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Paper Citation Record · LEDGER

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2606.23757.

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

pith.paper-citation-record.v1
2606.23757 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:26:31.874792Z

measured 55 of 55 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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.

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation d6778600-c21b-4c34-85a9-5251e90e26b3 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Proceedings of the national academy of sciences , volume=

Reference 1

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Observation 1acc19d4-af26-41b9-b9ea-c7ac79e1c7a0 · outbound

This paper cites Science advances , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Science advances , volume=

Reference 2

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Observation ea1134d7-b9f9-4544-91ea-13a8b74e6fc0 · outbound

This paper cites science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery science , volume=

Reference 3

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Observation 67c72611-d03f-41d1-95d9-88e429389284 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Proceedings of the National Academy of Sciences , volume=

Reference 4

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Observation 91decafc-5a48-4e1f-81e9-8985652cd6be · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 5

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Observation ca50d119-703d-496d-8350-5594e826a961 · outbound

This paper cites Proceedings of the 2020 genetic and evolutionary computation conference companion , pages=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Proceedings of the 2020 genetic and evolutionary computation conference companion , pages=

Reference 6

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Observation 16a35ed9-db4d-46e7-b62e-25a749093675 · outbound

This paper cites A Semiparametric Approach to Interpretable Machine Learning.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery A Semiparametric Approach to Interpretable Machine Learning

Reference 7

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Observation d374a4c3-4650-447a-933e-344997adc34a · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 8

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Observation 52c7daaa-c0c7-4b03-951f-2a15a535e40b · outbound

This paper cites Journal of the american statistical association , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the american statistical association , volume=

Reference 9

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Observation aaaffd51-5c77-4629-b31b-b689afa031a8 · outbound

This paper cites an unresolved cited work.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Unresolved cited work

Reference 10

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Observation 70bfd993-1603-4f32-80e0-daaee480658d · outbound

This paper cites Chemical Engineering Science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Chemical Engineering Science , volume=

Reference 11

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Observation 8bb786d8-293a-4296-815d-f54593b8529f · outbound

This paper cites Computers & Chemical Engineering , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Computers & Chemical Engineering , volume=

Reference 12

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Observation b0004b1a-17f7-436b-83b6-a23e756bb9ad · outbound

This paper cites Chaos: An Interdisciplinary Journal of Nonlinear Science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Chaos: An Interdisciplinary Journal of Nonlinear Science , volume=

Reference 13

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Observation 01a5d380-482c-4084-a0b1-2cb5b8cf4aaf · outbound

This paper cites Chemical Product and Process Modeling , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Chemical Product and Process Modeling , volume=

Reference 14

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Observation 1802a39c-90f3-44b1-979f-b9204cc8507d · outbound

This paper cites PLoS computational biology , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery PLoS computational biology , volume=

Reference 15

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Observation 96ba07e0-b420-4741-99e9-96d29c031b7c · outbound

This paper cites Chemical Engineering Science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Chemical Engineering Science , volume=

Reference 16

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Observation d950ad4b-0b3d-4d24-8029-affda83227dc · outbound

This paper cites Journal of the Royal Society Interface , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the Royal Society Interface , volume=

Reference 17

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Observation 2bc74242-316d-4787-a93d-915a223e47e8 · outbound

This paper cites IEEE Transactions on biomedical engineering , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery IEEE Transactions on biomedical engineering , volume=

Reference 18

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Observation f29bb3f9-90df-4ec6-bc32-3d27f62f957d · outbound

This paper cites (No Title) , year=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery (No Title) , year=

Reference 19

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Observation 2a7f9c24-1015-4a23-8647-e9a6c5ca4c9a · outbound

This paper cites Chemical Engineering Science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Chemical Engineering Science , volume=

Reference 20

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Observation d34bc244-1193-4e3e-87c2-f09ca0b2a23e · outbound

This paper cites Archive for rational mechanics and analysis , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Archive for rational mechanics and analysis , volume=

Reference 21

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Observation d5ff790d-108f-4386-a978-18089df27849 · outbound

This paper cites The deficiency zero and deficiency one theorems , author=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery The deficiency zero and deficiency one theorems , author=

