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Paper Citation Record · LEDGER

Mixtures of SubExperts for Large Language Continual Learning

As of 8 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2511.06237.

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

pith.paper-citation-record.v1
2511.06237 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:23:02.644784Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation caacf0fe-eb77-45e9-ab16-b9cc38bf95c5 · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

Mixtures of SubExperts for Large Language Continual Learning Self-Alignment with Instruction Backtranslation

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T23:23:02.579293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:23:02.579293Z digest=sha256:af955f63cd08876e6ff2247f4aee05851f17c269c3458ddd9119d102d5da8e67

Observation 6936ee5d-02d0-4640-99f6-4c66526b13ef · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Mixtures of SubExperts for Large Language Continual Learning Measuring Massive Multitask Language Understanding

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T23:23:02.520620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:23:02.520620Z digest=sha256:ecf6ec2d83c76b85850b2649b359531012cafd39a95f041abaaf2a0b9fdddc21

Observation f2c84ca3-7af2-4e02-a238-e4f30c360294 · outbound

This paper cites Loss decoupling for task-agnostic continual learning.Advances in Neural Information Processing Systems, 36, 2024.

Mixtures of SubExperts for Large Language Continual Learning Loss decoupling for task-agnostic continual learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T23:23:02.644784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:23:02.644784Z digest=sha256:a36b74b2ff10ce12c63274c922143fa677298b6bf628fa39e9f059fe6adf175c

Pith citing papers

No inbound Pith citation observations are available.