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Paper Citation Record · LEDGER

Material synthesis through simulations guided by machine learning: a position paper

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.13953.

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

pith.paper-citation-record.v1
2411.13953 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:46:42.630174Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved3
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89e359e8-3e97-4fbd-93d7-8022a444f52a · outbound

This paper cites Qubahan Academic Journal1(2), 81–90 (2021).

Material synthesis through simulations guided by machine learning: a position paper Qubahan Academic Journal1(2), 81–90 (2021)

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e689ca51-ef61-43c9-a080-84b07cac4d7e · outbound

This paper cites The Journal of Solid Waste Technology and Management47(1), 56–60 (2021).

Material synthesis through simulations guided by machine learning: a position paper The Journal of Solid Waste Technology and Management47(1), 56–60 (2021)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.973467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 66e00ced-3872-4cf9-9baa-0b15cae43cb9 · outbound

This paper cites International Journal of Environmental Science and Engineering1(4), 167–172 (2009).

Material synthesis through simulations guided by machine learning: a position paper International Journal of Environmental Science and Engineering1(4), 167–172 (2009)

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4f4759a4-3421-4f03-9f09-8195424007fb · outbound

This paper cites Procedia Engineering 00 (2013) 000–000 (2013).

Material synthesis through simulations guided by machine learning: a position paper Procedia Engineering 00 (2013) 000–000 (2013)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.951292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f469d308-3273-4ea8-9738-5450d5b2afd2 · outbound

This paper cites In: In- ternational Congress on Engineering and Sustainability in the XXI Century.

Material synthesis through simulations guided by machine learning: a position paper In: In- ternational Congress on Engineering and Sustainability in the XXI Century

Reference 5

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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 2026-08-21T06:32:19.484+00:00.

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Observation cde9438b-345c-495f-b114-b02428b16ea6 · outbound

This paper cites Applied Ocean Research 104, 102339 (2020) Material synthesis through ML-guided simulations 15.

Material synthesis through simulations guided by machine learning: a position paper Applied Ocean Research 104, 102339 (2020) Material synthesis through ML-guided simulations 15

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4b9475b0-ab40-46d9-9537-6fe2e334753a · outbound

This paper cites Results in Engineering 17, 100794 (2023).

Material synthesis through simulations guided by machine learning: a position paper Results in Engineering 17, 100794 (2023)

Reference 7

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21c68205-cd11-4891-ab24-c664b1f8034c · outbound

This paper cites Information Sciences 591, 155–175 (2022).

Material synthesis through simulations guided by machine learning: a position paper Information Sciences 591, 155–175 (2022)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.916761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f8131c70-1d68-446c-81d6-632640d3b2d9 · outbound

This paper cites an unresolved cited work.

Material synthesis through simulations guided by machine learning: a position paper Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c4122810-eb25-45cf-92be-ff8e6090e522 · outbound

This paper cites Indian Geotechnical Journal50 (2020).

Material synthesis through simulations guided by machine learning: a position paper Indian Geotechnical Journal50 (2020)

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1c626a2e-c7e1-4fee-8c9e-5fbc9eab45e4 · outbound

This paper cites Construction and Building Materials325, 126607 (2022).

Material synthesis through simulations guided by machine learning: a position paper Construction and Building Materials325, 126607 (2022)

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2c734dab-5831-4c3c-9636-5c9b13e85a88 · outbound

This paper cites Journal of environmental management90(1), 466–470 (2009).

Material synthesis through simulations guided by machine learning: a position paper Journal of environmental management90(1), 466–470 (2009)

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bb2f50ec-72c8-4875-8792-efb4b15ce57a · outbound

This paper cites Minerals13 (2023).

Material synthesis through simulations guided by machine learning: a position paper Minerals13 (2023)

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 01fc461c-65fd-4ebe-9905-a36feb2480a6 · outbound

This paper cites Proceedings of the IEEE 104(1), 148–175 (2015).

Material synthesis through simulations guided by machine learning: a position paper Proceedings of the IEEE 104(1), 148–175 (2015)

Reference 14

Resolution
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no resolver link, observed 2026-08-12T15:46:42.597091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37a0ba68-7b3b-48e5-b678-f8b038f2743e · outbound

This paper cites Buildings13(7), 1856 (2023).

Material synthesis through simulations guided by machine learning: a position paper Buildings13(7), 1856 (2023)

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c435d0bd-37e1-450f-8ceb-5994adb4f48b · outbound

This paper cites Environmental Earth Sciences67 (2011).

Material synthesis through simulations guided by machine learning: a position paper Environmental Earth Sciences67 (2011)

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dbe4bcbc-ea59-4f18-8a29-358eac9d1f40 · outbound

This paper cites Journal of environmental management231, 86–97 (2019).

Material synthesis through simulations guided by machine learning: a position paper Journal of environmental management231, 86–97 (2019)

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 86ae73c9-7d9e-47ce-91d6-b8a1558cb13b · outbound

This paper cites MATEC Web of Conferences331, 1–7 (2020).

Material synthesis through simulations guided by machine learning: a position paper MATEC Web of Conferences331, 1–7 (2020)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.809714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0d0e1696-9833-4125-9175-e4c01852e221 · outbound

This paper cites Open Geosciences 12, 1247–1262 (2020).

Material synthesis through simulations guided by machine learning: a position paper Open Geosciences 12, 1247–1262 (2020)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.798647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b800b915-0a7c-4d77-bf87-955ca02b04dd · outbound

This paper cites Neurocomputing415, 295–316 (2020).

Material synthesis through simulations guided by machine learning: a position paper Neurocomputing415, 295–316 (2020)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.787554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9b8ffc6f-f353-45c1-9724-6c06b8fd1ea8 · outbound

This paper cites Hyper-Parameter Optimization: A Review of Algorithms and Applications.

Material synthesis through simulations guided by machine learning: a position paper Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:42.622697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae4a200a-c51c-422f-b28e-72ff5e4279a1 · outbound

This paper cites Materials Proceedings 5(1), 57 (2021).

Material synthesis through simulations guided by machine learning: a position paper Materials Proceedings 5(1), 57 (2021)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.776134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e619b8f4-3090-4797-8494-005a2302b0d2 · outbound

This paper cites Journal of cleaner production 178, 866–876 (2018).

Material synthesis through simulations guided by machine learning: a position paper Journal of cleaner production 178, 866–876 (2018)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:42.765002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.