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Paper Citation Record · LEDGER

Computational Theories of Curiosity-Driven Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.10546.

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

pith.paper-citation-record.v1
1802.10546 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:58.680512Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:37:46.537054Z

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 a7314cd2-8206-4195-b025-8684418ea246 · inbound

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges cites this paper.

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Computational Theories of Curiosity-Driven Learning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:58.680512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:58.680512Z digest=sha256:813221a5770524c0924b9777bf5c1ca95d0577d6f91cb7a76104a914b3715611

Observation 2d76a449-f55e-45b6-9a25-4fe50f74881b · inbound

Reinforcement Learning via Implicit Imitation Guidance cites this paper.

Reinforcement Learning via Implicit Imitation Guidance Computational Theories of Curiosity-Driven Learning

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:37:46.541101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T05:37:46.356660Z digest=sha256:593773445ccd345a520116aec406369d7fbe9008026173ba06a9f69a4ab5c581