Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:44:28.756555Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.13608.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:44:28.756555Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
63 of 63 outbound references displayed
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Observation 66f5da3b-6c04-4528-be10-91d11574084e · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
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Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
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Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 3
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Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 4
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Observation a9d66058-7837-4071-b5c6-312e50457d35 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
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Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
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Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
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Observation eb291d52-30d3-44b1-a765-43bd5fbb8000 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System A., Mahmud, A.et al.Exploring the role of large language models in the scientific method: From hypothesis to discovery.npj Artificial Intelligence1, 14 (2025)
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Observation cae61861-c8e0-4fd9-a388-a569909c31d4 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 12
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Observation e616305f-e134-443a-bb38-265eb1f3f50c · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Crockett, M
Reference 13
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Observation 151bce26-1f7b-4c6b-8a39-0f217d87248a · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Ai research assistants are changing science.Nature651, 853 (2026)
Reference 14
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Observation 3bf2724b-350e-4f0a-8d87-a7f3cfe3b9ee · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 15
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Observation 4008665f-b70b-4f62-a457-3982a966bd66 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Agent Laboratory: Using LLM Agents as Research Assistants
Reference 16
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Observation 146bac97-f979-4dfc-9a34-7c4a05700704 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 17
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Observation 61842e32-3735-4e16-be36-51ccaf489ddc · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
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Observation 716532a5-f59d-41c1-9832-9701208cb9b1 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Reference 19
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Observation f0fde375-77cf-4c28-816a-83215513f1e5 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Z., Georgievska, A
Reference 20
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Observation 7552a48c-5bc1-4379-9d4b-2f92f4665b86 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System R., Lober, L., Previdelli, I
Reference 21
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Observation 5108484b-d59b-4269-bb6d-1d47841309d2 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
Reference 22
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Observation 24eefd91-bd6a-44e7-ad5d-8ff68fa43ba1 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Nature Machine Intelligence1–14 (2026)
Reference 23
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Observation 2ff2fded-f8cd-4874-ad66-81ea774af5e2 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Reviriego, P
Reference 24
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Observation 8b082a5a-d2d3-49fa-bc84-9360754e5bf1 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Treutlein, B
Reference 25
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Observation fde7d013-5a36-458e-be4e-4b9c2f982ccc · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System M., Shivnaraine, R
Reference 26
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Observation c4ad41aa-2212-413f-98fc-176bd2bea350 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 27
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Observation 346ac436-2561-4fea-bd1c-f0422b6ac725 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 28
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Observation a4038e19-0394-40f5-87fd-c6402f550437 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Marchetti, L
Reference 29
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Observation d9fc665e-e0fa-4d9e-bda3-f2abe9faa079 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Radulescu, O
Reference 30
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Observation ea3f1a21-3ac7-4afe-90f9-194ab2a1833c · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 31
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Observation 9ef3c568-5f6d-4e52-bea5-a71b4c0d02d1 · outbound
Reference 32
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Reference 33
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Observation b213861c-6a8d-47dd-bd8e-e7dd1d95c643 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 34
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Reference 35
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Reference 36
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Observation e205c1f7-28ae-4aca-8bab-44f643d8bb0b · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 37
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Observation 4af674c8-7b3a-41f6-a958-debffb8ac376 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 38
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Observation cf9f5ac3-cbd7-40df-b0fe-58cf2b81536a · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Frontiers in Ecology and Evolution8, 530135 (2020)
Reference 39
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Observation c31fef47-7161-43b1-bb75-0a4cff2db451 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Lazebnik, T
Reference 40
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Observation 8428facd-d666-4491-92cc-47a872f358ed · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System L., Proctor, J
Reference 41
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Observation cdcaf5fc-5ca2-47a9-8811-11af8088b520 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Dˇ zeroski, S
Reference 42
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Observation 28a7e799-33b2-429d-97e4-a046df170198 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 43
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Observation 14f9ba24-efe3-4301-99a8-0707566d9489 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Lazebnik, T
Reference 44
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Observation a18b4ef3-33e2-424a-ae36-14bcbd6dc4d0 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Lazebnik, T
Reference 45
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Reference 46
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Reference 47
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Observation 40a1d1ec-6192-42a2-ae35-38beda2a6e4d · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Babuˇ ska, R
Reference 48
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Observation f7312b27-da4e-4544-a59d-b8295bbb6e87 · outbound
Reference 49
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Observation 94d8e53b-0133-4768-9503-57c421083dc4 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System O., Burlacu, B., Haider, C
Reference 50
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Observation f0e51863-0b7f-4737-b977-83b6e1a74a56 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System D., Nacion, F
Reference 51
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Observation 24e928cf-a427-4506-ba8c-03ccecbd1cb0 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System InGenetic programming theory and practice XVII, 79–99 (Springer, 2020)
Reference 52
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Observation 692cd75e-1b20-484a-9752-33bdf08874f6 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System A.et al.Delay differential equations and applications to biology (2021)
Reference 53
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Observation 8d8ec749-a12e-4afc-8e93-f1b84d56da56 · outbound
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Observation 3f34872a-ddcf-4f1f-abc9-d73a7ca53cf9 · outbound
Reference 55
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Observation f21ab72a-1d4d-4fbd-a107-fa86522dbafe · outbound
Reference 56
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Observation 20918d77-96ec-4870-bf72-5281f6c942b4 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System & Carvalho, R
Reference 57
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Observation cf4a0814-b026-4b6e-8463-35883dd84c15 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 58
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Observation cce12a77-ac85-42dc-86bf-d55395e2825b · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System L., Proctor, J
Reference 59
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Observation cade3970-7e02-469b-bd05-d4b7adfabcaa · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System N.et al.Universally sloppy parameter sensitivities in systems biology models.PLOS Computational Biology3, e189 (2007)
Reference 60
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Observation a1d5d1ce-9d06-49d0-9c9f-f6777b36362b · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 61
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Observation d7d59d28-6caa-4eb0-b135-24513c926254 · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Unresolved cited work
Reference 62
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Observation f1b00df9-22ad-41a2-ac1d-7f496b17b8fe · outbound
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System Universal Differential Equations for Scientific Machine Learning
Reference 63
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