Reference 22

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Observation 635bed17-c11b-4c6b-96d7-7aa0baa96b1b · outbound

This paper cites Biophysical journal , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Biophysical journal , volume=

Reference 23

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Observation bc5f688e-502c-477c-8160-7322da97241f · outbound

This paper cites BMC bioinformatics , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery BMC bioinformatics , volume=

Reference 24

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Observation 29aeae0d-1a5e-4349-9d4a-c42e80b6589d · outbound

This paper cites Wiley Interdisciplinary Reviews: Systems Biology and Medicine , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Wiley Interdisciplinary Reviews: Systems Biology and Medicine , volume=

Reference 25

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Observation ec4756ae-10e6-41d3-a7ac-524f01bc48f9 · outbound

This paper cites The Journal of Physical Chemistry B , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery The Journal of Physical Chemistry B , volume=

Reference 26

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Observation 59d68baf-0d2f-4ade-bac8-8aefe187c48d · outbound

This paper cites Journal of Mathematical Chemistry , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of Mathematical Chemistry , volume=

Reference 27

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Observation 3dd86d3b-3f83-430a-8462-613d4ebb8bd2 · outbound

This paper cites ACS central science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery ACS central science , volume=

Reference 28

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Observation bbbd9131-8ca9-48d8-997a-a722577fd909 · outbound

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Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of Chemical Information and Modeling , year=

Reference 29

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Observation 030e8d56-2eea-45d7-a393-88f4e409fd6c · outbound

This paper cites Nature , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Nature , volume=

Reference 30

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Observation 81483525-39b3-4cc8-b223-fce5e95a4d08 · outbound

This paper cites 2006 , publisher=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery 2006 , publisher=

Reference 31

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Observation 2afbe0bb-a259-40fe-b1ee-96a24b2c5705 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=

Reference 32

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Observation 6befd61c-0dc0-4c92-adde-ac82798756bc · outbound

This paper cites Journal of Computational Physics , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of Computational Physics , volume=

Reference 33

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Observation 17c26206-8d47-419a-8581-7e8a030fcfb1 · outbound

This paper cites Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids

Reference 34

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:1bded4bba28dc84167231fc69dec812734cf4a1efb203b91c330ba84cdde431f

Observation 3d960664-1b24-4c83-9912-00b9d2efd5d7 · outbound

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Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery 2016 , publisher=

Reference 35

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Observation f3bed395-d48c-4e49-9584-2bdf7be83b90 · outbound

This paper cites Annales de la Facult.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Annales de la Facult

Reference 36

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This paper cites Data-Centric Engineering , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Data-Centric Engineering , volume=

Reference 37

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Observation 3803c461-d2c0-44e0-9623-e9a5d59ecfc3 · outbound

This paper cites Journal of Computational Physics , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of Computational Physics , volume=

Reference 38

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:d9a443e64b72962e7e56c9e7cae0615995154af8a156aadb8c1520262cb9a4f8

Observation a1672377-9c35-4c8a-9c71-3d20e5562311 · outbound

This paper cites IEEE Transactions on Control Systems Technology , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery IEEE Transactions on Control Systems Technology , volume=

Reference 39

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:109bf01555057136a813f187cca21976391cb60a1632afd2e9c5b5f949162799

Observation 877897b9-f109-4449-8cb1-7e33aa36ff9f · outbound

This paper cites Automatica , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Automatica , volume=

Reference 40

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:b4245b60b3d704e785c45fcf26c4d02dd5c5a1e553ad4d1de320094c5ecb7763

Observation 588070a3-6d10-4658-9813-d223c8975f0b · outbound

This paper cites The journal of chemical physics , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery The journal of chemical physics , volume=

Reference 41

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no resolver link, observed 2026-06-26T09:26:31.874792Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:af94025252bb0250f069f331ce6bf045c58356e6d6880a4d057c720527263785

Observation 2b471cb9-75d7-404d-a553-2fc1b767f483 · outbound

This paper cites Biometrika , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Biometrika , volume=

Reference 42

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no resolver link, observed 2026-06-26T09:26:31.874792Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:3264da3b8d55b21871db3d6ca6b7ca1484c3c607b53e1025abacaf0116f4cf74

