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Paper Citation Record · LEDGER

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications

As of 10 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2507.17835.

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

pith.paper-citation-record.v1
2507.17835 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:03.947080Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:11:40.096613Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

  • verified exact3
  • verified fuzzy35
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e5fb1bc-58c9-46eb-8394-72f1368b86b6 · outbound

This paper cites Dynamic Relative Representations for Goal-Oriented Semantic Communications.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Dynamic Relative Representations for Goal-Oriented Semantic Communications

Reference 1

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verified exact
local_arxiv, observed 2026-08-06T14:45:04.142324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a117108e-7591-4929-adc7-0ae8a382c354 · outbound

This paper cites Survey on 6g frontiers: Trends, applications, require- ments, technologies and future research,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Survey on 6g frontiers: Trends, applications, require- ments, technologies and future research,

Reference 2

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raw_fallback, observed 2026-08-06T14:45:04.842631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.692210Z digest=sha256:c48099896c9c8e75462ed5fe59770d775ca78bcd8d2cb8f3cc854b58bd591d82

Observation 3901414e-fa9c-4ec0-a3c2-9b9c4714e917 · outbound

This paper cites A new communication paradigm: from bit accuracy to semantic fidelity.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications A new communication paradigm: from bit accuracy to semantic fidelity

Reference 3

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no resolver link, observed 2026-08-06T14:45:03.696907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.696907Z digest=sha256:4ac3ec2716129b6ced3508bd93ee0090b89757c63f027d6e06c82751dc0fcad5

Observation 0e22a982-8813-4bba-bd52-690354c9adb3 · outbound

This paper cites Towards a new internet for the year 2030 and beyond,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Towards a new internet for the year 2030 and beyond,

Reference 4

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raw_fallback, observed 2026-08-06T14:45:04.826045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.702113Z digest=sha256:6e527e8b9bb095ed67a6389f983702ffcfc5fdd477ae56aa068a3d559bbe86aa

Observation 762fd518-1467-4c8a-a69f-dc697418f39b · outbound

This paper cites A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,

Reference 5

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unresolved
no resolver link, observed 2026-08-06T14:45:03.706845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.706845Z digest=sha256:f130866485985f084961a1715f48e54d5f474010c7dde6b7b75cc216384c1c92

Observation f6fec05b-ed1e-4dfd-8bee-4c96f31785e9 · outbound

This paper cites A mathematical theory of communication,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications A mathematical theory of communication,

Reference 6

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unresolved
no resolver link, observed 2026-08-06T14:45:03.711766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.711766Z digest=sha256:b6fdf22469cfcaf07cdb6c5537a4c48ca3c2dc2cac360ef801fcd4b71fde6e29

Observation 342e388f-f9c6-4a0f-8ed3-38432f37f80b · outbound

This paper cites 6G networks: Beyond shannon towards semantic and goal-oriented communications,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications 6G networks: Beyond shannon towards semantic and goal-oriented communications,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.788154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.716822Z digest=sha256:4dd37805bfd39f58df739a7061934582a055f793d39babd7644d63de7f255e07

Observation 15fac946-1a47-408b-8433-fd87bb70978c · outbound

This paper cites Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach

Reference 8

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no resolver link, observed 2026-08-06T14:45:03.721233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.721233Z digest=sha256:bed097afe8161e5a7fed7bcf3ba024f2808cc1396bb513c8f42a0a88ecb34726

Observation 80f5db8b-6be6-4815-ade4-3c31f3172668 · outbound

This paper cites Rethinking modern communication from semantic coding to semantic communication,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Rethinking modern communication from semantic coding to semantic communication,

Reference 9

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raw_fallback, observed 2026-08-06T14:45:04.772353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.726104Z digest=sha256:2588a2b8de4a6ed179755f0aa1a197607cc9f8d8cf83ed9b343f7014c1eacbf8

Observation a527bbf0-21e1-46f4-af1b-d5119b0718db · outbound

This paper cites Deep learning enabled semantic communication systems,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Deep learning enabled semantic communication systems,

Reference 10

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no resolver link, observed 2026-08-06T14:45:03.730424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.730424Z digest=sha256:d981d9ccb366649bcdaf333a5bd67dd72cb3195faa880a3bddd534bc0f7e4dca

Observation 08075a3e-3e5d-4afb-9725-806e242a276f · outbound

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

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Beyond transmitting bits: Context, semantics, and task-oriented communications,

