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Paper Citation Record · LEDGER

On the Complexity of Exploration in Goal-Driven Navigation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.06889.

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

pith.paper-citation-record.v1
1811.06889 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:33:25.821008Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:56:14.716623Z

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 522545b1-cf47-4602-acde-59ed12cf939a · inbound

A survey on intrinsic motivation in reinforcement learning cites this paper.

A survey on intrinsic motivation in reinforcement learning On the Complexity of Exploration in Goal-Driven Navigation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T12:33:25.821008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:33:25.821008Z digest=sha256:c6f7bb9e25e0eb6f1922db33e48c7020641cb68c925fb8710c6f1b0db91f3abe

Observation 58bd1a9e-66a9-457e-b7cf-37637dc4469f · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches On the Complexity of Exploration in Goal-Driven Navigation

Reference 148

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:14.721364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:56:12.548524Z digest=sha256:198ac244a0310791b4a591a9c5d3d00b70ce06fade7992fd01436366475bed76