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Paper Citation Record · LEDGER

Learning-to-Defer with Expert-Conditional Advice

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2603.14324.

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

pith.paper-citation-record.v1
2603.14324 v5

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T21:23:04.333248Z

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation dbd2b59a-cbc8-4f48-b904-6cc2b8189cfc · outbound

This paper cites An overview of limited feedback in wireless commu- nication systems,.

Learning-to-Defer with Expert-Conditional Advice An overview of limited feedback in wireless commu- nication systems,

Reference 1

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:b867643095f5257e71120d188b56d0f87e060b059b6b4a560bc5f92493d1d484

Observation dc2c1bfb-4155-4eb6-aa55-db58045ffede · outbound

This paper cites MIMO broadcast channels with finite-rate feedback,.

Learning-to-Defer with Expert-Conditional Advice MIMO broadcast channels with finite-rate feedback,

Reference 2

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Observation 7569ef48-df79-4b03-bc0d-01cff1c259c8 · outbound

This paper cites Achievable rates of MIMO downlink beamforming with non-perfect CSI: A comparison between quantized and analog feedback,.

Learning-to-Defer with Expert-Conditional Advice Achievable rates of MIMO downlink beamforming with non-perfect CSI: A comparison between quantized and analog feedback,

Reference 3

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Observation 02f622fe-9682-47a6-805a-52bd602910dc · outbound

This paper cites Space-time interference alignment and degree- of-freedom regions for the MISO broadcast channel with periodic CSI feedback,.

Learning-to-Defer with Expert-Conditional Advice Space-time interference alignment and degree- of-freedom regions for the MISO broadcast channel with periodic CSI feedback,

Reference 4

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Observation 1efe098f-b27b-442a-8b22-1beeb19e3eba · outbound

This paper cites Adaptive feedback scheme on K-cell MISO inter- fering broadcast channel with limited feedback,.

Learning-to-Defer with Expert-Conditional Advice Adaptive feedback scheme on K-cell MISO inter- fering broadcast channel with limited feedback,

Reference 5

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:340296a49301e8a63907c48345c916d4c4aacf7c248553f42c5fdac75207f975

Observation d2aa6ec5-7825-4d0e-b8db-8736bf8219d7 · outbound

This paper cites Joint user selection, power allocation, and precoding design with imperfect CSIT for multi-cell MU- MIMO downlink systems,.

Learning-to-Defer with Expert-Conditional Advice Joint user selection, power allocation, and precoding design with imperfect CSIT for multi-cell MU- MIMO downlink systems,

Reference 6

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:954df59fa605768e84d44a73c8e3b633013930c980910ded436dc624b6333b80

Observation 17f1069b-0a12-4e55-914f-4c494699502a · outbound

This paper cites The COST 2100 MIMO channel model,.

Learning-to-Defer with Expert-Conditional Advice The COST 2100 MIMO channel model,

Reference 7

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:7d1c8f90e5ca4aea4d6b107db4c1127c846cec1b66d3990b702c68e6b54642cf

Observation 9fe05002-9f9a-4f87-b68b-2ce0a5f5c7db · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz (release 16),.

Learning-to-Defer with Expert-Conditional Advice Study on channel model for frequencies from 0.5 to 100 GHz (release 16),

Reference 8

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:b773e3fc5176c2da78bfe02e4696ef0e8f8f50f8cc26165a61b27348bd70e0c8

Observation c1057d55-9fdc-4bee-9134-ceac9d5b0113 · outbound

This paper cites A novel millimeter- wave channel simulator and applications for 5G wireless communica- tions,.

Learning-to-Defer with Expert-Conditional Advice A novel millimeter- wave channel simulator and applications for 5G wireless communica- tions,

Reference 9

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:8cd5bf185645761d310fc5e596b23c55b7be6545fdc2122a88fbbb02fbdbf0d3

Observation b57ca1db-2d43-443e-8171-05405849f699 · outbound

This paper cites Joint spatial division and multiplexing for FDD massive MIMO,.

Learning-to-Defer with Expert-Conditional Advice Joint spatial division and multiplexing for FDD massive MIMO,

Reference 10

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:fe02c356c2203595312c5bee1a98e8a2086a373e0f873fc4da1d93e4ff260efe

Observation 1617d5d5-3618-4925-830b-ce7ec95b277b · outbound

This paper cites Downlink CSIT under compressed feedback: Joint versus separate source-channel coding,.

