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Paper Citation Record · LEDGER

Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02511.

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

pith.paper-citation-record.v1
2410.02511 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 2026-08-04T19:17:00.618338Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 fe1d39d1-e8b3-4d63-a403-613df6ddc5ea · inbound

Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning cites this paper.

Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T19:17:00.618338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:17:00.618338Z digest=sha256:188c749be5025623c70b55a2c6acab42bbbaf482d07f5a1bfb1a9c58e6b1e900

Observation f538087f-e9d4-4ac8-b601-f9f35ea31906 · inbound

Prompting Robot Teams with Natural Language cites this paper.

Prompting Robot Teams with Natural Language Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T13:52:23.440920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:52:23.440920Z digest=sha256:b61aa56bc815726cc373e16f55f1612fff085a2705fed522462a5d95119eceae