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Paper Citation Record · LEDGER

AI-driven 3D Spatial Transcriptomics

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.17761.

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

pith.paper-citation-record.v1
2502.17761 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:03:59.880535Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation abef5d43-079b-4330-a38f-9c22e10b75a8 · inbound

Evolutionary Paradigms in Histopathology Serial Sections technology cites this paper.

Evolutionary Paradigms in Histopathology Serial Sections technology AI-driven 3D Spatial Transcriptomics

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:59.880535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:59.880535Z digest=sha256:0add24c01f2651953f30bb54d7d51dc16c4ca3205e80cb9d2575348e9c47cfbb

Observation 0cf131ca-44e2-413d-afd5-a3fd854fa5c9 · inbound

Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation cites this paper.

Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation AI-driven 3D Spatial Transcriptomics

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:34:18.247690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T06:28:08.379164Z digest=sha256:7e1257e1069c4b46079304da51dcb63be4aca621a3263e76839f5a6606e97bf0