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Paper Citation Record · LEDGER

Soft Partitioning of Latent Space for Semantic Channel Equalization

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.20085.

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

pith.paper-citation-record.v1
2405.20085 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:03.844796Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:45:04.064154Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications cites this paper.

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:45:03.844796Z digest=sha256:23ce95dd43be57bbc02dae2e3c67d3ff5a6dde0a9b8f4a0e5d935b709d4c53a6