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Paper Citation Record · LEDGER

Score-based Causal Representation Learning: Linear and General Transformations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.00849.

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

pith.paper-citation-record.v1
2402.00849 v5

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:57:06.108333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:11:10.622533Z

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 01dbb8e7-a9af-4ed5-be30-822cf3676ff7 · inbound

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement cites this paper.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Score-based Causal Representation Learning: Linear and General Transformations

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T14:57:06.108333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:57:06.108333Z digest=sha256:3e6d4dc83e88c84eae2323c16947ea4b1debfaaed4037f6b463a9637b474f259

Observation 52254f06-7e95-42ba-8536-f8f75266b908 · inbound

A General Representation-Based Approach to Multi-Source Domain Adaptation cites this paper.

A General Representation-Based Approach to Multi-Source Domain Adaptation Score-based Causal Representation Learning: Linear and General Transformations

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:10.634178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T06:37:35.752520Z digest=sha256:b1c4d87d0539f99e5f18a31aedef20bf689feec90aecfabed976fb6603b4f197