Learning-to-Defer with Expert-Conditional Advice Downlink CSIT under compressed feedback: Joint versus separate source-channel coding,

Reference 11

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Observation 9339064c-4875-41ab-b476-da6a3809cdd4 · outbound

This paper cites Theoretical foundations of transform coding,.

Learning-to-Defer with Expert-Conditional Advice Theoretical foundations of transform coding,

Reference 12

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:c7713c84e46e345d3913f2eca37641e6881c50602c24ecd15e22ef104bc4f4df

Observation c70c4911-8e15-41e9-b2ad-2c55107d4451 · outbound

This paper cites an unresolved cited work.

Learning-to-Defer with Expert-Conditional Advice Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:8090c0b034b68321b8b24fcb1380b36497dbd5b066708a9bd5d6901ae46cc049

Observation 6566baf4-364f-4728-8478-b50602c9e348 · outbound

This paper cites Grassmannian beamforming for multiple-input multiple-output wireless systems,.

Learning-to-Defer with Expert-Conditional Advice Grassmannian beamforming for multiple-input multiple-output wireless systems,

Reference 14

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:eb1bc95225153d476e25cbc96db26a00ba7a0d5136964e8c32b4316484d8ea5a

Observation 57ade2c2-4230-4b77-bd0e-d2c1a33fb9db · outbound

This paper cites Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays,.

Learning-to-Defer with Expert-Conditional Advice Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays,

Reference 15

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:4e479978618e6da6d5879c6250636700589b25684f09889ca9036d2be49e5125

Observation 4b420c69-4c20-4cc0-ba37-5b007d63d400 · outbound

This paper cites High-dimensional CSI acquisition in massive MIMO: Sparsity-inspired approaches,.

Learning-to-Defer with Expert-Conditional Advice High-dimensional CSI acquisition in massive MIMO: Sparsity-inspired approaches,

Reference 16

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:ecd87f0e11c31ea0f9ea3444818f3a35f969989d3b97ada47c227471ea395bd9

Observation 60cfdfac-ba42-4953-a14a-6c89c558fe17 · outbound

This paper cites Massive MIMO channel subspace esti- mation from low-dimensional projections,.

Learning-to-Defer with Expert-Conditional Advice Massive MIMO channel subspace esti- mation from low-dimensional projections,

Reference 17

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:83260aaffefd0b1ebbb746bb9bc8a9658ea4a56560c5246e6318f2e5726cfb80

Observation f34f7b21-110c-493b-8a2f-c6cf531e69a5 · outbound

This paper cites FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification,.

Learning-to-Defer with Expert-Conditional Advice FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification,

Reference 18

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:8e6b2f3108d24f19014aabe178bf216e6d1354b11c46608c480a4a6f57b7d54b

Observation 6ae7e8c0-0a9c-40a9-8b85-5084cfe3f328 · outbound

This paper cites Structured channel covariance estimation from limited samples for large antenna arrays,.

Learning-to-Defer with Expert-Conditional Advice Structured channel covariance estimation from limited samples for large antenna arrays,

Reference 19

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:2b317ea02607fb75d3a9a48fdf1257a19e2f8f77c2e52edee025d6fc5f8d8f7d

Observation 847c09a7-25e6-4948-8b15-e7e193f16c01 · outbound

This paper cites Overview of deep learning- based CSI feedback in massive MIMO systems,.

Learning-to-Defer with Expert-Conditional Advice Overview of deep learning- based CSI feedback in massive MIMO systems,

Reference 20

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:a9bab4769471a0300b58122ccbea4384c97636cd7953e0838f3eff0f13ab4971

Observation 33a840b8-d558-4e9c-81f1-0a748204db2d · outbound

This paper cites Deep learning for massive MIMO CSI feedback,.

Learning-to-Defer with Expert-Conditional Advice Deep learning for massive MIMO CSI feedback,

Reference 21

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:550bade6725ceb285d6903da74bb744c349bbb48f4a0ecc69bd3ca09e4ff97fc

Observation 6c69f357-3900-48ee-9f45-f75a25d5dde0 · outbound

This paper cites Lightweight convolutional neural networks for CSI feedback in massive MIMO,.

Learning-to-Defer with Expert-Conditional Advice Lightweight convolutional neural networks for CSI feedback in massive MIMO,

Reference 22

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:8d7f06c2940a117f0b40e7fe59c47a97f17a399dfdc7b613c137d69477835ea0

Observation 75001270-9d7e-4c01-b47c-2a7b5cdebed0 · outbound

This paper cites TransNet: Full attention network for CSI feedback in FDD massive MIMO system,.

