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Paper Citation Record · LEDGER

ZapGPT: Free-form Language Prompting for Simulated Cellular Control

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.10660.

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

pith.paper-citation-record.v1
2509.10660 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:46:05.241766Z

measured 38 of 38 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation b5cebf5b-0949-4f52-abc9-8a0310ca665a · outbound

This paper cites Self- organization in biological systems.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Self- organization in biological systems

Reference 1

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source=pdf_text observed=2026-08-04T17:46:04.816963Z digest=sha256:534940b465ef075f8b15219f99638d7f86c244309cea7ca4e15aa1654286991c

Observation 87c435dd-c677-47fd-88fc-f9dd14e7614a · outbound

This paper cites Open problems in artificial life.Artificial life, 6(4):363–376, 2000.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Open problems in artificial life.Artificial life, 6(4):363–376, 2000

Reference 2

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source=pdf_text observed=2026-08-04T17:46:04.830997Z digest=sha256:39eca50e43ad2f5ffcd4a23c902a669a998330c8bb5d22e91777967531c760b5

Observation 3a648d0f-5c33-461b-9970-c647cded792d · outbound

This paper cites Bioelectric signaling: Reprogrammable circuits underlying embryogenesis, regeneration, and cancer.Cell, 184(8):1971–1989, 2021.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Bioelectric signaling: Reprogrammable circuits underlying embryogenesis, regeneration, and cancer.Cell, 184(8):1971–1989, 2021

Reference 3

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source=pdf_text observed=2026-08-04T17:46:04.845844Z digest=sha256:941d31969996052e5a035cced7503167721663fbdce826372209a84154f2ad30

Observation 379b3995-17df-4458-865c-3ef216fe2856 · outbound

This paper cites Programmable self-assembly in a thousand-robot swarm.Science, 345(6198):795–799, 2014.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Programmable self-assembly in a thousand-robot swarm.Science, 345(6198):795–799, 2014

Reference 4

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source=pdf_text observed=2026-08-04T17:46:04.855461Z digest=sha256:cf96e2ec99acbe29f792418d14cb1c3907aa3980dec5c8cc4b47a7ee73a8a4d4

Observation aa86383b-4721-47db-9f43-d91035483331 · outbound

This paper cites Synthetic collective intelligence.Biosystems, 148:47–61, 2016.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Synthetic collective intelligence.Biosystems, 148:47–61, 2016

Reference 5

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source=pdf_text observed=2026-08-04T17:46:04.874520Z digest=sha256:f6c90b375b262342bbcd74b33b0c3e4e03c7820a7ea9fa0925be60f92eb18372

Observation 571d150f-f65b-458c-b2c6-ddb703fdc8b2 · outbound

This paper cites Word2vec to behavior: morphology facilitates the grounding of language in machines.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Word2vec to behavior: morphology facilitates the grounding of language in machines

Reference 6

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source=pdf_text observed=2026-08-04T17:46:04.889938Z digest=sha256:2faa9c58516edb6119c862ac7b4726dfce565dec121c19ef95129cf615c74e70

Observation 17ef9ff5-9b67-47dd-8af6-f4ae4eadb531 · outbound

This paper cites Large language models for robotics: A survey.arXiv preprint arXiv:2311.07226, 2023.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Large language models for robotics: A survey.arXiv preprint arXiv:2311.07226, 2023

Reference 7

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source=pdf_text observed=2026-08-04T17:46:04.899931Z digest=sha256:42321a50b5ed18ffda0ab29f1b4979ecd8f14fd296031016f64af6fd881c9f9d

Observation 40b5d212-3c63-47fb-b2c7-642f1ec87517 · outbound

This paper cites Top-down models in biology: explanation and control of complex living systems above the molecular level.Journal of The Royal Society Interface, 13(124):20160555, 2016.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Top-down models in biology: explanation and control of complex living systems above the molecular level.Journal of The Royal Society Interface, 13(124):20160555, 2016

Reference 8

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source=pdf_text observed=2026-08-04T17:46:04.916530Z digest=sha256:5d1ed9c10f73c6f872237446c7ff2bcd17c844bb2846ccfa463d1d9f4bfdd378

Observation 342ebfe1-a28e-4c41-bb6e-97bca193cdd7 · outbound

This paper cites A text-guided protein design framework.Nature Machine Intelligence, 7(4):580–591, March 2025.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control A text-guided protein design framework.Nature Machine Intelligence, 7(4):580–591, March 2025

Reference 9

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source=pdf_text observed=2026-08-04T17:46:04.927409Z digest=sha256:a84770a55a87d631490673d90904c22130cf54ce84d38781a77826189ed77dfa

Observation fd559a49-6a9a-4813-bde0-ba60da976265 · outbound

This paper cites Molformer: Motif-based transformer on 3d heterogeneous molecular graphs.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Molformer: Motif-based transformer on 3d heterogeneous molecular graphs

Reference 10

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source=pdf_text observed=2026-08-04T17:46:04.934952Z digest=sha256:02e3b3583e3c1dcd409e8dd43c118073111407a90fdc34f89dbe56e0543922b9

