Paper Citation Record · LEDGER

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 7 inbound Pith citation observations for arXiv:2501.13669.

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

pith.paper-citation-record.v1
2501.13669 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:48:09.232556Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:41.545919Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.897925Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy4
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1fdb145-edf6-4151-9ec7-104192ad5a75 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization LoRA: Low-Rank Adaptation of Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.198507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70865d5-88c7-42d0-89b8-f1855a627193 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.202117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4394c8d1-fdcc-4b2b-ba5c-f84eda8a976f · outbound

This paper cites and Joty, S.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization and Joty, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:09.367007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99ed3f3a-10e2-4439-a35a-8b6e26d07237 · outbound

This paper cites Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.216082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15f408f-1404-40a2-b615-3684ce2875b3 · outbound

This paper cites and Feng, Y.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization and Feng, Y

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:09.356655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e74f434-3076-4636-bd6c-895693d6f52c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization LLaMA: Open and Efficient Foundation Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.222872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c85b423b-3223-46a9-8f85-c00ffa391539 · outbound

This paper cites Learning to prompt for continual learning.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization Learning to prompt for continual learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:09.346478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35aae84b-805b-4103-8dd8-8057454f0445 · outbound

This paper cites LoRA-Pro: Are Low-Rank Adapters Properly Optimized?.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.229492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fb14e9-3569-468e-bc09-9c9c4cdf5d2b · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization Crowdsourcing Multiple Choice Science Questions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.232556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26528d6c-6f83-4808-a67a-43be8481a683 · outbound

This paper cites Continual learning of neural machine translation within low forgetting risk regions.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization Continual learning of neural machine translation within low forgetting risk regions

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:09.377244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad5a4959-e3c8-4ce2-9288-e9c6209d88a7 · outbound

This paper cites Full Parameter Fine-tuning for Large Language Models with Limited Resources.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.205619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba665177-3c62-4cbb-99c0-f5e461067757 · outbound

This paper cites The Llama 3 Herd of Models.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization The Llama 3 Herd of Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.187110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa7aade-254d-465b-b2d4-0c1759052836 · outbound

This paper cites GPT-4 Technical Report.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.209187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10362ff7-80da-4dff-abf8-c47cf79f888c · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:09.191348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c2a425a5-f885-41d3-9b9a-315bb942bb31 · inbound

Memorization and Knowledge Injection in Gated LLMs cites this paper.

Memorization and Knowledge Injection in Gated LLMs How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:41.545919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9596d81-af4b-4be6-b67f-4a788950bc15 · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:25.873848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09cbdec8-e815-49f7-912e-cedb07a11b06 · inbound

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:23:41.525376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319b1bc1-b991-40c3-bae2-da6c529c6a94 · inbound

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs cites this paper.

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:56:50.460181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77785bd3-0de9-4bd4-a6c8-5aac75750fa7 · inbound

One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning cites this paper.

One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:07.467799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8024744e-d69d-4b3f-8437-27cc47238bdd · inbound

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates cites this paper.

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:18:07.037798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c68c8346-c38b-4a80-bf4d-2840eaff01f1 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.899620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.