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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 9 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.

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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:efbfc124bb6d3157933d0e227522aa05173f07ad86daf141b6225cbf4e52005a

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=sha256:9ef6589e92e6af1d109af15e52299c35025d6f20eaa3645272c4a5cbaf3dafba

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:d28b46a6aa75f291fdd0d88863bee3cbcfbd8cbf4060ef45dc49a948847d66c6

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=sha256:77e19f984e05fa4224878aa19768ad0627c640e219e107ec9b4bf6485d688cc4

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=sha256:3586097575207522058bb3b3ed24c85b4314db6a5aff9b90d2f3fa2238851ffa

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=sha256:3170e8b3853074633f1b07a6bbc53e5a55b0ff74f44d1e00879e09b2475a1ff6

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=sha256:21f6976fd8b65e3f48bb338af5702a6523865272e1b7f4e6f2f4242dc6f9fe07

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:e0034cac95e991fd58856e4e8f7b6926bd1473236d72a31cfb3f231bc3946e6a

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=sha256:78da6c8ebca7fe2e8b9fc7a88b7121f150109be2197a3328df56e779a480546e

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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unresolved
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=sha256:13220214b0ad1dbd2f5079b3b2b2ec3b0a0678cb7b7f5386c0b0ed4305908e16

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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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=sha256:811e77ae216ba8faa4cc940502ce318cd04001a4bdebc761c9a4baf34add35e6

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=sha256:47dd6ff5d36849eedf8c728c9c8407705ad43ccd638121f6eab0678da01c3ea7

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=sha256:88b7b401f58a3c19a360b8a21efda35802bc64bca317e797de84aaed7742bdd7

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=sha256:004b155ee31ced3b31fc2a8d401d9d28c1f64f4992261179e9cec03eb6186e66

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:ad47e44a398d5d05a3dbeb81edb4c30a722b313ec6a42ed364ac56b75361cb7e

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:b71107850addc2d9218b1917d25fc449a8bbafd4dd0f900c025ed8724018441d

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:f2d6a0a6995bd4798097e41bcf46a4d04a2c6e6ab5d90ff32c5ddee61b7f39be

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=sha256:1a8b4f6ed84adfa5b39b7e4a2a7df44802733cede6de04e394ef47c4e6fd689f

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=sha256:0a19e5b7019abbe6df4142d406b095eeafce327a3aeb90b78136e6f1ad60b1d9

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=sha256:8823536e626b5bce54cc0cbabd1c5d290fa02e71adc9059ec3bbaa22d85f9af5

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=sha256:52b4e42838420c287f8f9e64fcf588b8cea9e5b86dcd2671fad6da67838fd37b

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

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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:b572dc5a7a87da6e4c77624eaf6ccba324d302422e7332b4e2154f1831d194f3

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=sha256:3329ca45cb48046687baf06a472121e6d47253fcd98e066bedb73cd4732cdfeb

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

Resolution
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=sha256:4392fe8f08dc070725042d85b4c27e4990c112c1c3fdb0ea814fc871901d8ab4

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=sha256:63362026789d2939f6ab136e348450ec5808728946fad8bc9b0927e0e2d7e8bc

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:f158ada7dfffaed94e5dea2f0df293aa7c184774fba90b5e9f54c5e5269e2f4a

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

Resolution
unresolved
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:a6c82335425138eb5451d077784cf4582e16fa4f744facf0b80208ed6b2fbd51

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:f5759fee15619a6540cbd3c63c9645b48635f0a0de4a477423a46a376bc4a38e

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:a4b4311c56e3803d9b1cd9f4eed5747fef2d0714b486eb7fccf631ca6de30989

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

Resolution
verified fuzzy
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.

source=pdf_text observed=2026-08-06T15:56:29.162970Z digest=sha256:e784c98198a8c70a7bd9a418f0d0d4a6fc40263bae862d0105a20ab25e52ece8

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

Resolution
unresolved
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:bdd0e648fc438a073bd6abc38c51639f5eb1745f7bd1a1367f77d71af77f3fca

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.

source=pdf_text observed=2026-08-06T15:56:29.369033Z digest=sha256:260f6376e35f27a86868a1f36d590dc804747ae1037feb3b708085efe2c4fbe1

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
verified fuzzy
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=sha256:2c6c3f2fc25db0f242de245dba4c0b33ddaad1a47624bfc2a3a9c0277911fce6

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

Resolution
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:c3ce9a49f3ffa71b514ba0e03cc20b11dca9022670871f007c9fddb47713de21

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

Resolution
unresolved
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=sha256:37c873aea4fbd86c7985f34565cf8064e4a5219e1123467ab790efdcd3bcd668

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:a14ca944a4ac5bda1bf415784eb0d6209d960b7affcf3215972af24e4d66ad37

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=sha256:524a639c1977b32f966d0624161ad5fa39f24f837827e6362eb4ca4b9adbf533

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

Resolution
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=sha256:27cc0010a4f0a71856be318682883837ae9c3cf11b2df799101fa254e57ab68d

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:a160e714c1bd354deb401dbcfc29a1b6f7bde38e6e668de1a49cb50e02ff04ff

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=sha256:035c88b171a8e208da1cf6728113ecb55fbf2a1188cff969a842c346420a7705

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:bf2787347b2f8a9916a2948bb214284b72c5c5ddff9dd682bde0189963c73655

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=sha256:60faa1f7a16825d4f1c6df18700a0f692970f7f0ea2db20b9d354aea2d4c33ec

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

Resolution
verified exact
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.

source=pdf_text observed=2026-06-29T07:38:08.380452Z digest=sha256:4ab9cc59a47f37add2465eff50e4a463db4ea5a9529816d71bbf695d5826f44b