Observation 4daf4a33-2d42-43d4-9394-6968da4f3f11 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control DreamFusion: Text-to-3D using 2D Diffusion

Reference 11

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source=pdf_text observed=2026-08-04T17:46:04.941207Z digest=sha256:09bb8f04ff29d2d4f294d0038ea90a90e064cd64e8a62f3268cffa206fe3d51a

Observation 7b76653d-6448-440b-a64e-f75a4c84d76a · outbound

This paper cites Automating the Search for Artificial Life with Foundation Models.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Automating the Search for Artificial Life with Foundation Models

Reference 12

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source=pdf_text observed=2026-08-04T17:46:04.948660Z digest=sha256:e26713766508db0cb90b9057ba4ece395ed579c1d2513f54747f8c5cd1c2613e

Observation e279ba32-7ba8-47cb-9571-95777539068c · outbound

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

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Learning transferable visual models from natural language supervision

Reference 13

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source=pdf_text observed=2026-08-04T17:46:04.957129Z digest=sha256:5369f6047da1d5812b0948bdc8f41f0f5c00615af3cebf8c17ebfcbd168b5a81

Observation 2f12fbac-cf3d-4c47-a02d-16cde6ee50d5 · outbound

This paper cites Oxford university press, 2009.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Oxford university press, 2009

Reference 14

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source=pdf_text observed=2026-08-04T17:46:04.967218Z digest=sha256:63def724ca5b212b94fd37381768254afea0aa2d94f0dde5906ea85c3927c8e7

Observation 6cfed122-d7e2-4c56-b417-9db56422d00b · outbound

This paper cites Artificial life: An overview.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Artificial life: An overview

Reference 15

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source=pdf_text observed=2026-08-04T17:46:04.977438Z digest=sha256:e7be3fe588bf896a1b68c6dc90495ed3a4c763d1b68249ae793f308f5252900f

Observation c0777cc7-4489-4bdf-8eea-875cc59e7491 · outbound

This paper cites WW Norton & Company, 2011.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control WW Norton & Company, 2011

Reference 16

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source=pdf_text observed=2026-08-04T17:46:04.983086Z digest=sha256:4ecf6848a3407643ed0cee8c84b352ac4db774e6edf0bfa96e103f1d6eaf83d8

Observation 1343ead1-63fd-487b-960b-a08a292ad8f2 · outbound

This paper cites Being emergence vs.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Being emergence vs

Reference 17

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source=pdf_text observed=2026-08-04T17:46:04.992269Z digest=sha256:dab5e2c9b2e129716863abcd93370725d285eda5f21a521df50c89be5b39c97a

Observation e0d5c442-030a-4ca9-8a0b-c6f931e96858 · outbound

This paper cites Morphogenetic fields in embryogenesis, regeneration, and cancer: Non-local control of complex patterning.Biosystems, 109(3):243–261, September 2012.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Morphogenetic fields in embryogenesis, regeneration, and cancer: Non-local control of complex patterning.Biosystems, 109(3):243–261, September 2012

Reference 18

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Observation 0d20288b-8559-47e9-822a-d9a6c50775eb · outbound

This paper cites Adams and Michael Levin.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Adams and Michael Levin

Reference 19

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Observation f70ae3bd-b4d2-4473-8f7d-95039cc6015d · outbound

This paper cites Elowitz and Stanislas Leibler.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Elowitz and Stanislas Leibler

Reference 20

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source=pdf_text observed=2026-08-04T17:46:05.022818Z digest=sha256:e8b4cd3b0c21aa7b93f2433c2a151f57c6498498a03175494d4d748cc48c2462

Observation 9e9eb6ad-38c0-4b33-923d-cdf4d1cb3aa0 · outbound

This paper cites Ewen Cameron, Caleb J.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Ewen Cameron, Caleb J

Reference 21

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source=pdf_text observed=2026-08-04T17:46:05.031376Z digest=sha256:5d5ae492a431ffa920fc9407c5849825599f667f2d556cb8479740783a44cb5a

Observation 1f6aee2d-90d7-434d-b455-edcc625b5db6 · outbound

This paper cites Improving language understanding by generative pre-training.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Improving language understanding by generative pre-training

Reference 22

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source=pdf_text observed=2026-08-04T17:46:05.037202Z digest=sha256:70087a36e93538bd41378f057dcc4e3c6631e0feecb29013e88f69ec1c5d8938

Observation 6969bb60-4f74-4a81-9c5e-e3fe1cef4ff5 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 23

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source=pdf_text observed=2026-08-04T17:46:05.047869Z digest=sha256:ff666bb0dbf967eaa466dfeebf732a065fbbdda01bedbd4253a069255cd89671

Observation 7db59076-6e9b-41d0-8479-5298be540dcb · outbound

This paper cites Language to Rewards for Robotic Skill Synthesis.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Language to Rewards for Robotic Skill Synthesis

