Paper Citation Record · LEDGER

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning

As of 24 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.13741.

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

pith.paper-citation-record.v1
2506.13741 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:33:04.401624Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

38 of 38 outbound references displayed

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verified fuzzy25
unresolved11
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External citation measurements

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Outbound references

Observation 0d3ca3b8-39bc-4df9-9bda-4faae0bb9f96 · outbound

This paper cites Forecasting with Multiple Seasonality.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Forecasting with Multiple Seasonality

Reference 1

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Observation 0ff5fe61-f701-4d0e-98cf-f78aa95601dc · outbound

This paper cites Batch active preference-based learning of reward functions.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Batch active preference-based learning of reward functions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.769359Z

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Observation 3ca188d0-d1aa-4191-bee9-ae299a861ddf · outbound

This paper cites Landolfi, Dylan P.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Landolfi, Dylan P

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.761093Z

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Observation 16f14e3a-6d11-45d0-a1a3-9dbcc885d1ff · outbound

This paper cites Rank analysis of incomplete block designs: I.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Rank analysis of incomplete block designs: I

Reference 4

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Observation bb8ca152-c1ee-466f-8552-22153d40bb14 · outbound

This paper cites Christiano, Jan Leike, Tom B.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Christiano, Jan Leike, Tom B

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.747117Z

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Observation 75ee63ad-1625-4f68-87ca-0306261e0258 · outbound

This paper cites Autonomous skill discovery with quality-diversity and unsupervised descriptors.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Autonomous skill discovery with quality-diversity and unsupervised descriptors

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.738394Z

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Observation ee5644ab-4798-4701-ab72-26e93eb93764 · outbound

This paper cites Faster Improvement Rate Population Based Training.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Faster Improvement Rate Population Based Training

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:33:04.530615Z

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Observation 98854a81-2221-4aef-b8d9-d1f072050231 · outbound

This paper cites Diversity is all you need: Learning skills without a reward function.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Diversity is all you need: Learning skills without a reward function

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.730037Z

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Observation 8b8647fa-d609-449b-9991-3b6ff6253b6e · outbound

This paper cites Jax-lob: A gpu-accelerated limit order book simulator to unlock large scale reinforcement learning for trading.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Jax-lob: A gpu-accelerated limit order book simulator to unlock large scale reinforcement learning for trading

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.721729Z

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Observation 7018460c-2e08-436c-9e75-6936fccb3a54 · outbound

This paper cites u rnkranz, Eyke H \.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning u rnkranz, Eyke H \

Reference 10

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Observation 845db6e5-ee25-43ac-98cb-4ebbacc3c51d · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Soft Actor-Critic Algorithms and Applications

Reference 11

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Observation 20f8516b-548f-49ce-b3b0-246b310d433a · outbound

This paper cites Russell, and Anca D.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Russell, and Anca D

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.707679Z

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Observation 2dc743d1-2a3b-46ca-9edf-4d6bdf6d34c9 · outbound

This paper cites Query-policy misalignment in preference-based reinforcement learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Query-policy misalignment in preference-based reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.698293Z

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Observation b34a91bc-ede1-4ca6-9fce-25bd053e69b7 · outbound

This paper cites TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations

Reference 14

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Source-reported events for the cited work

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Observation fc53ef44-60ad-4df3-ad40-b688b6a136cd · outbound

This paper cites Population Based Training of Neural Networks.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Population Based Training of Neural Networks

Reference 15

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Observation 4a483ab6-d007-40f8-8f9b-c6b3a0bf95af · outbound

This paper cites One solution is not all you need: Few-shot extrapolation via structured maxent rl.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning One solution is not all you need: Few-shot extrapolation via structured maxent rl

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.689812Z

Source-reported events for the cited work

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Observation b0a333ab-5437-4079-b7de-e88058b5fd29 · outbound

This paper cites B-pref: Benchmarking preference-based reinforcement learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning B-pref: Benchmarking preference-based reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.682059Z

Source-reported events for the cited work

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Observation dea18995-5bd0-4844-b2e9-15ef7185ed2b · outbound

This paper cites Smith, and Pieter Abbeel.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Smith, and Pieter Abbeel

