Paper Citation Record · LEDGER

Explore Beyond the Boundary Using Entropic Information

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.29419.

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

pith.paper-citation-record.v1
2607.29419 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:26:47.642025Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy19
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92070f9e-07d2-4a98-b0b3-f21da02ebed6 · outbound

This paper cites Advances in neural in- formation processing systems29(2016).

Explore Beyond the Boundary Using Entropic Information Advances in neural in- formation processing systems29(2016)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.126035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f26f0910-071a-4554-8fb5-d719046372bd · outbound

This paper cites OpenAI Gym.

Explore Beyond the Boundary Using Entropic Information OpenAI Gym

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.500405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd2a8863-22ea-4d22-abd6-360d0d5edd68 · outbound

This paper cites Exploration by Random Network Distillation.

Explore Beyond the Boundary Using Entropic Information Exploration by Random Network Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.505643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2a6709-e685-4509-813b-1ccb808fbf1f · outbound

This paper cites Au- tonomous Robots42(2), 235–256 (2018).

Explore Beyond the Boundary Using Entropic Information Au- tonomous Robots42(2), 235–256 (2018)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.109544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51b03013-eada-479d-bf8c-01258f572d1e · outbound

This paper cites an unresolved cited work.

Explore Beyond the Boundary Using Entropic Information Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:26:48.094424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85454b2a-097a-4d8a-a07d-c60ce4bb06f2 · outbound

This paper cites Machine learning8(3), 279–292 (1992).

Explore Beyond the Boundary Using Entropic Information Machine learning8(3), 279–292 (1992)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.079828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97d79e0e-a9f6-4560-b249-2ebf32cdf504 · outbound

This paper cites In: International conference on machine learning.

Explore Beyond the Boundary Using Entropic Information In: International conference on machine learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.064272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 843efb16-f9be-4756-aa45-4b252e7d1bb5 · outbound

This paper cites In: International Conference on Machine Learning.

Explore Beyond the Boundary Using Entropic Information In: International Conference on Machine Learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.049888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76517cf2-baac-42ca-883b-fc522e754dbc · outbound

This paper cites In: International conference on machine learning.

Explore Beyond the Boundary Using Entropic Information In: International conference on machine learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.533619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e7c567-32c4-40bc-9f95-71165cc31d93 · outbound

This paper cites PMLR (2022).

Explore Beyond the Boundary Using Entropic Information PMLR (2022)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.025848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d81b25e6-86d8-4650-85df-07cc29a39174 · outbound

This paper cites Ad- vances in Neural Information Processing Systems34, 25732–25745 (2021).

Explore Beyond the Boundary Using Entropic Information Ad- vances in Neural Information Processing Systems34, 25732–25745 (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:48.011541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0bc4bc3-7599-4b6f-ae97-72c433189e4c · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

Explore Beyond the Boundary Using Entropic Information Temporal Difference Learning for Model Predictive Control

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.546867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f468f125-80c0-4f5e-a416-681f6cc2a98b · outbound

This paper cites Advances in neural information processing systems31(2018).

Explore Beyond the Boundary Using Entropic Information Advances in neural information processing systems31(2018)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.996533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 215c485d-4a45-4694-8e8f-7afe8e167c63 · outbound

This paper cites In: 2019 international conference on robotics and automation (ICRA).

Explore Beyond the Boundary Using Entropic Information In: 2019 international conference on robotics and automation (ICRA)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.982258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c78cd28f-3744-4e41-8baf-9922a37831b4 · outbound

This paper cites In: 2009 ieee conference on computer vision and pattern recognition.

Explore Beyond the Boundary Using Entropic Information In: 2009 ieee conference on computer vision and pattern recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.966547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba9b863d-74d2-4642-bfe2-3e655bbd2d48 · outbound

This paper cites Artificial Intelligence316, 103829 (2023) 12 B.

