Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T23:52:27.256334Z
Paper Citation Record · LEDGER
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies
As of 21 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2605.04254.
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 2026-08-21T06:32:19.484+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
Reference resolution
8 of 8 outbound references displayed
- verified exact2
- verified fuzzy6
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2ce8b528-ea7d-4b25-92de-531c4823afd8 · outbound
This paper cites & Guestrin, C.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies & Guestrin, C
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T09:53:37.103561Z
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.
Observation edc397f5-00b3-43c4-ac3e-68686138ccde · outbound
This paper cites & Now ´e, A.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies & Now ´e, A
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:12.766696Z
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.
Observation a82ee123-07a0-4d40-80be-8ab7dfedb471 · outbound
This paper cites & Preux, P.
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T09:53:37.105570Z
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.
Observation eb99c140-1f7f-4f09-b48f-bede5c1f5ac2 · outbound
This paper cites & Magazzeni, D.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies & Magazzeni, D
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T09:53:37.107394Z
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.
Observation c9e3a955-b718-4fd4-ad38-a98231b7ba8f · outbound
This paper cites & Puerto, J.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies & Puerto, J
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T09:53:37.099181Z
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.
Observation 1307266a-a8cf-4f12-856c-0515a674b43b · outbound
This paper cites & Zhokhov, P.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies & Zhokhov, P
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T09:53:37.097301Z
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.
Observation 699d5b5c-ba3c-430b-8191-f03b2ccd4de6 · outbound
This paper cites & Solar-Lezama, A.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies & Solar-Lezama, A
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T09:53:37.101476Z
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.
Observation 3b26cb01-2f32-48c7-ad34-56c21ffb75e6 · outbound
This paper cites Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:12.769802Z
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.
Pith citing papers
No inbound Pith citation observations are available.