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Paper Citation Record · LEDGER

Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.06169.

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

pith.paper-citation-record.v1
2206.06169 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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:16:27.388824Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.837498Z

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 c2fc8241-f5ef-4f5b-8e8f-074cd4a62ac2 · inbound

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis cites this paper.

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:27.388824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:16:27.388824Z digest=sha256:9ccfac1c2e754137b25e4ace0165ccf8afbfdaaad8fa5eda53dde1eee4dfef2c

Observation c208f4e9-1ac3-42a2-8b4c-1a2f4094e651 · inbound

What Makes a Representation Good for Single-Cell Perturbation Prediction? cites this paper.

What Makes a Representation Good for Single-Cell Perturbation Prediction? Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:08:08.838313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T08:06:41.392876Z digest=sha256:dfe28415837c89b72e0ca4e2bf9323957cc18dbeddb01ee7c564b26efba8b55a

Observation ddaf59c6-6071-4c3c-84e2-7a0efca13283 · inbound

Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction cites this paper.

Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:01.838852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T23:17:42.425127Z digest=sha256:eab0405bd02f807db7849c6e97eb29c2f0970fb73f940a86669b9bb8033ef18c