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Paper Citation Record · LEDGER

Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.18886.

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

pith.paper-citation-record.v1
2403.18886 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:06:54.090309Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:06:34.481494Z

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 9ff4c232-2881-4a73-97db-e67510583a7b · inbound

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning cites this paper.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T05:06:54.090309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:06:54.090309Z digest=sha256:f7ee4d2ea66a3a8d50816f85ca7339ac1f98ddc02c92ddee41b8f068378063a3

Observation 18351e03-c351-4b1a-b973-28bd6514f0ad · inbound

Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning cites this paper.

Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:47.244819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:51:47.244819Z digest=sha256:3374334ea274e639a75632748faad24ed99ef0d29772cf71fb30aa72ecef440a

Observation da817d67-d6b0-485c-bbaf-f1d881690a92 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:06:34.484854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T13:06:03.463520Z digest=sha256:8cc346c19106de4997e942d8b11493b4db96488e5e251268f9bc157353fae3d3

Observation 241bdf44-3363-4fa2-b93c-11f9a268699f · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:16:51.529123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T21:13:41.362773Z digest=sha256:22de7b200b7216009275ed63c45bafab849c6932b055fe700c0a106c2b5f1c9f

Observation 1ecabd7b-e3fe-473f-aa57-5210e612e707 · inbound

Routing-Based Continual Learning for Multimodal Large Language Models cites this paper.

Routing-Based Continual Learning for Multimodal Large Language Models Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:55:35.346946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T00:52:36.700027Z digest=sha256:4ac699808f0143d4feed6ed9a7db0d24ca27330e59ee65799e62cedcdb6764d2

Observation 25427910-2c9a-4fc7-a528-1c23a6c12bf8 · inbound

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning cites this paper.

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T16:31:05.727009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T16:29:58.866059Z digest=sha256:a3b6a16f18d7d74d8bcd51416be8b6bcfedac7c1ef6fd5cf4cd82f6ad34e821b

Observation 2efe9b0f-8b4b-4e02-9da0-4ba4538583e8 · inbound

Learning to Remember, Learn, and Forget in Attention-Based Models cites this paper.

Learning to Remember, Learn, and Forget in Attention-Based Models Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T03:16:07.874534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:16:07.874534Z digest=sha256:e51a156b4fa7a89f5c5a43a4f22d6d47e1b422a9adf3193d563e0131339e4004