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Paper Citation Record · LEDGER

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.16447.

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

pith.paper-citation-record.v1
2411.16447 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:10:23.191464Z

measured 20 of 20 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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 580c9470-40d2-408a-8781-4f26748bd61d · outbound

This paper cites Gehlen, Probabilistische Lebensdauerbemessung von Stahlbetonbauwerken – Zu- verl¨ assigkeitsbetrachtungen zur wirksamen Vermeidung von Bewehrungskorrosion.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Gehlen, Probabilistische Lebensdauerbemessung von Stahlbetonbauwerken – Zu- verl¨ assigkeitsbetrachtungen zur wirksamen Vermeidung von Bewehrungskorrosion

Reference 1

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verified fuzzy
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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.

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Observation 5d5f671c-e488-4e55-8e0f-2bb665651812 · outbound

This paper cites Holst, Korrosionsmonitoring und Bruchortung vorgespannter Zugglieder in Bauwerken.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Holst, Korrosionsmonitoring und Bruchortung vorgespannter Zugglieder in Bauwerken

Reference 2

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verified fuzzy
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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.

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Observation c2cdc5e8-a17a-4e86-9211-154cf88075d8 · outbound

This paper cites Monitoring von Betonbauwerken: Sensoren, Methoden, Erfahrungen,.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Monitoring von Betonbauwerken: Sensoren, Methoden, Erfahrungen,

Reference 3

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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.

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Observation a9b832cd-140a-424f-9e02-e24e63564f5b · outbound

This paper cites Korrosionsmonitoring von stahlbetonbauwerken mit einem funkbasierten drahtsensor,.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Korrosionsmonitoring von stahlbetonbauwerken mit einem funkbasierten drahtsensor,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T13:10:23.440665Z

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.

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Observation 306ce3bf-f157-4e44-9c85-fb5e7313114f · outbound

This paper cites Korrosionsmonitoring von stahlbetonbauwerken als element des lebensdauermanagements,.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Korrosionsmonitoring von stahlbetonbauwerken als element des lebensdauermanagements,

Reference 5

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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.

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Observation 4b9a046b-57bc-4eee-8311-8dd9abd5f3c3 · outbound

This paper cites BA W - Merkblatt: Dauerhaftigkeitsbemessung bei Carbon- atisierung und Chlorideinwirkung (MDCC).

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data BA W - Merkblatt: Dauerhaftigkeitsbemessung bei Carbon- atisierung und Chlorideinwirkung (MDCC)

Reference 6

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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.

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Observation 1cfb6323-af3a-45a6-a0d0-361876ef2dd1 · outbound

This paper cites Chloride transport in concrete: theory and application,.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Chloride transport in concrete: theory and application,

Reference 7

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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.

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Observation f8416a63-d32e-45b7-9f56-a1bfe7655ff7 · outbound

This paper cites Lausanne, Switzerland: CEB Bulletin No.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Lausanne, Switzerland: CEB Bulletin No

Reference 8

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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.

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Observation 893f7f45-2d3a-47fb-b984-aac13e79e474 · outbound

This paper cites Bayesian Optimization: Open source constrained global optimization tool for Python,.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Bayesian Optimization: Open source constrained global optimization tool for Python,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37ef3491-24bd-4103-ba25-47587de5a305 · outbound

This paper cites Goodfellow, Y.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Goodfellow, Y

Reference 10

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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.

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Observation 670e67e4-ba8f-4953-a0a6-0f56c2a2c6ae · outbound

This paper cites DIN EN 12390-11:2015-11, Pr¨ ufung von Festbeton - Teil 11: Bestimmung des Chloridwiderstandes von Beton - Einseitig gerichtete Diffusion; Deutsche Fassung EN 12390-11:2015.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data DIN EN 12390-11:2015-11, Pr¨ ufung von Festbeton - Teil 11: Bestimmung des Chloridwiderstandes von Beton - Einseitig gerichtete Diffusion; Deutsche Fassung EN 12390-11:2015

Reference 11

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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.

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Observation 55e58adc-046b-4c30-a060-4312449c42f8 · outbound

This paper cites Monte carlo and quasi-monte carlo sampling.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Monte carlo and quasi-monte carlo sampling

Reference 12

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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.

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Observation 32d2e57c-0847-4d9f-bdd7-82b386d0d343 · outbound

This paper cites an unresolved cited work.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-12T13:10:23.356533Z

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.

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Observation 6100faaa-b7c8-4574-92c1-ebdd89366323 · outbound

This paper cites The Sobol sampling algorithm ensures that the points are distributed uniformly, covering the range for each input parameter effectively.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data The Sobol sampling algorithm ensures that the points are distributed uniformly, covering the range for each input parameter effectively

Reference 14

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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.

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Observation 463687fd-d1c2-4b9d-8df5-e12a09e93835 · outbound

This paper cites an unresolved cited work.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Unresolved cited work

Reference 15

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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.

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Observation 573d5f76-4c12-48b8-bf5c-a96c09dc6627 · outbound

This paper cites • Total-order Sobol indices S(j) T for be, Dt, and a, representing the total contribution of each parameter, including all interactions, for the j-th combination of data points.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data • Total-order Sobol indices S(j) T for be, Dt, and a, representing the total contribution of each parameter, including all interactions, for the j-th combination of data points

Reference 16

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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.

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Observation 5903e767-365c-49fb-93cd-dda1befb97f1 · outbound

This paper cites • Xi represents the i-th input parameter ( be, Dt, or a).

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data • Xi represents the i-th input parameter ( be, Dt, or a)

Reference 17

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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.

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Observation f98ccc9e-bc44-43e3-940d-766715302574 · outbound

This paper cites • m is the total number of combinations of x, t, and TIST as defined in Table 2.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data • m is the total number of combinations of x, t, and TIST as defined in Table 2

Reference 18

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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.

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Observation 37b2a93d-3f13-49fa-95aa-069e113d09cb · outbound

This paper cites an unresolved cited work.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Unresolved cited work

Reference 19

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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.

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Observation 89439f70-a130-4b78-b59e-4d33b22ddb38 · outbound

This paper cites an unresolved cited work.

Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data Unresolved cited work

Reference 20

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

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Pith citing papers

No inbound Pith citation observations are available.