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Paper Citation Record · LEDGER

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.17538.

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

pith.paper-citation-record.v1
2506.17538 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:08.525600Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved17
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cde39ea9-3663-4bc1-b523-0935bc8fc729 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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no resolver link, observed 2026-08-06T23:35:07.874863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:07.874863Z digest=sha256:08da2f8daac116c2a0487d77cd8ad551c5fb60ddc3dbe7f328b10b3c78267c21

Observation 28b5ee08-c002-4da0-8d15-325bfd25ebb1 · outbound

This paper cites Llama 3.2 3b: Multilingual large language model.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Llama 3.2 3b: Multilingual large language model

Reference 2

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raw_fallback, observed 2026-08-06T23:35:11.447991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.879699Z digest=sha256:87488e7fed9fee4ed6539353b147a329377ded32ab335c65db8914dd1b2951cd

Observation e773bc3d-5dfa-4253-85ad-1d31b08d60df · outbound

This paper cites Gemini nano with the google ai edge sdk, 2025.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Gemini nano with the google ai edge sdk, 2025

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.889714Z digest=sha256:e10fd997f2fb1c206b67d20dcfb1b46389febe5f51e276ed6ff026e5d6f7e553

Observation c8f67efc-530b-49ff-a96c-07fa91246b3a · outbound

This paper cites Introducing apple intelligence, the personal intelligence system that puts powerful generative models at the core of iphone, ipad, and mac, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Introducing apple intelligence, the personal intelligence system that puts powerful generative models at the core of iphone, ipad, and mac, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.895122Z digest=sha256:c4f13286637cebaa8b58c5f7690ec7d389103a3e28cb7ec13101c32c3b91f8e8

Observation 76dd08f9-1e7f-4b6e-aecf-619bbb5c75a1 · outbound

This paper cites Macbook pro 14- and 16-inch – technical specifications, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Macbook pro 14- and 16-inch – technical specifications, 2024

Reference 5

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raw_fallback, observed 2026-08-06T23:35:11.114741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.905457Z digest=sha256:058a156a7e2a34028c3916b5efd3f491f3e7aca5842c21f2490386c6d8b036c3

Observation baacd431-efe3-4d64-9801-73ccfb2abeee · outbound

This paper cites Stable diffusion web ui, 2022.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Stable diffusion web ui, 2022

Reference 6

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raw_fallback, observed 2026-08-06T23:35:10.996045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.909039Z digest=sha256:dffc315e5a49de0da01c5ea37b684a6d4148576a5a85247eab903c8c30804f21

Observation 9347a45a-7d67-466c-bac9-2146d4dd075a · outbound

This paper cites Litellm: Python sdk and proxy server for unified llm access, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Litellm: Python sdk and proxy server for unified llm access, 2024

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.912661Z digest=sha256:5b94538e475060926faf970f8bd0d9d5b7f367fca9f03a3a8c5962e3b70e844a

Observation 5996b7d4-9872-45ff-b2e3-035f19a2db1b · outbound

This paper cites Lawrence Zitnick.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Lawrence Zitnick

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:07.924821Z digest=sha256:8b51cb58709db5456b03aee228554022e2a3377aefa64effae07770076136198

Observation 7b88a351-a19f-4a72-8696-e59b770af7c3 · outbound

This paper cites Intel ® performance counter monitor.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Intel ® performance counter monitor

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.957468Z digest=sha256:a582384952452c2d422569d7ea2bd2ded5d89c46b11f825f29c00d768c7ea5da

Observation a67070c9-8d7b-48dd-92e5-6f6608948195 · outbound

This paper cites Nvidia data center gpu manager (dcgm).

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Nvidia data center gpu manager (dcgm)

Reference 10

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.971332Z digest=sha256:e70fd78f4b2edc95eb31204fe311936fc4b3db7081de0a326f4bf271c787621e

Observation c0f921b6-8b3c-4321-aa2c-49713e493dcc · outbound

This paper cites Nvidia multi-process service (mps).

