Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:26.993328Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.01552.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:26.993328Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
22 of 22 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c27cbc84-71b0-413d-88c1-da00114a9ac2 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Unresolved cited work
Reference 1
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.
Observation 2048af5a-ca15-4f8f-a5f6-ea24406b59b4 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Let L : N × L →R satisfy Equations (2) and (3)
Reference 2
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.
Observation 168571db-ef5c-4a3c-bbf6-e8ea93c33089 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers This is independant of the input probability distribution p and can be performed beforehand
Reference 3
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.
Observation 10f3ca56-861e-4d9f-a669-54ca3f56fca4 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers For each k in {1
Reference 4
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.
Observation 8b87e6b1-a977-432a-88e2-8bfe01c182c3 · outbound
Reference 5
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.
Observation 9d1f2cc6-cd10-4cdf-b0fc-3ec80a705a54 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers (Algorithm 3)
Reference 7
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.
Observation e08226fd-4ad7-4e05-8ac3-409b27b0478a · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers It outputs a candidate set S which can all be the optimal prediction (Algorithm 4)
Reference 8
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.
Observation 8bd48d3b-c698-4e2a-9151-ffe5b2db7210 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Unresolved cited work
Reference 10
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.
Observation d5220d9e-df9e-41e6-b84c-e2d22f02bab0 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Let L : N × L →R be a hierarchical metric that satisfy Equations (3) and (4)
Reference 11
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.
Observation 7c38d2c4-35cd-4485-bc61-00338b530549 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers (Algorithm 3)
Reference 12
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.
Observation 2881c0e1-1539-4bb7-bc27-8751fdf3149c · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers It outputs a candidate set S which can all be the optimal prediction (Algorithm 7)
Reference 13
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.
Observation 515800f6-cce2-4de5-b785-d4b43ed8d8f3 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Let us now prove that |S| = O(dmax)
Reference 14
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.
Observation 586eeb2c-9e65-422a-895c-399ef2f624b0 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Unresolved cited work
Reference 15
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.
Observation 763a2d23-ce54-486d-aca8-288f15b7ed5a · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Unresolved cited work
Reference 16
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.
Observation f89af706-b4d3-49d2-b704-6d840934739e · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Unresolved cited work
Reference 17
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.
Observation 597c06ae-e732-47f9-872b-3901778622e7 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers This is performed through a tree traversal which visit exactly once each node
Reference 18
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.
Observation b6320cc4-fbdf-4458-810f-9a1dce74a19a · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Similarly, it is a tree traversal which has O(|N |) time complexity
Reference 19
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.
Observation c6657f78-5d1f-4b6e-82e1-802726cb8ca8 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers This is also performed through a tree traversal which visit at most each node one
Reference 20
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.
Observation ded0b215-e8ca-4ebc-adf5-277471394fec · outbound
Reference 1973
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94ef1a4c-851f-4e8f-9e74-cd0cb486cf72 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., and Houlsby, N
Reference 1999
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.
Observation 74eee71f-db00-4b3e-a6a0-4800ab89eb82 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers ISBN 158113391X
Reference 2001
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f05bd33-2cb5-40f4-826f-f9ed1daa6ec7 · outbound
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Meta-Learning for Semi-Supervised Few-Shot Classification
Reference 2017
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.