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Paper Citation Record · LEDGER

DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.11482.

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

pith.paper-citation-record.v1
2502.11482 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:38:48.961212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:44:01.530419Z

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 f8ca8b37-df74-428d-87e8-f6777ba23f61 · inbound

SAE-FD: Sparse Autoencoder Feature Distillation for Continual Learning of Large Language Models cites this paper.

SAE-FD: Sparse Autoencoder Feature Distillation for Continual Learning of Large Language Models DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:44:01.531684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T22:38:48.961212Z digest=sha256:b7abe6529156ea3a10a24b340f6c7df9fa8ca371e6ee38d548088445a2a1f19a

Observation ae7e991c-3933-405e-a63e-db3886783f1c · inbound

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis cites this paper.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:42:56.598909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:a087436ff5b65140d06fcbf1f0324d184f74323b2b8f969aeabcb8f5a056fca5