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Paper Citation Record · LEDGER

Exploiting Latent Properties to Optimize Neural Codecs

As of 14 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.

pith.paper-citation-record.v1
2501.01231 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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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

59 of 59 outbound references displayed

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External citation measurements

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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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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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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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Source-reported events for the cited work

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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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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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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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This paper cites Gersho and R.

Exploiting Latent Properties to Optimize Neural Codecs Gersho and R

Reference 22

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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

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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

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Exploiting Latent Properties to Optimize Neural Codecs Nvtc: Nonlinear vector transform coding,

Reference 25

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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

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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

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Observation 7c3470cc-1d0f-4c75-b13a-5bc34f1a144a · outbound

This paper cites Improving inference for neural image compression,.

Exploiting Latent Properties to Optimize Neural Codecs Improving inference for neural image compression,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9e3e73cf-3a6a-4c07-aa73-e0207cd92b81 · outbound

This paper cites Content adaptive optimization for neural image compression,.

Exploiting Latent Properties to Optimize Neural Codecs Content adaptive optimization for neural image compression,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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This paper cites Content adaptive and error propagation aware deep video compression,.

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d84b486a-4ccb-4ec8-abae-f917b488bf44 · outbound

This paper cites Latent-shift: Gradient of entropy helps neural codecs,.

Exploiting Latent Properties to Optimize Neural Codecs Latent-shift: Gradient of entropy helps neural codecs,

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dd788768-363e-4f16-9990-66e70cfb43f3 · outbound

This paper cites Ee2-4.1: Shifting quantization center,.

Exploiting Latent Properties to Optimize Neural Codecs Ee2-4.1: Shifting quantization center,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d472883f-43b8-494c-a3f5-833297978685 · outbound

This paper cites Asymmetric numeral systems.

Exploiting Latent Properties to Optimize Neural Codecs Asymmetric numeral systems

Reference 36

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unresolved
no resolver link, observed 2026-08-10T22:39:14.825623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:14.825623Z digest=sha256:2b86cc31e4aa863a48265d73cc4fb789cfb2f875c36d96090ea155894f9c035b

Observation 8b2c8adb-63c3-42e4-abc6-5ca3f3015216 · outbound

This paper cites Universally quantized neural compression,.

Exploiting Latent Properties to Optimize Neural Codecs Universally quantized neural compression,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:39:14.830019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:14.830019Z digest=sha256:ac3b319f61a289a108a5ca1804e9b62523e785a6464043fdf842b345f914c40d

Observation 1a4ef92d-a69f-4189-9240-909bec7d594f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:39:15.430048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.834299Z digest=sha256:30cb79dc596ef9b42c49044fdcecda75e0a531418bb7c8161c8e8e4ad9f97240

Observation c2042065-c87d-4066-a41f-fc5f9c552e3e · outbound

This paper cites Spectra of quantized signals,.

Exploiting Latent Properties to Optimize Neural Codecs Spectra of quantized signals,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:39:15.418662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.838465Z digest=sha256:ecc878f8a104c1f001b42edf09eb91cc79edb625ecc86ad978de50e23815d53e

Observation e36d0bab-590d-4c45-9a15-10e3d303bec2 · outbound

This paper cites Video coding using learned latent gan compression,.

Exploiting Latent Properties to Optimize Neural Codecs Video coding using learned latent gan compression,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:39:15.408405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.842278Z digest=sha256:fa53415f861e3604e0749ebc7318a9930f13ccc0f8b6f44c97fcef56b07d2f33

Observation c712e3f5-5a7d-4009-8fcd-676b2172147b · outbound

This paper cites Nonlinear transform coding,.

Exploiting Latent Properties to Optimize Neural Codecs Nonlinear transform coding,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:39:14.845492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:14.845492Z digest=sha256:e3c3dd9c10275baa1eec5af03cab18159751176b315eb28e6d118a4c3891269c

Observation 71e88a6f-2c88-43b5-bc95-a62282be2d0d · outbound

This paper cites On the structure of vector quantizers,.

Exploiting Latent Properties to Optimize Neural Codecs On the structure of vector quantizers,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:39:15.397335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.848708Z digest=sha256:7172763413d30f3dc6862f914d0ddd88d950a741eedfda645bb1a1c37b091d10

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
verified fuzzy
raw_fallback, observed 2026-08-10T22:39:15.387388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.851855Z digest=sha256:7f857e1f428f7380a8210c098cd954776ebb41023c1ba429bcd5589275fc1f99

Observation a2bc12a9-7dd1-47be-9444-43dd3d72a9e1 · outbound

This paper cites On the computation of integrals of bivariate gaussian distribution,.

Exploiting Latent Properties to Optimize Neural Codecs On the computation of integrals of bivariate gaussian distribution,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:39:15.377999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.855499Z digest=sha256:a68639bf5f04119f51df364a013d83b8b328c433c8081f545f3128ff06ddcda1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.858886Z digest=sha256:6a67ec5935437fa4121072e6d7913f661b2609022c6010547a92a8f3aa367c4c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.862804Z digest=sha256:d505a75d2b6b8bc7dd6c7d6fe662202d770509da3af2f56b7e3557faec0f0cfe

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
unresolved
no resolver link, observed 2026-08-10T22:39:14.866294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:14.866294Z digest=sha256:d95f40b3ba07754a02142bde89da835d8023b1326d6980edf2c726850ce827bd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.870602Z digest=sha256:bf2d559fc56a3cb3bad98aef3778d5fb2f22310fb726510d682b4c343755fd38

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.874357Z digest=sha256:84628fe91c21e82d9e78ed31354b2ffce9f6795f6b4739a6d907e1e25396152a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.877954Z digest=sha256:7ae7d559430b80f717fe970cd8461fdc9d94440eef868f4c4f708c6e29bd912e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.881204Z digest=sha256:60560d5036e7e95611a1e6ea679392933eea2751d24bbbda111b78474e0d2a65

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.885219Z digest=sha256:f67e0c2530608f450f4e4c9142e2e75900279e3d5009406823922b03c06fdc31

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.

source=pdf_text observed=2026-08-10T22:39:14.888022Z digest=sha256:f0a7828638fdcf6a032a0f1da66f04349ccba81a643d0d8553d83a5e804712a0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.891303Z digest=sha256:9053fd6975001b588ff6c8819cd9bd241140d92a499f9a735598bcdcbedf5b00

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.894299Z digest=sha256:dba5a4f2de7b8d9a8b77850b190fd26dbc7b831de649a9f3d64b8b7cb70938f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.898935Z digest=sha256:1004c64f11b963971bbf5f8f2159f93e9d74b349de91ec0658639ceb1754b312

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.906163Z digest=sha256:67a7e67498c6504362e23c5b651a81f243e65a800306bb396826a3893055f52a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.902748Z digest=sha256:1adfb666270b025fd5756cb48a935483a58f87e8a5ae2a90bcbd4ca14ed370b7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:39:14.909375Z digest=sha256:7366c3231a2b96e4fe654d5abe9db4332254633e167c041cd07b0c4dcd6887f8

Pith citing papers

No inbound Pith citation observations are available.