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Paper Citation Record · LEDGER

Provably Efficient Maximum Entropy Exploration

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1812.02690.

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

pith.paper-citation-record.v1
1812.02690 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:09:54.236710Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

96
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48929738-9a06-4af6-a64d-7463dd7a67ff · inbound

Effective Reward Specification in Deep Reinforcement Learning cites this paper.

Effective Reward Specification in Deep Reinforcement Learning Provably Efficient Maximum Entropy Exploration

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:54.236710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:09:54.236710Z digest=sha256:8f7030cd34c9707cab4a9ad591c2bd5458d310e280191c12957ed16a1bd4abc8

Observation 3ac1065c-580b-4971-b349-89499b3a13c7 · inbound

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following cites this paper.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Provably Efficient Maximum Entropy Exploration

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.282303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.282303Z digest=sha256:5e8919e4da3d6631d48fe45dbf1ed172a2eca8ab2dafdb95c5181b130e2f5fbd

Observation be508c46-43de-44ef-ad57-19332c637362 · inbound

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs cites this paper.

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs Provably Efficient Maximum Entropy Exploration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:25.984106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:25.984106Z digest=sha256:863825332016511aabb02fe2f8a78e9b8e63664e67dc59c724a0643f56508759

Observation 4a29a3f0-32b5-45f4-bd0a-6df93d5317d1 · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining Provably Efficient Maximum Entropy Exploration

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-08-01T03:08:37.718299Z

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=arxiv_source observed=2026-08-01T03:02:00.242174Z digest=sha256:375948382ee4e60d365d8571e121181c9a6dbf9709b67dbff9abbb82a6375749