Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:39:14.909375Z
Paper Citation Record · LEDGER
Exploiting Latent Properties to Optimize Neural Codecs
As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2501.01231.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 968326fb-b75a-4612-99b8-cf90180491f6 · outbound
This paper cites Video compression with rate-distortion autoencoders,.
Exploiting Latent Properties to Optimize Neural Codecs Video compression with rate-distortion autoencoders,
Reference 1
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Observation 1dd62567-8109-4cfc-9dd5-1ade02ef959d · outbound
This paper cites Rethinking lossy compression: The rate- distortion-perception tradeoff,.
Exploiting Latent Properties to Optimize Neural Codecs Rethinking lossy compression: The rate- distortion-perception tradeoff,
Reference 2
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Observation 1933b236-381c-4de4-a54f-cf8796c85618 · outbound
This paper cites Auto-Encoding Variational Bayes.
Exploiting Latent Properties to Optimize Neural Codecs Auto-Encoding Variational Bayes
Reference 3
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Source-reported events for the cited work
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Observation 43b33e1d-c42c-4621-9b1e-6e591052622b · outbound
This paper cites Lossy Image Compression with Compressive Autoencoders.
Exploiting Latent Properties to Optimize Neural Codecs Lossy Image Compression with Compressive Autoencoders
Reference 4
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Source-reported events for the cited work
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Observation 758e4531-4692-4144-a75c-b5556deb763e · outbound
This paper cites End-to-end Optimized Image Compression.
Exploiting Latent Properties to Optimize Neural Codecs End-to-end Optimized Image Compression
Reference 5
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Observation 5b5ffdda-2c9b-4cc4-80b9-67ce8a88c307 · outbound
This paper cites Variational image compression with a scale hyperprior.
Exploiting Latent Properties to Optimize Neural Codecs Variational image compression with a scale hyperprior
Reference 6
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Source-reported events for the cited work
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Observation 7e379d76-f159-4187-a2ae-84398a47b2d2 · outbound
This paper cites Joint autoregressive and hier- archical priors for learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Joint autoregressive and hier- archical priors for learned image compression,
Reference 7
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Observation 3dd5fe65-26e9-468c-a629-839000672f29 · outbound
This paper cites Channel-wise autoregressive entropy models for learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Channel-wise autoregressive entropy models for learned image compression,
Reference 8
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Source-reported events for the cited work
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Observation e265a933-ecda-4958-8e65-4a411f4ccf96 · outbound
This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.
Exploiting Latent Properties to Optimize Neural Codecs Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,
Reference 9
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Source-reported events for the cited work
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Observation cd066ab0-705d-4ee5-a8bb-34a4343e0d59 · outbound
This paper cites Enhanced invertible encoding for learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Enhanced invertible encoding for learned image compression,
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 7a216a99-bfda-49e0-9247-49aaab726036 · outbound
This paper cites Checkerboard context model for efficient learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Checkerboard context model for efficient learned image compression,
Reference 11
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Source-reported events for the cited work
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Observation c60ea948-733d-4279-b892-1ce3b13e378e · outbound
This paper cites Learning Accurate Entropy Model with Global Reference for Image Compression.
Exploiting Latent Properties to Optimize Neural Codecs Learning Accurate Entropy Model with Global Reference for Image Compression
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 346509ed-e0b5-467b-88a8-8bb63c1fe2ee · outbound
This paper cites Joint global and local hierarchical priors for learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Joint global and local hierarchical priors for learned image compression,
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 696bdc88-4dde-4f97-8d9b-36357f09b4b6 · outbound
This paper cites Learned image compression with mixed transformer-cnn architectures,.
Exploiting Latent Properties to Optimize Neural Codecs Learned image compression with mixed transformer-cnn architectures,
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3c0b68-aaca-4e14-bb12-c74c7da40601 · outbound
This paper cites Dvc: An end-to-end deep video compression framework,.
Exploiting Latent Properties to Optimize Neural Codecs Dvc: An end-to-end deep video compression framework,
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 83877fac-349b-4dea-9c8e-ac1b5ecf9919 · outbound
This paper cites Scale-space flow for end-to-end optimized video compres- sion,.
Exploiting Latent Properties to Optimize Neural Codecs Scale-space flow for end-to-end optimized video compres- sion,
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 4db111b1-00ec-4807-861b-8692769e45ad · outbound
This paper cites AIVC: Artificial Intelligence based Video Codec.
Exploiting Latent Properties to Optimize Neural Codecs AIVC: Artificial Intelligence based Video Codec
Reference 17
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 0a87de39-7fc9-47c7-bbaa-273d5db67621 · outbound
This paper cites End-to-end rate-distortion optimized learned hierarchical bi-directional video compression,.
