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Paper Citation Record · LEDGER

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2505.07329.

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

pith.paper-citation-record.v1
2505.07329 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:23:25.669144Z

measured 28 of 28 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:01.383577Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:46:13.258801Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact4
  • verified fuzzy17
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f22e8894-b38d-4a26-b7f7-9603ea2b2b3e · outbound

This paper cites https://siboehm.com/ articles/22/CUDA-MMM, accessed: 2024-10-30.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption https://siboehm.com/ articles/22/CUDA-MMM, accessed: 2024-10-30

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:27.371068Z

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=2026-08-15T22:23:25.199871Z digest=sha256:87d5e8e61a44761a2f59939c11cac5005c9831fc1d771385b352c002bee1a0f1

Observation 47b7595d-afa0-4382-8e51-d0651c95d56f · outbound

This paper cites The Llama 3 Herd of Models.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption The Llama 3 Herd of Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T22:23:25.255013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:25.255013Z digest=sha256:6bcff28ac05a49ed56817cc48b20d819b9be7b13b42ae3342c89178ac011f1c5

Observation ad7c30e5-55c7-4981-ac64-99ab5a8c9b0f · outbound

This paper cites In: Applied Cryptography and Network Security: 17th International Conference, ACNS 2019, Bogota, Colombia, June 5–7, 2019, Proceedings 17.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Applied Cryptography and Network Security: 17th International Conference, ACNS 2019, Bogota, Colombia, June 5–7, 2019, Proceedings 17

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:27.354950Z

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=2026-08-15T22:23:25.259829Z digest=sha256:9826be08e7355d93ab513f3a270d6c9fa9ae97524249e72b9e1267204789495e

Observation 5ac8e250-0748-4c86-abd6-18166fc28dde · outbound

This paper cites BMC Medical Genomics 11(4), 86 (Oct 2018), https://doi.org/10.1186/s12920-018-0398-y.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption BMC Medical Genomics 11(4), 86 (Oct 2018), https://doi.org/10.1186/s12920-018-0398-y

Reference 4

Resolution
verified exact
doi, observed 2026-08-15T22:23:25.941573Z

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=2026-08-15T22:23:25.265891Z digest=sha256:6797d0c08369c0ebb746f73b6e7f43c95182ef862e0e8550484714bb4548e797

Observation 63ebaf1c-7852-40b1-85c6-ec34a8589bfd · outbound

This paper cites Journal of Cryptology 33(1), 34–91 (2020).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Journal of Cryptology 33(1), 34–91 (2020)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:27.337213Z

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=2026-08-15T22:23:25.270399Z digest=sha256:99895a783273b44d6889df1f88d51774029375bdc5b8ec48a95ab5b3ad26cf2c

Observation eb1871ce-c580-495e-b512-a00389c98dfc · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Advances in Neural Information Processing Systems 36 (2024)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:23:25.274764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:25.274764Z digest=sha256:638df093712839e473bf4726c2d2a25cd2bebaac9b257d6b7fc6dfdc81b4bee6

Observation aba34f03-8209-4e73-9c1b-88644ee85f9c · outbound

This paper cites DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T22:23:25.281375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:25.281375Z digest=sha256:94575781e7b0c24b32b8244c0c457d0482b97351ca2b922d078cbdfb9bf7f5d5

Observation a0bd7f3b-5ab2-42a8-8a3e-11dfb040a9ad · outbound

This paper cites an unresolved cited work.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-08-15T22:23:25.897602Z

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=2026-08-15T22:23:25.286128Z digest=sha256:340d5b1223730c845865010d5d2f1b8e759618b77d3b018f73e97f9c893cd992

Observation 441acaf1-9ff6-4704-8646-8585c5d605cc · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Proceedings of the AAAI conference on artificial intelligence

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:27.261924Z

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=2026-08-15T22:23:25.344745Z digest=sha256:151a97d1b4234f2c23b291cbf82d0818fe94f3fc352b7e724e584a4b449d7fdf

Observation 76f178d8-1e80-495c-b517-aea4d245c455 · outbound

This paper cites Advances in neural information processing systems 35, 15718–15731 (2022).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Advances in neural information processing systems 35, 15718–15731 (2022)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:27.014402Z

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=2026-08-15T22:23:25.350392Z digest=sha256:97d7522387fc7d2655daabc2d7f58c011c9004e35e494cc74f83fcd4fb97a119

Observation 31cddc21-4d36-458e-b0b2-c1a4bcf126bf · outbound

This paper cites In: International Conference on Learning Representations (2022), https://openreview.net/forum?id=nZeVKeeFYf9.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: International Conference on Learning Representations (2022), https://openreview.net/forum?id=nZeVKeeFYf9

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.998391Z

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=2026-08-15T22:23:25.355163Z digest=sha256:519b84044cf2e7b4a30bf07a27d19eab2b1b26c86f06962f7078e1815c55fca5

Observation 0e823831-e715-4864-b793-97f6575abbe7 · outbound

This paper cites In: 31st USENIX Security Symposium (USENIX Security 22).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: 31st USENIX Security Symposium (USENIX Security 22)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.983980Z

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=2026-08-15T22:23:25.361987Z digest=sha256:f36c48079b69f116a44f3a6b45f575272c1b073b404a24ba0e661a617622e99d

Observation f6e6170f-3b98-4eb8-ac4b-70d8efd01c9f · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.969013Z

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=2026-08-15T22:23:25.366440Z digest=sha256:44fee5a58da6210e4a364184fd6aafa5dafb31e4d6485e004eefdd5a1ab5c191

