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Paper Citation Record · LEDGER

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

As of 15 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 6 inbound Pith citation observations for arXiv:2412.19512.

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

pith.paper-citation-record.v1
2412.19512 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:18:57.358405Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:58.102071Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:36:29.112684Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6669de0-a725-4743-a029-6803a7165005 · outbound

This paper cites online" 'onlinestring :=.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.108268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.108268Z digest=sha256:d2efa0c303b86e2cf80883d5a75a67b181b2ff0a06e66d2de97964af041ed006

Observation eff4584b-fb71-4a75-87c0-7a33d8a563ba · outbound

This paper cites write newline.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.113902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.113902Z digest=sha256:6fa32af31a046e9734b061ca2443077293da533ec8c0a0c43a048ecfa8fba348

Observation fd74db37-d909-4e67-a576-14baf081bd41 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.119147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.119147Z digest=sha256:d34c0ebc12bd08fee837db7f6bdd574d5b336b70573b9fde3940e6d232c4a3fb

Observation a9fff2d4-892d-4ed9-b1fc-db6fdb6b9aa2 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.123790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.123790Z digest=sha256:307f56bdb655689497bd026d3093beb9698c99a8f68409c7bcb1942decac215c

Observation d1c1f9df-884a-442c-8223-47ad7581154c · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Evaluating Large Language Models Trained on Code

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.127918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.127918Z digest=sha256:20c009cd81179e8009ade5f7d80888bd598f255b060842884d8c10b41e332fa8

Observation aa1a49bf-99f8-4cf3-99ac-3613d52e8694 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.132798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.132798Z digest=sha256:d9e125c8ba3bc4679a6eb88491e43c33f4ee3ff6bcc3900f2cebf4325a49445c

Observation 46844b93-c05e-4121-b95d-3a4250687f92 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.137405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.137405Z digest=sha256:78ef9b00f40c34d3e4b6564e9f6f62c7938b08919d61a1789b2333196c8d1ac6

Observation 7ac79489-bae2-49cc-9477-cd529f0b5bcb · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:58.087683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.141984Z digest=sha256:38e79502c0a4b27cb8e17121cb4cc9eb4261404030bdffa55124dc6c2eaf0424

Observation cae8a1d2-304d-4acb-b7f7-25bfa1eb1af1 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.147107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.147107Z digest=sha256:81ee21267e2d4bb159c5dfaba0690de450d96cf5be8ae806f4e5047416a49f23

Observation 3224d235-ae87-4a65-957a-f446bdb2be20 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.152116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.152116Z digest=sha256:966307b4c9ee263502361f0811df2a960534a7e9ba58333aaf0b933d5b5d435e

Observation fe2aa376-a3e4-40eb-b479-9f56327725cc · outbound

This paper cites The Llama 3 Herd of Models.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging The Llama 3 Herd of Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.156708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.156708Z digest=sha256:8a873133646748c593ac22c3c955d55e4ec02c4b0edda74394b798b552272d04

Observation 96b2dc93-a2e4-4d51-945b-a088af357675 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:58.072094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.161552Z digest=sha256:4e8fc9f4a064b6819435bd2d2204f7d56b4243106aae3e194132a75305f2a5ca

Observation f8e894bb-8996-453e-8c01-9002a2647b6b · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 13

Resolution
verified exact
doi, observed 2026-08-11T00:18:57.484090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.165917Z digest=sha256:aa13a6ad61b7de413073d8f92de985081c4317414389851dd1a0a13806d7a83d

Observation d0c08b9f-7102-40a9-b1ad-93f379aebd8c · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:58.056542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.170570Z digest=sha256:4d056d71b039f4687b43f98d8c65599f162ad49cd8cf66d3e45efee1c15f1598

Observation 258fefcc-76a3-4216-94c6-8a8215d953a1 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.175136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.175136Z digest=sha256:b7f77351ff6afe938e6e9ce80bac58459f2883da46fc1a0585522b6f86b43fc0

Observation 5c9ed235-0a5d-42ec-83ef-7a73376fd0f3 · outbound

This paper cites Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.179861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.179861Z digest=sha256:621afd7977502788353a0747c787605d92b246e7eb95709d44f0661250f3a7a7