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Nvidia multi-process service (mps)

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.975645Z digest=sha256:77fa2e78b3eecff130ceb6c343af9b8491ece5c7f3773ace95d321ad56527d17

Observation 6ee18a91-9d1f-4f8b-9540-b9fb4fb12f81 · outbound

This paper cites Earnings-21: A Practical Benchmark for ASR in the Wild.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Earnings-21: A Practical Benchmark for ASR in the Wild

Reference 12

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source=pdf_text observed=2026-08-06T23:35:07.979254Z digest=sha256:4eaaeca5fdc48a5b67c01026af3f406346e2d998d8aab845df8f270df4887700

Observation b78d1334-309e-4073-84c5-30964e61bacc · outbound

This paper cites Mobile-bench: An evaluation benchmark for llm-based mobile agents, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Mobile-bench: An evaluation benchmark for llm-based mobile agents, 2024

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:07.983617Z digest=sha256:a2be5dbcf933579a6f5edbc37387227117b0849eafc59c5aa2ea97c4897f9fc1

Observation e87c369b-2c7a-47b9-ba63-37f3659551cc · outbound

This paper cites Qlora: Efficient finetuning of quantized llms, 2023.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Qlora: Efficient finetuning of quantized llms, 2023

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:07.987826Z digest=sha256:00141b9c23a7b440c14784057bc02a90310509671e2d03d2f32a44c9903a515f

Observation 2354a223-8ced-4898-86af-edb7739e766c · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers, 2023.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Gptq: Accurate post-training quantization for generative pre-trained transformers, 2023

Reference 15

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source=pdf_text observed=2026-08-06T23:35:07.995563Z digest=sha256:28d2eb6cc8f04ead030680aad17d0a25ec585383ebc397bfe7ffe9722d18cbe4

Observation d4539482-5036-497d-a329-2a3494cb477f · outbound

This paper cites llama.cpp: Llm inference in c/c++, 2023.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices llama.cpp: Llm inference in c/c++, 2023

Reference 16

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raw_fallback, observed 2026-08-06T23:35:10.397935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.009958Z digest=sha256:cf56c8b41a669d31174509a15a0f10d82938049f310af7fbb401bfe95f90e266

Observation 0fae8d99-3c26-45be-9a39-84add379d777 · outbound

This paper cites Stabletoolbench: Towards stable large-scale benchmarking on tool learning of large language models, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Stabletoolbench: Towards stable large-scale benchmarking on tool learning of large language models, 2024

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.018242Z digest=sha256:a1e0cdfcb4c9b2a57df75bcec89573fa4221ba93700b175615cd7eec1112f528

Observation eaa80891-6721-44ac-b9e5-84a0615bef5b · outbound

This paper cites A critical review of large language models: Sensitivity, bias, and the path toward specialized ai.Quantitative Science Studies, 5(3):736–756, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices A critical review of large language models: Sensitivity, bias, and the path toward specialized ai.Quantitative Science Studies, 5(3):736–756, 2024

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.024340Z digest=sha256:36425716392d0c9db164e9c50544d047c86353f227dc703d27e106e7f0071638

Observation 786b1042-65f1-4c67-beeb-4d22b307a4b2 · outbound

This paper cites Microsecond-scale preemption for concurrent GPU-accelerated DNN inferences.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Microsecond-scale preemption for concurrent GPU-accelerated DNN inferences

Reference 19

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.032130Z digest=sha256:d30a70571d5984af2c1201de681efa447c0bae98a6a44c2a7fd4a468e80d9d17

Observation 465b8c39-805d-4b41-900e-8a0ce14715ec · outbound

This paper cites Hybrid slm and llm for edge- cloud collaborative inference.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Hybrid slm and llm for edge- cloud collaborative inference

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.036690Z digest=sha256:ba7db17a1be3246291ca1b6142b1f76fd2998c5717757a3360fef52a84d69f67

Observation dce1f626-b9f7-4edc-92fe-598e7176e6c1 · outbound

This paper cites Searching for mobilenetv3.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Searching for mobilenetv3

Reference 21

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source=pdf_text observed=2026-08-06T23:35:08.052383Z digest=sha256:a223d90f5fc7b984230dd4549e81f13817598bbfc1a92b51ac81fab50659e0d4

Observation 3a004605-7fa7-42b1-b88d-84c559243a56 · outbound

This paper cites Running average power limit (rapl) energy reporting.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Running average power limit (rapl) energy reporting

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.062991Z digest=sha256:fe3d8f8baaa656b9d8f3c3ad1ca23c479f7d59b59db0a242f535eb6feccf0c39

Observation 915e4c92-6a8d-4b9e-9d4a-ed966c555a1b · outbound

This paper cites Benchmarking edge ai platforms for high-performance ml inference, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Benchmarking edge ai platforms for high-performance ml inference, 2024

