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Paper Citation Record · LEDGER

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics

As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2605.29193.

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pith.paper-citation-record.v1
2605.29193 v1

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measured 60 of 60 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

60 of 60 outbound references displayed

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Outbound references

Observation 90a6b4ef-e8f8-4319-a3c1-7f6aa8807ac9 · outbound

This paper cites Technical aspects of storage tank loss prevention.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Technical aspects of storage tank loss prevention

Reference 1

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Observation d191d9b0-6a1d-4335-9e2f-72816d5e5708 · outbound

This paper cites CRC Press, 2015.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics CRC Press, 2015

Reference 2

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This paper cites Prevention of accidents to storage tanks for liquid products used in agriculture.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Prevention of accidents to storage tanks for liquid products used in agriculture

Reference 3

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This paper cites Environmental impact of wine fermenta- tion in steel and concrete tanks.Journal of Cleaner Production, 278:123602, 2021.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Environmental impact of wine fermenta- tion in steel and concrete tanks.Journal of Cleaner Production, 278:123602, 2021

Reference 4

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Observation dae8e5f2-ffbe-4365-b0ef-c0dd31d9e6e5 · outbound

This paper cites Peterson, Edgar C.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Peterson, Edgar C

Reference 5

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This paper cites Radioactive liquid waste treatment at Fukushima Daiichi.Journal of Chemical Technology & Biotechnology, 88(9):1592– 1596, 2013.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Radioactive liquid waste treatment at Fukushima Daiichi.Journal of Chemical Technology & Biotechnology, 88(9):1592– 1596, 2013

Reference 6

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This paper cites Fukushima Daiichi ALPS Treated Water Discharge - FAQs.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Fukushima Daiichi ALPS Treated Water Discharge - FAQs

Reference 7

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Observation a59eff90-cacd-4525-b1dd-bfc3fdb1f4cd · outbound

This paper cites A study of storage tank accidents.Journal of Loss Prevention in the Process Industries, 19(1):51–59, 2006.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics A study of storage tank accidents.Journal of Loss Prevention in the Process Industries, 19(1):51–59, 2006

Reference 8

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This paper cites Fault tree analysis of the storage tanks in the chemical industry.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Fault tree analysis of the storage tanks in the chemical industry

Reference 9

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This paper cites Understanding causes of leaking plant and equipment on construc- tion sites that can lead to soil and groundwater contamination.Remediation Journal, 25(1):115–131, 2014.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Understanding causes of leaking plant and equipment on construc- tion sites that can lead to soil and groundwater contamination.Remediation Journal, 25(1):115–131, 2014

Reference 10

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

Reference 11

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Observation 271f954f-380f-4f6b-8f6b-49846793b0d5 · outbound

This paper cites Epidemiological assessment of health effects from chemical incidents.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Epidemiological assessment of health effects from chemical incidents

Reference 12

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

Reference 13

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This paper cites Development of a multifaceted perspective for systematic analysis, assessment, and performance for environmental standards of contaminated sites.ACS Omega, 9(3):3078–3091, 2024.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Development of a multifaceted perspective for systematic analysis, assessment, and performance for environmental standards of contaminated sites.ACS Omega, 9(3):3078–3091, 2024

Reference 14

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This paper cites Detection of leaks in underground storage tanks using electrical resistance methods.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Detection of leaks in underground storage tanks using electrical resistance methods

Reference 15

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Observation e86fc295-9e3b-4c13-9994-7008843a2550 · outbound

This paper cites Review of chemical sensors for in-situ monitoring of volatile contaminants.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Review of chemical sensors for in-situ monitoring of volatile contaminants

Reference 16

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This paper cites On-site detection for hazardous materials in chemical accidents.Bulletin of the Korean Chemical Society, 42(1):4–16, 2021.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics On-site detection for hazardous materials in chemical accidents.Bulletin of the Korean Chemical Society, 42(1):4–16, 2021

Reference 17

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This paper cites Inverse problems and Torricelli’s law.The College Mathematics Journal, 24(3):210–217, 1993.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Inverse problems and Torricelli’s law.The College Mathematics Journal, 24(3):210–217, 1993

Reference 18

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This paper cites Bayesian calibration of electrical conductivity relaxation and isotope exchange-secondary ion mass spectrometry experiments.Journal of Electroceramics, 51(4):239–245, 2023.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Bayesian calibration of electrical conductivity relaxation and isotope exchange-secondary ion mass spectrometry experiments.Journal of Electroceramics, 51(4):239–245, 2023