Exploiting Latent Properties to Optimize Neural Codecs End-to-end rate-distortion optimized learned hierarchical bi-directional video compression,
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation cb687e4a-2a5e-4311-87ca-701cc04b1ac3 · outbound
This paper cites Extending neural p-frame codecs for b-frame coding,.
Exploiting Latent Properties to Optimize Neural Codecs Extending neural p-frame codecs for b-frame coding,
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 40170ff3-ca0f-4c0f-8161-790792ace497 · outbound
This paper cites Deep contextual video compression,.
Exploiting Latent Properties to Optimize Neural Codecs Deep contextual video compression,
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 21405216-784e-4728-aef5-29db3f42845e · outbound
This paper cites Hybrid spatial-temporal entropy modelling for neural video compression,.
Exploiting Latent Properties to Optimize Neural Codecs Hybrid spatial-temporal entropy modelling for neural video compression,
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation e59354e0-959b-4fb9-a484-855646675332 · outbound
This paper cites Gersho and R.
Exploiting Latent Properties to Optimize Neural Codecs Gersho and R
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 318d40e1-c195-46be-afa0-89f790ef8043 · outbound
This paper cites Soft-to-hard vector quantization for end- to-end learning compressible representations,.
Exploiting Latent Properties to Optimize Neural Codecs Soft-to-hard vector quantization for end- to-end learning compressible representations,
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 51a8dc2c-2609-4a06-a7fd-eb55cf819ea9 · outbound
This paper cites Unified multivariate gaussian mixture for efficient neural image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Unified multivariate gaussian mixture for efficient neural image compression,
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation e3629eca-9fa9-43b6-9c50-2d85555182e2 · outbound
This paper cites Nvtc: Nonlinear vector transform coding,.
Exploiting Latent Properties to Optimize Neural Codecs Nvtc: Nonlinear vector transform coding,
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation b4309cdb-f83b-4aa3-9bd9-9fa604b65c1b · outbound
This paper cites LVQ-V AE:end-to- end hyperprior-based variational image compression with lattice vector quantization,.
Exploiting Latent Properties to Optimize Neural Codecs LVQ-V AE:end-to- end hyperprior-based variational image compression with lattice vector quantization,
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2d8fc20f-1863-424c-bb91-39d06eb0c2a5 · outbound
This paper cites Lvqac: Lattice vector quantization coupled with spatially adaptive companding for efficient learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Lvqac: Lattice vector quantization coupled with spatially adaptive companding for efficient learned image compression,
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation 5f4d2253-6a79-4b29-8cb7-8af68c488e6e · outbound
This paper cites Reducing the amortization gap of entropy bottleneck in end-to-end image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Reducing the amortization gap of entropy bottleneck in end-to-end image compression,
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation 7c3470cc-1d0f-4c75-b13a-5bc34f1a144a · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Improving inference for neural image compression,
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 4548599e-7fa0-4252-abf1-efccfe4ae5d1 · outbound
This paper cites Soft then hard: Rethinking the quantization in neural image compression,.
Exploiting Latent Properties to Optimize Neural Codecs Soft then hard: Rethinking the quantization in neural image compression,
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 9e3e73cf-3a6a-4c07-aa73-e0207cd92b81 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Content adaptive optimization for neural image compression,
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 45982178-9f2d-4a1e-81d2-efa2841b0891 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Content adaptive and error propagation aware deep video compression,
Reference 32
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Source-reported events for the cited work
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Observation cc159e94-c212-4071-bcc1-d34fbe812695 · outbound
This paper cites Overfitting for Fun and Profit: Instance-Adaptive Data Compression.
Exploiting Latent Properties to Optimize Neural Codecs Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Reference 33
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Source-reported events for the cited work
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Observation d84b486a-4ccb-4ec8-abae-f917b488bf44 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Latent-shift: Gradient of entropy helps neural codecs,
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation dd788768-363e-4f16-9990-66e70cfb43f3 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Ee2-4.1: Shifting quantization center,
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation d472883f-43b8-494c-a3f5-833297978685 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Asymmetric numeral systems
Reference 36
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Source-reported events for the cited work
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Observation 8b2c8adb-63c3-42e4-abc6-5ca3f3015216 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Universally quantized neural compression,
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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This paper cites Optimum quantizer performance for a class of non-gaussian memoryless sources,.
Exploiting Latent Properties to Optimize Neural Codecs Optimum quantizer performance for a class of non-gaussian memoryless sources,
Reference 38
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c2042065-c87d-4066-a41f-fc5f9c552e3e · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Spectra of quantized signals,
Reference 39
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Source-reported events for the cited work
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Observation e36d0bab-590d-4c45-9a15-10e3d303bec2 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Video coding using learned latent gan compression,
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation c712e3f5-5a7d-4009-8fcd-676b2172147b · outbound
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Exploiting Latent Properties to Optimize Neural Codecs Nonlinear transform coding,
Reference 41
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71e88a6f-2c88-43b5-bc95-a62282be2d0d · outbound
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Exploiting Latent Properties to Optimize Neural Codecs On the structure of vector quantizers,
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fcc14d0b-82d5-4bad-adcb-6c0604a6325d · outbound
This paper cites Asymptotically optimal block quantization,.
