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Paper Citation Record · LEDGER

Beating Atari with Natural Language Guided Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1704.05539.

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

pith.paper-citation-record.v1
1704.05539 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:09.209021Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

35
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c50d11f1-13a8-4bcc-8131-573e4ad2724f · inbound

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback Beating Atari with Natural Language Guided Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T16:30:09.209021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:30:09.209021Z digest=sha256:5b677681d2e41fa66f8736754ec03c4a7a9e0f58fe1c9ed95774b034983b9231

Observation b827f5e9-c929-4948-9ba3-f9ee44ee847f · inbound

Effective Reward Specification in Deep Reinforcement Learning cites this paper.

Effective Reward Specification in Deep Reinforcement Learning Beating Atari with Natural Language Guided Reinforcement Learning

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:54.526911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:09:54.526911Z digest=sha256:1bd064e0e210bd9f3aa4259cbd387281540e66ff88a516b77f02f7cb95f12c48

Observation 7c246f15-9ba5-432b-a79a-1f7859dd4e3b · inbound

From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning cites this paper.

From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Beating Atari with Natural Language Guided Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T17:32:14.343041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:32:14.343041Z digest=sha256:668471a2601cf642a65bdf6928d70b8107ef6e6c3980af84f11794f4e4553336

Observation 706e25b4-8d00-4eb8-8c42-606aefd8460d · inbound

Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation cites this paper.

Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation Beating Atari with Natural Language Guided Reinforcement Learning

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:11:53.160570Z

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=arxiv_source observed=2026-08-06T22:11:46.865385Z digest=sha256:8d2fc45df500619fde2b5fd0533f38ef4393104537929324bb7a9c2ca8de902d