

This paper cites How to build the virtual cell with artificial intelligence: Priorities and opportunities,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent How to build the virtual cell with artificial intelligence: Priorities and opportunities,

Reference 32

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Observation ccb62b1a-4e88-4ee2-8b7b-f0ebe0e346d8 · outbound

This paper cites Robin: A multi-agent system for automating scientific discovery.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Robin: A multi-agent system for automating scientific discovery

Reference 33

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Unavailable: canonical work link unavailable.

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Observation a731a1bd-f67c-48fd-a72e-533f8fec431e · outbound

This paper cites OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery,

Reference 34

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no resolver link, observed 2026-08-05T15:32:37.303222Z

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Unavailable: canonical work link unavailable.

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Observation 6224b0f6-3cd7-4c0c-8b2f-9e469a33812a · outbound

This paper cites Biomni: A General-Purpose Biomedical AI Agent,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Biomni: A General-Purpose Biomedical AI Agent,

Reference 35

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source=pdf_text observed=2026-08-05T15:32:37.306431Z digest=sha256:63e5ffe05469f67e666fe41ca7b1b71a3b8f49553a59c4895528c78eb5da2c13

Observation 93208edc-3455-42a4-9662-cc66d03ae232 · outbound

This paper cites Enhancing diagnostic capability with multi-agents conversational large language models,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Enhancing diagnostic capability with multi-agents conversational large language models,

Reference 36

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source=pdf_text observed=2026-08-05T15:32:37.309809Z digest=sha256:641d3c8646e45bde9a5b3b707c7b30bc1569788efb784718d09e76f059acd2a1

Observation 1e0e30a0-cf83-49d0-b13c-7637613846e2 · outbound

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

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent LLM Agent Swarm for Hypothesis-Driven Drug Discovery,

Reference 37

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source=pdf_text observed=2026-08-05T15:32:37.313290Z digest=sha256:05f819a4b6eeea878632fa835930e77f0b7531a068d517389e5ecc859c5ec0f6

Observation fa4ec489-ebfa-4f84-ba71-5b7685b687a9 · outbound

This paper cites Towards an AI co-scientist,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Towards an AI co-scientist,

Reference 38

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source=pdf_text observed=2026-08-05T15:32:37.316382Z digest=sha256:21374aaf8bb3ba5521365f07d7d4d73214d8d7695ca26766e31b80e18f021a92

Observation 355f49a4-a558-4a25-8e4a-8d4f474ee13b · outbound

This paper cites Big data: Historic advances and emerging trends in biomedical research,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Big data: Historic advances and emerging trends in biomedical research,

Reference 39

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verified exact
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.319817Z digest=sha256:126f6c165290ca085e39ffab18292a9f41b1d7710bd4e7f2ce1afff0ca3b6b3d

Observation 980ffed8-cb73-41ae-be0a-6af896a79bfd · outbound

This paper cites Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review,

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.323308Z digest=sha256:86ca5ef5eea7a907541c7a7dd0967dfbecbc9f772b414e41b364aa7c83287f7a

Observation 6c215ba7-87e8-4dea-9039-a3293948dc6d · outbound

This paper cites Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque,

Reference 41

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source=pdf_text observed=2026-08-05T15:32:37.326669Z digest=sha256:8206303ceb0928d745b95d5db0f8aa871d704fe507b5e6cc9d17c3e7d4d9d9e8

Observation e8a4bb97-69ba-4d51-980b-90095c04d30c · outbound

This paper cites Sequence modeling and design from molecular to genome scale with Evo,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Sequence modeling and design from molecular to genome scale with Evo,

Reference 42

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source=pdf_text observed=2026-08-05T15:32:37.330403Z digest=sha256:74ff5cf4a8a96a974b4147449f911a861eeee9cff66e3b13cca9cfadc3666e8c

Observation cdc06150-9d72-4689-ae26-acf4f8e0773b · outbound

This paper cites BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models,

Reference 43

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source=pdf_text observed=2026-08-05T15:32:37.334402Z digest=sha256:347b6c6cc2a4f984092b8d58d812092e612097234cbe2783610068304b5e3d5a

Observation a8ec6844-954e-4d81-96ef-bcddaf60aa74 · outbound

This paper cites scGPT: toward building a foundation model for single-cell multi-omics using generative AI,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent scGPT: toward building a foundation model for single-cell multi-omics using generative AI,

