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Paper Citation Record · LEDGER

Dungeons and Data: A Large-Scale NetHack Dataset

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.00539.

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

pith.paper-citation-record.v1
2211.00539 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:12:54.453886Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:15:04.099650Z

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 d86300e4-d2db-4d39-b919-caab6f3d6737 · inbound

ASH: Agents that Self-Hone via Embodied Learning cites this paper.

ASH: Agents that Self-Hone via Embodied Learning Dungeons and Data: A Large-Scale NetHack Dataset

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:53:33.504885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:51:53.328977Z digest=sha256:0fc6f8317d03999e9bb72d8d7291653cb1d31e3f2693b5801df3cd3d54167ca0

Observation a80dcb0b-2bbe-40da-896e-db760ee59261 · inbound

ASH: Agents that Self-Hone via Embodied Learning cites this paper.

ASH: Agents that Self-Hone via Embodied Learning Dungeons and Data: A Large-Scale NetHack Dataset

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.101227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T21:12:54.453886Z digest=sha256:2e45c1c35aa8f738992940ae116fe367add8d21de74d4e62ad54bfbb9e160ef5