Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sequoia: A Software Framework to Unify Continual Learning Research
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2108.01005.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:58:27.155021Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T16:33:39.053661Z
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 9b4e9b07-1276-432f-b591-62acc99088db · inbound
Deep evolving semi-supervised anomaly detection cites this paper.
Deep evolving semi-supervised anomaly detection Sequoia: A Software Framework to Unify Continual Learning Research
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:58:27.155021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 964a3708-080b-4a5f-a9a7-fc1e0e337a40 · inbound
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference cites this paper.
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Sequoia: A Software Framework to Unify Continual Learning Research
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:27:14.920225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca643c04-9350-4aa3-aac1-84071501fb24 · inbound
Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.
Position: Theory of Mind Benchmarks are Broken for Large Language Models Sequoia: A Software Framework to Unify Continual Learning Research
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:07:41.364244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2791e104-cf82-437b-bf56-916edc5caaa2 · inbound
Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review cites this paper.
Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review Sequoia: A Software Framework to Unify Continual Learning Research
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:41.318889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6da3c5ba-9f03-41bb-82ff-a98d4b0bf0af · inbound
Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning cites this paper.
Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning Sequoia: A Software Framework to Unify Continual Learning Research
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:33:39.055520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.