Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Alberta Plan for AI Research
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2208.11173.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:07.735833Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:30:07.299076Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6e49f43e-da2c-4a7a-b100-08ddf8175ba6 · inbound
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree cites this paper.
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree The Alberta Plan for AI Research
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:36:07.735833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 537b9cc2-956c-4a4d-9402-988c83d89c0c · inbound
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem cites this paper.
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem The Alberta Plan for AI Research
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T10:44:37.766374Z
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 6940147f-b30a-4839-9f65-549d7e5c377a · inbound
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem cites this paper.
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem The Alberta Plan for AI Research
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:13:13.152039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66ff58db-4ad0-4531-ad12-70984ca82161 · inbound
Forager: a lightweight testbed for continual learning with partial observability in RL cites this paper.
Forager: a lightweight testbed for continual learning with partial observability in RL The Alberta Plan for AI Research
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:46:52.965285Z
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 6e5ab4e5-8d77-4f03-b7e7-2d6ac3f1456f · inbound
Europe and the Geopolitics of AGI: The Need for a Preparedness Plan cites this paper.
Europe and the Geopolitics of AGI: The Need for a Preparedness Plan The Alberta Plan for AI Research
Reference 269
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:49:23.621905Z
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 5f31dce2-94e3-45c3-91de-18106c1baa28 · inbound
Position: Deployed Reinforcement Learning should be Continual cites this paper.
Position: Deployed Reinforcement Learning should be Continual The Alberta Plan for AI Research
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T21:56:16.625429Z
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 e53b6b6f-1f52-48ee-91c6-2c1269681423 · inbound
Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention cites this paper.
Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention The Alberta Plan for AI Research
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:30:07.300490Z
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.