Reference 19

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This paper cites Review on building energy model calibration by Bayesian inference.Renewable & Sustainable Energy Reviews, 143:110930, 2021.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Review on building energy model calibration by Bayesian inference.Renewable & Sustainable Energy Reviews, 143:110930, 2021

Reference 20

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This paper cites Bayesian calibration of thermodynamic models for the uptake of CO 2 in supported amine sorbents using ab initio priors.Physical Chemistry Chemical Physics, 15(12):4355–4366, 2013.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Bayesian calibration of thermodynamic models for the uptake of CO 2 in supported amine sorbents using ab initio priors.Physical Chemistry Chemical Physics, 15(12):4355–4366, 2013

Reference 21

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

Reference 22

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

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This paper cites Inverse problems: From regularization to Bayesian inference.Wiley Interdisciplinary Reviews: Computational Statistics, 10(3):e1427, 2018.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Inverse problems: From regularization to Bayesian inference.Wiley Interdisciplinary Reviews: Computational Statistics, 10(3):e1427, 2018

Reference 25

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics The Bayesian approach to inverse problems

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This paper cites A tutorial on the Bayesian statistical approach to inverse problems.APL Machine Learning, 1(4), 2023.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics A tutorial on the Bayesian statistical approach to inverse problems.APL Machine Learning, 1(4), 2023

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This paper cites Dip transform for 3D shape reconstruction.ACM Transactions on Graphics, 36(4):1–11, 2017.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Dip transform for 3D shape reconstruction.ACM Transactions on Graphics, 36(4):1–11, 2017

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This paper cites Inferring the cross-sectional area profile of an unseen solid in a draining tank from liquid level dynamics.Chemical Engineering Science, 309:121488, 2025.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Inferring the cross-sectional area profile of an unseen solid in a draining tank from liquid level dynamics.Chemical Engineering Science, 309:121488, 2025

Reference 29

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This paper cites Workshops for active learning and the draining tank as a case study.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Workshops for active learning and the draining tank as a case study

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This paper cites About the notion of inverse problem in STEM education.Active Learning-Research and Practice for STEAM and Social Sciences Education, page 31, 2022.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics About the notion of inverse problem in STEM education.Active Learning-Research and Practice for STEAM and Social Sciences Education, page 31, 2022

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This paper cites Carrying biomath education in a leaky bucket.Bulletin of Mathematical Biology, 74(9):2232–2264, 2012.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Carrying biomath education in a leaky bucket.Bulletin of Mathematical Biology, 74(9):2232–2264, 2012

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Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Bayesian calibration of computer models

Reference 33

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This paper cites Learning about physical parameters: The importance of model discrepancy.Inverse Problems, 30(11):114007, 2014.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Learning about physical parameters: The importance of model discrepancy.Inverse Problems, 30(11):114007, 2014

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This paper cites A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences

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This paper cites Gustafson.Differential Equations and Linear Algebra.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Gustafson.Differential Equations and Linear Algebra

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:77c67d82374d93be23e86e61ed1b7884a1c6022b087312fc160e491d03e7178c

Observation 2db147ab-5638-446f-b81b-1b14cdef2de6 · outbound

This paper cites Modelling tank drainage using a simple apparatus.International Journal of Mathematical Education in Science and Technology, 55(2):295–307, 2024.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Modelling tank drainage using a simple apparatus.International Journal of Mathematical Education in Science and Technology, 55(2):295–307, 2024

Reference 37

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:5aed94253ab607bcd8e0cd044e0bdb0318ee7df12445ba235a16c3f3297aa35a

Observation ddfb8d3f-3bb3-4f72-b80f-417db9a6a641 · outbound

This paper cites an unresolved cited work.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

Reference 38

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:f97a774ea1a379a323a557f7fad199aa62619c6047887b306e4bc4c0e8c1776f

Observation 342f6758-8752-4fb3-8170-897838a22f13 · outbound

This paper cites Time optimization of a draining tank and some similar problems on star graphs.Punjab University Journal of Mathematics, 51(7), 2020.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Time optimization of a draining tank and some similar problems on star graphs.Punjab University Journal of Mathematics, 51(7), 2020

Reference 39

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:2fbefb84f79d2e94f5de767bb775550ed5b499aeef65b6e5192f88b103ab1472

