Paper Citation Record · LEDGER

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2509.08255.

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

pith.paper-citation-record.v1
2509.08255 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:01:50.184299Z

measured 43 of 43 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 2026-06-26T11:10:56.755558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.248343Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy1
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c405917-72b0-4d4b-bc23-1d996c47091f · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.073288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b5ec68-8940-40d9-aecb-b2fb3fdf3ccb · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Evaluating Large Language Models Trained on Code

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.076854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1162857d-fc50-48ec-b1a7-3f9d347a1ef1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.079957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0f5cf4-875e-4fbb-ad68-e2572c600abc · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.083312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cfcec74-297e-49e4-8916-cb848caeab50 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.526801Z

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.

Observation 595af52b-d71e-45e2-947a-a7ec483fb551 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.089222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85dfea82-19e0-453e-a183-52186a0b48a1 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.092487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09443c2-dc30-4b27-b21c-041e3bdce6eb · outbound

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

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.095125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a983c063-bd01-4da3-8970-72212a877880 · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.098098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee622ac-335d-466e-a92e-a8c5af803b38 · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.100902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03efe4ff-a7b8-4852-8f44-ae105a9ed153 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.512894Z

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.

Observation 5cbd8523-9210-46ea-a538-446d3e5025a8 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.106584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e786a74c-6437-49d9-80a6-38144e0f0cba · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.499343Z

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.

Observation 5fa49079-bb5b-42ed-b0bc-dc34bc065b6b · outbound

This paper cites QASC: A Dataset for Question Answering via Sentence Composition.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning QASC: A Dataset for Question Answering via Sentence Composition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.111539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36032b2a-df67-42b6-8a5c-2d05cf66a0ad · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.114167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff3046d-74c5-44f2-be20-b1d895549236 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.484878Z

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.

Observation eedb4ffa-f212-4150-bc00-168f8e512a60 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.476231Z

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.

Observation 72ea7093-72fc-45d0-a8f9-e07ade9e556d · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.467177Z

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.

Observation 1f34472f-2b41-4fc4-af15-a05165cda945 · outbound

This paper cites Mitigating the Alignment Tax of RLHF.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating the Alignment Tax of RLHF

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.125128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d244430-83b6-43f3-baf4-f4021921dc53 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.127888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1a5c34-7275-49d2-af42-aba7dcb7c18c · outbound

This paper cites Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.130702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6b972b-edeb-4725-ae8b-d168f3ad410d · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.458650Z

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.

Observation 0c236082-2d06-4225-8c19-587b936ccbb3 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.135922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f95d6d-c6ec-479c-9093-913045eab396 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.138528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2daa4c2d-dc25-4e64-a32a-76619f610a62 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.141114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74788909-bb49-4916-9031-8b044487ffd9 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.438065Z

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.

Observation 83861191-fad8-4ec2-b985-bb85b8d57159 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning A Simple and Effective Pruning Approach for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.146642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 202e5159-d4f9-41b9-8630-91094f121080 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.427111Z

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.

Observation 619514b3-7ac3-4bf7-83a9-9b1a624c358d · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.417736Z

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.

Observation f02f53da-3324-4585-b8b4-5384d57be70a · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.409073Z

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.

Observation 65c8605f-563f-4a9e-8f51-86a960255c9e · outbound

This paper cites Mitigating catastrophic forgetting in online continual learning by modeling previous task interrelations via pareto optimization.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating catastrophic forgetting in online continual learning by modeling previous task interrelations via pareto optimization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:01:50.399524Z

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.

Observation 572e3f72-34eb-4b4e-bb4e-08b41562ffdd · outbound

This paper cites ReFT: Representation Finetuning for Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning ReFT: Representation Finetuning for Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.159542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 442d743f-545a-4dc8-be31-e4363e81797b · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.389674Z

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.

Observation 85b2bc8d-b799-4c86-90de-a6027818e083 · outbound

This paper cites Qwen2 Technical Report.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Qwen2 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.164903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35c2afd-fac3-4bd9-aa56-0e448f1e0f14 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:01:50.379984Z

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.

Observation dd0c8626-a09e-4699-82cb-090e4af39d59 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.170372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff376a3a-b949-4ec1-a0a2-3df40d6fd30d · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.172952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365301a1-374d-4318-ae2a-9a455659c975 · outbound

This paper cites Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.175713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af06819-54e8-495b-9c3d-6b2e328fb0bc · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.178382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae904a6-4ba8-4571-ae61-a7cd3197a8aa · outbound

This paper cites online" 'onlinestring :=.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning online" 'onlinestring :=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.180933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3493489f-5cd3-4828-a2f6-dccdc7c725c9 · outbound

This paper cites write newline.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning write newline

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.184299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 768c81ed-621b-4ec5-9d03-87361a537cbd · inbound

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining cites this paper.

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:49:49.902029Z

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.

Observation 323258c1-76b1-450c-9c1d-2d951894027c · inbound

Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model cites this paper.

Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:39:42.251664Z

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.