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Paper Citation Record · LEDGER

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.15156.

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

pith.paper-citation-record.v1
2311.15156 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:32:57.810757Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:16:05.540338Z

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 4ec75036-2c2e-4274-af93-1acea6ec3af1 · inbound

Emerging AI Approaches for Cancer Spatial Omics cites this paper.

Emerging AI Approaches for Cancer Spatial Omics xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T21:32:57.810757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:32:57.810757Z digest=sha256:e3ce763554e4ec90d8c690cfadd9ec680aba0a964efbce2090a1b8cd855ad3c3

Observation 73cd1a89-f90b-44e8-8f33-79297c5afae1 · inbound

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes cites this paper.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:40.667592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.667592Z digest=sha256:4eb25d7c28762f0b82d9199d4bd8cf345fca3852b9c81dbb8124161ba3a68289

Observation ab1e974e-e072-4a32-a735-648d929c2e6d · inbound

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics cites this paper.

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:16:05.661150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:15:59.853172Z digest=sha256:b2030373736ecbe9e0d7c31003a65b55abd6faecd0305c79d39667aacd20f34f