Paper Citation Record · LEDGER

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2411.08244.

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

pith.paper-citation-record.v1
2411.08244 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:51:53.829961Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:58:19.975935Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:58:20.284574Z

Reference resolution

36 of 36 outbound references displayed

verified exact3
verified fuzzy20
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45f0908e-240a-4abe-b799-5a12d0751163 · outbound

This paper cites FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:51:54.047121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bdb4ab77-afb4-414c-a2bc-cc04d9c01920 · outbound

This paper cites Language models for online depression detection: A review and benchmark analysis on remote interviews.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Language models for online depression detection: A review and benchmark analysis on remote interviews

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.669949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79824e8b-255d-483d-9468-2f285916c029 · outbound

This paper cites When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:51:54.026968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1d4e9d8-ea92-494f-b6ae-d3985408f647 · outbound

This paper cites Privacy issues in large language models: A survey, 2023.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Privacy issues in large language models: A survey, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.450481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9413a066-1052-4ba5-b613-abfa6bc11e74 · outbound

This paper cites Embracing large language models for medical appli- cations: Opportunities and challenges.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Embracing large language models for medical appli- cations: Opportunities and challenges

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.436093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46ce3f11-f0b8-41a7-8b8c-096255d5d624 · outbound

This paper cites Can large language models be good companions? an llm-based eyewear system with conversational common ground, 2023.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Can large language models be good companions? an llm-based eyewear system with conversational common ground, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.421707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 624b52b1-db71-4acc-bd5b-9ac8d7afb6bf · outbound

This paper cites Personal llm agents: Insights and survey about the capability, efficiency and security, 2024.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Personal llm agents: Insights and survey about the capability, efficiency and security, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.406466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f82687c7-7926-4e79-8a61-38938e2fa67c · outbound

This paper cites Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.700620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81f0bc23-a841-4d76-8f49-db8feff54f6c · outbound

This paper cites Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.705212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1df41f8-c269-4cab-a1f0-f3523f94bf02 · outbound

This paper cites Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.709981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc43395-1479-4264-b2c3-1e52648cfc39 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.714992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc504eb-cd04-4e2f-9770-a446da4bf93a · outbound

This paper cites DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.720335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4caab6b3-81eb-40e3-b29f-94ff42a4a3a6 · outbound

This paper cites PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.725495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865e366c-7131-451c-a569-57c894b6fed6 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.729940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330dfcd8-7bee-4f6f-a7f0-a9cd139e6242 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.734667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79fc790a-ea39-40c6-936c-a6d35ed4668b · outbound

This paper cites Ferroelectric compute-in-memory annealer for combinatorial optimization problems.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Ferroelectric compute-in-memory annealer for combinatorial optimization problems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.391868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 998c2eb4-16b7-4932-8267-78ea5ff356f8 · outbound

This paper cites A crossbar array of magnetoresistive memory devices for in-memory computing.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs A crossbar array of magnetoresistive memory devices for in-memory computing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.745011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47704d3a-3ff6-4a67-a8ba-c306ab0d6680 · outbound

This paper cites A compute-in-memory chip based on resistive random-access memory.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs A compute-in-memory chip based on resistive random-access memory

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.369153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62ab764a-6de7-40dd-8bdc-28163e49aa5d · outbound

This paper cites The future of ferroelectric field-effect transistor technology.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs The future of ferroelectric field-effect transistor technology

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.355425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0755687-e17b-4655-b4fe-7440a95940af · outbound

This paper cites Swim: Selective write-verify for computing-in-memory neural accelerators.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Swim: Selective write-verify for computing-in-memory neural accelerators

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.341891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 537e0bb0-6403-443a-96f6-4ac4e6b7f6c5 · outbound

This paper cites Uncertainty modeling of emerging device based computing- in-memory neural accelerators with application to neural architecture search.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Uncertainty modeling of emerging device based computing- in-memory neural accelerators with application to neural architecture search

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.327909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea9a9508-5b5b-4f05-ac57-36ace3f647db · outbound

This paper cites Signal and noise extraction from analog memory elements for neuromorphic computing.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Signal and noise extraction from analog memory elements for neuromorphic computing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.313692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9228a07c-9f46-4e6d-929c-d63576a5d87e · outbound

This paper cites On the reliability of computing-in-memory accelerators for deep neural networks.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs On the reliability of computing-in-memory accelerators for deep neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.299020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff688744-d7d9-46b7-bcca-ceaca98247cf · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.775252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f2346b-bcf9-401b-ae7d-c9d5d5c9b868 · outbound

This paper cites Text similarity estimation based on word embeddings and matrix norms for targeted marketing.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Text similarity estimation based on word embeddings and matrix norms for targeted marketing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.283432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e5e1d08f-9f3b-422c-b8eb-66d528bc71f7 · outbound

This paper cites From word embeddings to pre-trained language models: A state-of-the-art walkthrough.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs From word embeddings to pre-trained language models: A state-of-the-art walkthrough

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.269582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e924376e-ef0f-4d66-a5d8-e1695804f9d0 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.788312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b10c531-d4c1-4ebe-93e4-ee9eea6e8027 · outbound

This paper cites Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:51:53.871048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6869326-cd5a-47d7-8aae-69574d6e8b3c · outbound

This paper cites Fully hardware-implemented memristor convolutional neural network.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Fully hardware-implemented memristor convolutional neural network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.255231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5bc9bd68-1441-4517-9c64-eea67e275857 · outbound

This paper cites Architecture-circuit-technology co-optimization for resistive random access memory-based computation-in-memory chips.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Architecture-circuit-technology co-optimization for resistive random access memory-based computation-in-memory chips

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.240991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62b3d589-a134-4fc7-a278-2fd12f57e921 · outbound

This paper cites Switching pathway-dependent strain-effects on the ferroelec- tric properties and structural deformations in orthorhombic hfo2.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Switching pathway-dependent strain-effects on the ferroelec- tric properties and structural deformations in orthorhombic hfo2

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.127987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7062846-becd-4a00-925b-3668a2fdfc7a · outbound

This paper cites Rouge: A package for automatic evaluation of sum- maries.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Rouge: A package for automatic evaluation of sum- maries

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:53.811969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad30537c-956f-43d6-b748-a0eac66a377d · outbound

This paper cites Cxdnn: Hardware-software compensation methods for deep neural networks on resistive crossbar systems.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Cxdnn: Hardware-software compensation methods for deep neural networks on resistive crossbar systems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.104676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55e863a2-3b7c-47b6-9275-49c750c274b4 · outbound

This paper cites Correctnet: Robustness enhancement of analog in- memory computing for neural networks by error suppression and com- pensation.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Correctnet: Robustness enhancement of analog in- memory computing for neural networks by error suppression and com- pensation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.089545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba0afc39-d0d5-4180-b85a-24d5ed505513 · outbound

This paper cites Learning binary codes for maximum inner product search.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Learning binary codes for maximum inner product search

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.075567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32d5d28c-e1da-47fb-a75a-a9eb462c5401 · outbound

This paper cites Dnn+ neurosim v2.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Dnn+ neurosim v2

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:51:54.061992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation d352fe30-9af2-4a9f-ad32-654d02ee4c2c · inbound

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge cites this paper.

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:58:20.291466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.