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Paper Citation Record · LEDGER

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies

As of 21 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2606.13110.

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

pith.paper-citation-record.v1
2606.13110 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T05:45:40.881267Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 58bb5467-d071-48c5-a1f0-1e5a87cbdafb · outbound

This paper cites Deep contextual video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Deep contextual video compression,

Reference 1

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Observation 76e5412d-31d1-4c9c-b93b-16371d119688 · outbound

This paper cites Canf- vc: Conditional augmented normalizing flows for video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Canf- vc: Conditional augmented normalizing flows for video compression,

Reference 2

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Observation af5aaef2-b1c9-4df0-8d61-43d7e2961eae · outbound

This paper cites Temporal context min- ing for learned video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Temporal context min- ing for learned video compression,

Reference 3

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Observation 4aadfaf8-b3a8-4a8a-a846-5a7f7bd52ce6 · outbound

This paper cites Hybrid spatial-temporal entropy modelling for neural video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Hybrid spatial-temporal entropy modelling for neural video compression,

Reference 4

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Observation 1e68bad4-2ccf-498b-b8da-447c91592d65 · outbound

This paper cites Neural video compression with diverse contexts,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Neural video compression with diverse contexts,

Reference 5

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Observation 45b1c6e9-cbfb-4e0f-91c5-608e2bae7b43 · outbound

This paper cites Neural video compression with feature modulation,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Neural video compression with feature modulation,

Reference 6

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Observation b75655b7-41da-40d5-bbf8-2e707351542c · outbound

This paper cites Towards practical real-time neural video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Towards practical real-time neural video compression,

Reference 7

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Observation 1081efe6-4902-4b20-94ad-bc7f3b514ec5 · outbound

This paper cites Maskcrt: Masked conditional residual transformer for learned video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Maskcrt: Masked conditional residual transformer for learned video compression,

Reference 8

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Observation b6a76e02-2198-4c4f-bb24-66443c86f0dc · outbound

This paper cites Hytip: Hybrid temporal information propagation for masked conditional residual video coding,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Hytip: Hybrid temporal information propagation for masked conditional residual video coding,

Reference 9

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Observation 136db2de-f6c2-4294-8593-807f7c1ed15a · outbound

This paper cites Fliqs: One- shot mixed-precision floating-point and integer quantization search,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Fliqs: One- shot mixed-precision floating-point and integer quantization search,

Reference 10

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Observation 2d69a149-7120-427b-983e-e38b80fcedd8 · outbound

This paper cites 6/1–6/26.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies 6/1–6/26

Reference 11

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Observation 040d50dc-6995-447f-b4e4-f576fb61c3af · outbound

This paper cites Ten lessons from three genera- tions shaped google’s tpuv4i : Industrial product,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Ten lessons from three genera- tions shaped google’s tpuv4i : Industrial product,

Reference 12

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Observation 1b0ed32a-a9b0-4f22-9c66-652f25cf36c7 · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it),.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies 1.1 computing’s energy problem (and what we can do about it),

Reference 13

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Observation 753079d0-166e-4993-94de-0c8dd1dd6981 · outbound

This paper cites Mobilenvc: Real-time 1080p neural video compression on a mobile device,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Mobilenvc: Real-time 1080p neural video compression on a mobile device,

Reference 14

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Observation b2f5eeb3-60cd-4b50-ba9d-4ac4c4a73734 · outbound

This paper cites Mixed-precision post- training quantization for learned image compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Mixed-precision post- training quantization for learned image compression,

Reference 15

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Observation ca1a1a4c-7cc2-4608-b7ba-62310542b388 · outbound

This paper cites Fracbits: Mixed precision quantization via frac- tional bit-widths,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Fracbits: Mixed precision quantization via frac- tional bit-widths,

Reference 16

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Observation 804e70ec-2210-4ff8-bb04-e9773d21fa84 · outbound

This paper cites Dvc: An end-to-end deep video compression framework,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Dvc: An end-to-end deep video compression framework,

Reference 17

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Observation 287930fc-00f5-4dc5-8542-f03cfb975a6f · outbound

This paper cites M-lvc: Multiple frames prediction for learned video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies M-lvc: Multiple frames prediction for learned video compression,

Reference 18

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Observation 4add7a6e-2582-4620-9a9c-c8da676a9171 · outbound

This paper cites Neural video coding using multiscale motion compensation and spatiotemporal context model,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Neural video coding using multiscale motion compensation and spatiotemporal context model,

Reference 19

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Observation 5b7b503d-79d8-4443-9b52-cd00dca9d2ed · outbound

This paper cites Scale-space flow for end-to-end optimized video compres- sion,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Scale-space flow for end-to-end optimized video compres- sion,

Reference 20

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Observation 967a05d3-3db2-41fa-803c-de61ebb77378 · outbound

This paper cites Fvc: A new framework towards deep video compression in feature space,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Fvc: A new framework towards deep video compression in feature space,

