Paper Citation Record · LEDGER

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.27634.

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

pith.paper-citation-record.v1
2606.27634 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:39:25.998794Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact7
verified fuzzy0
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e264e82-fb22-445b-be76-ff5a4cc9ff5d · outbound

This paper cites Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-08-11T02:18:55.465785Z

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.

Observation af6593f7-a0d4-4414-8eeb-22f913e21674 · outbound

This paper cites The Llama 3 Herd of Models.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis The Llama 3 Herd of Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:42:56.607482Z

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.

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

This paper cites DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning.

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 2026-08-20T06:33:59.587034+00:00.

Observation fb1fc240-866e-489e-85a8-2bba4e881854 · outbound

This paper cites Decoupled Weight Decay Regularization.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Decoupled Weight Decay Regularization

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:42:56.613232Z

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.

Observation 45f9d6dc-1289-4c66-9911-e075b8df8504 · outbound

This paper cites an unresolved cited work.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T00:39:25.998794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb78b5ad-c7ba-46e2-b9dc-8e4332560041 · outbound

This paper cites an unresolved cited work.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T00:39:25.998794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb73f26-0c0f-469e-9970-26a29d2e2029 · outbound

This paper cites URL https://aclanthology.org/2022.acl-long.246/.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis URL https://aclanthology.org/2022.acl-long.246/

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T00:39:25.998794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a491b23-9ade-48fc-897d-7402972019f8 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:42:56.604746Z

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.

Observation f72b0119-9612-49fb-bd04-1f701090342b · outbound

This paper cites Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:42:56.610450Z

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.

Observation 8e852459-4116-40aa-b7d5-813fb50b0bf2 · outbound

This paper cites URLhttps://aclanthology.org/2023.acl-long.368/.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis URLhttps://aclanthology.org/2023.acl-long.368/

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T00:39:25.998794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1884dc76-6102-4b82-95af-b5653f738731 · outbound

This paper cites Gemma 3 Technical Report.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Gemma 3 Technical Report

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:42:56.595893Z

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.

Observation 3461b087-316c-496c-ac94-9c08e5f9c84a · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.ACM Trans.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.ACM Trans

Reference 12

Resolution: metadata mismatch; doi, observed 2026-06-29T00:42:55.857741Z

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.

Observation 5e5bc237-17a8-4697-84c5-d57226ae95f9 · outbound

This paper cites URLhttps://www.aclweb.org/ anthology/2020.emnlp-demos.6.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis URLhttps://www.aclweb.org/ anthology/2020.emnlp-demos.6

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T00:39:25.998794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.