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Paper Citation Record · LEDGER

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.05207.

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

pith.paper-citation-record.v1
2608.05207 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:18:50.647240Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3ba4b36-3dfa-41fa-b718-6bfabd889156 · outbound

This paper cites VEST: Automatic Feature Engineering for Forecasting.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters VEST: Automatic Feature Engineering for Forecasting

Reference 1

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metadata mismatch
local_arxiv, observed 2026-08-08T18:18:51.521500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5edf3c14-38a0-4ac8-bc62-ab5311dd17ce · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T18:18:50.475685Z digest=sha256:07804047d0776581fdb4850055bdb4ee4faeff27923cc2486cec570f56e5e7aa

Observation 1e9ea0de-325b-4daa-a548-b37c91eb9a22 · outbound

This paper cites Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:18:50.480306Z digest=sha256:8485d284c32b5d23e826b268152d7cd55aaccfd6549b7141039e63378dde5451

Observation 266f245e-02be-43f8-beb8-11d1c5474f63 · outbound

This paper cites Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

Reference 4

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no resolver link, observed 2026-08-08T18:18:50.485610Z

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source=arxiv_source observed=2026-08-08T18:18:50.485610Z digest=sha256:80c05597f71d0faafba78315965bb6d2dbfd40d9baf041a7cc19d7b0e901b902

Observation 05a018a3-923b-4a2a-9484-ee049913d479 · outbound

This paper cites LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers

Reference 5

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source=arxiv_source observed=2026-08-08T18:18:50.491474Z digest=sha256:0209a8d3f140d2d55132bea05844bdd5c18cca915679ba5d34d9e86ae344a035

Observation ab078409-e252-4c73-8781-06dafc6cb79b · outbound

This paper cites Counterfactual Explanations for Time Series Forecasting.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Counterfactual Explanations for Time Series Forecasting

Reference 6

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local_arxiv, observed 2026-08-08T18:18:51.453723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b40433c4-2dbe-46fe-add0-41bd6806427b · outbound

This paper cites Surrogate Modeling for Explainable Predictive Time Series Corrections.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Surrogate Modeling for Explainable Predictive Time Series Corrections

Reference 7

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local_arxiv, observed 2026-08-08T18:18:51.433344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T18:18:50.501764Z digest=sha256:d163978274ab83b9a0fb0ea04114c80c041b2479e42ffc870dc592503d65a67e

Observation 692fe81c-d740-49d9-b6f3-ab3a4a3a3284 · outbound

This paper cites ELATE: Evolutionary Language model for Automated Time-series Engineering.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters ELATE: Evolutionary Language model for Automated Time-series Engineering

Reference 8

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local_arxiv, observed 2026-08-08T18:18:51.412628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T18:18:50.507560Z digest=sha256:3524cf8fa0ffa812ad162a1fd9aa1decb0c3d1488244577773d034e7c2b236d1

Observation bcd5e94b-c146-49fc-8e85-e91918fb9c19 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Proceedings of the 41st International Conference on Machine Learning , pages=

Reference 9

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raw_fallback, observed 2026-08-08T18:18:51.922714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T18:18:50.512627Z digest=sha256:5df1690d430723f7c8641f011c8950713548660310f591564741d14c308c03ff

Observation 396fa8e4-772b-428e-a255-4d1a1c8f71a3 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Transactions on Machine Learning Research , issn=

Reference 10

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Observation e8ee9a9c-e732-41dd-863d-6dc7d0474f5e · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Chronos-2: From Univariate to Universal Forecasting

Reference 11

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source=arxiv_source observed=2026-08-08T18:18:50.522231Z digest=sha256:a8a7e83150c77807fc1814199e1a0f784f9abcf7ccf4cbd9c74b3695777fcbb0

Observation 976920d0-6e59-455a-bcb3-f3822fdd2473 · outbound

This paper cites arXiv preprint arXiv:2511.11698 , year=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters arXiv preprint arXiv:2511.11698 , year=

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 8d808ad2-6d08-4ae4-8983-a76e6c80d27f · outbound

This paper cites Machine Learning , volume=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Machine Learning , volume=

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 8257a96c-e86b-4750-bdd1-50c8c6ff1234 · outbound

This paper cites Machine Learning: ECML 2006 , pages=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Machine Learning: ECML 2006 , pages=

