Pith. sign in

Paper Citation Record · LEDGER

Robust Causal Discovery in Real-World Time Series with Power-Laws

As of 14 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2507.12257.

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

pith.paper-citation-record.v1
2507.12257 v4

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:57:16.006167Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cf75f01-9ab8-41b0-9539-278dc8271a8f · outbound

This paper cites Maller, R.

Robust Causal Discovery in Real-World Time Series with Power-Laws Maller, R

Reference 9

Resolution
verified exact
doi, observed 2026-08-06T16:57:16.189363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:57:15.815679Z digest=sha256:fff81cd6724524a65b2e45ced69887fe4d58982f081d33e5d93d96bd004edb8b

Observation 7642206f-2e09-47c0-9e39-57b45f5a6b1a · outbound

This paper cites CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training.

Robust Causal Discovery in Real-World Time Series with Power-Laws CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-06T16:57:15.617052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:57:15.617052Z digest=sha256:6a487a52fb275ec5b1f121250661754889d5ad6aa6bd323a305288b9f170a8b1

Observation 26edd045-f45e-4bff-b68b-ce61dd4a2292 · outbound

This paper cites Proekt, A., Banavar, J.

Robust Causal Discovery in Real-World Time Series with Power-Laws Proekt, A., Banavar, J

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T16:57:15.910029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:57:15.910029Z digest=sha256:9609a8e78391a9125d44703b8336e7c87a763c44c33b135e197de7df4e275f5f

Observation 431565d3-624d-47c3-92f6-8c4046a3590f · outbound

This paper cites low", "mid.

Robust Causal Discovery in Real-World Time Series with Power-Laws low", "mid

Reference 6123

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:57:16.653820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:57:16.006167Z digest=sha256:19f87a9631dae1012cd3c9f73f13425497c89efd2286a5f893e5f170cb3f5fe5

Observation 1e9a9edd-7e6e-44ff-b152-d76031c27550 · outbound

This paper cites an unresolved cited work.

Robust Causal Discovery in Real-World Time Series with Power-Laws Unresolved cited work

Reference 6350

Resolution
verified exact
doi, observed 2026-08-06T16:57:16.369003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:57:15.687560Z digest=sha256:4916c9337bd96e0a8830c294a7b569bde1e9c3ec5972f0cc9dff0bf69c34dbd3

Pith citing papers

No inbound Pith citation observations are available.