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Paper Citation Record · LEDGER

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.02766.

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

pith.paper-citation-record.v1
2505.02766 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:17.961848Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

29 of 29 outbound references displayed

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  • verified fuzzy23
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e391e489-bbb3-4d31-8e4e-bb514ba909ca · outbound

This paper cites Resilient machines through continuous self-modeling.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Resilient machines through continuous self-modeling

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8d290a1c-d7b6-4e48-83aa-59a2fdb220b6 · outbound

This paper cites Evolving cell models for systems and synthetic biology.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Evolving cell models for systems and synthetic biology

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 29b91973-1f79-4758-8718-768f2459b609 · outbound

This paper cites Morphological coordination: a common ancestral function unifying neural and non-neural signaling.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Morphological coordination: a common ancestral function unifying neural and non-neural signaling

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8f3c0905-899a-42a5-a25a-a2e636933a0c · outbound

This paper cites Exploring the behavior of bioelectric circuits using evolution heuristic search.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Exploring the behavior of bioelectric circuits using evolution heuristic search

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:45:17.831227Z digest=sha256:bd5a0fe303fe81d703a7c4e72ae037547a206df66eeb8b3ecd6fee6f1d742e10

Observation 7fe34fcd-80d3-4f65-96e1-bcdb06b4ca7f · outbound

This paper cites Emergence of informative higher scales in biological systems: a computational toolkit for optimal prediction and control.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Emergence of informative higher scales in biological systems: a computational toolkit for optimal prediction and control

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a9fafd53-2c72-4065-803b-2eae54c9d93b · outbound

This paper cites Can the macro beat the micro? integrated information across spatiotemporal scales.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Can the macro beat the micro? integrated information across spatiotemporal scales

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:45:18.397984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation be9e9264-97a5-4299-9df5-147f745dca99 · outbound

This paper cites Genetic algorithms.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Genetic algorithms

Reference 7

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af7f431a-288f-40c0-a7d0-52853f9815fb · outbound

This paper cites Prediction of biomedical signals using deep learning techniques.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Prediction of biomedical signals using deep learning techniques

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f3cc4798-7c11-4c55-9a34-4527114063aa · outbound

This paper cites Chemical communication in artificial cells: basic concepts, design and challenges.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Chemical communication in artificial cells: basic concepts, design and challenges

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:45:18.351018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 31f3c09c-d5bf-4395-9e17-42276c1d47a5 · outbound

This paper cites Le, Richard Watson, Mike Levin, and Chrys Buckley.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Le, Richard Watson, Mike Levin, and Chrys Buckley

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9daa8886-4c14-4914-ba8d-b40e969c0352 · outbound

This paper cites Reprogramming cells and tissue patterning via bioelectrical pathways: molecular mechanisms and biomedical opportunities.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Reprogramming cells and tissue patterning via bioelectrical pathways: molecular mechanisms and biomedical opportunities

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 93135e39-dc72-47b4-b1d4-fa9accc6c887 · outbound

This paper cites The computational boundary of a “self”: developmental bioelectricity drives multicellularity and scale-free cognition.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control The computational boundary of a “self”: developmental bioelectricity drives multicellularity and scale-free cognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:45:18.297805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8a277918-5b85-4b75-bd9c-bb45486deb40 · outbound

This paper cites Bioelectric signaling: Reprogrammable circuits underlying embryogenesis, regeneration, and cancer.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Bioelectric signaling: Reprogrammable circuits underlying embryogenesis, regeneration, and cancer

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 38bc266b-b625-49ba-a625-cae3453af2b2 · outbound

This paper cites Collective intelligence of morphogenesis as a teleonomic process.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Collective intelligence of morphogenesis as a teleonomic process

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2680667f-2293-4c82-9303-2caf9f9640b1 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 15

Resolution
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no resolver link, observed 2026-08-16T00:45:17.892409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bdbe5aa2-5c56-4261-895e-d604744bff80 · outbound

This paper cites Deep learning for cellular image analysis.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Deep learning for cellular image analysis

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e5237661-fa8d-4b01-872e-c01a6b394536 · outbound

This paper cites Gpt-4 technical report, 2024.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Gpt-4 technical report, 2024

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:17.901450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5262d885-1f2e-4280-adc1-00a0e25222a0 · outbound

This paper cites A derandomized approach to self-adaptation of evolution strategies.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control A derandomized approach to self-adaptation of evolution strategies

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d1d9575e-37fb-4479-8728-b52954c6e4f9 · outbound

This paper cites Top-down models in biology: explanation and control of complex living systems above the molecular level.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Top-down models in biology: explanation and control of complex living systems above the molecular level

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b6ba6ec6-752f-4fa2-9d30-ff156752d6e9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Learning transferable visual models from natural language supervision

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e13a8e38-b9ce-441c-8bc9-03c1df6987fc · outbound

This paper cites An evolutionary approach to synthetic biology: Zen and the art of creating life.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control An evolutionary approach to synthetic biology: Zen and the art of creating life

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 74c832d4-23e3-4eb6-8c48-577f8f887dde · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f1c7b827-f486-4671-af4e-a8836cba9212 · outbound

This paper cites Swarm robotic behaviors and current applications.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Swarm robotic behaviors and current applications

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 63bcbc9d-669b-4fc5-94b3-8054486db56e · outbound

This paper cites Designing neural networks through neuroevolution.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Designing neural networks through neuroevolution

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 099dc484-6ce2-44b9-ac65-d3306521264b · outbound

This paper cites Ultrasonic bioreactor as a platform for studying cellular response.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Ultrasonic bioreactor as a platform for studying cellular response

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1f7c4837-12ec-4fec-a3a1-ec1ca9a81968 · outbound

This paper cites Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d56d3181-420f-46e1-ab96-3c3a4b1e6adb · outbound

This paper cites Evolving aggregation behaviors in a swarm of robots.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Evolving aggregation behaviors in a swarm of robots

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:45:18.081269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ef12b44f-3154-4d49-a5b0-cb53f89ed124 · outbound

This paper cites moondream2 (revision 92d3d73), 2024.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control moondream2 (revision 92d3d73), 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:45:18.063192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5b578f38-4a21-4acb-a703-76e501f0511b · outbound

This paper cites Distance-based protein folding powered by deep learning.

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Distance-based protein folding powered by deep learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:45:18.045084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.