Reference 44

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source=pdf_text observed=2026-08-05T15:32:37.337775Z digest=sha256:fd646d83fc4fbb9c4c8143361b0f654c078efdc78cc1251b3bb42cf6bb74123b

Observation c2a7a545-0976-4379-b23d-d909af98d7de · outbound

This paper cites Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics,

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.341253Z digest=sha256:ab10c8ab961e366fe34b091d0c48a81a9d09030ad61a2c04605fc67c94679f57

Observation d09d0f56-4d70-4610-b9e3-87bf652360e1 · outbound

This paper cites SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data,

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.344835Z digest=sha256:0a9186a5043a6e1261e326986b1a8d9b6bc1cbd1d193f1a69926ae5785ac3a1a

Observation 52950a25-c5a0-40f2-bd94-69570f27977c · outbound

This paper cites QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis

Reference 47

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source=pdf_text observed=2026-08-05T15:32:37.348199Z digest=sha256:5726fa85b70cecf6033a85048b43a6a999846098a0ac2ef06cba0381a6010104

Observation 7acbae65-41aa-4434-8170-d127c3bb1fab · outbound

This paper cites A vision–language foundation model for precision oncology,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A vision–language foundation model for precision oncology,

Reference 48

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source=pdf_text observed=2026-08-05T15:32:37.352347Z digest=sha256:2d905f0c1b8c41411998c449333013e6f747e5b8530184a4588733228bd2b132

Observation bdacd4af-4631-4cd4-8c73-486bffaec11a · outbound

This paper cites Large Language Models in radiology: A technical and clinical perspective,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Large Language Models in radiology: A technical and clinical perspective,

Reference 49

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source=pdf_text observed=2026-08-05T15:32:37.355709Z digest=sha256:b8365a26a8f4c404cb0d50690b1cb572a6874b542c9feee8fd7412291593a90e

Observation f75262ea-b5d0-49f1-9959-d7189b39a289 · outbound

This paper cites LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models

Reference 50

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source=pdf_text observed=2026-08-05T15:32:37.359152Z digest=sha256:2a631ae9bd62c089dd266af846130e05d8444ba592493dda7dd040eab62e3e4b

Observation 6b05f104-ab04-4370-aff9-a5e5aa59f0fa · outbound

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

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 51

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source=pdf_text observed=2026-08-05T15:32:37.363198Z digest=sha256:60f9f1496956bfa642e70202cf43050ed7b8aed0be72fdbd95e3dd319dd39a55

Observation 7efd66d4-b985-47d8-9570-ef8c2dda28e2 · outbound

This paper cites Spatialagent: An autonomous ai agent for spatial biology,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Spatialagent: An autonomous ai agent for spatial biology,

Reference 52

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.411150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.366599Z digest=sha256:d73d355927edc034256163952d533aab8397acf74d55a1e0a262ad7a767dc5aa

Observation bcff5c31-1a3a-42b9-a184-75a8e27f536b · outbound

This paper cites TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

Reference 53

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source=pdf_text observed=2026-08-05T15:32:37.369811Z digest=sha256:4182af6d68c4b278e02cd25480d04ae94dc45509e68211dd78fefda7657b35ad

Observation df969006-830f-40ce-88bc-f5fd839b0764 · outbound

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

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 54

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source=pdf_text observed=2026-08-05T15:32:37.373327Z digest=sha256:e2e018f0c4190e842853f59fee6d03884cc942981afc09ab8ed07ac4a6f970ff

Observation 2feaeccc-1451-45ba-89d5-eaaf6e74be69 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ReAct: Synergizing Reasoning and Acting in Language Models

Reference 55

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no resolver link, observed 2026-08-05T15:32:37.377002Z

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source=pdf_text observed=2026-08-05T15:32:37.377002Z digest=sha256:dd8843f23170fad59db940931a4528715efb12be41ac305ac50e0217e375b159

Observation dcc6e6dc-78dc-4983-9ee4-f72c1fa080bd · outbound

This paper cites Bridging biodegradable metals and biodegradable polymers: A comprehensive review of biodegradable metal–organic frameworks for biomedical application,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Bridging biodegradable metals and biodegradable polymers: A comprehensive review of biodegradable metal–organic frameworks for biomedical application,

