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Paper Citation Record · LEDGER

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2605.25794.

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

pith.paper-citation-record.v1
2605.25794 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:19:29.541390Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:06:18.672841Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-06-30T08:14:25.804045Z

Reference resolution

22 of 22 outbound references displayed

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External citation measurements

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Outbound references

Observation 19dffcae-10f4-4325-a670-5803382aed92 · outbound

This paper cites International Journal of Educational Technol- ogy in Higher Education16(1), 1–20 (2019).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs International Journal of Educational Technol- ogy in Higher Education16(1), 1–20 (2019)

Reference 1

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Observation eed515c1-8fae-4f94-bf76-642cff2ba430 · outbound

This paper cites Computers & Education158(2020).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Computers & Education158(2020)

Reference 2

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Observation e95d33ad-e2c6-414a-9c9c-6ee8e7be89f9 · outbound

This paper cites an unresolved cited work.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Unresolved cited work

Reference 3

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Observation 3921ed26-d7c0-4f66-804c-5bb9d3460b04 · outbound

This paper cites IEEE Trans- actions on Learning Technologies10(1), 17–29 (2016).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs IEEE Trans- actions on Learning Technologies10(1), 17–29 (2016)

Reference 4

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Observation d8a81e28-1b7d-4bd6-940b-50b1b1d16d2d · outbound

This paper cites In: Proceedings of the 23rd international conference on Machine learning.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs In: Proceedings of the 23rd international conference on Machine learning

Reference 5

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Observation 782c20be-9bc9-4003-ae5e-7634f66df549 · outbound

This paper cites Journal of the American Medical Informatics Association31(1), 274–280 (09 2023).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Journal of the American Medical Informatics Association31(1), 274–280 (09 2023)

Reference 6

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Observation b4b61fd4-4a8c-4441-b7e3-4e894c32d6ad · outbound

This paper cites In: Proceedings of the 17th International Conference on Educational Data Mining.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs In: Proceedings of the 17th International Conference on Educational Data Mining

Reference 7

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Observation afc0fe7c-e655-4062-8e45-95027aab3e7c · outbound

This paper cites Pattern recognition letters27(8), 861–874 (2006).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Pattern recognition letters27(8), 861–874 (2006)

Reference 8

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Observation 5ca54387-d8d7-4d81-bf9a-6b24badde0be · outbound

This paper cites Monthly weather review78(1), 1–3 (1950).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Monthly weather review78(1), 1–3 (1950)

Reference 9

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Observation 47f7510b-03c1-4bec-9ea8-e79ab7460c23 · outbound

This paper cites Journal of the American statistical Association102(477), 359–378 (2007).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Journal of the American statistical Association102(477), 359–378 (2007)

Reference 10

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Observation e86e0514-7e67-4306-8469-dfa76c4f0a9d · outbound

This paper cites Computers in Human Behavior36(2014).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Computers in Human Behavior36(2014)

Reference 11

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Observation 2a2daeb5-e157-44d0-b29d-ee7f2c63cc71 · outbound

This paper cites Patterns4(9) (2023).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Patterns4(9) (2023)

Reference 12

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Observation 3ecad8d9-9115-4354-814d-d3eff11fd644 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data (TKDD)6(4), 1–21 (2012).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs ACM Transactions on Knowledge Discovery from Data (TKDD)6(4), 1–21 (2012)

Reference 13

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Observation ea7c0fcd-32ef-4f63-b8cf-3487b393555e · outbound

This paper cites Scientific data4(1), 1–8 (2017).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Scientific data4(1), 1–8 (2017)

Reference 14

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Observation ca3af3e5-d492-45e8-b091-da9823868b6e · outbound

This paper cites Automated skill decomposition meets expert ontologies: Bridging the granularity gap with llms.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Automated skill decomposition meets expert ontologies: Bridging the granularity gap with llms

Reference 15

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

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Observation bb2af430-1327-4783-b4e7-b73fe129b1eb · outbound

This paper cites How Well Do LLMs Predict Prerequisite Skills? Zero-Shot Comparison to Expert-Defined Concepts.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs How Well Do LLMs Predict Prerequisite Skills? Zero-Shot Comparison to Expert-Defined Concepts

Reference 16

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

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Observation 7b045693-a2d6-4d56-974a-70a0c5353aa5 · outbound

This paper cites earlywarningsystem.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs earlywarningsystem

Reference 17

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Observation 8cbf9674-53ad-4d48-80ca-74524c49190d · outbound

This paper cites the Journal of machine Learning research12, 2825–2830 (2011).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs the Journal of machine Learning research12, 2825–2830 (2011)

Reference 18

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Observation 32bddbb2-3ffa-48f0-8ae4-20bd9d25b370 · outbound

This paper cites PloS one10(3), e0118432 (2015).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs PloS one10(3), e0118432 (2015)

Reference 19

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This paper cites Computers and Education: Arti- ficial Intelligence5, 100175 (2023) 14 NL Le et al.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Computers and Education: Arti- ficial Intelligence5, 100175 (2023) 14 NL Le et al

Reference 20

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Observation 787894e5-e7e9-4c06-8b92-54f7d0c277df · outbound

This paper cites Iscience28(11) (2025).

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Iscience28(11) (2025)

Reference 21

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Observation e0b2b2db-e4b0-499a-bc4a-a1db12aa5e92 · outbound

This paper cites In: Proceedings of the joint IBM/University of Newcastle upon tyne seminar on data base systems.

When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs In: Proceedings of the joint IBM/University of Newcastle upon tyne seminar on data base systems

Reference 22

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Pith citing papers

Observation 7fa2b549-ac06-4c06-ad6f-b24e67a18439 · inbound

Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning cites this paper.

Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs

Reference 11

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