Observation 9fbf0240-f100-4459-b571-bf1d90f5d3b3 · outbound

This paper cites In: Rosulek, M.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Rosulek, M

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.952918Z

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=2026-08-15T22:23:25.371155Z digest=sha256:81ca69345bd9392ee185aaad87c26399c461174f5bd480ffe7357e2af5c56fa4

Observation e8970424-8ae2-4bb3-a17f-17ca09edf062 · outbound

This paper cites In: 27th USENIX Security Symposium (USENIX Security 18).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: 27th USENIX Security Symposium (USENIX Security 18)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.760351Z

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=2026-08-15T22:23:25.376572Z digest=sha256:0ffeab30f024684e7c82f39f4ea5912fd213e3119bb84c64232c8a3119bbdf5f

Observation 5fd7c283-4e3b-4210-8abe-cbd0bc279e05 · outbound

This paper cites BMC Medical Genomics 11(4), 83 (Oct 2018), https://doi.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption BMC Medical Genomics 11(4), 83 (Oct 2018), https://doi

Reference 16

Resolution
verified exact
doi, observed 2026-08-15T22:23:25.784153Z

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=2026-08-15T22:23:25.381245Z digest=sha256:819f44dfe5350466ec9ebe78ba45c412fbfe99b18b9668ed394294e3a46af5fa

Observation da0117a4-d61f-46e0-8601-e0c133725eb5 · outbound

This paper cites Advances in neural information processing systems 33, 9193–9202 (2020).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Advances in neural information processing systems 33, 9193–9202 (2020)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.744351Z

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=2026-08-15T22:23:25.389445Z digest=sha256:7a79084b2161d5176897c570785773b6d420c6325a9e9c5d4455f7aa03b035f7

Observation a5481f04-9577-4dea-a51d-836fef5adfa8 · outbound

This paper cites In: Advances in Cryptology – EUROCRYPT 2010.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Advances in Cryptology – EUROCRYPT 2010

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.726879Z

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=2026-08-15T22:23:25.497117Z digest=sha256:e0a11bf20ef0f3c00fbe3a521050a459235e2ccca6f290cc9ba87f6fd0f8a342

Observation 33ff9ccb-c6ec-4ad3-b6d6-2975b704e8e8 · outbound

This paper cites In: Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T22:23:25.565823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:25.565823Z digest=sha256:d73c4e61786cc32769c3c116b23baa826326b5b470b039206c79baf9216a4598

Observation d74715da-67d9-4210-a4c7-527426b5dceb · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.607366Z

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=2026-08-15T22:23:25.610516Z digest=sha256:5d0d4537c332cc28bb3ea892578d3c0b2d5e4824fd939616037e994ef090419a

Observation 798f5924-5d04-43aa-af8a-e02e49cab103 · outbound

This paper cites In: Stern, J.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Stern, J

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.505487Z

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=2026-08-15T22:23:25.624748Z digest=sha256:f20dd709954276bd16ccf2e2679dfabcf99e8d6d739666f9850af34eb10a8c8b

Observation f5c3f78d-7ab2-4924-bd21-b13aac330843 · outbound

This paper cites In: Proceedings of the 37th Annual ACM Symposium on Theory of Computing (STOC 2005).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: Proceedings of the 37th Annual ACM Symposium on Theory of Computing (STOC 2005)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.489734Z

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=2026-08-15T22:23:25.639284Z digest=sha256:eef8a6e844b4118dfa9f8c572764a08fc8099d3c650ca7a68a05abc2f2d71b68

Observation 5faa2bf0-629d-44be-9a26-9ee445012bbe · outbound

This paper cites PrivateLoRA For Efficient Privacy Preserving LLM.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption PrivateLoRA For Efficient Privacy Preserving LLM

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T22:23:25.644745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:25.644745Z digest=sha256:cf48a8002b521324efc2139a993dcc1835b0e737060abd13086db107dfcc15e3

Observation b24421fc-7c7f-43a5-ba43-b3613c495c58 · outbound

This paper cites In: International Conference on Machine Learning.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: International Conference on Machine Learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.473033Z

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=2026-08-15T22:23:25.659693Z digest=sha256:c34ed8ea200ebda7f0c65e810ac8a1e65e03ae2ac195d8035d5523323c87a01e

Observation c30119f3-b25d-4b84-ac21-c6eb922cce05 · outbound

This paper cites PackVFL: Efficient HE Packing for Vertical Federated Learning.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption PackVFL: Efficient HE Packing for Vertical Federated Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:23:26.024517Z

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=2026-08-15T22:23:25.664382Z digest=sha256:60174cc821831e1993af6275addb7977d380efbdb865de6273cff8a1e23d1995

Observation b136e249-a713-47f2-bff7-919ce891b08f · outbound

This paper cites In: 2020 USENIX Annual Technical Conference (USENIX ATC 20).

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption In: 2020 USENIX Annual Technical Conference (USENIX ATC 20)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:23:26.339290Z

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=2026-08-15T22:23:25.669144Z digest=sha256:2831c690b62abdfe92505e82369a1399bbf95d5275def7f4dc747f64e11eb08b

Pith citing papers

Observation 91eb660e-1b1d-421d-acda-f38ee0c166d0 · inbound

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments cites this paper.

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:01.383577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:01.383577Z digest=sha256:89f66197578e99b532298d096bfe7d163d1f1a1291755f65f31b98d570c98e6f

Observation 219fd979-cda6-41c7-8214-9af4b86a4154 · inbound

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption cites this paper.

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:13.264345Z

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=2026-05-08T08:05:16.202493Z digest=sha256:7d88f1b75aacc17b8168213506ed82c30d58c91f10a6d081ac551c8eb0632675