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Paper Citation Record · LEDGER

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.18171.

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

pith.paper-citation-record.v1
2607.18171 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:52:51.864296Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

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  • unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb63a61d-7296-4769-9631-a9767d2e3eb5 · outbound

This paper cites Claude code overview.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Claude code overview

Reference 1

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source=pdf_text observed=2026-08-01T15:52:50.095551Z digest=sha256:9be768fb9fea73846a3b23b75c42aa6bce24725fdcf62da655d04195c947768e

Observation 13bf5ff1-f7c1-4eb4-a02e-a6b6deadcb18 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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source=pdf_text observed=2026-08-01T15:52:50.229168Z digest=sha256:357cbc8241c2381bec1495c6a9327544041c6e4a57f8af2e770cf8f7fcc23360

Observation d7afd109-e03b-430e-afad-4aa8dd049f5c · outbound

This paper cites Advancing Open-source World Models.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Advancing Open-source World Models

Reference 6

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source=pdf_text observed=2026-08-01T15:52:50.492778Z digest=sha256:1f8dfa772b814474442d4b55842bb0f0a537806bbe891d54dd29d25cf910b5c6

Observation 544739b6-4cd5-4c5b-bb8f-171011aec928 · outbound

This paper cites Qwen3-TTS Technical Report.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Qwen3-TTS Technical Report

Reference 7

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source=pdf_text observed=2026-08-01T15:52:50.576581Z digest=sha256:b1dba3c911fb9c1962185cdb424c01540425e2040be7d5e583e92e1e7e2d1970

Observation 77db1961-1acb-400c-8bed-8f1132319d5b · outbound

This paper cites Beyond Data and Model Parallelism for Deep Neural Networks.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Beyond Data and Model Parallelism for Deep Neural Networks

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:52:50.669816Z digest=sha256:27c11d9ae3ea35aa344ffca9116a3b1beb9f3556aab8bb7cc4dc6d6e8824d502

Observation fb045bea-d087-4a98-b158-9ee4f4f82b19 · outbound

This paper cites Cornfigurator: Automated Planning for Any-to-Any Multimodal Model Serving.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Cornfigurator: Automated Planning for Any-to-Any Multimodal Model Serving

Reference 12

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source=pdf_text observed=2026-08-01T15:52:50.939070Z digest=sha256:cd2a3406d5a064dc9120f2c753de4d3a15a0d06f4ce4ee152bd68ac57fb94e9a

Observation 12681304-9b4a-4e1e-9551-de80f05244c4 · outbound

This paper cites Krea realtime 14b: Real-time video generation, 2025.https://github.com/krea-ai/realtime-video.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Krea realtime 14b: Real-time video generation, 2025.https://github.com/krea-ai/realtime-video

Reference 13

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T15:52:50.998264Z digest=sha256:5d9134514d137c3731e469413cc8ec4a8dbf35da47859cbbe4350d8713e2fff9

Observation 1bbfb2e3-5bd2-4cfb-b3f8-9975c2f2a0ef · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:52:51.056200Z digest=sha256:4d9f19707829140aec1f83733e3315ba9a39d0a474a54b95a87aca3e82e7e9e1

Observation 9b5b649a-2a97-410a-a4c9-7066bf3c77e6 · outbound

This paper cites KernelBench: Can LLMs Write Efficient GPU Kernels?.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 15

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T15:52:51.105375Z digest=sha256:df82a51473283d4941d61e34c0ab65766592c3559e64db28cc066a8cddbc6641

Observation d0cb7ae5-557b-42b8-8b86-08d2876d59ec · outbound

This paper cites ModServe: Scalable and resource-efficient large multimodal model serving.arXiv preprint arXiv:2502.00937,.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications ModServe: Scalable and resource-efficient large multimodal model serving.arXiv preprint arXiv:2502.00937,

Reference 16

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source=pdf_text observed=2026-08-01T15:52:51.183903Z digest=sha256:f154d4024d4de1d2abfa1be2e3c053f6e97712e5f6273d360359dde5932bc059

Observation be2d0bd3-ed51-44f4-9f59-792e38fcd503 · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 17

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source=pdf_text observed=2026-08-01T15:52:51.239863Z digest=sha256:512a0e9e88d20d960a6863dcf695505a6f61e7ba3bd22f72dead8071a46fdd84

Observation dbb289b5-2f84-4868-ada3-48d377ceb175 · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 19

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source=pdf_text observed=2026-08-01T15:52:51.375297Z digest=sha256:a7425300e84bb3cd1fb260200ab452346d46920d2897ea05579c207134510716

Observation b3fc6c06-2e90-405c-a6cf-bf2c67fbef0d · outbound

This paper cites AwareCompiler: Agentic context-aware compiler optimization via a synergistic knowledge-data driven framework.arXiv preprint arXiv:2510.11759,.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications AwareCompiler: Agentic context-aware compiler optimization via a synergistic knowledge-data driven framework.arXiv preprint arXiv:2510.11759,

Reference 20

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source=pdf_text observed=2026-08-01T15:52:51.452036Z digest=sha256:9a075b0b6842ded8589884adac155e691e557836d61fe5c4e1bbdfd87cf96cb5

Observation 5722fad4-cb57-4b8a-9762-fe27430f4c5b · outbound

This paper cites Astra: A multi-agent system for GPU kernel performance optimization.arXiv preprint arXiv:2509.07506,.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Astra: A multi-agent system for GPU kernel performance optimization.arXiv preprint arXiv:2509.07506,