Observation 982c9dc8-f229-41ca-8820-09e2b13a778a · outbound

This paper cites Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.184736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.184736Z digest=sha256:3ff1e652b8c9568708f024a9dd5a71811c4db208a4d6559b20e570252994ed2d

Observation 41d6838b-9387-45cc-b4ba-cc466bfa30ad · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:58.031361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.189479Z digest=sha256:7daa419235c271f8e68a6c6f00c54cf4c1e8f6f6bb1fd5fcd59d072af152e9e0

Observation 50db6f75-8f39-4688-a67b-30753377b358 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:58.012110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.195358Z digest=sha256:f8f3c76b33149d0499aee7ef54285a55e48fd4717cb574309c2a9749491e396a

Observation 96d250f9-95a3-42ae-a3c0-e72b4c87cdd2 · outbound

This paper cites A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.199347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.199347Z digest=sha256:e548381137f5ccd924cd5f524b26d60942264dec73f9a62fe92c4a2b7b3c0f33

Observation 16e38055-cd88-4328-8d68-248f18ca3c5f · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.203568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.203568Z digest=sha256:52bf40c99bbeb90c98c4c90db7e25ae17502c8a960b68c400df99dc05effa975

Observation 604cd0c9-c35e-4614-bf54-c03176f45daf · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.207635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.207635Z digest=sha256:2a05b84392c6ab9c74b6dcee0b7cf4ded11212cdb6f099d3be39994b3ddbb521

Observation 88e80cff-7404-4b57-90c9-178343271d6e · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Gonzalez, Hao Zhang, and Ion Stoica

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.211710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.211710Z digest=sha256:835aed445f7dd6ed2b51a7ecc3a619b487562783b3a59af34f42ce1e4a1cad7f

Observation 14dfb17d-7526-4be4-bafc-e6ba73337cc6 · outbound

This paper cites Examining Forgetting in Continual Pre-training of Aligned Large Language Models.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Examining Forgetting in Continual Pre-training of Aligned Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.215751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.215751Z digest=sha256:f5e19cc701dd5eda69fffe868f5e72bb0ad04c0830a7114c7f125b2bd0e4b09d

Observation d7cff0f7-6ccc-4234-81d3-9d7bfc077e11 · outbound

This paper cites ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.220122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.220122Z digest=sha256:9cd5547f435360ed227503855e2e4f5655f4064e3278939ca08e6a5a3a334c49

Observation fbdd40e1-0b7a-46ae-a92c-0a627d582fca · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.224721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.224721Z digest=sha256:b801c699658005ab7cf686d6aea4f3a8e41feab84f6e4891701b7df484702c98

Observation 0da4e2f5-7d8a-4b6f-be4b-c036700f19b9 · outbound

This paper cites The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.229525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.229525Z digest=sha256:ee7519bc5e20047f049295cad58530c64cd83a231598b6ae72f52c7c0a0b626d

Observation e2f2cebc-1786-4481-807a-a1fc31eef8a1 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.234241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.234241Z digest=sha256:e40b02667562378232fc7cedfd24338bec7dfe1c98f7fc800b074f70cffb5a41

Observation 37e8b2ae-a17b-47b6-a3c8-faffc56c6b8a · outbound

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

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.239024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.239024Z digest=sha256:bbca9b8ea26e7c5d6de4e54dc37208c1ebe238c689106a6c86ca7db565032c81

Observation c45399fd-ffbc-430f-98fa-da9585ea3673 · outbound

This paper cites Steering Language Model Refusal with Sparse Autoencoders.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Steering Language Model Refusal with Sparse Autoencoders

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.243698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.243698Z digest=sha256:92d00c2fd1b7e0faa52a629ab010d0469addffd9e47540bdd09236271aea8fa9

Observation b28e9ca3-9dd2-49dc-9650-ab4e13fa51d9 · outbound

This paper cites GPT-4 Technical Report.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging GPT-4 Technical Report

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.248304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.248304Z digest=sha256:ae371acafa49568499588ca8bcc7ac884023685847a67a205cc53fd5a3087213

Observation 9d427485-1f16-4aff-a2bb-16bc870c7513 · outbound

This paper cites Training language models to follow instructions with human feedback.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Training language models to follow instructions with human feedback

