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Paper Citation Record · LEDGER

Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.01628.

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

pith.paper-citation-record.v1
1812.01628 v2

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 2026-08-10T01:09:03.076869Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T01:09:03.293328Z

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 eb44d2eb-364c-455e-a4b1-ad6895aafccd · inbound

Large Language Models Think Too Fast To Explore Effectively cites this paper.

Large Language Models Think Too Fast To Explore Effectively Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T01:09:03.296744Z

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=2026-08-10T01:09:03.076869Z digest=sha256:87b198d87260454f96bc9504a4dd5eb572c4aecc507e7de7b4ce7388e0c90a76

Observation ea2e92d6-47b2-43aa-b4e0-4601d4138e62 · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

Reference 168

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:35.184033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:35.184033Z digest=sha256:e3112324e65032ae0dd796609d1f408784b41de7bf446a42ebabe47b2230cc49