Paper Citation Record · LEDGER

Offsite-Tuning: Transfer Learning without Full Model

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2302.04870.

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

pith.paper-citation-record.v1
2302.04870 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:50.717596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:35:46.109639Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ec829da9-d0b4-4f07-9c87-9fde568fb2fd · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Offsite-Tuning: Transfer Learning without Full Model

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:37.109803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8717ad3-2f86-4d77-9c56-0d0ad8b65374 · inbound

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment cites this paper.

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Offsite-Tuning: Transfer Learning without Full Model

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:35:46.112811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33cd0778-1850-48a2-b679-6e61413a1f79 · inbound

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression cites this paper.

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression Offsite-Tuning: Transfer Learning without Full Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T16:46:03.501606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81ac49d-6ff7-4a18-99dc-8d6e17a81b53 · inbound

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training cites this paper.

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training Offsite-Tuning: Transfer Learning without Full Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:42.923827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa0d868-e8b5-42ef-9d8e-6dd1dba52c5c · inbound

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions cites this paper.

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Offsite-Tuning: Transfer Learning without Full Model

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-16T12:28:50.717596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40ceb06-56c4-4ea1-9e0d-097122db45b4 · inbound

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks cites this paper.

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Offsite-Tuning: Transfer Learning without Full Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T10:44:46.261726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b12c2171-8902-4417-8077-a83e47f51525 · inbound

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models cites this paper.

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Offsite-Tuning: Transfer Learning without Full Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:31:27.284044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2f83a6e-0002-4dd5-8c95-f16df783b58a · inbound

FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning cites this paper.

FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning Offsite-Tuning: Transfer Learning without Full Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:15:59.614829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea9242d-a19c-4c16-8760-22ac95ddc7bb · inbound

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models cites this paper.

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models Offsite-Tuning: Transfer Learning without Full Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T05:55:56.667840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7261a1c6-85f6-413d-b75e-b6e44e88514d · inbound

Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs cites this paper.

Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs Offsite-Tuning: Transfer Learning without Full Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:21.660873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5558ad-e363-4e58-a988-d8d55d92d8c2 · inbound

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models cites this paper.

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models Offsite-Tuning: Transfer Learning without Full Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:52:35.653920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b782e171-c48c-4618-aa8d-9b0db3d661f7 · inbound

Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library cites this paper.

Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library Offsite-Tuning: Transfer Learning without Full Model

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T15:59:59.428089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dee7ccf-7f06-4855-88fc-314c27679a15 · inbound

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage cites this paper.

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage Offsite-Tuning: Transfer Learning without Full Model

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:27.555174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a3e9c3-b3d2-458a-9dd4-8727ec07a9ba · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Offsite-Tuning: Transfer Learning without Full Model

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:05.966978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0861dc2-94d1-4938-a675-52c702929913 · inbound

How Context Attribution Handles What the Model Already Knows cites this paper.

How Context Attribution Handles What the Model Already Knows Offsite-Tuning: Transfer Learning without Full Model

Reference 169

Resolution: unresolved; no resolver link, observed 2026-07-30T12:03:28.596693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.