Observation 56fc7992-7aed-4d51-857b-8919c60ec40f · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 43

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no resolver link, observed 2026-06-26T09:26:31.874792Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:e6c344de4c6cb2993a43bb93370d121353c737201579c66c87af2b7cd4e711c2

Observation d72d04c4-cb28-4932-adab-e09fb814b21e · outbound

This paper cites Artificial intelligence and statistics , pages=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Artificial intelligence and statistics , pages=

Reference 44

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:8f0e3f0302214c5cbd4259bb499b2fcab7bab79403922fef58ad7a05101a2154

Observation 2ca3b43b-c425-45aa-b192-a36ff83d923e · outbound

This paper cites Journal of the american statistical association , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the american statistical association , volume=

Reference 45

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no resolver link, observed 2026-06-26T09:26:31.874792Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:5729f390de50e7f238a3d0b1a2140e2f4eded5b2cea8669ee3903a49c47efa48

Observation 6a096b35-f3cb-461c-b1d1-25aec1468d5b · outbound

This paper cites Journal of the American Statistical Association , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of the American Statistical Association , volume=

Reference 46

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:c6bdb85e3f45bf8ea7bcbb03cbb2a1dcaeea5035fc110ce18e2f23b414a7d8ee

Observation 8273ad46-dd02-4b01-b66f-d1be42e0b14d · outbound

This paper cites an unresolved cited work.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Unresolved cited work

Reference 47

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no resolver link, observed 2026-06-26T09:26:31.874792Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:52876ee949d47addd3a40c91d80a7a8fa7bce2b6a3bc758b4636283c997e218f

Observation f1df6b11-0673-4a48-8386-a3107e89602e · outbound

This paper cites Journal of Global optimization , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of Global optimization , volume=

Reference 48

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:acf705cba86788ddea99410a6856c7136f266cf153e915d6ced6d5d076106e91

Observation d33171a2-2bc7-4bbe-8e67-e1b930c97c2c · outbound

This paper cites Advances in neural information processing systems , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Advances in neural information processing systems , volume=

Reference 49

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no resolver link, observed 2026-06-26T09:26:31.874792Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:eaa7995bada0da7c7005103c60736d8e6dbcc87966317981c450e1b32de8b9e2

Observation 2f14edf9-56ae-4f74-94a1-99c49866078c · outbound

This paper cites Proceedings of the IEEE , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Proceedings of the IEEE , volume=

Reference 50

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:55571f7576f8750534f1fc0814c4a6c53ef5799e60cd2d91d65e9dd8bdff151b

Observation 2ce9192a-f8df-4630-98c5-039393672a36 · outbound

This paper cites European Journal of Applied Mathematics , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery European Journal of Applied Mathematics , volume=

Reference 51

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:e7bd6e4292d095ae1cf9cbb8fc7afd13a1423ae2ea39f46288931d4e04565850

Observation a4a78d80-b376-46ed-ada7-f5feb19c384f · outbound

This paper cites Neurocomputing , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Neurocomputing , volume=

Reference 52

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:0714dbd27d9e02bdc11d4b8710f576a1686c0b7ff7ff1ce233dc1d1af5d5cd5f

Observation a77232f1-7b36-4727-ae62-9d55a56bf035 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Journal of Machine Learning Research , volume=

Reference 53

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:7b8f567616063c6f47c832ab8b0321f62647c04e0ba7e192f0a5aaa9fdcb9322

Observation e72bf708-e0b2-4295-9341-d88a770d2b29 · outbound

This paper cites Chaos: An Interdisciplinary Journal of Nonlinear Science , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Chaos: An Interdisciplinary Journal of Nonlinear Science , volume=

Reference 54

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:808f3668e2ed291ea8f1041535975d71f32fab86c7eaf7e282cb67d642333b57

Observation d634ecba-8fa6-441b-848e-84b4f16ae1b7 · outbound

This paper cites Energy and AI , volume=.

Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery Energy and AI , volume=

Reference 55

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source=arxiv_source observed=2026-06-26T09:26:31.874792Z digest=sha256:da937f3cfd0305b895ab96aa67608f9e65ceeb3c08c09c05ad8752f0f371f2af

Pith citing papers

No inbound Pith citation observations are available.