Paper Citation Record · LEDGER

Language Understanding for Text-based Games Using Deep Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1506.08941.

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

pith.paper-citation-record.v1
1506.08941 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:58:41.821570Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:24:02.467557Z

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 d00a3955-d138-4fe7-8762-268021c700f0 · inbound

Learning Representations and Agents for Information Retrieval cites this paper.

Learning Representations and Agents for Information Retrieval Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T13:00:58.245711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a1a5fc-5355-40bb-9cb7-59103fff19c1 · inbound

Interactive Language Learning by Question Answering cites this paper.

Interactive Language Learning by Question Answering Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T10:35:35.280140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a743733-9a09-4c89-b606-835c2a32559d · inbound

LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games cites this paper.

LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T05:15:24.509598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e9fec2-1456-419a-b0a0-1342c990de1c · inbound

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters cites this paper.

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-14T05:05:38.349134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724d9902-8733-4cd3-9b5d-200ac32f8df3 · 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 Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:09.504494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7f4161-655c-40e7-b08d-3002ebb5e69c · inbound

Monte Carlo Planning with Large Language Model for Text-Based Game Agents cites this paper.

Monte Carlo Planning with Large Language Model for Text-Based Game Agents Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:58:41.821570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c7e422-c2ae-4624-8714-edd191db63da · inbound

Reinforcement Learning for Machine Learning Engineering Agents cites this paper.

Reinforcement Learning for Machine Learning Engineering Agents Language Understanding for Text-based Games Using Deep Reinforcement Learning

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:24:02.472444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.