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.085308Z digest=sha256:177b9bced44e5e832373438af7a511c126f6b43eaa89edbee874f833f05dc862

Observation 35ef2d87-3a53-4021-a0f4-522ecb46ad5a · outbound

This paper cites Melting point: Mobile evaluation of language transformers, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Melting point: Mobile evaluation of language transformers, 2024

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.111273Z digest=sha256:4bd68ae72b49f7060f857687c9d5468f103a7eccb958d2ac5db01bb966e40ed9

Observation 3b55ec8f-95c5-4918-bec5-8d3999c6f136 · outbound

This paper cites Api-bank: A comprehensive benchmark for tool-augmented llms, 2023.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Api-bank: A comprehensive benchmark for tool-augmented llms, 2023

Reference 25

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source=pdf_text observed=2026-08-06T23:35:08.115170Z digest=sha256:97f40546dd167e88afa96c1d94f0c92a4150b5e14eaf3cca7165cbb5daa1fff0

Observation 28024f20-52eb-4a0f-84cb-abe5028f7f5c · outbound

This paper cites Snapfusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Processing Systems, 36:20662–20678, 2023.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Snapfusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Processing Systems, 36:20662–20678, 2023

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.145362Z digest=sha256:5a2686b8c55a4f5116e8a0a1745d64a78965265f21ed8cc51dfcdc9526d1b15b

Observation 01fabfdb-64ae-4271-b5e0-e3d959e29e4c · outbound

This paper cites Palmbench: A comprehensive benchmark of compressed large language models on mobile platforms, 2025.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Palmbench: A comprehensive benchmark of compressed large language models on mobile platforms, 2025

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.167609Z digest=sha256:beb6ba5eafb240b9729b96d0d3f686c00020de8b03f647b490fa3025af0fad13

Observation 1334d925-e154-45be-82be-fdc07c27ab99 · outbound

This paper cites Awq: Activation-aware weight quantization for llm compression and acceleration, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Awq: Activation-aware weight quantization for llm compression and acceleration, 2024

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:08.183025Z digest=sha256:13e23a6430e430b8b431e9dcfce1ba5e67109fd13494618b8a95584d98d3771e

Observation 6344b794-dfc0-401e-8af2-abd8daee2be0 · outbound

This paper cites Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services

Reference 29

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source=pdf_text observed=2026-08-06T23:35:08.205979Z digest=sha256:238a83417b9e50bc36dda6ca8018d9b9d1fcd35b9b06388f9eb8d54913446776

Observation ddbfa408-e3da-4ca7-933e-bbb29155d3f0 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices AgentBench: Evaluating LLMs as Agents

Reference 30

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source=pdf_text observed=2026-08-06T23:35:08.219056Z digest=sha256:8090deb1fe98c821389cb2cbd7500dbf3cbc6578c6d6aa4358b8e19408ad8d98

Observation 06bec722-e593-490c-a7d6-e231c08d4aba · outbound

This paper cites Turning whisper into real-time transcription system.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Turning whisper into real-time transcription system

Reference 31

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raw_fallback, observed 2026-08-06T23:35:09.782187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.225512Z digest=sha256:e0bd616b8ccb22c8c4d470ac796a90d5710e71bbda2b42584aed6045f945cf1d

Observation 0cdb84b0-1598-4ed4-8d54-007157ffb5dc · outbound

This paper cites AIOS: LLM Agent Operating System.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices AIOS: LLM Agent Operating System

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:08.232724Z digest=sha256:d9c138a6b01421b3711dc1802cc731ffdc9298771e521dd0e74897eb9263c70c

Observation 53e6cc89-c86c-407b-aff9-e3e5e49c1ace · outbound

This paper cites Mo- bileaibench: Benchmarking llms and lmms for on-device use cases, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Mo- bileaibench: Benchmarking llms and lmms for on-device use cases, 2024

Reference 33

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raw_fallback, observed 2026-08-06T23:35:09.734939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.236656Z digest=sha256:71f4228d4ed27198bf6df94429f628c317c82e8dc777c6a2ef284094e93b863a

Observation 3bd499e5-a156-45b3-a383-1e695d9a1237 · outbound

This paper cites Green contexts - cuda driver api.https://docs.nvidia.com/cuda/cuda-driver- api/group__CUDA__GREEN__CONTEXTS.html, 2025.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Green contexts - cuda driver api.https://docs.nvidia.com/cuda/cuda-driver- api/group__CUDA__GREEN__CONTEXTS.html, 2025

Reference 34

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raw_fallback, observed 2026-08-06T23:35:09.719280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.243999Z digest=sha256:5c96af0706357e26ccc521403c041fb285d776aafafeb05d6e5817c66f282083

Observation 33c5e2d9-9fae-4d3e-8d5c-66f4092f8fd5 · outbound

This paper cites Nvidia multi-instance gpu (mig).

