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Paper Citation Record · LEDGER

Causal machine learning for single-cell genomics

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.14935.

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

pith.paper-citation-record.v1
2310.14935 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:06:08.524971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:23:48.053001Z

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 2c11ba45-4faa-4332-b293-dfa84908bfb5 · inbound

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications cites this paper.

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Causal machine learning for single-cell genomics

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-12T00:06:08.524971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:06:08.524971Z digest=sha256:f7443805314e1f40bb21aae7fb13befbc1f034138e0f7d0f03fe0dd9720fe86c

Observation bec74b7a-5174-4945-bc3b-bf2749983f0c · inbound

A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following cites this paper.

A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following Causal machine learning for single-cell genomics

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:09.104464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:09.104464Z digest=sha256:85b676d12dd922d057ab6fa5c9366e6ca3eddec2bdfdf56a2e44d92bb3a7a097

Observation 8ffc4306-0095-49ad-a489-7c7194289146 · inbound

Interpretable Causal Representation Learning for Biological Data in the Pathway Space cites this paper.

Interpretable Causal Representation Learning for Biological Data in the Pathway Space Causal machine learning for single-cell genomics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:07.781786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:07.781786Z digest=sha256:b24a3ca785fa031ba8998e870619921522bcc74d06559c596a5967788cd4b8e0

Observation 38de4d67-84f3-43a3-8750-17b9fd6369a2 · inbound

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning cites this paper.

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning Causal machine learning for single-cell genomics

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T18:49:58.324198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:49:58.324198Z digest=sha256:675e607809a75cc6baadb423e28679f5ee00886dfe714013d4f4a5f946a4f522

Observation e9585dc2-b973-4cd5-be87-186dbddcc231 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Causal machine learning for single-cell genomics

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:27.260854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T01:20:12.816671Z digest=sha256:7d39cb3dfc353dc5adc3fc3d231aa73589cf7d13dc207752420a45bc4b5f8914

Observation c581c1b9-a271-4195-817c-e4c438ee70d1 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Causal machine learning for single-cell genomics

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:59.116029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-14T20:49:26.890463Z digest=sha256:ae0b62cfed27361ab852338709831835d81942e61d17c729801a2f64ebe6e673

Observation 383dd58b-f5f3-482c-b8a0-edce6f7ec2c6 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Causal machine learning for single-cell genomics

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:48.056125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-20T22:20:03.150386Z digest=sha256:c3b494930d95a545c947b670c088354078d27267e553686f92222b0af92374be