Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalizable Visual Reinforcement Learning with Segment Anything Model
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.17116.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:29:32.050109Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:07:08.245059Z
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 bc6f1f18-a822-4c37-9fb2-dfb8ef8a9fe7 · inbound
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning cites this paper.
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Generalizable Visual Reinforcement Learning with Segment Anything Model
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:28:45.037385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f364fad4-84a3-42a0-8220-6c62e26ba015 · inbound
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation cites this paper.
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Generalizable Visual Reinforcement Learning with Segment Anything Model
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:29:32.050109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c2434c2-58cb-470c-8ea1-031a2a5bb0ff · inbound
Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.
Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Generalizable Visual Reinforcement Learning with Segment Anything Model
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:21:47.296099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e9293812-fa2f-4029-b0cf-6a7886a952df · inbound
Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.
Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Generalizable Visual Reinforcement Learning with Segment Anything Model
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:50:49.849509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9e3d29be-8f16-48fd-be65-52b057313054 · inbound
Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization cites this paper.
Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization Generalizable Visual Reinforcement Learning with Segment Anything Model
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:07:08.246830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.