Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The In-Sample Softmax for Offline Reinforcement Learning
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.14372.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T00:47:51.583975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T14:25:45.860480Z
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 074a7bf1-b074-4330-849a-e8ed19515610 · inbound
Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning cites this paper.
Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning The In-Sample Softmax for Offline Reinforcement Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:25:45.862209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 473d9785-0df0-4c6f-ac35-0d70d13490c0 · inbound
SPAR: Support-Preserving Action Rectification cites this paper.
SPAR: Support-Preserving Action Rectification The In-Sample Softmax for Offline Reinforcement Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:43:30.993584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b1be10ef-3b39-4dce-bc1c-f7174ab9763f · inbound
Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning cites this paper.
Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning The In-Sample Softmax for Offline Reinforcement Learning
Reference 172
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T00:47:51.583975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.