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Paper Citation Record · LEDGER

Generalizable Visual Reinforcement Learning with Segment Anything Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.17116.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.17116 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T16:04:01.846763Z

measured 0 of 1 external citation measurements

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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T02:53:39.060764Z digest=sha256:b9f382574fa74fe56ff3deeeae76fc8e0e6e412e829603a19c34da0409c8712a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:85a18a0a5f6f86f1d112df31ab6058392f4d42f588884d683d0ff0ba72da523e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T16:04:01.846763Z digest=sha256:623e81292b3108c47f5dc67fad63df992b5b864fe8b889f0556d43fbdb8ac5f4