Paper Citation Record · LEDGER

Enhancing AI Safety Through the Fusion of Low Rank Adapters

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.06208.

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

pith.paper-citation-record.v1
2501.06208 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:11:25.538907Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

23 of 23 outbound references displayed

verified exact1
verified fuzzy13
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83854802-ed4b-4ffe-bdc5-b43fc9ec80bf · outbound

This paper cites GPT-4 Technical Report.

Enhancing AI Safety Through the Fusion of Low Rank Adapters GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.448248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f09af55-4576-4c29-b93c-9a618aad878e · outbound

This paper cites In: NeurIPS 2020, pp.

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: NeurIPS 2020, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.869986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a436d54b-7ca9-412a-a5ab-a6e05a76205c · outbound

This paper cites https: //github.com/huggingface/peft, last accessed 2023/10/25.

Enhancing AI Safety Through the Fusion of Low Rank Adapters https: //github.com/huggingface/peft, last accessed 2023/10/25

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.858180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf3c86f1-9e8d-4a5d-826d-76b6597ffde8 · outbound

This paper cites In: In- ternational Conference on Learning Representations (ICLR) (2022).

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: In- ternational Conference on Learning Representations (ICLR) (2022)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.844589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 883d0149-6304-4de2-9e6c-360e18e331b2 · outbound

This paper cites In: Ad- vances in Neural Information Processing Systems (NeurIPS), vol.

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: Ad- vances in Neural Information Processing Systems (NeurIPS), vol

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.831486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1deece9a-e6a2-4666-9da8-f22106f435a7 · outbound

This paper cites In: The Twelfth In- ternational Conference on Learning Representations 4https://github.com/Anonunser6523/ Safety-Finetuning-LLM (ICLR) (2024).

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: The Twelfth In- ternational Conference on Learning Representations 4https://github.com/Anonunser6523/ Safety-Finetuning-LLM (ICLR) (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.818770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd770dab-f9f7-4e10-b5d3-c8e734773adf · outbound

This paper cites https: //openreview.net/forum?id=hTEGyKf0dZ.

Enhancing AI Safety Through the Fusion of Low Rank Adapters https: //openreview.net/forum?id=hTEGyKf0dZ

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.803567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57ede820-c721-42d0-a0c1-20533454bd0f · outbound

This paper cites In: Proceed- ings of the 2024 NAACL-HLT, vol.

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: Proceed- ings of the 2024 NAACL-HLT, vol

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.790615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2af6c8a5-5cb1-45b1-853d-6a6e89bd7890 · outbound

This paper cites In: ICLR 2024.

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: ICLR 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.778899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6129cfc-cea3-4219-9384-cce38853c960 · outbound

This paper cites The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions.

Enhancing AI Safety Through the Fusion of Low Rank Adapters The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.488717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e7355e-2f01-45b7-96a1-ba4354b1d831 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.493616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ab8f87-49c1-464a-9558-9640a8f7d10f · outbound

This paper cites NAACL-HLT 2024, pp.

Enhancing AI Safety Through the Fusion of Low Rank Adapters NAACL-HLT 2024, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.766484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79348459-627e-4d50-b6d2-df999f7401a5 · outbound

This paper cites Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.501902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2027b947-c2ff-438c-85b3-9c6b76a73b9b · outbound

This paper cites ICLR 2021.

Enhancing AI Safety Through the Fusion of Low Rank Adapters ICLR 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.754621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9081ee9e-60ae-4789-bcc2-9675ebfbb6fd · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.509001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d5ed11-9560-4f63-8ba4-32c9e7be0a79 · outbound

This paper cites In: Proceedings of the 37th International Con- ference on Neural Information Processing Systems (NIPS ’23), Red Hook, NY , USA, Curran Associates Inc., 2024, Article No.

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: Proceedings of the 37th International Con- ference on Neural Information Processing Systems (NIPS ’23), Red Hook, NY , USA, Curran Associates Inc., 2024, Article No

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.740047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f583a52-83fa-4a77-b27e-88273404dc40 · outbound

This paper cites In: The Twelfth International Confer- ence on Learning Representations, 2024.

Enhancing AI Safety Through the Fusion of Low Rank Adapters In: The Twelfth International Confer- ence on Learning Representations, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.727193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c09fa7f1-e4ca-4401-bbdc-39a83672c354 · outbound

This paper cites Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.519326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86df4b09-0f62-447c-96c1-600d87f6045e · outbound

This paper cites an unresolved cited work.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:11:25.714930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 12331947-3d27-4786-8e36-f8dc6bac4e5a · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Scaling Instruction-Finetuned Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.527527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eefa0995-51ac-4465-bc1a-d561d53bf7d0 · outbound

This paper cites Safer, More Precise Management of Osteoarthritis Pain.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Safer, More Precise Management of Osteoarthritis Pain

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T23:11:25.574778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a0b175d-c499-457e-9dfb-12c55d8fb0a2 · outbound

This paper cites an unresolved cited work.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:11:25.701542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 405d2931-a500-4f0e-adba-88a3b5f32801 · outbound

This paper cites , GPT- 4 rates them as harmful despite the following re- sponse has refusal as.

Enhancing AI Safety Through the Fusion of Low Rank Adapters , GPT- 4 rates them as harmful despite the following re- sponse has refusal as

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:11:25.687896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.