Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:16:00.479731Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.10253.
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 2026-08-11T16:16:00.479731Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
25 of 25 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 61764983-5eba-4d69-8e12-1eda9c0d9bbc · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e19693f-a4ac-4b49-9209-85efea040a81 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Representation Learning: A Review and New Perspectives
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 482cb4f3-a06e-4123-aaa4-3647c60b5175 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8a5e864-8e83-4ab3-abec-70271d28afc0 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 926091b8-4992-4d0a-bfb6-ed5bf5f19d60 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7957690-34a8-433f-9a0f-b23beec5926e · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64b2426d-9868-468a-a622-0e5b253f2909 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0096c8f4-3c73-4287-91b1-2f5d9de2a65d · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 115b5d50-2249-472b-b638-bb550957402a · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Ioannidis and Younkyung Cha Kang
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a925d69a-ef9b-4755-a10f-1aadf9553fa1 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Learning to Optimize Join Queries With Deep Reinforcement Learning
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32360220-a1cb-43ae-b05a-85e6546dea7f · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb05a22f-68df-451b-8422-fc1115bb1230 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a319cd8c-a119-41f8-9cc0-302e902a8349 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Distributed Representations of Words and Phrases and their Compositionality
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 470a9fe9-eb2a-410d-8b65-baa7c9d84810 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Playing Atari with Deep Reinforcement Learning
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4c4f877-eed4-4d44-8e7c-d082898831fa · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Larriba-Pey
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e6fa26e7-d0f0-4396-a3b0-e78f9c091fda · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67138ef7-d2ef-4d99-9a63-8e0bfff26c9b · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 425d15df-8137-4a58-89ef-541f53f9ebe5 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be3170aa-a6b2-46e2-a900-b2cb7b58b3c8 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3601a037-9999-4148-902e-db861e2bca17 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c7e07455-cc9b-4e76-8a0c-fd9c17cf8928 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04e0685b-e22a-4729-bb16-527eb3fb5da0 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Dueling Network Architectures for Deep Reinforcement Learning
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdf069ed-7ed1-4141-84bd-fcee3db40625 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f6356b9-7277-4caa-a5ab-109615dcee77 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Unresolved cited work
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 132cdfe7-cd9c-4deb-a64e-e1962f0a9dd4 · outbound
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Graph Neural Networks: A Review of Methods and Applications
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.