Reference 11

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unresolved
no resolver link, observed 2026-08-06T14:45:03.734504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.734504Z digest=sha256:958af5c8443d78fb8cb98e6661efc78c4cfcd6c2397764cf136878e91a29847b

Observation ab107e86-6d6c-4b89-b8ad-35b91964a863 · outbound

This paper cites Semantic communication: A survey on research landscape, challenges, and future directions,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Semantic communication: A survey on research landscape, challenges, and future directions,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.733715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.739110Z digest=sha256:7a5b247db34deaae49e8c8c9dbee8e3487b687c1acce292fe351432b6625d28e

Observation b4b43aaa-9f5e-423b-a560-755085400863 · outbound

This paper cites Goal-oriented communications for the IoT: System design and adaptive resource optimization,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Goal-oriented communications for the IoT: System design and adaptive resource optimization,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.717358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.743326Z digest=sha256:d0a9f52ca929670e82c423db64f25641570c39d6917e6c1a2aaea238545e8e37

Observation 4f933f08-5f9f-4395-9eb4-74345ef3dd91 · outbound

This paper cites Goal-oriented communications for the iot and application to data compression,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Goal-oriented communications for the iot and application to data compression,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.702567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.747740Z digest=sha256:2adcf59237abe18771459587f0b7a75a69d3e82f3c9b9df3c84a844efcf343af

Observation 2c0cbad0-ecb5-4fce-9de0-72a0f624a721 · outbound

This paper cites The role of fidelity in goal-oriented semantic communication: A rate distortion approach,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications The role of fidelity in goal-oriented semantic communication: A rate distortion approach,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.687244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 002ead06-f97b-48ea-b205-898059e8cb1e · outbound

This paper cites Multi- user goal-oriented communications with energy-efficient edge resource management,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Multi- user goal-oriented communications with energy-efficient edge resource management,

Reference 16

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raw_fallback, observed 2026-08-06T14:45:04.671006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.756647Z digest=sha256:f96ffa1cfb2b72da94b8695655164513bb18f2ac0f8bb20370e3373ae4149e9f

Observation 0e89e79f-fdc7-4dd9-a077-2e2be96f3512 · outbound

This paper cites 6g goal-oriented communications: How to coexist with legacy systems?.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications 6g goal-oriented communications: How to coexist with legacy systems?

Reference 17

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raw_fallback, observed 2026-08-06T14:45:04.655547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.761099Z digest=sha256:a635b5802149564a58910827131afab24ebc34bdd9b9208b0b67ef5dca7399b3

Observation 4295116b-23d4-4d5b-98bc-08509f3d52d3 · outbound

This paper cites Learning task-oriented communication for edge inference: An information bottleneck approach,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Learning task-oriented communication for edge inference: An information bottleneck approach,

Reference 18

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no resolver link, observed 2026-08-06T14:45:03.765279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09691635-a69c-4e48-9f86-eeaaf2ef9608 · outbound

This paper cites Semantics-empowered communication for networked intelligent systems,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Semantics-empowered communication for networked intelligent systems,

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.769521Z digest=sha256:ee24fc332826e74bfc7de58644294a9c733af1c73bb13d686ea42543e0e16d81

Observation 717b1f96-1217-447b-b049-f32a129694d9 · outbound

This paper cites Wireless edge machine learning: Resource allocation and trade-offs,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Wireless edge machine learning: Resource allocation and trade-offs,

Reference 20

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raw_fallback, observed 2026-08-06T14:45:04.617858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 63790dc2-11bb-4ffe-8e9c-a5a1576270dd · outbound

This paper cites Deep task-based quantization,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Deep task-based quantization,

Reference 21

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raw_fallback, observed 2026-08-06T14:45:04.601757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.778000Z digest=sha256:a7eac190c8432e4ede01a0301fbd7f1b65dd172fabf0d530ecb433714c2165b0

Observation 62b6bac9-10fb-4604-a69a-930d1642f8ef · outbound

This paper cites Dynamic resource allocation for multi-user goal-oriented communications at the wireless edge,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Dynamic resource allocation for multi-user goal-oriented communications at the wireless edge,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.782201Z digest=sha256:5bd6140bb91e3048a9085537af6b669136e2fe3a8e948e7c4544d9a8b62580d4

Observation 1edbd844-32c7-4e71-b7a1-16993cad3694 · outbound

This paper cites Adaptive resource optimization for edge inference with goal- oriented communications,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Adaptive resource optimization for edge inference with goal- oriented communications,

