Paper Citation Record · LEDGER

STL-based Optimization of Biomolecular Neural Networks for Regression and Control

As of 12 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.05481.

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

pith.paper-citation-record.v1
2509.05481 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:30:02.110734Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy26
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2aea9864-ef6b-48fa-86b2-5375c33c8bba · outbound

This paper cites Synthetic biology 2020–2030: Six commercially avail- able products that are changing our world,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Synthetic biology 2020–2030: Six commercially avail- able products that are changing our world,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.460280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a647f1c1-88dd-413a-ba1d-fed3a29e1906 · outbound

This paper cites Construction of a genetic toggle switch in escherichia coli,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Construction of a genetic toggle switch in escherichia coli,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.448573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 481251cc-8eb9-46ad-945f-464ac3d02dea · outbound

This paper cites A synthetic oscillatory network of transcriptional regulators,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control A synthetic oscillatory network of transcriptional regulators,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.436557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f1d94db-df96-44fd-a0c4-962b2a6dc7c3 · outbound

This paper cites Construction of an escherichia coli strain to degrade phenol completely with two modified metabolic modules,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Construction of an escherichia coli strain to degrade phenol completely with two modified metabolic modules,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.425004Z

Source-reported events for the cited work

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Observation 091a5111-8b91-4988-a703-350e0c91850a · outbound

This paper cites An introduction to chimeric antigen receptor (car) t-cell immunother- apy for human cancer,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control An introduction to chimeric antigen receptor (car) t-cell immunother- apy for human cancer,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.413384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aee55e0c-ebd0-4f26-b4f1-f4d8d3ef8b7b · outbound

This paper cites A universal biomolecular integral feedback controller for robust perfect adaptation,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control A universal biomolecular integral feedback controller for robust perfect adaptation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.401825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7a53768-1590-4406-a004-54b0069f2176 · outbound

This paper cites Neural network computation with dna strand displacement cascades,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Neural network computation with dna strand displacement cascades,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.389446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 75a1f4c0-1398-4922-859c-b6e4d6e0a3cc · outbound

This paper cites Programming molecular systems to emulate a learning spiking neuron,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Programming molecular systems to emulate a learning spiking neuron,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.377964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 060f0a69-9915-4bfc-a06f-bbc067823db2 · outbound

This paper cites A dynamical biomolecular neural network,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control A dynamical biomolecular neural network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.366117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb7581fb-e1fc-4387-bc76-3c8d44614c46 · outbound

This paper cites Development of a neuron model based on dnazyme regulation,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Development of a neuron model based on dnazyme regulation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.354723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3eb11373-0b2f-41e1-97fd-8e20939470a7 · outbound

This paper cites Signaling-based neural networks for cellular computation,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Signaling-based neural networks for cellular computation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.343324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6fb4cc7d-28ca-4e29-8071-23538b384037 · outbound

This paper cites Interpretable policies from formally-specified temporal properties,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Interpretable policies from formally-specified temporal properties,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.331759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 521fc5e4-f753-437a-a3ab-632b0625ce35 · outbound

This paper cites Control from signal temporal logic specifications with smooth cumulative quantitative semantics,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Control from signal temporal logic specifications with smooth cumulative quantitative semantics,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.320074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ea4997b-e087-4a27-8e04-f94ff4558cd6 · outbound

This paper cites Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.308215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 493a46eb-43a0-426d-97fc-dc1cae458316 · outbound

This paper cites Temporal logic based synthesis of experimentally constrained interaction networks,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Temporal logic based synthesis of experimentally constrained interaction networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.296057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb71968c-a91a-4f69-9fc7-b731d0a19980 · outbound

This paper cites On the use of temporal formal logic to model gene regulatory networks,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control On the use of temporal formal logic to model gene regulatory networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.284209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 09f8eb97-94a9-42a1-92c0-e5860eaae728 · outbound

This paper cites Learning biomolecular models using signal temporal logic,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Learning biomolecular models using signal temporal logic,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.272369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b04b6f4-02aa-4717-9f0f-8fc2facd2580 · outbound

This paper cites Monitoring temporal properties of con- tinuous signals,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Monitoring temporal properties of con- tinuous signals,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.260681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d85030d3-7086-4121-b7a1-aba7d041aed0 · outbound

This paper cites Robust satisfaction of temporal logic over real-valued signals,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Robust satisfaction of temporal logic over real-valued signals,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.248821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7522917b-0657-4534-8324-67954a044eb8 · outbound

This paper cites Adabelief optimizer: Adapting stepsizes by the belief in observed gradients,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Adabelief optimizer: Adapting stepsizes by the belief in observed gradients,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.236968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7c161e47-acb6-4d64-950b-1f61e4b8e828 · outbound

This paper cites Neural ordinary differential equations,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Neural ordinary differential equations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.225185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4412f5c0-04ef-4e0a-983a-5130526bc211 · outbound

This paper cites Jax: Composable transformations of python+numpy programs,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Jax: Composable transformations of python+numpy programs,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.211875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60a7e0e2-7296-4259-82b3-743d17cd8a98 · outbound

This paper cites On neural differential equations,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control On neural differential equations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.198611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a2cf8f9-aa36-4cd1-8abc-74a8d54622c6 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Understanding the difficulty of training deep feedforward neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.186515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2aa488d-633b-493f-ab7f-6b5ca016fb4a · outbound

This paper cites Singly diagonally implicit runge–kutta methods with an explicit first stage,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Singly diagonally implicit runge–kutta methods with an explicit first stage,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.173546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2908c9ee-3575-47df-bc3d-0562536899c3 · outbound

This paper cites Predicting experimental sepsis survival with a mathematical model of acute inflammation,.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Predicting experimental sepsis survival with a mathematical model of acute inflammation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:02.161361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4332bb9d-a603-4b87-aaf8-4812f787e0b6 · outbound

This paper cites Safe Control under Uncertainty.

STL-based Optimization of Biomolecular Neural Networks for Regression and Control Safe Control under Uncertainty

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:02.148457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.