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Paper Citation Record · LEDGER

MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.15339.

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

pith.paper-citation-record.v1
2312.15339 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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:47:31.302212Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-14T18:47:36.064131Z

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 159e13bc-7bad-4239-b2bf-3053bc869985 · inbound

DeGuV: Depth-Guided Visual Reinforcement Learning for Generalization and Interpretability in Manipulation cites this paper.

DeGuV: Depth-Guided Visual Reinforcement Learning for Generalization and Interpretability in Manipulation MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:31.302212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:31.302212Z digest=sha256:d8fbd60f2151ebdab3522413eb5f0d1208b89dfdc9903be8a2dfdcaa9895e356

Observation 9bf6942d-80c6-470b-b175-3bb8d61a5775 · inbound

Mask World Model: Predicting What Matters for Robust Robot Policy Learning cites this paper.

Mask World Model: Predicting What Matters for Robust Robot Policy Learning MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:06.433287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T02:14:17.676675Z digest=sha256:6a857476e499dfb82cd1b1113bbba9a09664ce96c171760e8d8c42c2417b4baf

Observation 742dc824-6250-4f9e-ab3d-32af42e201f4 · inbound

What to Ignore, What to React: Visually Robust RL Fine-Tuning of VLA Models cites this paper.

What to Ignore, What to React: Visually Robust RL Fine-Tuning of VLA Models MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:47:36.068089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T18:46:34.102687Z digest=sha256:af53387d3fbbb02839de48203e9e3fe8593bd31e66f9f37ecf32d753980bcb1b