Reference 23

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raw_fallback, observed 2026-08-06T14:45:04.573084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.786445Z digest=sha256:d2651c97df84b7e67cc4ab642f1eabf77c4a272dc7c9aa7e470892daacdf93d4

Observation f94521ee-78bd-46bd-b86b-d10e8f425f7d · outbound

This paper cites Language-oriented communication with semantic coding and knowledge distillation for text-to-image generation,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Language-oriented communication with semantic coding and knowledge distillation for text-to-image generation,

Reference 24

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raw_fallback, observed 2026-08-06T14:45:04.558083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.790840Z digest=sha256:b428524c8c88ee96b5087d1fcadba9a21f860e9baef4c97290f469b316d89657

Observation 4588a02b-9163-4f88-9009-a1845fa481a2 · outbound

This paper cites Generative model based highly efficient semantic communication approach for im- age transmission,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Generative model based highly efficient semantic communication approach for im- age transmission,

Reference 25

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raw_fallback, observed 2026-08-06T14:45:04.542775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.795317Z digest=sha256:f5963a8b92dbcaa9643225ada43a5f86a8f336aa0032d832290eeca5b10e2f07

Observation dc93d373-79f5-40ee-9f08-362e6f5a4f0d · outbound

This paper cites Semantic communications based on adaptive generative models and information bottleneck,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Semantic communications based on adaptive generative models and information bottleneck,

Reference 26

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raw_fallback, observed 2026-08-06T14:45:04.527968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.799716Z digest=sha256:15d758fe5f58a5524e51af779bb890ce408f789526b2983991e1900ad4ef8ae9

Observation db4e13e1-46d5-4624-bb4d-35f489392a6e · outbound

This paper cites Generative Semantic Communication: Diffusion Models Beyond Bit Recovery.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Generative Semantic Communication: Diffusion Models Beyond Bit Recovery

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.803932Z digest=sha256:4dc768725ee570d95f9baf9e313903c11737d3375fba7b14448af75410a4eee2

Observation ab2cdb20-ee88-404d-9069-6b2a4538e481 · outbound

This paper cites Personalized neural speech codec,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Personalized neural speech codec,

Reference 28

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raw_fallback, observed 2026-08-06T14:45:04.512904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.808896Z digest=sha256:4da7a3026a74d3fc9e50b504c2abdabeb677ece0f8a570492f5fcd15a5da983f

Observation 5af22284-cb53-4e3e-8b35-71a80449f7af · outbound

This paper cites Dif- fusion models for audio semantic communication,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Dif- fusion models for audio semantic communication,

Reference 29

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raw_fallback, observed 2026-08-06T14:45:04.497858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.813255Z digest=sha256:e1dac27838644621284c87c74e0601e992a249750eb9a6eca8a04448bc3fbf4e

Observation 160af86e-43ab-48d1-9166-efe808984dee · outbound

This paper cites Wireless image re- trieval at the edge,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Wireless image re- trieval at the edge,

Reference 30

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raw_fallback, observed 2026-08-06T14:45:04.482113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.817741Z digest=sha256:e8e068031a26749f55dc0d9ae0595a8ad55d857b8c89162177dc2b09b55881b4

Observation ebc441b4-5396-4ff7-802f-965473b51226 · outbound

This paper cites Semantic communications: Overview, open issues, and future research directions,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Semantic communications: Overview, open issues, and future research directions,

Reference 31

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raw_fallback, observed 2026-08-06T14:45:04.467392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.822097Z digest=sha256:ce0b3a772325416b46e180b5d727d57d77ffcc97ca02c4fb0a4f72d84a2503e1

Observation aa1f8e93-8370-447f-8053-4cd836aaabe6 · outbound

This paper cites Manifold alignment without correspon- dence.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Manifold alignment without correspon- dence

Reference 32

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raw_fallback, observed 2026-08-06T14:45:04.452842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.826645Z digest=sha256:72efc44f8e880d995991f19386d29d79994829a900a4c8da4163be8934badef2

Observation 1299e033-38da-45c4-a317-7246c3e851f7 · outbound

This paper cites The pyramid match kernel: Discriminative classification with sets of image features,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications The pyramid match kernel: Discriminative classification with sets of image features,

Reference 33

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raw_fallback, observed 2026-08-06T14:45:04.437853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.831052Z digest=sha256:6a2be6b3c7bb5177f623b8e37a439a7029df3fbbcfcfab85e9b0104dd3345b55