Exploiting Latent Properties to Optimize Neural Codecs Asymptotically optimal block quantization,
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a2bc12a9-7dd1-47be-9444-43dd3d72a9e1 · outbound
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Exploiting Latent Properties to Optimize Neural Codecs On the computation of integrals of bivariate gaussian distribution,
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f0476639-3405-4014-bf36-4ebda0f1f4c9 · outbound
This paper cites Miettinen, Nonlinear multiobjective optimization.
Exploiting Latent Properties to Optimize Neural Codecs Miettinen, Nonlinear multiobjective optimization
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.367864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5c49ab8c-631d-4e04-a4b9-97d9e9c5faab · outbound
This paper cites Multiple-gradient descent algorithm (mgda) for multi- objective optimization,.
Exploiting Latent Properties to Optimize Neural Codecs Multiple-gradient descent algorithm (mgda) for multi- objective optimization,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.356693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7f86bc80-ac1d-4b2b-a038-e6b6fc4aebef · outbound
This paper cites CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.
Exploiting Latent Properties to Optimize Neural Codecs CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef76b1d7-c88c-40b7-aa77-25ed2dbb42f1 · outbound
This paper cites Kodak Lossless True Color Image Suite (PhotoCD PCD0992).
Exploiting Latent Properties to Optimize Neural Codecs Kodak Lossless True Color Image Suite (PhotoCD PCD0992)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.344326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6246ca6-0b4d-42d6-813f-1f286532163e · outbound
This paper cites CLIC: Challenge on learned image compression,.
Exploiting Latent Properties to Optimize Neural Codecs CLIC: Challenge on learned image compression,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.332073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2f59d3b8-4b52-402d-9209-9074af815318 · outbound
This paper cites Uvg dataset: 50/120fps 4k sequences for video codec analysis and development,.
Exploiting Latent Properties to Optimize Neural Codecs Uvg dataset: 50/120fps 4k sequences for video codec analysis and development,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.318976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fa7f75c1-06b2-4f93-aa99-d45271c59fa0 · outbound
This paper cites Calculation of average psnr differences between rd curves,.
Exploiting Latent Properties to Optimize Neural Codecs Calculation of average psnr differences between rd curves,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.306288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4e1bea91-f2a6-4f9e-924c-4630f346c54f · outbound
This paper cites Common test conditions and evaluation procedures for enhanced compression tool testing,.
Exploiting Latent Properties to Optimize Neural Codecs Common test conditions and evaluation procedures for enhanced compression tool testing,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.294473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9af8f3d2-276d-4bcc-ae5f-a06d75bb1349 · outbound
This paper cites Closest point search in lattices,.
Exploiting Latent Properties to Optimize Neural Codecs Closest point search in lattices,
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:39:14.888022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98186648-8cf9-43d2-8d4f-b8f6292c588b · outbound
This paper cites Fast quantizing and decoding and algorithms for lattice quantizers and codes,.
Exploiting Latent Properties to Optimize Neural Codecs Fast quantizing and decoding and algorithms for lattice quantizers and codes,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.276236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ea79ea48-a841-44c8-ab56-93c7f4e11ccd · outbound
This paper cites Algorithm description of enhanced compression model 9 (ecm 9),.
Exploiting Latent Properties to Optimize Neural Codecs Algorithm description of enhanced compression model 9 (ecm 9),
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.263843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation df2e7bf4-be23-480c-8b0b-f3b47cf6c4fe · outbound
This paper cites Multilayer feedforward networks are universal approximators,.
Exploiting Latent Properties to Optimize Neural Codecs Multilayer feedforward networks are universal approximators,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.252212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 588a4a9c-5e6b-47c1-9f0e-29ef7116a979 · outbound
This paper cites an unresolved cited work.
Exploiting Latent Properties to Optimize Neural Codecs Unresolved cited work
Reference 2013
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:39:15.226861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e9145121-c5d5-4b09-8f57-c5cb5db09242 · outbound
This paper cites In 2015-2020, he was a post-doctoral researcher with IRISA, Universite Bre- tagne Sud.
Exploiting Latent Properties to Optimize Neural Codecs In 2015-2020, he was a post-doctoral researcher with IRISA, Universite Bre- tagne Sud
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.239632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 786887d4-e135-46b4-af5c-fee463cfd5e1 · outbound
This paper cites He is currently working as a principal scientist in video compression at InterDigital Inc.
Exploiting Latent Properties to Optimize Neural Codecs He is currently working as a principal scientist in video compression at InterDigital Inc
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:39:15.212994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.