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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:39f70eb4748d33a857f691cf00210d84a435af8211ba032f3d6d4ef4f9e9980e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:89e0c3e964042d8380c561cb938bc1afa7c8ec558646d35214b9e23f20b7c900

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:bdc32422545ff34fca37176a0b8740ea92656831d82a1e850e9c98b5b8346e6f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:cddad5f23989e8e12ed22fde4e2830c2e8d44277c8da6e3da8ff89c7c22c533f

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.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:dd66cdc9b6007968eff8332e922d099f889af1908f5ff48d135a3ec1c419b4b5

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.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:1f432c4477c75d0c11a5d764616d1b3f097b617b5972ccf99f20a81c2044477b

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.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:5b41c35550c5e411c8a36cf1dfa10b059f90dd704d716a472beeb35362cdba24

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:083cde896ad09c2668cae57e380f12e38a0519ca843de0f3638e22ee2211b4dd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:444fb00642f08548eb5a03ef7241c491b573daccfba2e2e2549b774e06fa9a8c

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.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:ac35f88ccbaabf7b1d2aac925176b6de0561e20bbded732c9738fdaf7629c668

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:5f79acba0fa25a84a2b74552abb45cff86d062210123bc42e105dd64f85b7863

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:e28558b7d5a15707924b70a6d353636c36cea4e673628c61bbf0f13f024a179b

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.

source=pdf_text observed=2026-06-29T00:39:25.998794Z digest=sha256:5bb652f547250673098922f13d77739ee6cdecbb427d0dfd5ede9e30b4b3b74c

Pith citing papers

No inbound Pith citation observations are available.