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Paper Citation Record · LEDGER

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.14715.

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

pith.paper-citation-record.v1
2507.14715 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:56:30.816936Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:38:08.380452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:43:13.858150Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy33
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be8e7d13-90c1-472c-9c44-1fb4ee70c9df · outbound

This paper cites GPT-4 Technical Report.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-06T15:56:24.980597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3de6aae3-11ba-4a61-a173-c799b939d94a · outbound

This paper cites AMD FidelityFX Super Reso- lution.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems AMD FidelityFX Super Reso- lution

Reference 2

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raw_fallback, observed 2026-08-06T15:56:37.263583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 919343aa-6c69-4a9f-870d-4cc209e9549d · outbound

This paper cites AMD Radeon texttrademark RX ,7900 ,XTX graphics card.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems AMD Radeon texttrademark RX ,7900 ,XTX graphics card

Reference 3

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raw_fallback, observed 2026-08-06T15:56:37.114142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 40f5c8ff-bf4f-4251-8492-da09dc42b580 · outbound

This paper cites AMD Ryzen ™ AI – Windows PCs with AI Built In.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems AMD Ryzen ™ AI – Windows PCs with AI Built In

Reference 4

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raw_fallback, observed 2026-08-06T15:56:36.960580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.236635Z digest=sha256:aa3b5d1b1b98fdc4586f3fbfa543c9a6d4de12c55b847d51fdbe083894eb9a34

Observation bdeefe91-0e40-4282-883f-b0bdca9c1b98 · outbound

This paper cites RyzenAI-SW: AMD Ryzen ™ AI Software.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems RyzenAI-SW: AMD Ryzen ™ AI Software

Reference 5

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raw_fallback, observed 2026-08-06T15:56:36.835876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.335275Z digest=sha256:1b10f3393896f7b8e6863fa187837e1cce16d5cac1c8b05fcd2420eadaf4552a

Observation dc5637ef-504b-417b-a00d-2ca337b66071 · outbound

This paper cites Apple reveals M3 Ultra,taking Apple silicon to a new extreme.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Apple reveals M3 Ultra,taking Apple silicon to a new extreme

Reference 6

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raw_fallback, observed 2026-08-06T15:56:36.657300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.407396Z digest=sha256:72083f4a18013a0a6341b137c0e4ba05462bdbca5b00ffefe1c9eac194823c9d

Observation 0603c2cc-93c4-4b31-8feb-7e4de74c42e0 · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Self-rag: Learning to retrieve, generate, and critique through self-reflection

Reference 7

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raw_fallback, observed 2026-08-06T15:56:36.470066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.511079Z digest=sha256:750bcb810a743d7018c9d52229d78cae1a7c42490e6c52ec8eead86d022fab26

Observation 73badf1b-4866-4091-98b6-c8efb2fb2871 · outbound

This paper cites Map-and-conquer: Energy- efficient mapping of dynamic neural nets onto heterogeneous mpsocs.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Map-and-conquer: Energy- efficient mapping of dynamic neural nets onto heterogeneous mpsocs

Reference 8

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raw_fallback, observed 2026-08-06T15:56:36.319611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.598842Z digest=sha256:0b4adfa377e2b0aafff3174c3cb88343c43d1dd77ba776b471d682e2aa1ac722

Observation af09688d-4291-414c-9fc0-4b920ebaccd9 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T15:56:36.165350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.681560Z digest=sha256:5047add805564d1367b7d9800ee51001619eb25c2162fb1b941622c0998b7f28

Observation aa4cd5af-1c5c-4b67-b9ef-dc7603ba45bf · outbound

This paper cites Large language models and games: A survey and roadmap.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Large language models and games: A survey and roadmap

Reference 10

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raw_fallback, observed 2026-08-06T15:56:35.967508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:25.855176Z digest=sha256:ba6289c606ea4d9cb2b5ac28700780ed7d09d6152cc6fe9de5fb31189e45e01d

Observation 87a847a4-5be7-40f9-8b1c-6f017cdc7e8f · outbound

This paper cites Planaria: Dynamic architecture fission for spatial multi-tenant acceleration of deep neural networks.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Planaria: Dynamic architecture fission for spatial multi-tenant acceleration of deep neural networks

Reference 11

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raw_fallback, observed 2026-08-06T15:56:35.785796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:26.068791Z digest=sha256:1f1dbb2a22ac405d849f522db1da4371ce2ba1b690f45c0ce368252e4adce0a7

