Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:07:59.024285Z
Paper Citation Record · LEDGER
On the Sustainability of AI Inferences in the Edge
As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.23093.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T12:28:38.809950Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T12:30:00.230060Z
Reference resolution
38 of 38 outbound references displayed
- verified exact2
- verified fuzzy32
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d3034478-becb-4d31-9273-b8d3eb99eb83 · outbound
This paper cites pcamp: Performance comparison of machine learning packages on the edges,.
On the Sustainability of AI Inferences in the Edge pcamp: Performance comparison of machine learning packages on the edges,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.695703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation baa58b39-56cd-4107-9a68-297ba13c4693 · outbound
This paper cites Deep learning for edge computing applications: A state-of-the-art survey,.
On the Sustainability of AI Inferences in the Edge Deep learning for edge computing applications: A state-of-the-art survey,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.679290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 46b83ca5-1e84-4a12-acf2-7c5308b801ec · outbound
This paper cites Green edge ai: A contemporary survey,.
On the Sustainability of AI Inferences in the Edge Green edge ai: A contemporary survey,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.664180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c9d6d4f1-ec41-4e2f-8e71-505fa9b6dac9 · outbound
This paper cites Edgellm: A highly efficient cpu-fpga heterogeneous edge accelerator for large language models,.
On the Sustainability of AI Inferences in the Edge Edgellm: A highly efficient cpu-fpga heterogeneous edge accelerator for large language models,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.650199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0df9d38f-d2b6-478b-bc36-8fb1c42ecd42 · outbound
This paper cites Green ai: do deep learning frameworks have different costs?.
On the Sustainability of AI Inferences in the Edge Green ai: do deep learning frameworks have different costs?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:07:58.896872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d66dcac6-2174-4bd8-9ca7-6fe9c128b8f2 · outbound
This paper cites Edge devices inference performance comparison,.
On the Sustainability of AI Inferences in the Edge Edge devices inference performance comparison,
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-06T11:07:59.059669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c44f7cd3-fe95-4431-bf2d-d2a8caba8eb6 · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.635716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f3c0f441-fb59-4dc9-a5fa-d63448586bc1 · outbound
This paper cites Tinyml: Enabling of inference deep learning models on ultra-low-power iot edge devices for ai applications,.
On the Sustainability of AI Inferences in the Edge Tinyml: Enabling of inference deep learning models on ultra-low-power iot edge devices for ai applications,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.622269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 76705211-25d2-4bf0-916f-fc8fe52be2d2 · outbound
This paper cites Optimizing large language models for edge devices: A comparative study on reputation analysis,.
On the Sustainability of AI Inferences in the Edge Optimizing large language models for edge devices: A comparative study on reputation analysis,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.609533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 684f8e8a-a2b8-4e88-88f0-1083161e1b39 · outbound
This paper cites Enabling deep learning on iot edge: Approaches and evaluation,.
On the Sustainability of AI Inferences in the Edge Enabling deep learning on iot edge: Approaches and evaluation,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.596063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 675332d6-0296-4f7e-8b2f-3ed2a58768b9 · outbound
This paper cites Large Language Models: A Survey.
On the Sustainability of AI Inferences in the Edge Large Language Models: A Survey
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:07:58.920464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ced9d39-f03b-43c9-9093-28843cf64007 · outbound
This paper cites A survey of federated learning for edge computing: Research problems and solutions,.
On the Sustainability of AI Inferences in the Edge A survey of federated learning for edge computing: Research problems and solutions,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.582305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e27f004d-d387-4cd2-a3f6-29dd5a523478 · outbound
This paper cites Litert overview | google ai edge | google ai for developers,.
On the Sustainability of AI Inferences in the Edge Litert overview | google ai edge | google ai for developers,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.568822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 32e9fc3d-b232-4dc8-8676-b59e7c9337e2 · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.554120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 91b872f4-364a-4a43-bcbe-2d3942bfe12b · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.540429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 52a6e4a9-4e18-4605-9565-b094d725a518 · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.526977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cccd1dab-f630-4581-90bc-72eaddd9671e · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.513775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a1ba51c1-c15e-471b-a59c-5ed46ed943de · outbound
This paper cites The carbon footprint of machine learning training will plateau, then shrink,.
On the Sustainability of AI Inferences in the Edge The carbon footprint of machine learning training will plateau, then shrink,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.500733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e6a4b1c7-de5c-4f4c-b89e-6ec211499c2d · outbound
This paper cites Deep learning: Edge-cloud data analytics for iot,.