Reference 56

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no resolver link, observed 2026-08-05T15:32:37.381194Z

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source=pdf_text observed=2026-08-05T15:32:37.381194Z digest=sha256:cb701ec9d910201e9220bad302be9a2ea3302a50d00fad692c119b984dc113ac

Observation 3145c4c9-f980-47d1-b1b6-8357c68b5206 · outbound

This paper cites Mitigating lithium void formation in all-solid-state batteries via a high lithium diffusion 3D composite interlayer,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitigating lithium void formation in all-solid-state batteries via a high lithium diffusion 3D composite interlayer,

Reference 57

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verified exact
doi, observed 2026-08-05T15:32:38.379073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.384850Z digest=sha256:2788947c8a9b82a60f0ec248746e8e4dff51d43733100ca3c06fa9c62672eac4

Observation 0533ba5a-3d4a-4099-8ec7-418088649d5a · outbound

This paper cites Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis,

Reference 58

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.366997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.388404Z digest=sha256:e0984acfd1e5daaf1c27db4b2137951236bb16ea749d504a0d038d6052a3ebce

Observation 4ac5190e-c30d-4f6f-b558-bd5d6fcbd9aa · outbound

This paper cites Tx-LLM: A Large Language Model for Therapeutics.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Tx-LLM: A Large Language Model for Therapeutics

Reference 59

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source=pdf_text observed=2026-08-05T15:32:37.392346Z digest=sha256:dac6b097026364b73d8c4e902da3c9b267c12e469114515ba830082dc3a9444e

Observation e43da4d7-284f-4300-b2cd-e6f66ba3a388 · outbound

This paper cites TxGemma: Efficient and Agentic LLMs for Therapeutics.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent TxGemma: Efficient and Agentic LLMs for Therapeutics

Reference 60

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source=pdf_text observed=2026-08-05T15:32:37.396128Z digest=sha256:be16e5d971ad45dc6df5be965929496e92900e518786222d976d0a3f21493a1d

Observation 12a6fd33-0c57-4148-9435-6ea8d21a7043 · outbound

This paper cites ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning

Reference 61

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no resolver link, observed 2026-08-05T15:32:37.400331Z

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source=pdf_text observed=2026-08-05T15:32:37.400331Z digest=sha256:2565739fa4c081984a6552eafd8a4b5ca06e4e73e983905e4464a0bad34b8c69

Observation ee89f365-cd29-4422-9c52-eab8a44b4cc0 · outbound

This paper cites Automated Hypothesis Validation with Agentic Sequential Falsifications.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Automated Hypothesis Validation with Agentic Sequential Falsifications

Reference 62

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no resolver link, observed 2026-08-05T15:32:37.404063Z

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source=pdf_text observed=2026-08-05T15:32:37.404063Z digest=sha256:decf5ee11b09be79c929221ddcc277aef2880a9e75183d0ee80c98b37c6b3faa

Observation 82e6dcc8-3239-458b-af5a-d9ed892575a3 · outbound

This paper cites Autonomous LLM-driven research from data to human-verifiable research papers.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Autonomous LLM-driven research from data to human-verifiable research papers

Reference 63

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no resolver link, observed 2026-08-05T15:32:37.407602Z

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source=pdf_text observed=2026-08-05T15:32:37.407602Z digest=sha256:e29e5e70b008611dafd36dd908a82e5ce10bb07fdffe08fd3ae206e4c5f3bcd9

Observation 15b0fc4e-30b9-4536-8a55-70dee949705b · outbound

This paper cites Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data,

Reference 64

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verified exact
doi, observed 2026-08-05T15:32:38.335324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.411358Z digest=sha256:1bf0ef37757d28a4a5c17017760653426bb1eb0c84c863a3b606d04989b26c57

Observation 791c2b17-48df-40d7-80c0-5c28010e7134 · outbound

This paper cites The Interactome of Protein, DNA, and RNA,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent The Interactome of Protein, DNA, and RNA,

Reference 65

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.324336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.414867Z digest=sha256:45625701ef9e804e4fbe915a413be9991ff1ce23bca43ab4959c16d24c31675a

Observation c7d6f7d8-dae3-4610-9420-87a2041d285d · outbound

This paper cites Understanding Protein Functions in the Biological Context,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Understanding Protein Functions in the Biological Context,

