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Paper Citation Record · LEDGER

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2512.14022.

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

pith.paper-citation-record.v1
2512.14022 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:22:15.240949Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

30 of 30 outbound references displayed

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  • verified fuzzy0
  • unresolved30
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30a4fd43-5337-47c1-96c2-6b55ed8b6da4 · outbound

This paper cites Beyond transmitting bits: Context, seman- tics, and task-oriented communications,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Beyond transmitting bits: Context, seman- tics, and task-oriented communications,

Reference 1

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Observation b78ebed9-c305-4e97-b5a9-5ef82c9e3b48 · outbound

This paper cites Demo: Real-time semantic communications with a vision transformer,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Demo: Real-time semantic communications with a vision transformer,

Reference 2

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source=pdf_text observed=2026-08-03T16:22:12.665737Z digest=sha256:a7d76390ff2ecc8e50f80ddbd5993f1582219e942ac3cb848f78fc14eba1ea9e

Observation 684becf3-f026-4db4-83fd-2cf85a47de11 · outbound

This paper cites Deep joint source- channel coding for wireless image transmission,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Deep joint source- channel coding for wireless image transmission,

Reference 3

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source=pdf_text observed=2026-08-03T16:22:12.774844Z digest=sha256:60c6cf0da64bda5bb3d7e315d948f0fe8f11eba74cd43b33ee02d3f13e0bdbea

Observation d48ad339-31c2-44d0-8760-2690e614c9a9 · outbound

This paper cites Deep learning enabled semantic communication systems,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Deep learning enabled semantic communication systems,

Reference 4

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source=pdf_text observed=2026-08-03T16:22:12.870382Z digest=sha256:66a63b01d390c6be3d7f60cf9c83a5e6e4557874f52f496f0bbdfc61adecb639

Observation 8c1a74a0-efb8-4410-a853-42336acda967 · outbound

This paper cites Semantic communication systems for speech transmission,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Semantic communication systems for speech transmission,

Reference 5

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source=pdf_text observed=2026-08-03T16:22:12.973912Z digest=sha256:84b89c2969487566d1021cf1b3b47a764217598974271ea1f141c6dfd1fd2e45

Observation 079bd4df-92e7-4f4d-a78c-6a16bbae095f · outbound

This paper cites DeepWiVe: Deep-learning-aided wireless video transmission,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective DeepWiVe: Deep-learning-aided wireless video transmission,

Reference 6

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source=pdf_text observed=2026-08-03T16:22:13.094754Z digest=sha256:568487d380983212e58528fd64d4006b0b3ac1e9b88efd3a6a9497910e1cd9d3

Observation ed09eb50-da94-4864-b158-d0c8607b4b1b · outbound

This paper cites Wireless image transmission using deep source channel coding with attention modules,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Wireless image transmission using deep source channel coding with attention modules,

Reference 7

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source=pdf_text observed=2026-08-03T16:22:13.194761Z digest=sha256:8aa82e279aa066ac4fc7e85db1967603159f428a2fea889679279071bcff258a

Observation b135f792-e7cc-4f24-be6b-cabfd4fb2530 · outbound

This paper cites On the role of ViT and CNN in semantic communications: Analysis and prototype validation,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective On the role of ViT and CNN in semantic communications: Analysis and prototype validation,

Reference 8

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source=pdf_text observed=2026-08-03T16:22:13.314759Z digest=sha256:3a50bec5220cf3eac8198edba65ce781dfb3143285a90225d515f50aa80feff3

Observation c512b8c1-3e96-476e-a899-f97ee8add9c2 · outbound

This paper cites Adaptive Wireless Image Semantic Transmission: Design, Simulation, and Prototype Validation.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Adaptive Wireless Image Semantic Transmission: Design, Simulation, and Prototype Validation

Reference 9

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source=pdf_text observed=2026-08-03T16:22:13.414855Z digest=sha256:30d102fa62bbfc167aaf8ec69df094a265592682f9d786d8f2c09133d641a91c

