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Paper Citation Record · LEDGER

PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning

As of 9 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2507.01216.

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

pith.paper-citation-record.v1
2507.01216 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:05:24.004870Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:47:51.503478Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf955ef1-9cda-45de-bc2f-6cbef57c8c78 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T21:05:24.000481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:05:24.000481Z digest=sha256:f891ca21f10cb62a34ec5ed0759c7ec92fd3e5ecc1a7f8d7021da348a5b0c7bb

Observation 8b22fe1b-740f-4705-a1a6-be6dd0db1e04 · outbound

This paper cites In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16, 698–714.

PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16, 698–714

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:05:24.071641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:05:24.004870Z digest=sha256:77b12368d8ab44f43bc846fe39e445102cd9baa524def4ca0e787a264d389d3c

Observation fdf75146-43d9-403e-a297-5168c3509d9d · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:05:23.994993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:05:23.994993Z digest=sha256:624e333bf9c622ddc987662be6a7b3ca8c57930a583c6217f7fca0abe1d4d519

Pith citing papers

Observation 0081fb05-e2c7-4088-a1af-c36ffa71978e · inbound

MobileFineTuner: A Mobile-Native Framework for On-Device LLM Fine-Tuning in Real-World Embedded AI Applications cites this paper.

MobileFineTuner: A Mobile-Native Framework for On-Device LLM Fine-Tuning in Real-World Embedded AI Applications PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T17:47:51.503478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:47:51.503478Z digest=sha256:6e357cb46079533fc2875f17995c39cf021bd12ecff96b078c413a70e89e6cec