Reference 66

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.313820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.418508Z digest=sha256:bfd28e7dd8ac4969b90887e5c9c7a3092a01c32fb9d27f81c25197b83abc97ca

Observation 11e9edf6-cc66-4755-9bae-a126f6b63ba7 · outbound

This paper cites Advancing bioinformatics with large language models: components, applications and perspectives,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Advancing bioinformatics with large language models: components, applications and perspectives,

Reference 67

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no resolver link, observed 2026-08-05T15:32:37.421976Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.421976Z digest=sha256:48a8514924835cab58d0573a9626d1c757f1fc8e0c5e70bd5e979e6f3a49c0f3

Observation 12651d65-e697-4bd3-ba57-5e7827c4770b · outbound

This paper cites Mitochondrial OXPHOS complex assembly lines,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial OXPHOS complex assembly lines,

Reference 68

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.303340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.425793Z digest=sha256:21b5c75260165e3009e361afce1e9ab6fc605f4dfedbced30d2e7183c54ae914

Observation 8df943c2-ab33-40d9-9a0c-522e97af9357 · outbound

This paper cites Mitochondrial dysfunction in neurodegenerative disorders,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial dysfunction in neurodegenerative disorders,

Reference 69

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.293024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.429265Z digest=sha256:2e4afeb54486504748e8ee56ab5dbfed39caa7f45e5f69cff125db1a3f3b3005

Observation 61b39c23-fa84-4003-933f-09bccff99b5a · outbound

This paper cites Mitochondrial DNA variation and cancer,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial DNA variation and cancer,

Reference 70

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.281756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.433170Z digest=sha256:11f5e05b9e853cedf95a73e37bae2aefe447b371723be1694584e9bfafe2c867

Observation e9f7a1e0-dd47-413e-ba4c-3c5bf0699ead · outbound

This paper cites Mitochondrial DNA mutation enhances sensitivity to immunotherapy in melanoma,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial DNA mutation enhances sensitivity to immunotherapy in melanoma,

Reference 71

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.436698Z digest=sha256:6cdd0a935458fb1a899fd8c68cf0654f75cc32738534aefa2ad8d7451742213b

Observation 9919e9bd-e0c1-43ab-bfb9-495a22dcfb01 · outbound

This paper cites Mitochondrial and metabolic dysfunction in ageing and age-related diseases,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial and metabolic dysfunction in ageing and age-related diseases,

Reference 72

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.262002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.440430Z digest=sha256:942a370941719b2a08ffebd691bcbb93dd7fd83e86122caf6ce33c7a8fa2f180

Observation 2baca345-3694-4711-82ff-7d49143036d4 · outbound

This paper cites Mitochondrial DNA-triggered innate immune response: mechanisms and diseases,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial DNA-triggered innate immune response: mechanisms and diseases,

Reference 73

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verified exact
doi, observed 2026-08-05T15:32:38.250638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.444878Z digest=sha256:cf8101695403401ef179e0b5ad790d3ccb6166fc4e8246b766b58f5d908d3b2a

Observation 823d931d-1e52-4af8-a997-05b23c2c07e1 · outbound

This paper cites Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction,

Reference 74

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.239200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.448871Z digest=sha256:5a2b7d169c385b7a94455b4821cf30554f35852e6615e0faa7e3756544e1db64

Observation 8429fdcb-4b06-4bbe-93b5-2459cf24b624 · outbound

This paper cites DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks,

Reference 75

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doi, observed 2026-08-05T15:32:38.228311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.452350Z digest=sha256:09feff65037ef750a4683f60f3a8101a39fef80dbd752eac3a1bca7e43f4a3ec

Observation 271d282d-e30a-4681-b44e-bc08009f3daf · outbound

This paper cites MITOMAP: a human mitochondrial genome database,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent MITOMAP: a human mitochondrial genome database,

Reference 76

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.218264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.456573Z digest=sha256:d856037f6dad9ebd85bcb1bbfb350dbc1413e4add449d9ff758479f792ad4e7b

Observation e58922eb-64b5-4bda-9ec1-9b6569be6d7d · outbound

This paper cites MitoTrace: A Computational Framework for Analyzing Mitochondrial Variation in Single-Cell RNA Sequencing Data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent MitoTrace: A Computational Framework for Analyzing Mitochondrial Variation in Single-Cell RNA Sequencing Data,