Observation 59812906-2934-4583-9862-6b1d0349fd58 · outbound

This paper cites Real-time implementation and evaluation of SDR-based deep joint source-channel coding,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Real-time implementation and evaluation of SDR-based deep joint source-channel coding,

Reference 10

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source=pdf_text observed=2026-08-03T16:22:13.474764Z digest=sha256:bbcaeef5f047af54bd09fe4e6586ef3badd9c47340e0db090aecddea370e5f27

Observation 1c0ae654-f577-4d97-85c9-99238365843f · outbound

This paper cites Bridging neural networks and wireless systems with MIMO-OFDM semantic communications,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Bridging neural networks and wireless systems with MIMO-OFDM semantic communications,

Reference 11

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source=pdf_text observed=2026-08-03T16:22:13.574751Z digest=sha256:2da7bc0d323dec9fdcd47c3ce9be7faa3af452ecde615b89c0099157f43da9f6

Observation c1ef6a24-1d3e-4197-83c7-e6afbc9d4e90 · outbound

This paper cites End-to-end optimized image compression,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective End-to-end optimized image compression,

Reference 12

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source=pdf_text observed=2026-08-03T16:22:13.704767Z digest=sha256:a9eb1d1542263d3acb7db598ab1a226fd91287a9016dc2c83265ce53dbca5cb2

Observation 8573447c-d1bb-49a3-bb33-a4dda9eafaee · outbound

This paper cites Variational image compression with a scale-mixture model for the rate term,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Variational image compression with a scale-mixture model for the rate term,

Reference 13

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source=pdf_text observed=2026-08-03T16:22:13.787671Z digest=sha256:4f689e9cde195e2531e1024876b57197056da1a9dfa1b62fd9bceff6f35b6ceb

Observation a48a6c84-b299-4889-87fb-b1d5bc3f3c36 · outbound

This paper cites Learned image compres- sion with discretized gaussian mixture likelihoods,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Learned image compres- sion with discretized gaussian mixture likelihoods,

Reference 14

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source=pdf_text observed=2026-08-03T16:22:13.882719Z digest=sha256:fe5faae1372fcc262b9c3fe10ae94036b6d16a4fb8f449eab6f1e540b625e017

Observation d3af41d8-846b-4cdc-b18e-4de39704508c · outbound

This paper cites A mathematical theory of semantic communica- tion,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective A mathematical theory of semantic communica- tion,

Reference 15

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source=pdf_text observed=2026-08-03T16:22:13.976271Z digest=sha256:f60a678064aa36c186b89f8064b01a53dbc1f9770ceb076e349cc52a29cd5465

Observation c6098845-ffc7-49f5-bb35-fdbabe0a124e · outbound

This paper cites A theory of semantic communication,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective A theory of semantic communication,

Reference 16

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source=pdf_text observed=2026-08-03T16:22:14.033482Z digest=sha256:449cb90f46d09238ff8fe42643cb54a16b00b920ee81f7dc109847b2209f7c6a

Observation be38b6cd-9790-4fb4-894d-4ac0394f5c73 · outbound

This paper cites Robust information bottleneck for task-oriented communication with digital modulation,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Robust information bottleneck for task-oriented communication with digital modulation,

Reference 17

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source=pdf_text observed=2026-08-03T16:22:14.153732Z digest=sha256:fde7e9e93f935118ea111c5bbea8776102f3cc87b79b0a53757127a9be195b0d

Observation 2fbbff86-3be2-4787-af59-fc6fa10bed89 · outbound

This paper cites Variational source-channel coding for semantic communication,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Variational source-channel coding for semantic communication,

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:22:14.209634Z digest=sha256:2ce871acb230578fea56ce7602b5e9c22d52130d4d71be31cba73f5fb7b961dd

Observation dd769475-c920-4eb2-a042-3b2bd5402885 · outbound

This paper cites Optimal nonuniform signaling for gaussian channels,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Optimal nonuniform signaling for gaussian channels,

Reference 19

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source=pdf_text observed=2026-08-03T16:22:14.274753Z digest=sha256:adc064a4ae8a709f52511869f7f1d67deec1ef3268ffa506feb3466c86f8649b

