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Paper Citation Record · LEDGER

Visualizing and Understanding Atari Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.00138.

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

pith.paper-citation-record.v1
1711.00138 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:58:34.346505Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T21:04:41.739880Z

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 007527f5-3e51-4ac3-83c2-c2b8864d326f · inbound

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning cites this paper.

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning Visualizing and Understanding Atari Agents

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:02:35.730533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T21:04:41.685457Z digest=sha256:95f70d91bd9c3b4a0cd75f5e5da5a21c3567297004a07a295a3a414e30e234a9

Observation 47a099b8-85ce-4690-a3dc-dfffeb589353 · inbound

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Visualizing and Understanding Atari Agents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T17:58:34.346505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:58:34.346505Z digest=sha256:cc37a6ccc0178ed483d44b23fe3f68677d266d3afde8ce2752a0e988dba4997e