Observation 25f3f440-096e-4ca7-a507-7d9f60b30592 · outbound

This paper cites Investigating Torricelli’s law (and more) with a 19th-century bottle.The Physics Teacher, 57(2):106–108, 2019.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Investigating Torricelli’s law (and more) with a 19th-century bottle.The Physics Teacher, 57(2):106–108, 2019

Reference 40

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:f724139b5e9170ec771361894d332a4eddd609aee43ce976f46929dd624e0e53

Observation fd242296-9303-4e5c-90b8-edf1816d2f48 · outbound

This paper cites Vessel drainage under the influence of gravity.The Physics Teacher, 59(8):629–631, 2021.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Vessel drainage under the influence of gravity.The Physics Teacher, 59(8):629–631, 2021

Reference 41

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:eea8398a12de10c427e7b1f1df44aaf2ee5be423f5ef1759d45cf9973bd29388

Observation 556e4167-fd05-4e3f-914d-ffeb5a5ffa89 · outbound

This paper cites American Mathematical Soc., 2012.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics American Mathematical Soc., 2012

Reference 42

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:9c929fa6183bbd34457228bdd7f431b42ae83d2e51d2a90292d31e9fc7c3bbb9

Observation 80364428-25b8-40d3-8416-3dfe9c842f05 · outbound

This paper cites Tadesse, Marina Vannucci, Andrew Gelman, Duco Veen, Joukje Willem- sen, and Christopher Yau.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Tadesse, Marina Vannucci, Andrew Gelman, Duco Veen, Joukje Willem- sen, and Christopher Yau

Reference 43

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:e013ebd9fa2296171687967f6f036239adc93173f0289579f8e01576475f4920

Observation 318aace4-8fa4-4ff4-84df-c79e51c19ab6 · outbound

This paper cites Statistical machine learning: Bayesian inference, 2014.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Statistical machine learning: Bayesian inference, 2014

Reference 44

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:894b594ded62159ed1e38046f2e82e16be069a2d59ff14854dc8459642293128

Observation 88161dc4-41e3-40f1-bb89-80581dd56c29 · outbound

This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 45

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local_arxiv, observed 2026-07-01T19:06:03.651751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:3869cb7dbcf7572cdc90e5f92568f5461382b99b5ce79efa45d6d127bed89e77

Observation 997b6d11-773a-4f7f-a8b2-39b270056fcd · outbound

This paper cites The No-U-Turn sampler: adaptively set- ting path lengths in Hamiltonian Monte Carlo.Journal of Machine Learning Research, 15(1):1593–1623, 2014.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics The No-U-Turn sampler: adaptively set- ting path lengths in Hamiltonian Monte Carlo.Journal of Machine Learning Research, 15(1):1593–1623, 2014

Reference 46

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:c30cbccb6ecc4c080d5fc69c1e4e4e53b87046d5b1b429c177eadfbf7dd3a99c

Observation 0bec5584-509d-463e-9705-efed7bfa89e2 · outbound

This paper cites Inference from iterative simulation using multiple sequences.Statistical Science, 7(4):457–472, 1992.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Inference from iterative simulation using multiple sequences.Statistical Science, 7(4):457–472, 1992

Reference 47

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:2532c14097abe61bc6ed4606d81759cb74118dd480351453849c80a684103a13

Observation f333bae7-0f8e-492d-9965-f19e1e5aa23e · outbound

This paper cites General methods for monitoring convergence of iterative simulations.Journal of Computational and Graphical Statistics, 7(4):434–455, 1998.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics General methods for monitoring convergence of iterative simulations.Journal of Computational and Graphical Statistics, 7(4):434–455, 1998

Reference 48

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:f1fec0cdf6dc142d6163db84b55244b43f13c29b1fa2e6221351c496c8afa4b5

Observation fdc9ef22-bb13-4139-b7d4-c5a9d7835b4a · outbound

This paper cites Convergence diagnostics for Markov chain Monte Carlo.Annual Review of Statistics and Its Application, 7(1):387–412, 2020.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Convergence diagnostics for Markov chain Monte Carlo.Annual Review of Statistics and Its Application, 7(1):387–412, 2020

Reference 49

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:7817b2b838ec0398d620931e46c667a2b1ff86ebabb1d1b84313389a5fb42aad

Observation 5f73a468-0fdd-4be4-a9c2-73238fb88590 · outbound

This paper cites Julia: A fresh ap- proach to numerical computing.SIAM Review, 59(1):65–98, 2017.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Julia: A fresh ap- proach to numerical computing.SIAM Review, 59(1):65–98, 2017