Observation 549a33d2-28f6-479c-b6f3-18604f2e268c · outbound

This paper cites Bandwidth efficient and rate-matched low-density parity-check coded modulation,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Bandwidth efficient and rate-matched low-density parity-check coded modulation,

Reference 20

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source=pdf_text observed=2026-08-03T16:22:14.444773Z digest=sha256:7de86e3ac6302fe3bb058231f8427d81eb993a19772794f35a142918a4d987dd

Observation 2e7e02de-7b9a-4967-ac78-c5a6e444c393 · outbound

This paper cites Efficient modulation for band-limited channels,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Efficient modulation for band-limited channels,

Reference 21

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source=pdf_text observed=2026-08-03T16:22:14.568491Z digest=sha256:d7e3239916e0085f08983340fd21d588c654c0ad3ea95f4ed9600bf490165d0e

Observation 2b35b09a-9180-4285-b24a-e64fd4ca8bf6 · outbound

This paper cites Joint learning of geometric and probabilistic constellation shaping,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Joint learning of geometric and probabilistic constellation shaping,

Reference 22

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source=pdf_text observed=2026-08-03T16:22:14.634763Z digest=sha256:f6dedb75f59437de77cdf0c64eb670a9b1e9b3b2bbbd9b81054059023e2ff10d

Observation 1b734399-a3cd-4813-a4ad-f78d08336232 · outbound

This paper cites End-to-end learning of joint geometric and probabilistic constellation shaping,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective End-to-end learning of joint geometric and probabilistic constellation shaping,

Reference 23

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Observation 147c5fe1-6131-4a1c-87ba-54a4ad51b637 · outbound

This paper cites an unresolved cited work.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-03T16:22:14.801629Z digest=sha256:d3e7580b9aa034515ec0b2d11123480310c7ebd791bc6b448b00b98870fb110f

Observation 0e6d00ac-b567-444c-a8bf-ada0969a11be · outbound

This paper cites Improved nonlinear transform source-channel coding to catalyze semantic commu- nications,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Improved nonlinear transform source-channel coding to catalyze semantic commu- nications,

Reference 25

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source=pdf_text observed=2026-08-03T16:22:14.855470Z digest=sha256:e2ab6c8dc456926a4944795d0669644ed7c4a6ec4f671a48526344220a81935c

Observation 0e7910b8-ec66-4b51-aa92-ee71c9dd454a · outbound

This paper cites an unresolved cited work.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-03T16:22:14.914498Z digest=sha256:7305f462d5effe948bfdd001f5e24ca87e5827a7cd9e1689e3fcb528c81fe3e8

Observation ea00f763-e117-401c-80b1-41564f07c86a · outbound

This paper cites Learning multiple layers of features from tiny images,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Learning multiple layers of features from tiny images,

Reference 27

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source=pdf_text observed=2026-08-03T16:22:14.967340Z digest=sha256:7a414c840b08c36ac5d44f09c7bd15494cd503b2436a11e53b5c7e840749b059

Observation 4631d3e3-90ee-4982-8779-7cffc4f852bc · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Imagenet: A large-scale hierarchical image database,

Reference 28

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source=pdf_text observed=2026-08-03T16:22:15.027215Z digest=sha256:f5bee14e15435634de22904d0531da85ba42d161d74ac87055355e5291cc46c0

Observation 9df48618-5ea9-48d4-a34a-99bf482d8594 · outbound

This paper cites Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,

Reference 29

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source=pdf_text observed=2026-08-03T16:22:15.143500Z digest=sha256:1f4b4a5ce45d48d6f0403aafe67fe7df4f0c0d719c2e5e7650797f47586fcc82

Observation e6bfa0bc-0154-4313-89d7-e4c12a55e27b · outbound

This paper cites Kodak lossless true color image suite,.

Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective Kodak lossless true color image suite,

Reference 30

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source=pdf_text observed=2026-08-03T16:22:15.240949Z digest=sha256:e09bd29340903de8dbfb4f75c88eb4bcd772b99b5ad9887e96ff35e1959f6598

Pith citing papers

No inbound Pith citation observations are available.