Learning-to-Defer with Expert-Conditional Advice TransNet: Full attention network for CSI feedback in FDD massive MIMO system,

Reference 23

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:c219ddc30ac50695c439db5f6179a22f368b6f905d3ed773b47da18c61af037d

Observation a082da5f-3933-4a83-952c-9373e9abfcb9 · outbound

This paper cites Convolutional neural network- based multiple-rate compressive sensing for massive MIMO CSI feed- back: Design, simulation, and analysis,.

Learning-to-Defer with Expert-Conditional Advice Convolutional neural network- based multiple-rate compressive sensing for massive MIMO CSI feed- back: Design, simulation, and analysis,

Reference 24

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:db2ccdd259fdb4fb8a786ad51e09047a29c2cd555c56d6c22190784ad6b5cd5f

Observation ac0482a5-2afb-4782-b01d-47fa94a37d27 · outbound

This paper cites Low-complexity CSI feedback for FDD massive MIMO systems via learning to opti- mize,.

Learning-to-Defer with Expert-Conditional Advice Low-complexity CSI feedback for FDD massive MIMO systems via learning to opti- mize,

Reference 25

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Observation d70eff13-19bc-493c-adcc-795e6bb3bdbd · outbound

This paper cites Nonlinear transform coding,.

Learning-to-Defer with Expert-Conditional Advice Nonlinear transform coding,

Reference 26

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:d3f7e45d592ddbfe5e05e655803703c229a600e13aa7f6cae55cade88e8b8a7c

Observation 879fd652-e357-4262-92e1-4dd6668f5a84 · outbound

This paper cites Multi-rate variable-length CSI compression for FDD massive MIMO,.

Learning-to-Defer with Expert-Conditional Advice Multi-rate variable-length CSI compression for FDD massive MIMO,

Reference 27

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:3ad45dd05d7e38efaeab718f61f91bdcef3e4f810cbb215c7179cf48f0f8f28f

Observation d166900d-84e9-4921-a86e-0328c3795aaa · outbound

This paper cites Transformer-based nonlinear transform coding for multi-rate CSI compression in MIMO-OFDM systems,.

Learning-to-Defer with Expert-Conditional Advice Transformer-based nonlinear transform coding for multi-rate CSI compression in MIMO-OFDM systems,

Reference 28

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:53b6653c14d3402e4eaa1cf26ec32f47d2752f044a922299fa6b87b922d6bf0e

Observation 550f2a53-4275-4dd5-8cae-13acc9d2fe8d · outbound

This paper cites Multi-length CSI feedback with ordered finite scalar quantiza- tion,.

Learning-to-Defer with Expert-Conditional Advice Multi-length CSI feedback with ordered finite scalar quantiza- tion,

Reference 29

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:b95549be3f4db266f3c962b400b68cd34ca8b16c75200d0ef57fc09a8511d4a5

Observation fe70b4c0-c9d2-4b95-b2b0-9ea200e08ab0 · outbound

This paper cites Lossy Compression with Gaussian Diffusion.

Learning-to-Defer with Expert-Conditional Advice Lossy Compression with Gaussian Diffusion

Reference 30

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:2b310e8ec93a88ff7d25e3e5129e1d9168f8e5537019ba6de093fc472e524732

Observation fe1f3128-2ff8-41f5-903d-336d562cb158 · outbound

This paper cites Lossy image compression with conditional diffusion models,.

Learning-to-Defer with Expert-Conditional Advice Lossy image compression with conditional diffusion models,

Reference 31

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:91f2ab8aa534a560bafff620af83a1b47c1490cdde4a8b634973778338cba10b

Observation 91e63eb1-ca66-4438-92e2-795ee951ce85 · outbound

This paper cites Generative Diffusion Model-based Compression of MIMO CSI.

Learning-to-Defer with Expert-Conditional Advice Generative Diffusion Model-based Compression of MIMO CSI

Reference 32

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:718cde2f3800f44d0e8dcc9a65a83378b80dd49fce658737e0fe56f8699d6031

Observation e88ad7d2-5e22-4db8-85c2-bc7d369461d6 · outbound

This paper cites Residual diffusion models for variable-rate joint source channel coding of MIMO CSI,.