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.253612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.253612Z digest=sha256:91ed59ac00ce42ce12431792cfcb0c3b1c52d97329d2c90e70265670272e1561

Observation 606fa7c1-b3ea-4a90-9312-691bac18423c · outbound

This paper cites Patil, Tianjun Zhang, Xin Wang, and Joseph E.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Patil, Tianjun Zhang, Xin Wang, and Joseph E

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:18:57.969148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.258091Z digest=sha256:b58063fc96c51a28ce89fa164e9a49ef851a002f7723818f1f14b13497e51dbc

Observation 6984abc4-3de2-4ea2-823c-c29bbb092ddd · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.262779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.262779Z digest=sha256:7eb6199979ac5450801b6fe2cd59d8bd820bca5bc85205e66eab640a58ca8346

Observation a0c154c0-40e2-4d93-92a5-63313287e8af · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.268347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.268347Z digest=sha256:cc901f6a18e464b66257d0ab2c385538331175edfd4896ff5f69d36f7bbd664d

Observation f83f2ac8-decf-4b56-859e-7f72e3acb095 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.272888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.272888Z digest=sha256:155cf9d2d9404d8bf00032d38782b93dfb495f8df54e00715d51b2eae26bd4e4

Observation 4ea73843-acfd-4c78-b012-0d165824a4a5 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 37

Resolution
verified exact
doi, observed 2026-08-11T00:18:57.451041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.277282Z digest=sha256:43352969c48e3ffdc0965b914542cb7f16eadf8917654bd35ee18e3e43229aa5

Observation 506734e3-029b-4625-a317-972082c5716b · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.281228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.281228Z digest=sha256:1debf357c019c2f1419b833e6d3eb22d805e3db35ecd99cb2fd46bbd914784d3

Observation cc1abd00-ea36-460c-a646-8c251f96686d · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Gemma: Open Models Based on Gemini Research and Technology

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.285277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.285277Z digest=sha256:a69146576db88bb69181bea19c81b476d2cff233cf8cd40db889ad36ae41e8f1

Observation 81be9f56-6b6c-4385-9e26-8994908544d3 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.289369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.289369Z digest=sha256:8050490894af83055e4af8109da6058e3d26f9969a9bb196c4fd36d1c0cb55e6

Observation 65cc7a7f-dc18-481b-84cf-56f7ade16304 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:57.914020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.293248Z digest=sha256:29369cbbd915caefc0578825afafeedc808ac3f3bb57ecaae33811259bc382c8

Observation 9cd53d52-179c-4626-82ca-07d4772ebfb2 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:57.895988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.297149Z digest=sha256:f13843f209d1f1818aa12ce27e8fe4ad6002efa8b207ad6276f87882c55d96f7

Observation ba9c54d4-2cf8-44dc-bb73-b9c9728300e1 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:57.880020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.301429Z digest=sha256:946807b1ce30f1d9c1e3936910a885ffb00b8efd26c792643e7ba0c385097155

Observation 1195a6c3-ca05-48a1-ab0c-9b7398401691 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:57.864541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.305506Z digest=sha256:4a79126e1deb68f8cdd92e15b8f10bcaa54d5cae03cc743dd5d5f8592362d73f

Observation 37371682-f637-4edd-a981-9cf9a3da808e · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 45

Resolution
verified exact
doi, observed 2026-08-11T00:18:57.427088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.309458Z digest=sha256:96d6519dc21e64177cbb6f64e25e5989ca0c8230428d6cb39be3f4bd09e1f2e2

Observation c474736d-c6f6-40d5-8094-baa91145fd97 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:57.849504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.314081Z digest=sha256:ca8159b79b46445f97b952309ceef5f49a7dce9e82e78f06e45a5ce5967ea9d4

Observation 660f0cb2-37c9-4e4c-9e76-4badd7e039d7 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.318175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.318175Z digest=sha256:90a125ca6449e74837eb9a0dcd9ed2ca9ae5518ffa7ffc51980a605cc4e86d38

Observation 303e0b88-975d-4769-a3c8-8d356b9950a2 · outbound

This paper cites Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.322310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.322310Z digest=sha256:e36633e1a4fc39eeb0789fc081234c3957f591c54f8edef0dd67f0eab64fab6e