Observation 46db38dd-b42d-48ca-86ae-16810433d2fc · outbound

This paper cites The Llama 3 Herd of Models.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems The Llama 3 Herd of Models

Reference 12

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no resolver link, observed 2026-08-06T15:56:26.272107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:26.272107Z digest=sha256:89542acc532f0b9bafc6a72b44d6a7c8a03ae9a1fd222df4748cc3ea45eea55a

Observation 0ebf5418-5395-42b6-8df7-5c4affde64a7 · outbound

This paper cites Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T15:56:35.588893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:26.487107Z digest=sha256:7b2a3a00795b6e4f1ac5d687801a82ff179ca01887ed34b8da0ffd52ab6693a4

Observation a3e6e965-1aab-4677-9833-b220705da4c2 · outbound

This paper cites Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models

Reference 14

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no resolver link, observed 2026-08-06T15:56:26.660302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:26.660302Z digest=sha256:dba9f1cccc769835c102c4a72760503909ba446656f48978103c176c8ea976bb

Observation faa378dc-0cb3-4fc9-9330-95c7666b2544 · outbound

This paper cites Dream: A dynamic scheduler for dynamic real-time multi-model ml workloads.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Dream: A dynamic scheduler for dynamic real-time multi-model ml workloads

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T15:56:35.420678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:26.821426Z digest=sha256:b8ccc283f6b0ac1fc30d001b8fcff4ae09b818e780f606ca492a0ede71659517

Observation 9a2a1bff-25f2-47c9-bfeb-4c775949f213 · outbound

This paper cites Heterogeneous dataflow accelerators for multi-dnn workloads.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Heterogeneous dataflow accelerators for multi-dnn workloads

Reference 16

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raw_fallback, observed 2026-08-06T15:56:35.261027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:26.961631Z digest=sha256:8e79a6f448772c61051b7ba4c236f86a70996a1b11f934a2df7d9cb1d862b505

Observation 1cfdf721-a739-48e8-b0f9-35c9b097b137 · outbound

This paper cites Xrbench: An extended reality (xr) machine learning benchmark suite for the metaverse.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Xrbench: An extended reality (xr) machine learning benchmark suite for the metaverse

Reference 17

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raw_fallback, observed 2026-08-06T15:56:35.089960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:27.083514Z digest=sha256:3556731beb9b517ecabeef652c80cff53779e6f3d84759199e5fccf6d3dd1e3b

Observation b917220a-72cb-44bd-b94b-92702df21cfa · outbound

This paper cites {InfiniGen}: Efficient generative inference of large language models with dynamic {KV} cache management.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems {InfiniGen}: Efficient generative inference of large language models with dynamic {KV} cache management

Reference 18

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raw_fallback, observed 2026-08-06T15:56:34.881866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:27.174273Z digest=sha256:d14f607bc19dd279fb13e1f8ab4cdd96672bd0f1e11790097357ab73a8b7191b

Observation d9aacde2-9126-42d3-a5d9-ba875ef0ca8e · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 19

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raw_fallback, observed 2026-08-06T15:56:34.702655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:27.310061Z digest=sha256:5b2c794b7b7379e56b21dd7c8ef249bc1ae136136d57bc4290795e5f0a428077

Observation 4a09bccf-4d77-482e-b5df-693285594c33 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 20

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no resolver link, observed 2026-08-06T15:56:27.449372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:27.449372Z digest=sha256:daead5ea73b02b1f13b3371ac77d6ee064ab2260a53a554d042268ac12e11a94

Observation da9e040c-3cfd-4f34-87c5-f8a082eac7c5 · outbound

This paper cites Efficient Heterogeneous Video Segmentation at the Edge.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Efficient Heterogeneous Video Segmentation at the Edge

Reference 21

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local_arxiv, observed 2026-08-06T15:56:31.477978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:27.676553Z digest=sha256:11de7289e65ccd5436d0e21828b0fe0fc553bb5ef1a52787e772b5cc8372689b

Observation 2ee92845-bd9b-4e44-b294-1767f82e65e8 · outbound

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

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 22

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raw_fallback, observed 2026-08-06T15:56:34.522726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:27.854167Z digest=sha256:453b099f3bf95e2f1faddeafbd469adfd5b9c0faf7e56b96a64b3bb4b80cf78d

Observation 9cf0bc0a-6981-466f-b9b3-dedd85f0d102 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Swin transformer: Hierarchical vision transformer using shifted windows

