Paper Citation Record · LEDGER

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2411.19385.

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

pith.paper-citation-record.v1
2411.19385 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:19:26.237099Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy12
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7c10c14-41bf-4c5f-be6c-0aefde548b88 · outbound

This paper cites From connected people, connected things, to connected intelligence,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks From connected people, connected things, to connected intelligence,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.450497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45e51c1e-050a-4922-ab7f-f02df44a37d0 · outbound

This paper cites Tong and P.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Tong and P

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.438482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee06b001-ad84-42cc-95ef-ad8f920f0d76 · outbound

This paper cites Deep learning enabled semantic communication systems,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Deep learning enabled semantic communication systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T10:19:26.175527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffcbfb8-0753-4999-bf30-a9fd96f9289a · outbound

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

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Semantic communications: Overview, open issues, and future research directions,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:19:26.179359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e156918b-c728-4e01-8c48-a3e8026bbec8 · outbound

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

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Deep joint source- channel coding for wireless image transmission,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:19:26.183350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c5130d-b8a7-44ad-8ea8-70673916a42e · outbound

This paper cites Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:19:26.187589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0747e94-53a6-497e-971b-bb3d6a6af6ae · outbound

This paper cites Post-deployment fine- tunable semantic communication,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Post-deployment fine- tunable semantic communication,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.401247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8edc904a-f9af-445a-ab68-31c25160cdf1 · outbound

This paper cites Synchronization mechanism: Preliminary attempt to enable wireless semantic communication with heterogeneous knowledge bases,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Synchronization mechanism: Preliminary attempt to enable wireless semantic communication with heterogeneous knowledge bases,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.389852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e9edfe0-590b-4b9d-a623-68f9d0532feb · outbound

This paper cites Semantics alignment via split learning for resilient multi-user semantic communication,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Semantics alignment via split learning for resilient multi-user semantic communication,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.377807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46fd6de0-273d-4adb-96e0-7f433da370ee · outbound

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

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Semantic channel equalizer: Modelling language mismatch in multi-user semantic communications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.365650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bbfbc13-66e3-4101-9fd9-b3fb5a33ab5f · outbound

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

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Dynamic Relative Representations for Goal-Oriented Semantic Communications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:19:26.207412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca545d5-0fdf-42fa-81c9-cfe79d07b449 · outbound

This paper cites Soft partitioning of latent space for semantic channel equalization,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Soft partitioning of latent space for semantic channel equalization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.353564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abf8ef8c-2529-4944-807e-f41729769532 · outbound

This paper cites Supermasks in superposition,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Supermasks in superposition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.340360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66944e0d-eb2e-4121-b7ef-ef6a90b986bf · outbound

This paper cites 5G; Service requirements for next generation new services and markets (3GPP TS 22.261 version 15.7.0 Release 15),.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks 5G; Service requirements for next generation new services and markets (3GPP TS 22.261 version 15.7.0 Release 15),

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.327907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 130d9270-7c8c-43cf-a3a8-6d648a65a4b6 · outbound

This paper cites What’s hidden in a randomly weighted neural network?.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks What’s hidden in a randomly weighted neural network?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.315826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a88b933-4b2c-4ab3-83bc-a09746beac7e · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:19:26.227455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2451575b-b627-402e-bd51-8100321771d4 · outbound

This paper cites Rigging the lottery: Making all tickets winners,.

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Rigging the lottery: Making all tickets winners,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.303753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88b1d864-f391-430b-b8bf-6b27ab9c6fc8 · outbound

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

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks Learning multiple layers of features from tiny images,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:19:26.292123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.