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7a32c172-71f5-4776-8b53-4ca54e5d1ea7 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters A general reinforcement learning algorithm that masters chess, shogi, and

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c6081ae6-5f8a-454b-9184-76e5817ffaa2 · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f489ddd2-9f9f-470a-ad3c-777c08c19682 · outbound

This paper cites , journal=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters , journal=

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dfcda08f-73d8-4c08-ab6c-4e432dfdad63 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5a7ebaff-da38-4601-a8a7-8bc39a9ea1ce · outbound

This paper cites Automatic Feature Engineering Through.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Automatic Feature Engineering Through

Reference 19

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0017975f-e946-4349-bf5f-72d474cb60ba · outbound

This paper cites , journal=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters , journal=

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cc0fc09f-596f-4544-a405-c4df63a5d139 · outbound

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When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Peter , journal=

Reference 21

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2851de5a-0008-4db7-afb9-3629b3e3a086 · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9429c1d9-ea34-4bf8-9f26-4db881738b6c · outbound

This paper cites Human in the Loop Adaptive Optimization for Improved Time Series Forecasting.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Human in the Loop Adaptive Optimization for Improved Time Series Forecasting

Reference 23

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local_arxiv, observed 2026-08-08T18:18:51.207674Z

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Observation d1b3488c-15f7-46a5-9dbd-ee7e2e959d67 · outbound

This paper cites arXiv preprint arXiv:2601.20280 , year=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters arXiv preprint arXiv:2601.20280 , year=

Reference 24

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arxiv_id, observed 2026-08-08T18:18:51.184203Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 14a38b0e-dac3-4259-bdb4-486673022e95 · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6881ac39-1d24-4558-967e-c77fda90a52b · outbound

This paper cites arXiv preprint arXiv:2606.14222 , year=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters arXiv preprint arXiv:2606.14222 , year=

Reference 26

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arxiv_id, observed 2026-08-08T18:18:50.934467Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f568c89e-3ec1-4010-99ad-1ed059ea6997 · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 679e15f7-482a-488e-8c22-5d15ed39cde3 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning (ICML) , year=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Proceedings of the 41st International Conference on Machine Learning (ICML) , year=

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-08T18:18:51.668813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7102482a-50bb-4b21-8f2c-18bb24afff84 · outbound

This paper cites Toto: Time Series Optimized Transformer for Observability.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Toto: Time Series Optimized Transformer for Observability

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 21aed050-afd5-4a22-957b-40e14fd32b34 · outbound

This paper cites Applied Energy , volume =.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Applied Energy , volume =

Reference 30

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raw_fallback, observed 2026-08-08T18:18:51.653056Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 853dd379-116a-4665-a718-2a32aeeb6536 · outbound

This paper cites International Journal of Forecasting , volume =.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters International Journal of Forecasting , volume =

Reference 31

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raw_fallback, observed 2026-08-08T18:18:51.637303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 579db454-5b76-4476-8150-36c613369d2f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 09330607-45dc-4536-85e2-299b46a43b94 · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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This paper cites 2017 , howpublished =.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters 2017 , howpublished =

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 538ec660-f12c-4a88-80e5-f619bce8219b · outbound

This paper cites an unresolved cited work.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-08T18:18:51.573347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T18:18:50.633197Z digest=sha256:a5c226ddb9c44333249fe920b3f144d838a4a3083121398bca9ebe4c876b0e68

Observation 934cd588-7789-4b4e-b7cb-550f26c31012 · outbound

This paper cites 2025 , eprint=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters 2025 , eprint=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:18:51.557525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T18:18:50.637697Z digest=sha256:ccb4dd50fe6ce734923f223d0f14faa3fe028a5d8a7ef946855440e12eb1cf61

Observation 60721127-7c5a-49ba-b0e8-c9d60a9f815e · outbound

This paper cites 2021 , eprint=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters 2021 , eprint=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T18:18:50.642142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:18:50.642142Z digest=sha256:6ab155917cb4c127ec77eaf5aeff2a480669c0f7da12bf6c442a55b1d67e1340

Observation eb543310-7116-4793-b990-23d14688f250 · outbound

This paper cites 2019 , eprint=.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters 2019 , eprint=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T18:18:50.647240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:18:50.647240Z digest=sha256:a41bc8413cb5e310b26e6fdef86ae90927862c9e0ab2676c394f45465a44fd52

Pith citing papers

No inbound Pith citation observations are available.