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Paper Citation Record · LEDGER

Causality for Machine Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1911.10500.

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

pith.paper-citation-record.v1
1911.10500 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:47.081246Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:30.307689Z

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 ce7360c0-08ce-4081-8619-f35f2d8f7271 · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Causality for Machine Learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:33:21.171791Z

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=2026-05-11T11:33:20.892688Z digest=sha256:2ad547eb3183cccde5e1609a98a00fbbb60362b01cf8ec92e3e20f782f272bb7

Observation 3b60646a-e82f-4e59-a91d-c853ef534de9 · inbound

Mitigating Spurious Correlations with Causal Logit Perturbation cites this paper.

Mitigating Spurious Correlations with Causal Logit Perturbation Causality for Machine Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:47.081246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.081246Z digest=sha256:ff1d946e3aaf4d73625310e181d700cbda997146db00f71c9e259b5ebf3dae35

Observation ae1ab6cf-6877-450a-a729-6dc2e0f02164 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Causality for Machine Learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:51.403071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:51.403071Z digest=sha256:a3fd8c8eff1f5fac5d0fc774d6d1b73e3d625f7c0228dd5930ed176058f09289

Observation 04160df1-c7a0-46ab-bbd3-7adae24860f9 · inbound

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty cites this paper.

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty Causality for Machine Learning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:13:36.103164Z

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=pdf_text observed=2026-06-29T16:08:23.588699Z digest=sha256:c1305de8be93b0556a490460052bacfa020d76ceee1aa7e2b36b51402cbe4186

Observation 5aba5d79-7ef3-4b02-a876-08b6d9df6c8d · inbound

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty cites this paper.

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty Causality for Machine Learning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.232092Z

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=pdf_text observed=2026-06-30T11:18:08.362562Z digest=sha256:46889c697c93c4e3bfc6563bfb0a4a53e20151ff513683a2237921cc484bb9c9

Observation 56371fa5-732e-44be-a49a-b035e058a07a · inbound

Sensorimotor World Models: Perception for Action via Inverse Dynamics cites this paper.

Sensorimotor World Models: Perception for Action via Inverse Dynamics Causality for Machine Learning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:09:30.309235Z

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=pdf_text observed=2026-06-26T18:21:51.580903Z digest=sha256:7faac2e14b5b75925a1c0bba5334bcde5841a46f9fcc5204f520b2778252752e