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Paper Citation Record · LEDGER

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.10478.

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

pith.paper-citation-record.v1
2607.10478 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:24:14.996466Z

measured 19 of 19 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

19 of 19 outbound references displayed

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External citation measurements

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Outbound references

Observation f895056a-175f-4883-a691-8d12aa043631 · outbound

This paper cites Overview of the h. 264/avc video coding standard,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Overview of the h. 264/avc video coding standard,

Reference 1

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Observation 6f228467-c17e-4d8c-86d3-79792669f201 · outbound

This paper cites Differentiable bit-rate estimation for neural-based video codec enhancement,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Differentiable bit-rate estimation for neural-based video codec enhancement,

Reference 2

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Observation a6e6f77a-f081-47a3-bf74-9560370b7b93 · outbound

This paper cites Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers

Reference 3

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source=pdf_text observed=2026-07-14T11:24:14.996466Z digest=sha256:70ba70afa22372837b28322cc395321651ff6f71108776b86082ae5d400566b4

Observation 44ff6e3d-564d-4790-bb62-258cf25616af · outbound

This paper cites Deep network-based adaptive quantization for practical video coding,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Deep network-based adaptive quantization for practical video coding,

Reference 4

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Observation f30be83d-ea7d-4235-a343-87445c4e4696 · outbound

This paper cites En- hanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding En- hanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks,

Reference 5

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Observation cc9831b5-999a-4294-ba38-28cac4ead380 · outbound

This paper cites Codec-Simulation Network for Joint Optimization of Video Coding With Pre- and Post-Processing,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Codec-Simulation Network for Joint Optimization of Video Coding With Pre- and Post-Processing,

Reference 6

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Observation 9114327d-6f8f-4c43-82a7-eb3f58823f5e · outbound

This paper cites Deep video codec control for vision models,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Deep video codec control for vision models,

Reference 7

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Observation e7f28796-8a05-4112-8cdb-6a1e343a116a · outbound

This paper cites Joint au- toregressive and hierarchical priors for learned image compression,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Joint au- toregressive and hierarchical priors for learned image compression,

Reference 8

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source=pdf_text observed=2026-07-14T11:24:14.996466Z digest=sha256:dbce2ead380e956b18bfa5a968e53596dcbacaead24b0a0415aa79838b84824c

Observation 77814985-8cf8-4935-b0cb-bdfce7a4d98e · outbound

This paper cites Variational image compression with a scale hyperprior,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Variational image compression with a scale hyperprior,

Reference 9

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source=pdf_text observed=2026-07-14T11:24:14.996466Z digest=sha256:415b6e44aab491489b6108418bb30eb4e69bd87e6ea28e2ddadc1ba70ff2854d

Observation 6becb6da-9999-45b8-a390-5f88f21b63f3 · outbound

This paper cites Perceptual Video Compression with Neural Wrapping,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Perceptual Video Compression with Neural Wrapping,

Reference 10

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Observation 0a09e96f-cf46-4183-8f4a-9fa9b7ae9163 · outbound

This paper cites Preprocessing Enhanced Image Compression for Machine Vision,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Preprocessing Enhanced Image Compression for Machine Vision,

Reference 11

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Observation 76dbbae5-02db-42e2-a54a-5728c4bc7000 · outbound

This paper cites How to exploit the transferability of learned image compression to conventional codecs,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding How to exploit the transferability of learned image compression to conventional codecs,

Reference 12

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Observation c157f89e-67b9-4ec5-8e73-63ee8242c294 · outbound

This paper cites Neural video compression with feature modulation,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Neural video compression with feature modulation,

Reference 13

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Observation 3876eede-c4b4-4480-afb3-7a9d7f8e8bdd · outbound

This paper cites Kodak lossless true color image suite,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Kodak lossless true color image suite,

Reference 14

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Observation 551fcddc-4b9c-473b-9c8f-f58dee838118 · outbound

This paper cites Soft-to-hard vec- tor quantization for end-to-end learning compressible representations,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Soft-to-hard vec- tor quantization for end-to-end learning compressible representations,

Reference 15

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Observation bd0c636b-1971-4890-b119-8261c5a12dbb · outbound

This paper cites Video enhancement with task-oriented flow,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Video enhancement with task-oriented flow,

Reference 16

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Observation 98adae23-0deb-4324-8de9-d7e4032caa99 · outbound

This paper cites JM reference software version 19.0,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding JM reference software version 19.0,

Reference 17

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Observation 786b4a18-0fd2-4c80-af00-7e1652ddf074 · outbound

This paper cites Yolov5 by ultralytics,.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Yolov5 by ultralytics,

Reference 18

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Observation 7be8ce7b-ba6e-4c39-92ab-4e0dc4662ce7 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 19

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Pith citing papers

No inbound Pith citation observations are available.