Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Random Forests: From Theory to Practice
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1407.7502.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:17:55.264591Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8f2fd83d-bf92-40f5-95c3-2884b2e5de82 · inbound
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions cites this paper.
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions Understanding Random Forests: From Theory to Practice
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T10:24:19.892833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 63ff60de-a78f-4b20-9aaf-2accd59dd7c3 · inbound
From seagull to hummingbird: New diagnostic methods for resolving galaxy activity cites this paper.
From seagull to hummingbird: New diagnostic methods for resolving galaxy activity Understanding Random Forests: From Theory to Practice
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:17:55.264591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21d7e3c4-24c4-4f16-be01-c6a3c60e246d · inbound
What makes a good BIM design: quantitative linking between design behavior and quality cites this paper.
What makes a good BIM design: quantitative linking between design behavior and quality Understanding Random Forests: From Theory to Practice
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:38:25.895261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5a05a56-2539-470f-aff7-872a603cfd6a · inbound
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models cites this paper.
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models Understanding Random Forests: From Theory to Practice
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T02:37:25.681428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e7cf4d60-6d70-42f1-bff1-3e31010a1230 · inbound
Optimisation of amplification and gas mixture for directional Dark Matter searches with the CYGNO/INITIUM project cites this paper.
Optimisation of amplification and gas mixture for directional Dark Matter searches with the CYGNO/INITIUM project Understanding Random Forests: From Theory to Practice
Reference 222
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:34:29.422668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8944dfc0-fce3-4662-a801-b8bafb67e664 · inbound
A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery cites this paper.
A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery Understanding Random Forests: From Theory to Practice
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:09:46.816529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35c5c972-abfd-44d1-8c84-282ca93c1153 · inbound
Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System cites this paper.
Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System Understanding Random Forests: From Theory to Practice
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:29:43.142852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8ee38cd-9021-4215-bc90-65da7e462f10 · inbound
Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System cites this paper.
Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System Understanding Random Forests: From Theory to Practice
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:29:43.147740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9210726-05b8-4879-962c-675a59b5edeb · inbound
Profile Likelihood Inference for Anisotropic Hyperbolic Wrapped Normal Models on Hyperbolic Space cites this paper.
Profile Likelihood Inference for Anisotropic Hyperbolic Wrapped Normal Models on Hyperbolic Space Understanding Random Forests: From Theory to Practice
Reference 268
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T19:20:11.592570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 64caf93f-77f1-41ea-9dfd-611baf6c6ad1 · inbound
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy cites this paper.
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy Understanding Random Forests: From Theory to Practice
Reference 278
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T03:14:58.347108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd3b45c8-b902-491e-97af-74b3902bf33b · inbound
Correlation between baryonic process and galaxy assembly bias cites this paper.
Correlation between baryonic process and galaxy assembly bias Understanding Random Forests: From Theory to Practice
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T05:13:03.475228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2a34d7b1-56bb-4a93-a0b4-02603e7cc5cd · inbound
How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration cites this paper.
How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration Understanding Random Forests: From Theory to Practice
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T02:06:27.786252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f14dab59-98fe-44e6-bf63-3fa337174f61 · inbound
Cross-Attention Calibrated Deduplication for Retrieval-Augmented Generation System cites this paper.
Cross-Attention Calibrated Deduplication for Retrieval-Augmented Generation System Understanding Random Forests: From Theory to Practice
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T18:01:58.862856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.