Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:17:47.016873Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 3 inbound Pith citation observations for arXiv:1908.01417.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:17:47.016873Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:40:23.198187Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:31:25.635631Z
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation dfb9c980-d79c-486a-9be9-2023934d8b3b · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning the single most important activity a designer engages in
Reference 1
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Observation 9c3de45e-06e7-4415-97c2-affc18df6ba2 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation 2fa5af17-d37b-4d19-8a7f-3574809d2b30 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 3
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Observation 9dec06c2-5998-4a0e-a9ca-305f233c6397 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Automatic Playtesting for Game Parameter Tuning via Active Learning
Reference 4
Source-reported events for the cited work
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Observation ea818eba-f51e-4e87-8ff6-6934faebeb63 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning playability,
Reference 5
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Automatic Playtesting for Game Parameter Tuning via Active Learning For enemy parameter tuning (a regression problem) we found acquisition functions that balance exploration and ex- ploitation (especially UCB) have the best performance
Reference 6
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Automatic Playtesting for Game Parameter Tuning via Active Learning AL Figure 5: Classification performance improvement over random sampling with different combinations of classifiers and acquisition functions
Reference 7
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Automatic Playtesting for Game Parameter Tuning via Active Learning Active learning provides a generic set of techniques to per- form the playtesting process of choosing a set of design pa- rameters to test toward achieving a design goal
Reference 8
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Automatic Playtesting for Game Parameter Tuning via Active Learning fric- tion
Reference 9
Source-reported events for the cited work
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Observation ac74da97-1d50-4792-b7c1-e1fab952c583 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning neuro-evolution
Reference 10
Source-reported events for the cited work
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Observation 40f63af9-0e1c-4a6f-a517-71b41b7fbed1 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 11
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Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 12
Source-reported events for the cited work
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Automatic Playtesting for Game Parameter Tuning via Active Learning 1For computational reasons we use a gradient-based opti- mization method for network structure, size, and weights, rather than the more common neuro-evolutionary ap- proaches
Reference 13
Source-reported events for the cited work
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Observation d98554a2-d7a0-47e9-bd2a-b8d2dac48e3b · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 14
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Automatic Playtesting for Game Parameter Tuning via Active Learning Rafferty et al
Reference 15
Source-reported events for the cited work
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Observation dd91cc62-c9f4-439c-bed2-50611adacd40 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning We used a maximum of 300 training samples in both regres- sion and classification
Reference 16
Source-reported events for the cited work
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Observation 4d6d48e3-bb44-4e4d-90e4-966c3ccc61f7 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation 823ea62f-c996-4ee2-830f-e4521a11e5e4 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Abe and H
Reference 18
Source-reported events for the cited work
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Observation e215c1d6-372f-4500-ba8e-3a39331b80bf · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 2f6e13e1-3914-434b-ae1c-d3d27bf0ac9e · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning player types
Reference 20
Source-reported events for the cited work
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Observation 9c192336-4e56-4d22-a7eb-8e199b9cecc2 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 21
Source-reported events for the cited work
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Automatic Playtesting for Game Parameter Tuning via Active Learning Butler, A
Reference 22
Source-reported events for the cited work
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Observation 83661bbd-d4ad-4ef1-a557-0fa8014c7566 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Chaloner and I
Reference 23
Source-reported events for the cited work
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Observation 155a1d7e-bab9-4856-9a57-8ffaedc44449 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 24
Source-reported events for the cited work
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Observation 163941e2-8c36-460d-af0c-e252596e5585 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Fullerton, C
Reference 25
Source-reported events for the cited work
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Observation de55071e-df51-4a57-b972-c3f1a86884d3 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Harrison and D
Reference 26
Source-reported events for the cited work
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Observation 21de23bd-8506-4894-8658-43b3a64f3d5a · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Hastings, R
Reference 27
Source-reported events for the cited work
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Observation 5be13b01-c31d-4eb3-9bbb-2dc24351c8cb · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Horswill and L
Reference 28
Source-reported events for the cited work
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Observation 6b80e847-bbb4-41f7-bba5-3dd6dae420f6 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Hunicke and V
Reference 29
Source-reported events for the cited work
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Observation 3d43b9b8-7af2-47d9-940d-7b85e42c63f3 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation b22d5eda-c025-4eee-a4a9-7cb14673461b · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Liapis, H
Reference 31
Source-reported events for the cited work
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Observation 6963f425-f097-48d7-a9fe-3748789f7158 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Magerko, B
Reference 32
Source-reported events for the cited work
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Observation 6a4e51bf-4878-4500-ab37-9dd744e24c33 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Normoyle, J
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 34
Source-reported events for the cited work
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Automatic Playtesting for Game Parameter Tuning via Active Learning Seif El-Nasr
Reference 35
Source-reported events for the cited work
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Observation 407557c2-e53e-419d-b6a7-70be835ef859 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 36
Source-reported events for the cited work
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Automatic Playtesting for Game Parameter Tuning via Active Learning Shaker, N
Reference 37
Source-reported events for the cited work
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Observation 6ff023a5-7817-47df-b381-26f792abfe64 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Shaker, G
Reference 38
Source-reported events for the cited work
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Observation c39cc3e1-7e1d-4049-8e4d-4e9890fcf656 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 39
Source-reported events for the cited work
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Observation 7cf25a43-596d-4ce2-9ea9-8b43d27e66aa · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Srinivas, A
Reference 40
Source-reported events for the cited work
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Observation d076f019-1c9e-4ffb-b4ef-f2ee9ade0bfa · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Unresolved cited work
Reference 41
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Observation 6bc636df-6192-4845-8726-eaa1e80dba9f · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Yannakakis and J
Reference 42
Source-reported events for the cited work
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Observation 7ef0286d-1288-4b56-8903-2b7679151b77 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Yu and M
Reference 43
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Observation 33a6c366-7e0d-4c38-80c8-8083264b71df · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Yu and T
Reference 44
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Observation 85461595-4904-4588-af68-7005382be998 · outbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Zook and M
Reference 45
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Observation 9dec06c2-5998-4a0e-a9ca-305f233c6397 · inbound
Automatic Playtesting for Game Parameter Tuning via Active Learning Automatic Playtesting for Game Parameter Tuning via Active Learning
Reference 4
Source-reported events for the cited work
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NTRL: Encounter Generation via Reinforcement Learning for Dynamic Difficulty Adjustment in Dungeons and Dragons Automatic Playtesting for Game Parameter Tuning via Active Learning
Reference 9
Source-reported events for the cited work
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Mazocarta: A Seeded Procedural Deckbuilder for Instrumented Game Development Automatic Playtesting for Game Parameter Tuning via Active Learning
Reference 7
Source-reported events for the cited work
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