Paper Citation Record · LEDGER

Noisy Networks for Exploration

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1706.10295.

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

pith.paper-citation-record.v1
1706.10295 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:44.411449Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

390
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 914d3093-6234-4e4c-b78a-0566913047d4 · inbound

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning cites this paper.

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Noisy Networks for Exploration

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T19:31:10.167230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f9994cc-62c2-4fa8-9c99-2e8712e41e0b · inbound

Evolvability ES: Scalable and Direct Optimization of Evolvability cites this paper.

Evolvability ES: Scalable and Direct Optimization of Evolvability Noisy Networks for Exploration

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T21:56:24.013101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 512c2b12-42e5-42aa-8cd9-c1371f30d6cd · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models Noisy Networks for Exploration

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:27:31.915823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c782612-e9c2-4935-8399-85d73ef4f1c9 · inbound

HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning cites this paper.

HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning Noisy Networks for Exploration

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:44.411449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6cba064-77a8-4a4a-99b6-397cee635de2 · inbound

Hadamax Encoding: Elevating Performance in Model-Free Atari cites this paper.

Hadamax Encoding: Elevating Performance in Model-Free Atari Noisy Networks for Exploration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:15.986291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0eaa98-384a-4d3c-aa53-1b2929cf5809 · inbound

Skillful joint probabilistic weather forecasting from marginals cites this paper.

Skillful joint probabilistic weather forecasting from marginals Noisy Networks for Exploration

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:27.469040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da0d07e9-62a7-43c6-8d8d-cbae40b1b60c · inbound

Meta-learning how to Share Credit among Macro-Actions cites this paper.

Meta-learning how to Share Credit among Macro-Actions Noisy Networks for Exploration

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:33:24.952368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167edfe9-fac4-4a4f-b498-65f0a8f39f56 · inbound

Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams cites this paper.

Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams Noisy Networks for Exploration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:56:58.303846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23895565-0168-4277-9fd2-a917f64ddf2e · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Noisy Networks for Exploration

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:46.738150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb7d5f6-07cb-48ba-9416-48da9ad0294e · inbound

Quantum Reinforcement Learning by Adaptive Non-local Observables cites this paper.

Quantum Reinforcement Learning by Adaptive Non-local Observables Noisy Networks for Exploration

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:16:40.345674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45724b68-4f91-4a59-810f-a89d8ddfb0df · inbound

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning cites this paper.

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning Noisy Networks for Exploration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T14:23:57.166990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d31ce17f-ef44-4cc3-bf5f-f854154fa348 · inbound

Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production cites this paper.

Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production Noisy Networks for Exploration

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:50:30.101445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4b05b95-8161-4990-b82f-c979ad9278e4 · inbound

Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion cites this paper.

Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion Noisy Networks for Exploration

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:22.967392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64801931-7d82-44b1-bd69-435cedcb3e3f · inbound

Experience-Driven Dynamic Exits for LLMs with Reinforcement Learning cites this paper.

Experience-Driven Dynamic Exits for LLMs with Reinforcement Learning Noisy Networks for Exploration

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:30.320474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e34cf7ee-603d-421c-9297-b979310a4181 · inbound

Prompt-Driven Exploration cites this paper.

Prompt-Driven Exploration Noisy Networks for Exploration

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T06:21:42.026251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9adc844-f472-4bab-b156-990cdf41d57a · inbound

A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing cites this paper.

A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing Noisy Networks for Exploration

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-01T21:12:14.424294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c431493-d693-40e3-9e3b-25e48f07fc02 · inbound

When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design cites this paper.

When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design Noisy Networks for Exploration

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-30T21:35:15.711196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.