On the Sustainability of AI Inferences in the Edge Deep learning: Edge-cloud data analytics for iot,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.487304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e420c032-96f7-4fb2-bc7d-45d76354e350 · outbound
This paper cites DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge.
On the Sustainability of AI Inferences in the Edge DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:07:59.097378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 09e339dd-26dd-4613-8d3b-302929859ad7 · outbound
This paper cites Understanding the Performance and Power of LLM Inferencing on Edge Accelerators.
On the Sustainability of AI Inferences in the Edge Understanding the Performance and Power of LLM Inferencing on Edge Accelerators
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:07:58.959186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc110ec3-90fa-41fc-b2a9-a0f60f8c1736 · outbound
This paper cites Raspberry Pi,.
On the Sustainability of AI Inferences in the Edge Raspberry Pi,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.474763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 032fb7e4-2dbd-440e-b735-48462c1f7211 · outbound
This paper cites Enhanced visual intelligence at the network edge,.
On the Sustainability of AI Inferences in the Edge Enhanced visual intelligence at the network edge,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.462243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6645db12-9549-42a8-a454-cf276f6be692 · outbound
This paper cites Intel Neural Compute Stick 2,.
On the Sustainability of AI Inferences in the Edge Intel Neural Compute Stick 2,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.449218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6c453345-0a40-4801-9142-715d13b7e1b1 · outbound
This paper cites USB Accelerator,.
On the Sustainability of AI Inferences in the Edge USB Accelerator,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.436640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ae8ef584-5739-41d4-b12d-70e8801ff9f9 · outbound
This paper cites NVIDIA Jetson Nano,.
On the Sustainability of AI Inferences in the Edge NVIDIA Jetson Nano,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.423800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 18390b4c-0de5-4ad7-9848-4c41ac509a10 · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.411271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 83839d9e-588c-4ecc-a924-bfdf1c1163d4 · outbound
This paper cites Accessed: 2025-07-15.
On the Sustainability of AI Inferences in the Edge Accessed: 2025-07-15
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.398949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 63df5543-c78d-48a3-91e5-ac39d1057fa9 · outbound
This paper cites NVIDIA TensorRT,.
On the Sustainability of AI Inferences in the Edge NVIDIA TensorRT,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.384914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5700ab49-2eda-496a-a05c-e3e49bd2b620 · outbound
This paper cites Openvino ir format,.
On the Sustainability of AI Inferences in the Edge Openvino ir format,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.371625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d3a04a4b-9b31-4e87-9489-746d85891e0a · outbound
This paper cites an unresolved cited work.
On the Sustainability of AI Inferences in the Edge Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T11:07:59.358517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 78820cc5-a439-4a62-bd6a-08fb4bc35392 · outbound
This paper cites imagenet,.
On the Sustainability of AI Inferences in the Edge imagenet,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.345060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8aea0f90-5018-4908-a27b-4c62f3dfab72 · outbound
This paper cites Glue: A multi-task benchmark and analysis platform for natural lan- guage understanding,.
On the Sustainability of AI Inferences in the Edge Glue: A multi-task benchmark and analysis platform for natural lan- guage understanding,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.331271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 430b4bd6-66af-4472-b376-04ab6e809f5a · outbound
This paper cites Openassistant conversations – democra- tizing large language model alignment,.
On the Sustainability of AI Inferences in the Edge Openassistant conversations – democra- tizing large language model alignment,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.315973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bb4b3135-03c5-4f7f-a884-c9351d2a1a4d · outbound
This paper cites Ac- cessed: 2025-07-17.
On the Sustainability of AI Inferences in the Edge Ac- cessed: 2025-07-17
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.302432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a37cd55c-6ff6-4720-9002-232d4d212b9a · outbound
This paper cites Save and load models | tensorflow core,.
On the Sustainability of AI Inferences in the Edge Save and load models | tensorflow core,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.289171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f6f73137-c65b-4b6d-b015-6146752248e4 · outbound
This paper cites TinyBERT: Distilling BERT for natural language understanding,.
On the Sustainability of AI Inferences in the Edge TinyBERT: Distilling BERT for natural language understanding,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.274930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4f202a6d-9599-4133-a20f-a33599d9b73f · outbound
This paper cites Llm-inference- bench: Inference benchmarking of large language models on ai acceler- ators,.
On the Sustainability of AI Inferences in the Edge Llm-inference- bench: Inference benchmarking of large language models on ai acceler- ators,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:59.261663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
Observation 9363acab-2707-422f-81ba-0f3d8ac15f72 · inbound
Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows cites this paper.
Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows On the Sustainability of AI Inferences in the Edge
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:30:00.233660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.