Observation e32e24a3-54a6-4a7b-90b4-d2f6d73c298e · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.326362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.326362Z digest=sha256:166c967f715651bde5a1875deb751eef50bfc69b63baa900e7dc717e6a5aad4e

Observation 12882652-4d8a-49cf-8534-c6f29466875e · outbound

This paper cites A safety realignment framework via subspace-oriented model fusion for large language models.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging A safety realignment framework via subspace-oriented model fusion for large language models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.331014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.331014Z digest=sha256:8ae4c04efe49237e58e0cae504de2245da4b51dacd60f4fcd53860b20afa40f2

Observation 40debd29-8179-4299-83fe-610fa81c608a · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:18:57.833826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:18:57.335821Z digest=sha256:454f624502b559fec4ec9ba791655b67f23337be596c341a37f7382a2cfa10bb

Observation 586cd658-5738-43be-9949-725ac913fcb9 · outbound

This paper cites an unresolved cited work.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.340125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.340125Z digest=sha256:3fed950bf3c610f13dc87b87b5cb010ec220e41db3b89305c93fcc85cef61263

Observation 1e0ab87e-e791-4654-bb2b-d4b6654abd16 · outbound

This paper cites Weinberger, and Yoav Artzi.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Weinberger, and Yoav Artzi

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.344622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.344622Z digest=sha256:d425fa7a960043a60cd22e6000bfc8f7ab8283ee6c1c476bf967d7270681c3b5

Observation 5c7fd691-73c8-4b8e-adb4-c7ea122aa2da · outbound

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

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.348962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.348962Z digest=sha256:cb2ecc994f2ae94c4883d200317424c6209f5a332886c4de5066177c8d0cea44

Observation d700507f-4e65-4384-836d-8df86fce00ec · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Instruction-Following Evaluation for Large Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.353609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.353609Z digest=sha256:405f6b1fb7b26b37e0df9383b0e54707d770c71b5bb4f9e1b61781e5dc30c9df

Observation 0ba08b25-c7d1-4545-896a-6847b723fea5 · outbound

This paper cites Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.358405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.358405Z digest=sha256:d6a1013894d783dfe1ed055d73f944783d2f982eada3683c52d399a0f964dbf5

Pith citing papers

Observation b0cb59f1-cc2b-48e8-9ece-a4a3dd1880a4 · inbound

Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment cites this paper.

Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T18:13:58.102071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:13:58.102071Z digest=sha256:59f48f36d8ef537c74f0a95576719577061b551174f2c5ba2a60354526712cd3

Observation 31aeccf6-a041-46cc-b0e8-4aa66fe671e2 · inbound

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection cites this paper.

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:40:42.333276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T06:39:17.785715Z digest=sha256:6f40b414338784caf98c9c608bb03c2c23d4bbd82cf7974892bb09432fee6ae5

Observation 991fed19-b0ee-4399-a3e7-ca86572f825c · inbound

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:08.494325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T17:02:20.836208Z digest=sha256:abd9e142f44453180b219607c922b56429999a2dd31877486638502b4ced1705

Observation 0ab76c15-4a78-45d0-9611-7456edf670b7 · inbound

SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment cites this paper.

SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:06:20.945075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T14:39:11.178976Z digest=sha256:56c5e9ca02c7fdd4514e45764b7ee770594d373feb5ebc3720ec11ca707a6a6c

Observation 321f8500-621c-4b33-b3a7-f30d06b63683 · inbound

SafeGene: Reusable Adapters for Transferable Safety Alignment cites this paper.

SafeGene: Reusable Adapters for Transferable Safety Alignment Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:36:29.115347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T09:58:16.956281Z digest=sha256:06d5d4a6f6c4d9477714cb792f01001207cea4a4a45ee171c8ad873311a7bd66

Observation 263505ab-b217-4b2e-b25a-28d22d546b0b · inbound

When Skills Meet Safety: Benchmarking and Characterizing the Adaptive Jailbreak Robustness of Skill-Merged LLMs cites this paper.

When Skills Meet Safety: Benchmarking and Characterizing the Adaptive Jailbreak Robustness of Skill-Merged LLMs Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T04:46:15.928433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:46:15.928433Z digest=sha256:9d93451aa1734a8a172178d46abc51920150c3b5b18b8d4b7aa39f3f59b89b51