Explore Beyond the Boundary Using Entropic Information Artificial Intelligence316, 103829 (2023) 12 B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.949981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e38cbb1-f7fb-4de1-974b-b073a5f83fa1 · outbound

This paper cites In: Proceed- ings of the 26th annual international conference on machine learning.

Explore Beyond the Boundary Using Entropic Information In: Proceed- ings of the 26th annual international conference on machine learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.935632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65dcbaf1-d290-423f-9c61-e56995e52495 · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica3(3), 247–254 (2016).

Explore Beyond the Boundary Using Entropic Information IEEE/CAA Journal of Automatica Sinica3(3), 247–254 (2016)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.920951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b56c4ae-378a-4117-b69a-94a9ea5ab9f2 · outbound

This paper cites In: Distributed Ar- tificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings 2.

Explore Beyond the Boundary Using Entropic Information In: Distributed Ar- tificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings 2

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.906000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d09d7f4-e247-496a-863c-6277bc9d43d0 · outbound

This paper cites Continuous control with deep reinforcement learning.

Explore Beyond the Boundary Using Entropic Information Continuous control with deep reinforcement learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.583330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7accaa87-5d13-422b-814f-2db824f56dd2 · outbound

This paper cites In: Conference on Robot Learning.

Explore Beyond the Boundary Using Entropic Information In: Conference on Robot Learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.891327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ffabef0-7059-496c-88d4-c7bf5fb7ed37 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Explore Beyond the Boundary Using Entropic Information Playing Atari with Deep Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.593223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e37a9d6-6220-4ffa-a4d8-2955cd58a0a8 · outbound

This paper cites Advances in neural information processing sys- tems35, 27730–27744 (2022).

Explore Beyond the Boundary Using Entropic Information Advances in neural information processing sys- tems35, 27730–27744 (2022)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.598264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78e81c03-1806-4dc2-965b-6678bebf4ca7 · outbound

This paper cites In: International conference on machine learning.

Explore Beyond the Boundary Using Entropic Information In: International conference on machine learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.603139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d16aa1c0-83ea-43ba-a7f5-a9a5a31b01e4 · outbound

This paper cites RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments.

Explore Beyond the Boundary Using Entropic Information RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.608049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9fe137-f0ef-4928-b6d3-d60029415238 · outbound

This paper cites Learning to select data for transfer learning with Bayesian Optimization.

Explore Beyond the Boundary Using Entropic Information Learning to select data for transfer learning with Bayesian Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.613192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8699f010-202a-4695-8aec-6036b5a893fb · outbound

This paper cites In: International Conference on Machine Learning.

Explore Beyond the Boundary Using Entropic Information In: International Conference on Machine Learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.857657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad80167e-cf3b-46a6-81f6-4e5442052a82 · outbound

This paper cites Advances in neural information processing systems 30(2017).

Explore Beyond the Boundary Using Entropic Information Advances in neural information processing systems 30(2017)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.842461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1376cc3-1d21-4cf1-af43-cac31948d936 · outbound

This paper cites In: 2012 IEEE/RSJ international conference on intelligent robots and systems.

Explore Beyond the Boundary Using Entropic Information In: 2012 IEEE/RSJ international conference on intelligent robots and systems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.628237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101761ad-f12f-4ab0-8a95-6acaec3bec89 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Explore Beyond the Boundary Using Entropic Information In: Proceedings of the AAAI conference on artificial intelligence

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.817816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04394cec-c92d-4064-ac4b-0cea4c16a012 · outbound

This paper cites BeBold: Exploration Beyond the Boundary of Explored Regions.

Explore Beyond the Boundary Using Entropic Information BeBold: Exploration Beyond the Boundary of Explored Regions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:47.637478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2cb087-eb0d-4de3-9492-1a3ac0b4524d · outbound

This paper cites Advances in Neural Information Processing Systems34, 25217–25230 (2021).

Explore Beyond the Boundary Using Entropic Information Advances in Neural Information Processing Systems34, 25217–25230 (2021)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:47.802933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.