Paper Citation Record · LEDGER

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.15758.

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

pith.paper-citation-record.v1
2406.15758 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:30.419355Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:41:53.566643Z

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 9944860c-d4ae-42f8-bfa0-4ac7fc69473b · inbound

When IoT Meet LLMs: Applications and Challenges cites this paper.

When IoT Meet LLMs: Applications and Challenges EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:58:52.660151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2647dc-de31-4975-92cf-0b3532afae0a · inbound

Adaptive Pruning for Large Language Models with Structural Importance Awareness cites this paper.

Adaptive Pruning for Large Language Models with Structural Importance Awareness EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:41.581736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265d87f0-0bfe-476f-a8a2-f312a8279205 · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-08T12:20:08.460205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17473658-fe77-4607-b547-eedb01301e03 · inbound

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions cites this paper.

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:30.419355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94330cc7-8d05-49a8-8d41-dbe980d5b3e6 · inbound

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration cites this paper.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:21.452363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f06f825-f157-4a98-af88-4d21c403b183 · inbound

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits cites this paper.

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:18.832902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b2da94-378e-4065-a5ad-daaddf1fe5c5 · inbound

Orchestration for Domain-specific Edge-Cloud Language Models cites this paper.

Orchestration for Domain-specific Edge-Cloud Language Models EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.437289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6a4c23-7a1d-468b-b268-886d1dad7942 · inbound

Talk with the Things: Integrating LLMs into IoT Networks cites this paper.

Talk with the Things: Integrating LLMs into IoT Networks EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:41:53.572491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.