Observation 981c12bd-6a8c-4f98-b8cd-585cc61035a5 · outbound

This paper cites Feature correspondence via graph matching: Models and global optimization,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Feature correspondence via graph matching: Models and global optimization,

Reference 34

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raw_fallback, observed 2026-08-06T14:45:04.422816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.835535Z digest=sha256:c3b8fa533899c09150914ed53c89bf22ab24a0ce17fae4bdd7c8bb64946b30d6

Observation d8e04a08-f59e-4534-9347-34a782f4cf42 · outbound

This paper cites Semantic channel equalizer: Mod- elling language mismatch in multi-user semantic communications,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Semantic channel equalizer: Mod- elling language mismatch in multi-user semantic communications,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.406906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.840060Z digest=sha256:1ba6410e209432c6a506e0acccade0e15899eec9da090d62edd3f272cb151973

Observation f5cdc856-827e-4d03-abe3-9548c42b2349 · outbound

This paper cites Soft Partitioning of Latent Space for Semantic Channel Equalization.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Soft Partitioning of Latent Space for Semantic Channel Equalization

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:45:04.069979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.844796Z digest=sha256:6e654e9b435ddc1691d29b51702d595061e0d95946f9727e51222956a09482ea

Observation 6eb3f75c-8490-48cd-8029-dbefa0c2efec · outbound

This paper cites Relative representations enable zero-shot latent space communication.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Relative representations enable zero-shot latent space communication

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.849584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.849584Z digest=sha256:8df37bc1cea960826c6b07106a3ba681e71f020f5150d2853f5c1cfdc7c0f9ec

Observation 62111bbb-361a-4f3c-bc5d-dacc0342d660 · outbound

This paper cites Zero-shot stitching in reinforcement learning using relative representations,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Zero-shot stitching in reinforcement learning using relative representations,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.391534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.854404Z digest=sha256:036e0335f86277bd98a62cacc05fda5cfa6708308793fc496c5a33b0fd27df2e

Observation ed590e92-c37d-452b-8cea-6498f99b514b · outbound

This paper cites From bricks to bridges: Product of invariances to enhance latent space communication,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications From bricks to bridges: Product of invariances to enhance latent space communication,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.376549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.859660Z digest=sha256:92346deb5b9376e4c92495f5f49ac10221a9c0d76097c95049087710ceeea9de

Observation 69ded2aa-dd89-46f7-80fc-f956d542d543 · outbound

This paper cites From charts to atlas: Merging latent spaces into one,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications From charts to atlas: Merging latent spaces into one,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.361598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.864563Z digest=sha256:30ff9dc071d09860b7eb84b2f9efb02bf22a043deacaa45ed37cd9dbd7ed2dd0

Observation fe574845-6e79-45f5-86be-eef7d3e071d7 · outbound

This paper cites Asif: Coupled data turns unimodal models to multimodal without training,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Asif: Coupled data turns unimodal models to multimodal without training,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.346580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.869045Z digest=sha256:e902f1578add8a613ddfda81ad7889f8e33aab687965eaa6961a913597922256

Observation c110b0d5-e01b-4788-a719-8a622f4fb9c7 · outbound

This paper cites Latent Space Translation via Inverse Relative Projection.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Latent Space Translation via Inverse Relative Projection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.873600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.873600Z digest=sha256:dab44fc8a35758575d97ea85acf7e491736f4cc39d66607aa7cd6925b9d11dda

Observation 7b037b16-3529-4fd9-8d4b-0f03388c095d · outbound

This paper cites Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.878204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.878204Z digest=sha256:359a819643d262289908a624ff78953ba41affc49d0be4218ac3556afcd1dc33

Observation 04469a90-fb85-4144-9a0a-71256a11de6e · outbound

This paper cites an unresolved cited work.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:45:04.331244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.883207Z digest=sha256:0c4254e54c6960064852aec2d88448637c2c7fea1d119d2af67243df52f6adfe

Observation c3ab6dad-ec65-4d82-b32b-da1391f992e5 · outbound

This paper cites Latent Communication in Artificial Neural Networks.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Latent Communication in Artificial Neural Networks

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:45:03.993906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.887833Z digest=sha256:18b80d1ff283928a6e90fe49e4487c39b73a6bbd606842fc90b00dfab9f26983