Learning-to-Defer with Expert-Conditional Advice Residual diffusion models for variable-rate joint source channel coding of MIMO CSI,

Reference 33

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:36260d210b548e396316e9c03d0c67a7e098a5899ca7ea99633c23f3572e8da7

Observation e04db3f1-d4b4-4156-b47b-17c3b9a916e8 · outbound

This paper cites FDD massive MIMO channel training: Optimal rate-distortion bounds and the spectral efficiency of “one-shot.

Learning-to-Defer with Expert-Conditional Advice FDD massive MIMO channel training: Optimal rate-distortion bounds and the spectral efficiency of “one-shot

Reference 34

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Observation 46ca2859-bb4a-496b-99ea-34cda9ef3c96 · outbound

This paper cites Fundamental limits to exploiting side information for CSI feedback in wireless systems,.

Learning-to-Defer with Expert-Conditional Advice Fundamental limits to exploiting side information for CSI feedback in wireless systems,

Reference 35

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Observation 1fc9d725-5daa-4a5e-a0ff-916f58576c91 · outbound

This paper cites an unresolved cited work.

Learning-to-Defer with Expert-Conditional Advice Unresolved cited work

Reference 36

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:452d70c5d32ee0e750022c7e43c701f32e95a34414f7d510475a63c7259ac38e

Observation 195068fa-dd2e-4de1-a01e-c4b0ef7a25bb · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Learning-to-Defer with Expert-Conditional Advice Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 37

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source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:c586aaf9d8d6221c30afb5a3b3a059d7e36f3d68d9ad384a30177d7a694d66d0

Observation ad331cb6-06fb-4f8a-b931-004da3917981 · outbound

This paper cites FDD massive MIMO without CSI feedback,.

Learning-to-Defer with Expert-Conditional Advice FDD massive MIMO without CSI feedback,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:ead64ef02a6903f6c15fc26a6d03170b010b918d65480512977c113e8eee9dca

Observation ce3cd1ba-f7c0-46ce-9607-0af115f9c01e · outbound

This paper cites FDD massive MIMO: How to optimally combine UL pilot and limited DL CSI feedback?.

Learning-to-Defer with Expert-Conditional Advice FDD massive MIMO: How to optimally combine UL pilot and limited DL CSI feedback?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:7e9c551a7d660f123799398f9a28c5682dfe0caee87ed0d688788b9aca056a0f

Observation 70e55540-9ac5-42d5-af18-8250f91f8172 · outbound

This paper cites On the entropy of general mixture distributions,.

Learning-to-Defer with Expert-Conditional Advice On the entropy of general mixture distributions,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:00e2ef075e888f93a6084646f2031e04d60a3d4af57d94b86ea507b9e91fb36e

Observation 1f19aab9-3014-4f75-b7d3-0f091d84f59c · outbound

This paper cites Berger,Rate Distortion Theory: A Mathematical Basis for Data Compression.

Learning-to-Defer with Expert-Conditional Advice Berger,Rate Distortion Theory: A Mathematical Basis for Data Compression

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:155f3590ec4f77e5faaf6b595d850a5b8035d900aa8ad258e3095e3dd4d6fe4e

Observation 15a84f39-6461-4dc6-8c85-2d9b9a121e3f · outbound

This paper cites Maximum likelihood from incomplete data via the EM algorithm,.

Learning-to-Defer with Expert-Conditional Advice Maximum likelihood from incomplete data via the EM algorithm,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:91d2d782fd90b832e7c414253e12c2f98ecf3c6b357e67e633e97eaa61f9b147

Observation 4ead62b3-2837-4f22-8b14-cb33693d18b3 · outbound

This paper cites The rate-distortion function for source coding with side information at the decoder,.

Learning-to-Defer with Expert-Conditional Advice The rate-distortion function for source coding with side information at the decoder,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:d464fb53b6efa7a7ebd634ac73ed78aee1cfdc7cc5301fed4af457728c077619

Observation 719858d3-88a5-40bf-8cc8-4b9c15dae3ad · outbound

This paper cites Changeable rate and novel quantization for CSI feedback based on deep learning,.

Learning-to-Defer with Expert-Conditional Advice Changeable rate and novel quantization for CSI feedback based on deep learning,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:26d516cf8aaac502d13a5787ae68892efb64ef21afea2057a93b6f66a6844dfe

Pith citing papers

No inbound Pith citation observations are available.