Paper Citation Record · LEDGER

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2505.02795.

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

pith.paper-citation-record.v1
2505.02795 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:19:12.409278Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:58:06.025426Z

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 9ecd958f-a29d-44b3-9bea-b4ea6e5120c1 · inbound

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems cites this paper.

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:12.409278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab74fb9-34f4-4b58-9292-26e491c79ca7 · inbound

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation cites this paper.

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:29.630236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bbbee3-a8d1-4537-88ec-f34ed9ac1369 · inbound

A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation cites this paper.

A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:40.928721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2313cca9-3260-4a6d-a2f0-3feb276b864e · inbound

PHandover: Parallel Handover in Mobile Satellite Network cites this paper.

PHandover: Parallel Handover in Mobile Satellite Network HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:38.802663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80d0c145-c18d-4df9-bb1c-5d500ecd7f4a · inbound

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring cites this paper.

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T21:14:36.167606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 044d148c-8c73-4f1f-9f57-0d7be1200d1e · inbound

Optimizing Split Federated Learning with Unstable Client Participation cites this paper.

Optimizing Split Federated Learning with Unstable Client Participation HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:26:33.751108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 98da791a-9cdb-4e9c-9ea2-5a44a35f315e · inbound

HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST cites this paper.

HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:56:31.689948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1706cc11-de11-4fcc-9502-5c2b14a9440a · inbound

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems cites this paper.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.093371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c97dc2-b0f9-4ef3-b926-b7e85f030f92 · inbound

SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression cites this paper.

SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:50.510480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6003ee26-bbfe-4756-8740-bdaf1b18f96c · inbound

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification cites this paper.

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.628913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7bedd72-9edb-459a-aabf-9809872d0018 · inbound

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations cites this paper.

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:13.972814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 131cecf8-f19e-43b8-8f41-4dcc2415d211 · inbound

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT cites this paper.

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:58:06.027153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.