Reference 22

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source=pdf_text observed=2026-08-01T15:52:51.574646Z digest=sha256:b29d0b1e97586ffa45e4e56c6156fccdcc6d197d4df6fb766a0c655ec6fdfc98

Observation ea42300c-6fc1-4398-95d4-e32f4b54fd12 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 23

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source=pdf_text observed=2026-08-01T15:52:51.651131Z digest=sha256:1dfdb7cd26f8dc13db33f8b06ec1bab7c5889606ebd19ede98af709c08d38b34

Observation 69eb8b7c-af01-41d4-9527-bd37b4a22d4c · outbound

This paper cites CudaForge: An agent framework with hardware feedback for CUDA kernel optimization.arXiv preprint arXiv:2511.01884, 2025b.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications CudaForge: An agent framework with hardware feedback for CUDA kernel optimization.arXiv preprint arXiv:2511.01884, 2025b

Reference 25

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source=pdf_text observed=2026-08-01T15:52:51.758200Z digest=sha256:b5ca82d9999c11684bcc8b27306d58264ada932920435b1be74ed1c0f7258098

Observation 820bd89c-a5ba-4416-a4d3-cb2c25c59470 · outbound

This paper cites MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling

Reference 26

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source=pdf_text observed=2026-08-01T15:52:51.792816Z digest=sha256:79e6adb3f1845253612bbdd4eedc412a8d9500ad8f156ed6e95bb1c9fdaff7b1

Observation 6f21f2b9-2486-4055-9abc-d6fe4d894562 · outbound

This paper cites Its κ captures any cost of moving that state between resources.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Its κ captures any cost of moving that state between resources

Reference 27

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source=pdf_text observed=2026-08-01T15:52:51.864296Z digest=sha256:d446757a2b2e74863ae78d73db62709334f6ed946af335b2cf92ea01ec03b060

Observation dbde4259-6700-4597-bf7c-d0b50d046932 · outbound

This paper cites AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 1977

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source=pdf_text observed=2026-08-01T15:52:50.879063Z digest=sha256:21b828fa959dc8a4b6746d64c8414cb9f4c4383c147e9f285cca67340fc4955d

Observation 5d0eec75-95dd-45cc-9add-727370f6a4d0 · outbound

This paper cites LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation

Reference 2018

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source=pdf_text observed=2026-08-01T15:52:50.403252Z digest=sha256:b8ca8623ad3a7205aa55d72b1e056971a82c6d940a71d1fe1218d3f63508215a

Observation c6a4db33-3ed8-4a15-9aa2-b4a216d9d20f · outbound

This paper cites StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

Reference 2019

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source=pdf_text observed=2026-08-01T15:52:50.720322Z digest=sha256:37aa87d4535f483134198ea19aa362ca5608709ba9dadffa49daa1006de35dfd

Observation 9c4f4719-9765-4453-9a94-95986228c380 · outbound

This paper cites GSPMD: General and Scalable Parallelization for ML Computation Graphs.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications GSPMD: General and Scalable Parallelization for ML Computation Graphs

Reference 2021

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source=pdf_text observed=2026-08-01T15:52:51.714965Z digest=sha256:b2d4c3f82cbfbacde87a8910fd9d42fef18376bad366df2910899f8cc16f86a1

Observation 1349b3b8-cec7-41fc-8719-ebfe7aad5297 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 2022

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source=pdf_text observed=2026-08-01T15:52:51.513734Z digest=sha256:8edb163aa130998583ff3bb0ef4093d70f0f4b6276ce12c3da538d87c26462c0

Observation cb563031-2236-4a56-b1d1-843f2dbf7b3f · outbound

This paper cites Towards robust agentic CUDA kernel benchmarking, verification, and optimization.arXiv preprint arXiv:2509.14279,.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Towards robust agentic CUDA kernel benchmarking, verification, and optimization.arXiv preprint arXiv:2509.14279,

Reference 2023

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source=pdf_text observed=2026-08-01T15:52:50.796986Z digest=sha256:df93e6eac63d45cebd2b366364e6a73ced001d71e7cb9d68c1b13b5cb01f4e57

Observation a4c52907-7ab9-4358-b9d5-1ba13760c1da · outbound

This paper cites SAM 3: Segment Anything with Concepts.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications SAM 3: Segment Anything with Concepts

Reference 2024

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source=pdf_text observed=2026-08-01T15:52:50.318800Z digest=sha256:3242a9e937bddcabd2db0629bf6140dadc03d5f2b5ea709e8ccde176367f0651

Observation c8e838f2-032c-4fd8-b861-5e53725559d9 · outbound

This paper cites Kevin: Multi-Turn RL for Generating CUDA Kernels.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Kevin: Multi-Turn RL for Generating CUDA Kernels

Reference 2025

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source=pdf_text observed=2026-08-01T15:52:50.146953Z digest=sha256:44b36970f1a3a5bd8125baae48001e1bca38d3dadebc7d2d23d79a57cb8b576f

Observation d0135b1a-0ecb-436d-a371-ef03f82e75a7 · outbound

This paper cites Qwen3-ASR Technical Report.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Qwen3-ASR Technical Report

Reference 2026

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source=pdf_text observed=2026-08-01T15:52:51.315885Z digest=sha256:4763876a75810afe9bef11e2cf7a0ca3ca49e01a1f64e967a94bdb8fa3851544

Pith citing papers

No inbound Pith citation observations are available.