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Nvidia multi-instance gpu (mig)

Reference 35

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raw_fallback, observed 2026-08-06T23:35:09.709628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.249870Z digest=sha256:e868caa68cd99162ca4e2e947605b26db258f4be3d80ffee32e75b4ea9b111f1

Observation eb6c69c4-669f-4ce6-9d67-df8d29eface8 · outbound

This paper cites NVIDIA, August 2018.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices NVIDIA, August 2018

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.697207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.254675Z digest=sha256:814ebf8d03b6ee50f580337acba306829c40aa4856e16efb1676a4e69089d380

Observation 617db296-5dfd-4086-a702-e4406c6941cb · outbound

This paper cites Nvidia management library (nvml).https://developer.nvidia.com/ management-library-nvml, 2025.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Nvidia management library (nvml).https://developer.nvidia.com/ management-library-nvml, 2025

Reference 37

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raw_fallback, observed 2026-08-06T23:35:09.673523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.261596Z digest=sha256:7e02a291da9d560eda039d7e308d08fd5eda96a4fb8b173437eac3cf56a23c09

Observation 27655bf3-4c5d-4d7f-8648-ec4755a315d6 · outbound

This paper cites an unresolved cited work.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:09.661521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.267144Z digest=sha256:cd563601cda626223cbcd99ff103e0a7a270417d8ccd4e72238b4a5807ffefc8

Observation a16a33a5-8583-47f5-8dc6-e813d90c3996 · outbound

This paper cites Attention u-net: Learning where to look for the pancreas.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Attention u-net: Learning where to look for the pancreas

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.612494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.275550Z digest=sha256:38d6bd49f41de57101b21d3f2994198f043ae0c68eed4a8d1f20ff76553b04fa

Observation 335c40c3-d47d-40cc-98ef-5f0f9ecc52c9 · outbound

This paper cites Openai api, 2020.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Openai api, 2020

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.494745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.289722Z digest=sha256:f6c7accf87476f229b645c6368868f81678c847482b7a5fc9e6255eb4df6a18f

Observation bcf9b970-33b6-4c9c-979b-45b7b5c71914 · outbound

This paper cites Memgpt: Towards llms as operating systems.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Memgpt: Towards llms as operating systems

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:08.293738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:08.293738Z digest=sha256:0755f081280a671fd87df8bd01a327a1b541833e1b7b3ca821b4859808241248

Observation 57e1adcc-bd4e-4c8e-b7f7-34586eb35c56 · outbound

This paper cites Snapdragon x elite product brief.https://www.qualcomm.com/ content/dam/qcomm-martech/dm-assets/documents/Product-Brief-Snapdragon- X-Elite.pdf, October 2023.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Snapdragon x elite product brief.https://www.qualcomm.com/ content/dam/qcomm-martech/dm-assets/documents/Product-Brief-Snapdragon- X-Elite.pdf, October 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.354812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.324748Z digest=sha256:e011b281f1faba9d28652e331233790407fc115b5e97427954270ca6f7023159

Observation 69d4e83f-fa2c-43d8-8301-0fca857564da · outbound

This paper cites Robust speech recognition via large-scale weak supervision, 2022.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Robust speech recognition via large-scale weak supervision, 2022

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:08.348765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:08.348765Z digest=sha256:9fe1193e11aa36e2ce29e5c9cb6c0b892ccbbba08c19062bd7f5ed37b4cc659f

Observation fa917fc4-c001-4d64-8250-d22fa0659983 · outbound

This paper cites Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.194749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.353500Z digest=sha256:41017c8d6821fe34ee2c1f07d6fbcecdf6175e670bb0a8903a53fb165f688b96

Observation e4a9fc49-1da4-472f-8389-ebf13cd5c93b · outbound

This paper cites ‘smolagents‘: a smol library to build great agentic systems.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices ‘smolagents‘: a smol library to build great agentic systems