Reference 24

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source=pdf_text observed=2026-08-04T17:46:05.064762Z digest=sha256:f3a903e3fe954c2bf826fa0e5477472c46abb35c55d0830ed63cffa82a40caa3

Observation 3fb28fe1-47e8-498e-bbf2-20c1de632740 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 25

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source=pdf_text observed=2026-08-04T17:46:05.076151Z digest=sha256:577818101fb65bc96735443af7f2a5333e238fdc3c20b915023d4c71bb02661c

Observation 054ab567-faad-4dc7-b5a4-3ae6517c17cc · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control LaMDA: Language Models for Dialog Applications

Reference 26

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source=pdf_text observed=2026-08-04T17:46:05.083471Z digest=sha256:ce3b33b4e3535d068e7189da2d2bd8f3be09b9c5282f4f30c5eaec5c09586a48

Observation 570a338e-bb5a-41ad-9cde-3b8b16de2ab6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Evaluating Large Language Models Trained on Code

Reference 27

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source=pdf_text observed=2026-08-04T17:46:05.090755Z digest=sha256:3fa46957f460f4cc91ae2286ed5215ee023bb14b154e5dc09cb6dea475b38822

Observation 66141a88-a25f-4e4a-8136-185e78cabc18 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023

Reference 28

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source=pdf_text observed=2026-08-04T17:46:05.099906Z digest=sha256:2ac3fad10166fa05fa08dfd984c549571de2698766cfc9d5cdafeec8e825473f

Observation 742869bb-66ae-4d29-8d31-16a32468a775 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 29

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source=pdf_text observed=2026-08-04T17:46:05.120616Z digest=sha256:ee6a050b166ddc272ac3cc9247e2d259e1c8b41ca0d7427e51beff58b8bdfc45

Observation 002531a6-658a-4faf-a322-728405ed01de · outbound

This paper cites From text to life: On the reciprocal relationship between artificial life and large language models.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control From text to life: On the reciprocal relationship between artificial life and large language models

Reference 30

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source=pdf_text observed=2026-08-04T17:46:05.154081Z digest=sha256:88869237e6e23dd328c82ca6046440837b0ec5f684017be5630548730db8a964

Observation b37f83e9-2ee0-4d1a-b461-1dd6f00740d2 · outbound

This paper cites LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata

Reference 31

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source=pdf_text observed=2026-08-04T17:46:05.165084Z digest=sha256:fc8cbd548a5d30b30702aa5f1486baa6408da022849dd3a0444024d1be94bd1b

Observation 0a3fb30f-1639-4b81-b624-53c507d24faa · outbound

This paper cites Le, Patrick Erikson, Yanbo Zhang, Michael Levin, and Josh Bongard.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Le, Patrick Erikson, Yanbo Zhang, Michael Levin, and Josh Bongard

Reference 32

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source=pdf_text observed=2026-08-04T17:46:05.171222Z digest=sha256:acd47a55a190e96f685293b3213f48a0ab939e031a1b559e6e66279f8d63590b

Observation ff4d689c-9fa2-434f-9a6d-64ec5c478047 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 33

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source=pdf_text observed=2026-08-04T17:46:05.181558Z digest=sha256:24495328c71f90cd28d110f5656d95bf74c1e11736f52eb6fe9627482348051e

Observation b664a49f-dfee-44b8-8688-1a3589119c51 · outbound

This paper cites Mistral-small-3.1-24b-instruct-2503.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Mistral-small-3.1-24b-instruct-2503

Reference 34

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source=pdf_text observed=2026-08-04T17:46:05.199774Z digest=sha256:bca7e69e3b82ffbd509370a6b6b48ef53ee29340f87706c001d456b11c35fc76

Observation 44875e4b-bfbb-4be9-b011-880750e524e1 · outbound

This paper cites Evolution strategies–a comprehensive introduction.Natural computing, 1:3–52, 2002.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Evolution strategies–a comprehensive introduction.Natural computing, 1:3–52, 2002

Reference 35

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source=pdf_text observed=2026-08-04T17:46:05.213264Z digest=sha256:fa9da9b6ff77a46a1b156e9760d512490345d39c0fa6cdfa22040350c614598b

Observation aca00ac5-272a-4c1b-8f74-12b3c6548795 · outbound

This paper cites DiffTaichi: Differentiable Programming for Physical Simulation.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control DiffTaichi: Differentiable Programming for Physical Simulation

Reference 36

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source=pdf_text observed=2026-08-04T17:46:05.219220Z digest=sha256:ff558b5a7048615d2f8c43f1ee210ba6ffeb9562c98b02ea478d4febf23d80da

Observation b260dd0c-f97a-4a87-85f1-6826b98d3732 · outbound

This paper cites The symbol grounding problem.Physica D: Nonlinear Phenomena, 42(1-3):335–346, 1990.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control The symbol grounding problem.Physica D: Nonlinear Phenomena, 42(1-3):335–346, 1990

Reference 37

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Source-reported events for the cited work

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This paper cites Biological autonomy.A philo, 2015.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Biological autonomy.A philo, 2015

Reference 38

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