Reference 21

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Observation d2c4b60b-2327-45c2-846f-493768f61671 · outbound

This paper cites Conditional residual coding: A remedy for bottleneck problems in conditional inter frame coding,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Conditional residual coding: A remedy for bottleneck problems in conditional inter frame coding,

Reference 22

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Observation 7a0b6dd8-3a9a-4acd-9f44-2f3b842f1440 · outbound

This paper cites A White Paper on Neural Network Quantization.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies A White Paper on Neural Network Quantization

Reference 23

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Source-reported events for the cited work

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Observation 017746fe-56d5-443e-8c6c-1fe4e2e68bd8 · outbound

This paper cites An overview of the jpeg ai learning-based image coding standard,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies An overview of the jpeg ai learning-based image coding standard,

Reference 24

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Observation 0a6926c0-c6ca-435d-8a1c-bf8bc1e42c66 · outbound

This paper cites Fpx-nic: An fpga- accelerated 4k ultra-high-definition neural video coding system,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Fpx-nic: An fpga- accelerated 4k ultra-high-definition neural video coding system,

Reference 25

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Observation df85103a-cc22-4730-b338-65a64ab017a1 · outbound

This paper cites Device interop- erability for learned image compression with weights and activations quantization,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Device interop- erability for learned image compression with weights and activations quantization,

Reference 26

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Observation f47a8eff-8b01-4eb8-9cba-f9cf74ab0d10 · outbound

This paper cites Q-lic: Quantizing learned image compres- sion with channel splitting,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Q-lic: Quantizing learned image compres- sion with channel splitting,

Reference 27

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Observation b77093c8-4910-4dc6-bbc4-bf93608ff9f9 · outbound

This paper cites Flexible mixed precision quantization for learned image compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Flexible mixed precision quantization for learned image compression,

Reference 28

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Observation 12254888-2c07-4841-b239-5bbf1303a722 · outbound

This paper cites Mobilecodec: neural inter-frame video compression on mobile devices,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Mobilecodec: neural inter-frame video compression on mobile devices,

Reference 29

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Observation a8637d5e-d29b-44b8-9d3a-a477b7b9d565 · outbound

This paper cites Integer networks for data compression with latent-variable models,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Integer networks for data compression with latent-variable models,

Reference 30

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Observation ba01e096-e04e-4d50-b673-2fe1bfb09d31 · outbound

This paper cites Quantized decoder in learned image compression for deterministic reconstruction,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Quantized decoder in learned image compression for deterministic reconstruction,

Reference 31

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Observation 5b47e268-1127-4de6-8e4a-194e66760ee2 · outbound

This paper cites Cross-platform neural video coding: A case study,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Cross-platform neural video coding: A case study,

Reference 32

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Observation caff68be-9816-4973-a174-addeee296d86 · outbound

This paper cites C3: High-performance and low-complexity neural compression from a single image or video,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies C3: High-performance and low-complexity neural compression from a single image or video,

Reference 33

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Observation 7fdef5b0-9ff5-4efe-99d6-0658f5c41eb6 · outbound

This paper cites Hinerv: Video compression with hierarchical encoding-based neural representation,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Hinerv: Video compression with hierarchical encoding-based neural representation,

Reference 34

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Observation 50333790-8a4e-4d06-a1d1-d8bc616fc474 · outbound

This paper cites Mixed precision dnns: All you need is a good parametrization,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Mixed precision dnns: All you need is a good parametrization,

Reference 35

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Observation 4aead412-6c39-43ba-abb2-5323931ae244 · outbound

This paper cites Sdq: Stochastic differentiable quantization with mixed precision,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Sdq: Stochastic differentiable quantization with mixed precision,

Reference 36

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Observation 0422ccd1-a964-41c7-9bfb-e51168eccc28 · outbound

This paper cites Differentiable dynamic quantization with mixed precision and adaptive resolution,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Differentiable dynamic quantization with mixed precision and adaptive resolution,

Reference 37

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:c36887da9eb73d69f6b5cc283bd437e819a34be492e2b510919eb73d1b03fa62

Observation ab473ad1-c1c4-4feb-91da-472740343858 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 38

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verified exact
local_arxiv, observed 2026-07-03T16:28:38.820633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 630a860b-0084-4507-9913-451cbb95c265 · outbound

This paper cites Video enhance- ment with task-oriented flow,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Video enhance- ment with task-oriented flow,

Reference 39

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:4642847f831d2d70fca43a128070a87a4faab33b8962b2c940f68600a453627c

Observation d57a280e-7e05-4f51-9ea7-ba147c16360c · outbound

This paper cites Bvi-dvc: A training database for deep video compression,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Bvi-dvc: A training database for deep video compression,

Reference 40

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:6962b247fe84f5e55fe4f99d06a7a0cd085bfaf2d07d53d553126eab076d3ef3