Reference 77

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doi, observed 2026-08-05T15:32:38.207524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.460181Z digest=sha256:b62110205110579e8edb792e458b9e2eff6b924bf2f71fa887cef0c3bed6a307

Observation cbcc45bf-b718-4b9d-a6d1-1060413f0951 · outbound

This paper cites CellMarker: a manually curated resource of cell markers in human and mouse,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent CellMarker: a manually curated resource of cell markers in human and mouse,

Reference 78

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.197241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.463890Z digest=sha256:3a214e7511c9d2606f8402d0f931c2c903c713303114ed063480504843943ddd

Observation d1f96e83-1a42-44f2-b45a-e9be9dbd340b · outbound

This paper cites PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.466990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.466990Z digest=sha256:cd270a372d469ba1336e0fcb99dffde6e6494325c90a63508c717ab9822874a5

Observation ce5c4103-7a3e-48f3-be3b-b62199ec5519 · outbound

This paper cites Reversed graph embedding resolves complex single-cell trajectories,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Reversed graph embedding resolves complex single-cell trajectories,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.470454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.470454Z digest=sha256:a90e9560f6b551db06db3bf2d8826312be9afea83962a268b0a95d5eec046888

Observation 0f378313-2c54-4f7e-9add-8f4751b568cb · outbound

This paper cites Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM,

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.474485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.474485Z digest=sha256:ab4fe0dd31f772cf0cd72376378dce8500f975545725b6c633da6df247c04cc0

Observation 6ab86dda-c5bd-4266-95f0-ae62ffcdc84f · outbound

This paper cites scIGANs: single-cell RNA-seq imputation using generative adversarial networks,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent scIGANs: single-cell RNA-seq imputation using generative adversarial networks,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.478333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.478333Z digest=sha256:14c2e455bb797d561a797fb82f28d138d014ee21b1027bac1d41a6963ed477b5

Observation e8205563-42b9-4f78-86be-50067fcc01e0 · outbound

This paper cites CCPE: cell cycle pseudotime estimation for single cell RNA-seq data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent CCPE: cell cycle pseudotime estimation for single cell RNA-seq data,

Reference 83

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.159675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.481916Z digest=sha256:5d386fe6f471921685c469dca11f96f873bcc1e7f09248797150c76b09ecf7fe

Observation 41ea0d27-44a7-4e20-b01e-fd42f8885ea9 · outbound

This paper cites A Cell Cycle-Aware Network for Data Integration and Label Transferring of Single-Cell RNA-Seq and ATAC-Seq,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A Cell Cycle-Aware Network for Data Integration and Label Transferring of Single-Cell RNA-Seq and ATAC-Seq,

Reference 84

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.149224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.485032Z digest=sha256:371b1a0ff96f2b026b16efedc22e68c0a30047f0cc2bd5c28ccccdeba151a2a5

Observation 5411eb75-5056-4a90-be18-d1f8ecaf7a53 · outbound

This paper cites LVPT: Lazy Velocity Pseudotime Inference Method,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent LVPT: Lazy Velocity Pseudotime Inference Method,

Reference 85

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verified exact
doi, observed 2026-08-05T15:32:38.138213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.488444Z digest=sha256:b4b278e0ee2d55df632770d29db3631fcf003529e67e714d61988e96132dc2a9

Observation f78e9479-2940-4b20-a928-edb66f90ec78 · outbound

This paper cites DrugFormer: Graph-Enhanced Language Model to Predict Drug Sensitivity,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent DrugFormer: Graph-Enhanced Language Model to Predict Drug Sensitivity,

Reference 86

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.127427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.492055Z digest=sha256:c056a1c045a16a48b831ee7eded3fe20a265c97114d9a725314b2450ea4cb4d6

Observation 95788e82-a8dc-4ce9-b98d-d019591c3780 · outbound

This paper cites Digital profiling of gene expression from histology images with linearized attention,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Digital profiling of gene expression from histology images with linearized attention,

Reference 87

Resolution
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doi, observed 2026-08-05T15:32:38.116824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.495327Z digest=sha256:0492d2d9ca140b34dc34881892549b09ff3fea9abf4f7d430ff4712afe0eee1c

