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Paper Citation Record · LEDGER

Linear Causal Representation Learning from Unknown Multi-node Interventions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.05937.

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

pith.paper-citation-record.v1
2406.05937 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:57:06.104962Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:11:10.585154Z

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 d484b82a-2fb6-417b-a08d-3a110d4680cf · inbound

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

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Linear Causal Representation Learning from Unknown Multi-node Interventions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T14:57:06.104962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:57:06.104962Z digest=sha256:d685fc9f06cf53e9b508e8ea7373c782140ac5c97a464869ced13c30643cd2f2

Observation 818d4688-e19f-4b69-9dd9-f152ab62e30d · inbound

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

A General Representation-Based Approach to Multi-Source Domain Adaptation Linear Causal Representation Learning from Unknown Multi-node Interventions

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:10.601030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T06:37:35.752520Z digest=sha256:86145e9d5ef293c56d934f18eb514834f069620c5c6d37ab0cbd15db30251065