Observation c11b4d63-4ae6-437d-b16b-8d3b6798a7ec · outbound

This paper cites an unresolved cited work.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:45:04.315580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.892844Z digest=sha256:094a7496c7d5aff763e4b63de64707981f029992993148c58204296dcc6f9ebf

Observation bb4c6507-c92a-4c64-b28e-a9630de99424 · outbound

This paper cites Han, Frames for undergraduates.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Han, Frames for undergraduates

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.299065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.897387Z digest=sha256:3e16aebfa84a4f8897fed62b1d7de88df5d54c64d35945b853f06e4893fbce4d

Observation d854b58f-4668-416d-9634-3682047f1efc · outbound

This paper cites an unresolved cited work.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:45:04.283454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.901939Z digest=sha256:ee2e050940fe04ecffcf19dea9694a96556a75c87c52dc43ca88123d4dd8f6b7

Observation 3fcdcec1-dd40-43c1-8020-2626764643aa · outbound

This paper cites Ten pairs to tag- multilingual pos tagging via coarse mapping between embeddings.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Ten pairs to tag- multilingual pos tagging via coarse mapping between embeddings

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.267507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.906406Z digest=sha256:a064872f2384cb7cedb059b9afa9a99871d6949fba832080f15b9c3c3dbd697b

Observation 215d9bcb-acac-4463-b564-3561e9db73b7 · outbound

This paper cites Learning bilingual word embed- dings with (almost) no bilingual data,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Learning bilingual word embed- dings with (almost) no bilingual data,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.252812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.910950Z digest=sha256:85d4f4e89d0ca72310971b8ac44cb243f708d9bef01b6306334926faaa760998

Observation 1f1bb0f0-f551-494a-a22a-dfe45a2cbc61 · outbound

This paper cites Towards optimal transport with global invariances,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Towards optimal transport with global invariances,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.237675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.915456Z digest=sha256:7a42c6cb6782eec70c64d5d8f8840adb8fb1f167001dafd4281bf676701bb177

Observation 0da27da1-ff3b-4486-8d50-854eb8a24272 · outbound

This paper cites an unresolved cited work.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.920197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.920197Z digest=sha256:6558db1ade241f0b1a6316df9da2272b6326217bb3ba5980a1d964d7604f0290

Observation fbd72ccf-5cdc-4946-9499-c42038c5925a · outbound

This paper cites A generalized solution of the orthogonal procrustes problem,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications A generalized solution of the orthogonal procrustes problem,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.924555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.924555Z digest=sha256:c252acbf555a069c9d03d952366f1b8e4673e1f92286fd105ca5bdf4c2207cf6

Observation 79ff4ff3-86b3-4930-99ca-3e18f1e26df2 · outbound

This paper cites Processor design for portable systems,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Processor design for portable systems,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.929075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.929075Z digest=sha256:c48a0cd81e8d616c217d0fa2430fda8a6bcdebab9f8880db7236e25c42ec50b4

Observation baaf772c-2daf-4e31-bb57-292ed033b928 · outbound

This paper cites Brochard, V.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Brochard, V

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.193519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.933577Z digest=sha256:7cc6bdf375190abc9d4f7455aa35bbe1049eb177acf10cec591a45c15ad0d135

Observation 046cd794-a6d5-47e2-aca5-3901c25a4def · outbound

This paper cites an unresolved cited work.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.938137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.938137Z digest=sha256:81c3e822dc6cca9c0764bfe19168221a6fac19bb43fc93464e7fc426bb885b63

Observation 499e872a-02fe-478d-8497-9ebb4e635c80 · outbound

This paper cites Pytorch image models,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Pytorch image models,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:03.942605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:03.942605Z digest=sha256:107eb83edabb42f46c1b4246ee687d06e3a3eb8b2c54eaa151b2f4f0880ae769

Observation a707ad1a-d7b7-4764-a620-9795a9cf9f49 · outbound

This paper cites Hugging face’s tiny-imagenet repository,.

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications Hugging face’s tiny-imagenet repository,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:45:04.158433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:45:03.947080Z digest=sha256:fc9b3a40d1799f97a2790835a7415f859c0850581829fb6b4b133357acde0172

Pith citing papers

Observation 4f2d8392-ac74-4819-a245-2a88b8db173c · inbound

Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory cites this paper.

Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T16:11:40.096613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:11:40.096613Z digest=sha256:92644984d6e039ec39c58c231f3cd47c6126f11b07ced07c6f13db8fc3e6f2d3