Observation 1715cdcf-7eee-48c0-9ed7-44e6407d062d · outbound

This paper cites Working practices using objective metrics for evaluation of video cod- ing efficiency experiments,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Working practices using objective metrics for evaluation of video cod- ing efficiency experiments,

Reference 41

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:806a935b7248f7fb4699daa9a8c10f86bfef95faab81e5d15ddf1187d7513453

Observation 288fe012-0227-42fc-847e-57bec9983927 · outbound

This paper cites Uvg dataset: 50/120fps 4k sequences for video codec analysis and development,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Uvg dataset: 50/120fps 4k sequences for video codec analysis and development,

Reference 42

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:98c79778abc81b6a667cf96cd50992ff526fa7f71fc2e3141e886b5397b2355a

Observation b902fc2d-4127-421a-9c0c-fc9cab9c6885 · outbound

This paper cites MCL-JCV: a jnd-based h. 264/avc video quality assessment dataset,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies MCL-JCV: a jnd-based h. 264/avc video quality assessment dataset,

Reference 43

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:766e5754a1752533f790c9e7ce9ba5365d57f4146b4746303d8748d00e38cb5d

Observation 9b38d2c5-f4f9-4a04-afec-7f86ac6fb2e0 · outbound

This paper cites Common test conditions and software reference configurations,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Common test conditions and software reference configurations,

Reference 44

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:4567f2a234b086f27bcf167708f5c6c9c50de67f8949df5b856adb0e2216a13d

Observation d2b3b254-a0ba-43e8-ba8c-337fe4c7fefb · outbound

This paper cites Common test conditions and software reference configurations for hevc range extensions,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Common test conditions and software reference configurations for hevc range extensions,

Reference 45

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:7fb850461beae89a66dccf6eb956717e3bfe9fa396691e7ba9b23a2e2723c5a4

Observation caab892c-e5f8-49c2-a78f-74e8ad27d8fc · outbound

This paper cites A configurable floating-point multiple-precision processing element for hpc and ai converged computing,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies A configurable floating-point multiple-precision processing element for hpc and ai converged computing,

Reference 46

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:e5f01e647c591d0ea75658879598e5c622ef8672484852a26d3d24bff54cab11

Observation 7f0a1577-b3f4-4e84-ab3f-c8173e7b3402 · outbound

This paper cites Less is more: Exploiting the standard compiler optimization levels for better performance and energy consumption,.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Less is more: Exploiting the standard compiler optimization levels for better performance and energy consumption,

Reference 47

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:1584a9b6674c11c7bafcafb6dcf68e8342a6417fe096006bb8984076b0a681aa

Observation 87baeb8e-360d-4ff7-b534-ce9f40c93d9f · outbound

This paper cites Peng is a Fellow of the Higher Education Academy (FHEA), and a Fellow of the IEEE.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Peng is a Fellow of the Higher Education Academy (FHEA), and a Fellow of the IEEE

Reference 48

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:de9976725443e49bc7f942942726eac8c420fa3f6ea39c6d1106e2e4408bf227

Observation f27b02b1-f20f-4f62-912f-4d2a493ad620 · outbound

This paper cites an unresolved cited work.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Unresolved cited work

Reference 49

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:af928a348392a2de84ec229246be4a3c64c16bf78255e8845f643007e179dcf4

Observation 9e5bd376-7163-4861-aeb3-70b7d72b8661 · outbound

This paper cites an unresolved cited work.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Unresolved cited work

Reference 50

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:2b2845775111180aaae13c51f25722e0610e0fdf6c7f6f6d1813b3b602e935fd

Observation fc3ff9fe-09bc-4ef1-96d2-c2a07dc79265 · outbound

This paper cites Gradient w.r.t.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Gradient w.r.t

Reference 51

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:435a360043fd4ce8906ae1746f05fd0346d3f49de8fcc9d084784243ec536abf

Observation 92f51c99-195a-4143-929d-0d73416b8bd8 · outbound

This paper cites an unresolved cited work.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Unresolved cited work

Reference 52

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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:7d58849ac6ffbe2726f07a40b0025e2d7c906a3ee4ecbe61a937821b6e0cf6a9

Observation ad3aa55d-6e0e-4eeb-835d-6465a5ebf4c5 · outbound

This paper cites an unresolved cited work.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies Unresolved cited work

Reference 53

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malformed identifier
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source=pdf_text observed=2026-06-27T05:45:40.881267Z digest=sha256:a0ebe7f8ed18ec47978c8e6fef56933c27d1d2c65e0b0ff929ceab488e9cdc30

Observation 59df4173-8cd7-4265-af45-4e66723c95fc · outbound

This paper cites ADDITIONALRATE-DISTORTIONCURVES For completeness, Fig.

JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies ADDITIONALRATE-DISTORTIONCURVES For completeness, Fig

Reference 54

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Pith citing papers

No inbound Pith citation observations are available.