Paper Citation Record · LEDGER

Exploration Behavior of Untrained Policies

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.22566.

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

pith.paper-citation-record.v1
2506.22566 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:29.525354Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

21 of 21 outbound references displayed

verified exact2
verified fuzzy13
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f742340-d001-4ecb-ad71-3213a896ec27 · outbound

This paper cites Lipbab: Computing exact lipschitz constant of relu networks.

Exploration Behavior of Untrained Policies Lipbab: Computing exact lipschitz constant of relu networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.943686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e3a4c18-c91a-436b-a530-2607ec7bbadc · outbound

This paper cites Radial basis functions.

Exploration Behavior of Untrained Policies Radial basis functions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.810908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c93c7a78-3e4a-4457-b0fe-9f056c9059e1 · outbound

This paper cites Exploration by Random Network Distillation.

Exploration Behavior of Untrained Policies Exploration by Random Network Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:27.481099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea7d39d-5684-45d1-a88a-db50d36e9520 · outbound

This paper cites Rainbow: Combining im- provements in deep reinforcement learning.

Exploration Behavior of Untrained Policies Rainbow: Combining im- provements in deep reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.593138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 921bc39c-40bb-4719-a0bf-387044182b2c · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Exploration Behavior of Untrained Policies Neural tangent kernel: Convergence and generalization in neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.248330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a01a4cc-b16d-411d-83f0-78a7da33c1a8 · outbound

This paper cites Exploration in deep reinforce- ment learning: A survey.

Exploration Behavior of Untrained Policies Exploration in deep reinforce- ment learning: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.009910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 648b2eca-f65a-4e42-aa9b-c8e86a180c32 · outbound

This paper cites Lipschitz constant estimation of Neural Networks via sparse polynomial optimization.

Exploration Behavior of Untrained Policies Lipschitz constant estimation of Neural Networks via sparse polynomial optimization

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:10:29.933889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a691914-3af9-435c-8dab-fd76864640ee · outbound

This paper cites Flipping coins to estimate pseudocounts for exploration in reinforcement learning.

Exploration Behavior of Untrained Policies Flipping coins to estimate pseudocounts for exploration in reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.740520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24c8ee25-e0a5-4cff-86a8-0d3e5110a3b3 · outbound

This paper cites Periodic activation functions induce stationar- ity.

Exploration Behavior of Untrained Policies Periodic activation functions induce stationar- ity

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.470042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a0542598-25d5-440f-9006-12808fac717e · outbound

This paper cites Human-level control through deep reinforcement learning.

Exploration Behavior of Untrained Policies Human-level control through deep reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:28.624563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3830a1c-008c-4c0e-ae77-39efec3bb782 · outbound

This paper cites Bayesian learning for neural networks , volume 118.

Exploration Behavior of Untrained Policies Bayesian learning for neural networks , volume 118

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:28.721081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff014368-7c2d-4e38-a154-f1cf0c515db3 · outbound

This paper cites The primacy bias in deep reinforcement learning.

Exploration Behavior of Untrained Policies The primacy bias in deep reinforcement learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.187261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 744ac8ad-46de-4499-bc53-31ac34d2eb37 · outbound

This paper cites Deep reinforcement learning with plasticity injection.

Exploration Behavior of Untrained Policies Deep reinforcement learning with plasticity injection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.923444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e483f8f7-c5b7-41e9-b252-789164ae8490 · outbound

This paper cites Deep exploration via bootstrapped dqn.

Exploration Behavior of Untrained Policies Deep exploration via bootstrapped dqn

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.670591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c452bac-3594-4190-bf34-11c4375a7721 · outbound

This paper cites Trust region policy optimization.

Exploration Behavior of Untrained Policies Trust region policy optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.438864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1cf297be-0c97-490d-ab4d-efcd470d9e22 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Exploration Behavior of Untrained Policies Proximal Policy Optimization Algorithms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:29.122205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419d81e5-aa47-4426-b564-2a250826ae5e · outbound

This paper cites On Bonus-Based Exploration Methods in the Arcade Learning Environment.

Exploration Behavior of Untrained Policies On Bonus-Based Exploration Methods in the Arcade Learning Environment

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:10:29.743035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22c9fc1d-d33a-44f0-a281-3d3b3fef7bf1 · outbound

This paper cites Lipschitz regularity of deep neural networks: analysis and efficient estimation.

Exploration Behavior of Untrained Policies Lipschitz regularity of deep neural networks: analysis and efficient estimation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:29.278455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec46387-79f1-45fe-b2f3-ce3a690111e0 · outbound

This paper cites Q-learning.

Exploration Behavior of Untrained Policies Q-learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.220688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c5b8af5f-2bc5-42f1-8abf-0e501571d7c2 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist rein- forcement learning.

Exploration Behavior of Untrained Policies Simple statistical gradient-following algorithms for connectionist rein- forcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.062294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fbe3f23d-dab5-49d1-b34c-e2efb76b71c6 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Exploration Behavior of Untrained Policies Neural Architecture Search with Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:29.525354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.