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.674287Z

Source-reported events for the cited work

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Observation 22081c72-68ed-4432-befd-c43cfb4912b9 · outbound

This paper cites Evolution through the search for novelty.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Evolution through the search for novelty

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.666897Z

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Observation 7394ec4d-2201-40c3-adc0-e427cf205823 · outbound

This paper cites Evolving a diversity of virtual creatures through novelty search and local competition.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Evolving a diversity of virtual creatures through novelty search and local competition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.659279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f765897-1cd7-4aa4-b3e0-3abdf2ead841 · outbound

This paper cites Reward uncertainty for exploration in preference-based reinforcement learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Reward uncertainty for exploration in preference-based reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.651000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7e0be92-746a-4f3c-b441-eb77449568ab · outbound

This paper cites Meta-reward-net: Implicitly differentiable reward learning for preference-based reinforcement learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Meta-reward-net: Implicitly differentiable reward learning for preference-based reinforcement learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.643003Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b9e4ef6-97bd-43a6-9945-99b25d8274ca · outbound

This paper cites Efficient preference-based reinforcement learning using learned dynamics models.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Efficient preference-based reinforcement learning using learned dynamics models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.634836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6856a5f5-707d-44d1-863e-9b9c6e4b3f86 · outbound

This paper cites Variquery: Vae segment-based active learning for query selection in preference-based reinforcement learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Variquery: Vae segment-based active learning for query selection in preference-based reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.626755Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e0af0b1-3115-40a0-80bb-045cb1e8d4b5 · outbound

This paper cites Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning

Reference 25

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Observation 10ecdd6d-fdf7-4749-a094-8816e6e2010b · outbound

This paper cites Illuminating search spaces by mapping elites.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Illuminating search spaces by mapping elites

Reference 26

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Observation cf25001d-17db-4534-a18f-7a5581b6f219 · outbound

This paper cites Xland-minigrid: Scalable meta-reinforcement learning environments in jax.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Xland-minigrid: Scalable meta-reinforcement learning environments in jax

Reference 27

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Observation 6f73c65c-9e1d-49c8-be74-979b7d1236bb · outbound

This paper cites Policy gradient assisted MAP-Elites.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Policy gradient assisted MAP-Elites

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.608896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a166f64c-c237-412e-972a-f1dbb3340dce · outbound

This paper cites Discovering diverse solutions in deep reinforcement learning by maximizing state--action-based mutual information.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Discovering diverse solutions in deep reinforcement learning by maximizing state--action-based mutual information

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.600764Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0ed7339-82d8-44be-a7b7-a506a191fd40 · outbound

This paper cites SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

Reference 30

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Observation 47273825-0496-4a5f-87f8-5a271a79c99c · outbound

This paper cites Effective diversity in population based reinforcement learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Effective diversity in population based reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.592571Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d3691d9-59db-49ee-868b-4f9f7203e226 · outbound

This paper cites Jaxmarl: Multi-agent rl environments in jax.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Jaxmarl: Multi-agent rl environments in jax

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.583969Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cba07e3f-6afc-47cc-8173-ad5d6961a15d · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 33

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Observation e602c915-ec49-4297-8476-52b38f3e57eb · outbound

This paper cites Dynamics-aware unsupervised discovery of skills.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Dynamics-aware unsupervised discovery of skills

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.575052Z

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Observation 100cb00e-0586-444b-b90d-34a2793461b6 · outbound

This paper cites Reinforcement learning: An introduction, volume 1.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Reinforcement learning: An introduction, volume 1

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:33:04.163238Z

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Observation 8ea88ba8-32ca-403b-9456-f0b60699cb2d · outbound

This paper cites DeepMind Control Suite.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning DeepMind Control Suite

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:33:04.252878Z

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Observation c6be78c0-e1dc-45bd-92cf-e897ea2f2946 · outbound

This paper cites Ball, Vu Nguyen, Binxin Ru, and Michael A.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning Ball, Vu Nguyen, Binxin Ru, and Michael A

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.560627Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1591528d-92f0-4345-a103-0f26b8bbe050 · outbound

This paper cites A survey of preference-based reinforcement learning methods.

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning A survey of preference-based reinforcement learning methods

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:04.552166Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

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