Paper Citation Record · LEDGER

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2412.15352.

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

pith.paper-citation-record.v1
2412.15352 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:33:29.915480Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:49:04.191036Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:49:05.289918Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy21
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b7f2dea-d749-43e1-b3d8-b84656193dc1 · outbound

This paper cites Generative ai,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Generative ai,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.912369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5534ee69-be06-4660-a329-543a8013e438 · outbound

This paper cites A Survey of Large Language Models.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs A Survey of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.429759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27749a7b-92da-43ee-b308-e6c1ab504b11 · outbound

This paper cites Generative ai and chatgpt: Applications, challenges, and ai-human collaboration,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Generative ai and chatgpt: Applications, challenges, and ai-human collaboration,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.488566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36fe20cf-16bc-43e9-9e1b-b836877eeb61 · outbound

This paper cites Pre-trained language models and their applications,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Pre-trained language models and their applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.838028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8e7b802-87e5-4e6e-a21d-93ab01e89aea · outbound

This paper cites Chatgpt and open-ai models: A preliminary review,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Chatgpt and open-ai models: A preliminary review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.603566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207e6959-3378-4bc1-a55d-42618d093e59 · outbound

This paper cites LLMCad: Fast and Scalable On-device Large Language Model Inference.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.609712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2b8b1c-d525-4906-b944-4a2673b9c3ab · outbound

This paper cites Embedded ai perfor- mances of nvidia’s jetson orin soc series,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Embedded ai perfor- mances of nvidia’s jetson orin soc series,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.716040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0dbfecdb-c3cf-40ff-aed3-37546b872399 · outbound

This paper cites High-level frame- works: Effect on transformer inference time and power on embedded gpu devices,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs High-level frame- works: Effect on transformer inference time and power on embedded gpu devices,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.652411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f783a8b0-8a90-40d8-b05d-52f4b42a79e1 · outbound

This paper cites Improving the efficiency of transformers for resource-constrained de- vices,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Improving the efficiency of transformers for resource-constrained de- vices,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.640072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2c3a966-9412-4169-98e4-96c015df6412 · outbound

This paper cites Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.631261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62b93ce2-9fe4-4c1f-914f-fa940e04b044 · outbound

This paper cites Tensorrt-based framework and optimiza- tion methodology for deep learning inference on jetson boards,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Tensorrt-based framework and optimiza- tion methodology for deep learning inference on jetson boards,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.626914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 339a0ac5-ffb7-4be6-8b6a-a3961d26b0a4 · outbound

This paper cites Adaptive deep learning model selection on embedded systems,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Adaptive deep learning model selection on embedded systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.613301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 280c5855-28bf-4264-8122-03200430fb02 · outbound

This paper cites Evosh: Evolution- ary search with shaving to enable power-latency tradeoff in deep learning computing on embedded systems,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Evosh: Evolution- ary search with shaving to enable power-latency tradeoff in deep learning computing on embedded systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.602621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0860760-a95b-491a-9691-9660ba0ce4db · outbound

This paper cites Sparsification and separation of deep learning layers for constrained resource inference on wearables,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Sparsification and separation of deep learning layers for constrained resource inference on wearables,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.590737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97d26248-5b5e-4d0b-9dcd-e904ffef88b7 · outbound

This paper cites Rstensorflow: GPU enabled tensorflow for deep learning on commodity android devices,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Rstensorflow: GPU enabled tensorflow for deep learning on commodity android devices,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.517049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1397daf0-ce39-4314-9345-ee9e25702ae9 · outbound

This paper cites Flightllm: Efficient large language model inference with a complete mapping flow on fpgas,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Flightllm: Efficient large language model inference with a complete mapping flow on fpgas,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.468419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df530e51-b9dd-4b72-acc4-8d0825bd70e3 · outbound

This paper cites Deep learning with edge computing: A review,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Deep learning with edge computing: A review,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.845089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb81384-bdea-4233-9bbe-253f3e0b51b4 · outbound

This paper cites Edge assisted real-time object detection for mobile augmented reality,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Edge assisted real-time object detection for mobile augmented reality,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.441753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b872ebc-af41-498a-8893-16d6b59d970a · outbound

This paper cites Deepdecision: A mobile deep learning framework for edge video analytics,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Deepdecision: A mobile deep learning framework for edge video analytics,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.429443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eece0fe8-67c7-4f84-882b-8cbadfc18eaf · outbound

This paper cites Efficient large language models: A survey,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Efficient large language models: A survey,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.417318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92aa72c8-5f1b-4981-8682-416b206c05fb · outbound

This paper cites AWQ: activation-aware weight quantization for on-device LLM compression and acceleration,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs AWQ: activation-aware weight quantization for on-device LLM compression and acceleration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.404603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 294bfa1e-44ff-4c1f-b807-a4196d2ebd54 · outbound

This paper cites Sheared llama: Accelerating language model pre-training via structured pruning,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Sheared llama: Accelerating language model pre-training via structured pruning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.389447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29560bd2-84de-4c91-b0f3-eee3429dae19 · outbound

This paper cites ”Jetson AGX Orin Developer Kit User Guide”.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs ”Jetson AGX Orin Developer Kit User Guide”

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.313343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4274f3e9-0618-4549-ba61-b39bf0abc6cf · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.877769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca156da-5294-4219-a83e-ca4d62cf81cb · outbound

This paper cites Accessed: 2024-08-20.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Accessed: 2024-08-20

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.213521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b67384e9-1da5-43ed-bb09-ca83030b6556 · outbound

This paper cites an unresolved cited work.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:33:30.201929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db4d7f16-1cdd-4cea-85a1-44e10439640c · outbound

This paper cites Accessed: 2024-08-20.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Accessed: 2024-08-20

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.189442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03d21bf0-89c7-4f2c-877c-5ee87cf7943f · outbound

This paper cites an unresolved cited work.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:33:30.177684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79983628-c938-4f16-bd73-99460353d9e7 · outbound

This paper cites A framework for few-shot language model evaluation,.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs A framework for few-shot language model evaluation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.901192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7a5e46-c7c8-4bac-96f0-d29865777bb2 · outbound

This paper cites Accessed: 2024-09-10.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Accessed: 2024-09-10

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.155832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4a77b93-eb7d-4e82-9fe0-de870afc41d8 · outbound

This paper cites Accessed: 2024- 09-10.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Accessed: 2024- 09-10

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:30.142327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5aa98cf7-830f-4a7c-ab88-e59b4e02ea25 · outbound

This paper cites Available: https://zenodo.org/records/12608602.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Available: https://zenodo.org/records/12608602

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.906401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 550cf011-0485-43ba-8ed4-d1302fef8095 · inbound

Understanding the Performance and Power of LLM Inferencing on Edge Accelerators cites this paper.

Understanding the Performance and Power of LLM Inferencing on Edge Accelerators Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:49:05.357455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.