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Paper Citation Record · LEDGER

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.06171.

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

pith.paper-citation-record.v1
2411.06171 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:01.379622Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:50:52.197073Z

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 0ac22dc2-486f-486f-9d3a-00ef4cd9d0d6 · inbound

Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models cites this paper.

Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:50:52.200096Z

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.

source=pdf_text observed=2026-08-07T04:50:52.073044Z digest=sha256:92af60f56cf1a556685a2bf74d599325c321f35c46f27feba5af1fe6938bd605

Observation 46896635-c248-4020-9e64-8c3b1396b817 · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:01.379622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:01.379622Z digest=sha256:f0397de30228328712c292414043ca73ccfb173cb0f964bcde907778060915ab