Observation 66e5620c-f240-4706-a1ef-e36e7eec4f78 · outbound

This paper cites Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types,

Reference 88

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.106522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.498911Z digest=sha256:8ed649889068643a0201dabd87a9c496569f8f26b36717e4e951dd34ff1dfe1a

Observation 084e4585-43cb-47e8-94f2-bf3e99edba49 · outbound

This paper cites Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks,

Reference 89

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.095795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.502207Z digest=sha256:6239e63429fd5e3bb22b5d270fc585090242f5b625c7b1aac69d5ecc4acf9de2

Observation 3c6fdaeb-e914-465d-81e1-8d4fbbca998e · outbound

This paper cites Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images,

Reference 90

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.083211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.505930Z digest=sha256:935a4244af97166962469efbf2939c267dd3453c1d16ecf401cbbf27c8614ebb

Observation 62f4411a-2084-48ed-9e94-5debdd5867e6 · outbound

This paper cites Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning,

Reference 91

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.072568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.509347Z digest=sha256:f63e41277335810515577fe9cdd535f4acc2d8a7085f6e8b9000ba46b31d5b3d

Observation 31e37eb0-484c-479b-8995-94739082cff6 · outbound

This paper cites BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data,

Reference 92

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.061842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.512535Z digest=sha256:7ca4486561547b0beb227c0b2be1f250b82dce4aa9f92de947624c4600d8b234

Observation b08ab023-b5dc-44e1-9ac9-758374a040fd · outbound

This paper cites Learning tissue representation by identification of persistent local patterns in spatial omics data,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Learning tissue representation by identification of persistent local patterns in spatial omics data,

Reference 93

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.050703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.515725Z digest=sha256:6ebd6b8422ed5e3abb03d993f4d460b4efa856772d203892833fe3178362c7ea

Observation 3b2afc2d-ffd8-4141-a093-e6e71ff4423a · outbound

This paper cites Organoids: The current status and biomedical applications,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Organoids: The current status and biomedical applications,

Reference 94

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.039398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.519069Z digest=sha256:36d95fa5de133d9ff702a4289dd5d06afb2c8584e784f76838fdb0122acbfb00

Observation a7d7273d-1530-4fb3-a4d6-b17377884975 · outbound

This paper cites Finite element modelling of contracting skeletal muscle,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Finite element modelling of contracting skeletal muscle,

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.522370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.522370Z digest=sha256:94b14f687d429edfd7fef29c203b2635190f59821076326b7b4aaf36fc310c69

Observation 4eb65404-0658-437a-acc2-b2c424e7310a · outbound

This paper cites Virtual Human Models for Electromagnetic Studies and Their Applications,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Virtual Human Models for Electromagnetic Studies and Their Applications,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.525597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.525597Z digest=sha256:30b9204cd8a9f4240cbb3375d6972598057a40da641f38d2c9efab2948ef0b1c

Observation a6086337-4147-48b2-9e37-e7affc089a36 · outbound

This paper cites Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.529385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.529385Z digest=sha256:c54491e17367347063d821b71591e3acb9041bc94b59b7abb1410c459aadefca

Observation 9e8fede1-d56f-40dc-8b01-346109fc4377 · outbound

This paper cites Genetic heart–brain connections,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Genetic heart–brain connections,

Reference 98

Resolution
verified exact
doi, observed 2026-08-05T15:32:38.021186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T15:32:37.533155Z digest=sha256:9674600f01ef1d743399a88c2c57a571a45507e618b5193846718265862e36bb

Observation 6d405581-a67b-437d-8581-cf172281c42c · outbound

This paper cites The Gut-Brain Axis and Its Relation to Parkinson's Disease: A Review,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent The Gut-Brain Axis and Its Relation to Parkinson's Disease: A Review,

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.537021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.537021Z digest=sha256:9ce69d9597a00912b8d35a167ab7fb623ad0cf19d0e1f1e845639ac293d49707

Observation d912a2eb-e5af-472a-acbc-452636653672 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-05T15:32:37.540454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:32:37.540454Z digest=sha256:5ceaf3048199c67098257359feded4da2ca965e6c37b114847aa80725b9e246b

Pith citing papers

No inbound Pith citation observations are available.