Reference 23

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no resolver link, observed 2026-08-06T15:56:27.952801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:27.952801Z digest=sha256:9adddbf6557e5b080a852a16def7f03f85e4fa2b5532e6786799486a16b797e0

Observation e049f6d4-91cc-4290-aa7d-d443a0399aad · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems MediaPipe: A Framework for Building Perception Pipelines

Reference 24

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no resolver link, observed 2026-08-06T15:56:28.072392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:28.072392Z digest=sha256:f1533baad981c39c11fd2765a7dafab4efc856c15b2c7fdcbf5750e53de50756

Observation ba5a8974-bf16-4dd6-adf8-68e17b0427ec · outbound

This paper cites AI Tools for Organizations | Microsoft Copilot.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems AI Tools for Organizations | Microsoft Copilot

Reference 25

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raw_fallback, observed 2026-08-06T15:56:34.325532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.165135Z digest=sha256:efa0faca18afa347b5447b1239a061f2341cd26c7496b62fc2f7e3f7d9672eac

Observation fe405991-d4c0-41d0-b94c-a3c336f7076d · outbound

This paper cites Virtual Meeting Backgrounds and Background Blur | Teams.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Virtual Meeting Backgrounds and Background Blur | Teams

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:34.162868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.249771Z digest=sha256:f2b222c672157018d96facb1b441c592c632109bf2d84043663d1ac46d9cd29f

Observation 99354e4e-9647-4132-aa7d-a6e13386e8ac · outbound

This paper cites microsoft/onnxruntime -genai: Generative ai extensions for onnx runtime.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems microsoft/onnxruntime -genai: Generative ai extensions for onnx runtime

Reference 27

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raw_fallback, observed 2026-08-06T15:56:34.000884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.348146Z digest=sha256:ccf4a012dad78f296dc64e098445e4bcdeba3ed73488e0f4d46811435ee4e54a

Observation a8070b82-781b-4468-a161-15367a62b045 · outbound

This paper cites Enhancing Teams Video Quality with Super Resolu- tion.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Enhancing Teams Video Quality with Super Resolu- tion

Reference 28

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verified exact
raw_fallback, observed 2026-08-06T15:56:31.304573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.467225Z digest=sha256:618d5e5aede12b45a62e5e50832ebebecb9162408f0b99d398456b563f9deddc

Observation dc2a689b-54da-4110-8b24-3543e9c9189d · outbound

This paper cites Vitis AI Execution Provider.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Vitis AI Execution Provider

Reference 29

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raw_fallback, observed 2026-08-06T15:56:33.835814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.596172Z digest=sha256:3fdf08cce859b40b903b609a3818e7c6666ac5d67b94beca527b98dbbb4773dd

Observation 33f63724-3c9d-42c1-9386-42d3aeddf2f4 · outbound

This paper cites Windows - DirectML Execution Provider.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Windows - DirectML Execution Provider

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T15:56:33.672466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.722251Z digest=sha256:630ba905ab535a61bc04c12de7dc64de6fdffbb9a94150a3dd85dd8412cae389

Observation b0a338e5-a292-412f-90bb-3b1cd991615c · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Generative agents: Interactive simulacra of human behavior

Reference 31

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no resolver link, observed 2026-08-06T15:56:28.824171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:28.824171Z digest=sha256:600928912f6fe59f5c90b39954ad24da92f2a0b084e43f82b51278587c87f758

Observation b7ce6633-f340-4a29-9e23-816d6dcd627c · outbound

This paper cites Laptops, Desktops & Tablets | Snapdragon.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Laptops, Desktops & Tablets | Snapdragon

Reference 32

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raw_fallback, observed 2026-08-06T15:56:33.493734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:28.929453Z digest=sha256:6188bae939526dbc2ec200e31b2097ada4cba1e8613e8f464cde38dc59c846ab

Observation ba4f0820-0e84-45a0-9197-2b12ebd57466 · outbound

This paper cites Best AI PCs: Exploring the Next Generation of Computing.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Best AI PCs: Exploring the Next Generation of Computing

Reference 33

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raw_fallback, observed 2026-08-06T15:56:33.345593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:29.044800Z digest=sha256:74dcf3ff1060a68066ecac9b366429d2df462fa336919fc8d7c4944138fc0db9

Observation 825a08e1-1ad3-4a24-9000-f61303e2a6c1 · outbound

This paper cites Softmap: Software-hardware co-design for integer-only softmax on associative processors.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Softmap: Software-hardware co-design for integer-only softmax on associative processors

