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Paper Citation Record · LEDGER

Counting to Explore and Generalize in Text-based Games

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.11525.

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

pith.paper-citation-record.v1
1806.11525 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:25.847852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:39:15.786332Z

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 f97e98fb-80e9-42a3-9a28-467a302245fd · inbound

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning cites this paper.

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning Counting to Explore and Generalize in Text-based Games

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:27:01.186900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T06:39:15.689726Z digest=sha256:d338a9609bcf928c97582b07015f23105939199e3a49887a83b87cd47e1b42d0

Observation 0bc3f910-a86a-46a8-bf47-3c1862fade7b · inbound

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Counting to Explore and Generalize in Text-based Games

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T04:57:25.847852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:57:25.847852Z digest=sha256:f236bda43a86d0b0d4bf9cd2b359e9e2d90ea1a356f5f88d477aa1141929c4bf