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.142377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.365430Z digest=sha256:0617ffb7f23dbed6ff78639abcc377195dfc7cc9cd211df053e8919c6bb87ebd

Observation cfbab400-b993-4b3a-b075-e22fb4ac73a1 · outbound

This paper cites Specialist or generalist? instruction tuning for specific NLP tasks.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Specialist or generalist? instruction tuning for specific NLP tasks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.130918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.382089Z digest=sha256:0bcb1b41e635bb690a244df18c09d533ad470191ea8a6f8ce88a602f7cf82c42

Observation 591bc2a7-5b8e-4b80-8acc-1c1fa7bc6be8 · outbound

This paper cites Orion: Interference-aware, fine-grained gpu sharing for ml applications.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Orion: Interference-aware, fine-grained gpu sharing for ml applications

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.110780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.388624Z digest=sha256:138210d4848e4d67f09c0f0fa76d79e77dfc6dc93cce9d79304382e9e507b4c5

Observation 3a242025-dc8f-40d9-9dde-4ca905e0a5a6 · outbound

This paper cites Stable diffusion 3.5 medium turbo, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Stable diffusion 3.5 medium turbo, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.099289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.401453Z digest=sha256:8de534db4eb3b447ddec072033f2f372981c371cec79eac8936cd9d347469ae1

Observation fe64f7fa-9c24-45dd-8613-9dc5a900243c · outbound

This paper cites Large language model performance benchmarking on mobile platforms: A thorough evaluation.arXiv preprint arXiv:2410.03613, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Large language model performance benchmarking on mobile platforms: A thorough evaluation.arXiv preprint arXiv:2410.03613, 2024

Reference 49

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unresolved
no resolver link, observed 2026-08-06T23:35:08.404936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:08.404936Z digest=sha256:2930180c1f81a72a3355a2f016d719ec36cfbcf4d19abc50b1586e56c5037ab2

Observation 3f0f6806-6b7e-4941-af00-4d9cc7736351 · outbound

This paper cites Crab: Cross-environment agent benchmark for multimodal language model agents, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Crab: Cross-environment agent benchmark for multimodal language model agents, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.088830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.408716Z digest=sha256:65e2bd5ecf62a2051e27e1b727fd25d49312a35ce248f1e6065eab4cdaecc60c

Observation fbcf175f-d9cc-443e-bcb2-9af5d7e80549 · outbound

This paper cites Qwen2.5 Technical Report.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Qwen2.5 Technical Report

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:08.415971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:08.415971Z digest=sha256:a99590d3ae73ee3e2628c71881a3141bb8db4b390ef8ae50c744ae558f5e6e14

Observation 83d26fd9-e693-43f2-adc4-66fee72e734f · outbound

This paper cites an unresolved cited work.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:08.428862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:08.428862Z digest=sha256:2d06519a46da7a608f135066f1acd40fcc46b7506145907e968f1d03c861d02d

Observation 962cde96-9f27-4109-84d9-44b2587edb6a · outbound

This paper cites Faaswap: Slo-aware, gpu-efficient serverless inference via model swapping, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Faaswap: Slo-aware, gpu-efficient serverless inference via model swapping, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.061990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.439718Z digest=sha256:b20f202da90a13417a205bda3318de64b3cac1bec0214bf97b76ad85f01d0daa

Observation 6c152d9f-d345-4b9a-8461-a9b88ae2c5af · outbound

This paper cites Mobilediffusion: Instant text-to-image generation on mobile devices, 2024.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Mobilediffusion: Instant text-to-image generation on mobile devices, 2024

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.049211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.454747Z digest=sha256:2defc677870b1e384aec70081bd14515e36c2bc74f054842bb339bcaaaf60118

Observation 2c87434d-288d-4128-b60f-ec78dcac9d7d · outbound

This paper cites brainstorm.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices brainstorm

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:09.022722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:08.525600Z digest=sha256:11b831377bc8e60f88a790977604be321575d52c198a5b23b6a43267fbaa123f

Observation 59b42814-11c4-4acd-bada-538cfadc42cf · outbound

This paper cites an unresolved cited work.

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Unresolved cited work

Reference 2025

Resolution
parse uncertain
no resolver link, observed 2026-08-06T23:35:07.965408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:07.965408Z digest=sha256:ef45f1929e2797ccd719058da5e152d7f4206e94ff111ff28c1cb6c41bf0afe0

Pith citing papers

No inbound Pith citation observations are available.