Reference 50

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:248dce5cc91ac7f9da6c60953466f80fc0bd6b66ab166feb701a16b97aa7146c

Observation 78506e76-dd99-43cf-8bbf-42e0778df887 · outbound

This paper cites DifferentialEquations.jl–a performant and feature-rich ecosystem for solving differential equations in Julia.Journal of Open Re- search Software, 5(1), 2017.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics DifferentialEquations.jl–a performant and feature-rich ecosystem for solving differential equations in Julia.Journal of Open Re- search Software, 5(1), 2017

Reference 51

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:0c6ec6bdc8f5e0b93f9fc2b2b5e0750054c9a8992a3d6bf0509669fe5d4e00c9

Observation 2a9652e3-74cd-48a3-b66c-ec2a0a0059be · outbound

This paper cites Turing: a language for flexible probabilistic inference.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Turing: a language for flexible probabilistic inference

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:08138ccf21dbe51963dce7b18562c098301a92877d5a829daed7c5f8d15bd4a8

Observation c16c4729-7f7a-4800-98d2-55d7155ef23e · outbound

This paper cites Cam- bridge University Press, 1999.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Cam- bridge University Press, 1999

Reference 53

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:3cd33f1fa1de3ce7b88f9bcedd7f2744e6b549e08b4344337e9ef0a59c8236fe

Observation ae68cf28-c3ab-40ca-874b-cb2090962906 · outbound

This paper cites The drain- ing of a tank: a lab experiment in fluid mechanics.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics The drain- ing of a tank: a lab experiment in fluid mechanics

Reference 54

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:4975123a17b685517986701435b6da927caff4a5888851c20b0046f8636c3b7f

Observation 6c299210-0398-47ac-a7fc-e40e2eb1069f · outbound

This paper cites The tank drainage problem revisited: Do these equations actually work?The Canadian Journal of Chemical Engineering, 81(5):1052– 1057, 2003.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics The tank drainage problem revisited: Do these equations actually work?The Canadian Journal of Chemical Engineering, 81(5):1052– 1057, 2003

Reference 55

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:7c04636955988f4334b56255264f75583f40c1cd57147a514fb814a2cfc67186

Observation 31565577-d838-4363-8266-8a356a1c3b3c · outbound

This paper cites Bottle emptying: A fluid mechanics and measurements exercise for engineering undergraduate students.Fluids, 4(4):183, 2019.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Bottle emptying: A fluid mechanics and measurements exercise for engineering undergraduate students.Fluids, 4(4):183, 2019

Reference 56

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:c81af9c197bc2e100edba39f2df89e52b1e9cda32e419fa527db64268ecfb045

Observation 11175a2f-de98-4473-9f9b-aadc4bd625ae · outbound

This paper cites On the glug-glug of ideal bottles.Journal of Fluid Mechanics, 510:145–168, 2004.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics On the glug-glug of ideal bottles.Journal of Fluid Mechanics, 510:145–168, 2004

Reference 57

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:6fee2d7f30b1f7d7b95b86a7177eec92197217be4742a7aa5114398d5cdd846c

Observation 9983d584-7067-42b4-8d72-e4ad9c79da2c · outbound

This paper cites Efficacy of existing transient models for spill area forecasting.Journal of Chemical Health & Safety, 26(4-5):33–37, 2019.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Efficacy of existing transient models for spill area forecasting.Journal of Chemical Health & Safety, 26(4-5):33–37, 2019

Reference 58

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:0e3d7d57e049eb10755bafd81ae2c2e306005bbc8834cb9bde8bf37540dd7fc6

Observation f03e126c-c2f4-4712-a6e1-90d92af7eb58 · outbound

This paper cites an unresolved cited work.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics Unresolved cited work

Reference 59

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:fd6af20a7cc73747cf0a05184f048145e9744d2e5a8bf7aafa3a8f19395c4e41

Observation 51c7f738-96df-447e-8d62-87ec51a70c8d · outbound

This paper cites the tank was at least half full.

Bayesian reversal of the liquid level trajectory in a draining tank for pollution forensics the tank was at least half full

Reference 60

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source=pdf_text observed=2026-06-29T00:26:26.989108Z digest=sha256:bd66b607e726ff6b4d85f784c00c2b65fda17f0a4af5eb69b7dc0f85c904f071

Pith citing papers

No inbound Pith citation observations are available.