Reference 34

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raw_fallback, observed 2026-08-06T15:56:33.177220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d756751b-21cf-4262-b6cc-04ed717a6689 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems YOLOv3: An Incremental Improvement

Reference 35

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no resolver link, observed 2026-08-06T15:56:29.265526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:29.265526Z digest=sha256:c69e5e273058666f8dcb365e82911a93350fb06266bcac7fe78865edc06f56ab

Observation cf7c97a5-3d06-41fc-bf32-91a7307ce7d8 · outbound

This paper cites Onnx runtime.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Onnx runtime

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:33.081637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a4f624d6-98f7-496e-83a3-1c8ad13bc766 · outbound

This paper cites Flexgen: High-throughput generative inference of large language models with a single gpu.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Flexgen: High-throughput generative inference of large language models with a single gpu

Reference 37

Resolution
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raw_fallback, observed 2026-08-06T15:56:32.975261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:29.460548Z digest=sha256:7e42cbad5102117c8f01dfd9e940cccfcbf499fe91119493aaa6226d2bd4a4db

Observation e94e1c76-572c-4d79-a5bd-f1f2c0332005 · outbound

This paper cites Introducing Streamlabs’ New Intelligent Streaming Assistant in Collaboration with NVIDIA and Inworld AI.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Introducing Streamlabs’ New Intelligent Streaming Assistant in Collaboration with NVIDIA and Inworld AI

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T15:56:32.755361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:29.571200Z digest=sha256:3715ceaa085362333fd547de206aace2e4b07e05222c92556ac8e2c110f824db

Observation afae59ad-1265-4fb2-9a5f-6380eae24c7e · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Diffusion Models Are Real-Time Game Engines

Reference 39

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no resolver link, observed 2026-08-06T15:56:29.736654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:29.736654Z digest=sha256:ad44ad993a21f0bec63d6f088935e0064923fb19a6c5aa95f3025ecfee4c1841

Observation 0b2aea14-5fd8-41e8-a440-3ed9253e8162 · outbound

This paper cites Attention is all you need.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Attention is all you need

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:29.894032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:29.894032Z digest=sha256:2592fc9b5f27774b7b90ad1b45ac77f985905659931a373df0be5d4070878633

Observation c524a0fb-c795-4060-85d2-cf11b1a13006 · outbound

This paper cites Pointpainting: Sequential fusion for 3d object detection.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Pointpainting: Sequential fusion for 3d object detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:32.592320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:30.040106Z digest=sha256:ef98cb2548891c65a7c8fea883e6471b1434bccd6164d957f88f7a15b0da8c80

Observation 739b0c4f-4e1c-4734-b4f2-2ac521c3cfa7 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems OPT: Open Pre-trained Transformer Language Models

Reference 42

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unresolved
no resolver link, observed 2026-08-06T15:56:30.179649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:30.179649Z digest=sha256:feb2d5bc1a472f9d3eb38eebf1c874d7eb32cfddbc5746471a4078e78612e2ae

Observation 200d41ab-b889-45ab-895a-efbc2783b800 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Image super-resolution using very deep residual channel attention networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:32.365548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:30.289638Z digest=sha256:7adad4dbbde71f307dbb85f11f11aae3fe3655efd38dc63f107af8900c7a7069

Observation 2fc643ad-7104-415f-b826-825c1aa0bc44 · outbound

This paper cites Using blurred background – Zoom.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Using blurred background – Zoom

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:32.137919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:30.449749Z digest=sha256:2c18a7374a9751adf0f52e9253773a0234b04574cf315b94978a52d7fb1df8dd

Observation 4fbcff60-779d-446e-b095-85100c92cbd7 · outbound

This paper cites Using gesture recognition – Zoom.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Using gesture recognition – Zoom

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:31.927263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:30.623050Z digest=sha256:41b648ee6d65b0881e23b3f265c275f620425bfd0ea1437d8fef77c08a0e1e77

Observation aa1bbfbe-1257-45ef-a2d0-7fcc30f858f5 · outbound

This paper cites Zoom AI Assistant.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Zoom AI Assistant

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:56:31.678087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:30.816936Z digest=sha256:bff42904a111697b2551c5e67220634e6ffa32a2a2b7037d61b87b34dd292ff1

Pith citing papers

Observation 6885efd4-cbc8-483e-8ad5-982f9723776d · inbound

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling cites this paper.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems

Reference 13

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arxiv_id, observed 2026-06-29T07:43:13.859730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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