Pith. sign in

Paper Citation Record · LEDGER

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.15117.

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

pith.paper-citation-record.v1
2310.15117 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:55:18.357551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:16:44.665872Z

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 6cb9959c-1566-46e2-bb4b-a4e7a126c608 · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 276

Resolution
unresolved
no resolver link, observed 2026-08-11T19:52:05.000736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:05.000736Z digest=sha256:6cbd4946e00d12250c10c6eda659a4814e2e2994a6fd08a041214319eb206830

Observation 943ef52d-0b36-42d9-8974-58f101a2fd0f · inbound

MedG-KRP: Medical Graph Knowledge Representation Probing cites this paper.

MedG-KRP: Medical Graph Knowledge Representation Probing Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T15:29:24.835197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:29:24.835197Z digest=sha256:d75d877bcd0c6b091c74b7b3c16680b573db38fb22f6eb11681c7eeeb236c82b

Observation 7debe066-cbb7-4844-9249-c72975ace809 · inbound

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation cites this paper.

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:54.357554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:54.357554Z digest=sha256:de42197fd9c6f9539df5a8acc32004d206a799e3d25ac7bd5764b9fc09ecbe4c

Observation 605cd974-6cf8-463b-973e-02255f68aa30 · inbound

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data cites this paper.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:18.357551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:55:18.357551Z digest=sha256:7415c101e1a357d1e38cfbefd78b771a06eafdbff3004f8383923140dd7d2f30

Observation 5721fb80-a41f-49ec-8bbd-6baeaef0e37f · inbound

Causal DAG Summarization (Full Version) cites this paper.

Causal DAG Summarization (Full Version) Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-16T11:49:12.199144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:49:12.199144Z digest=sha256:5da6d4fa6f21fd53af45b49b5fdecb37f5a900592616f44c7dcc1e05e07c1db8

Observation 101d6d93-9092-4880-958d-1f442ca538b7 · inbound

A Survey on Agent Workflow -- Status and Future cites this paper.

A Survey on Agent Workflow -- Status and Future Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T05:52:41.813790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:52:41.813790Z digest=sha256:378569130c553f4ee233dceced16b78ed6fe1e3f84abe73ce38c33d1d7161d94

Observation 38b9c4a4-037f-4743-9b3c-9898c014b163 · inbound

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution cites this paper.

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:15:09.107642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-01T00:12:46.618473Z digest=sha256:1c88898f04430ff22ea649296300ddc6d36c6e9d419b466c723d19b81059cb60

Observation 3d887ad6-141e-4956-8a3f-9b5661f9ff2d · inbound

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market cites this paper.

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.212459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T19:04:48.045170Z digest=sha256:195c7837b00fa8fdeb6d03228b709bffdd93e9044f6f811883d5439d6559461f

Observation 6c9d7f33-6f69-4f52-9474-dc7c1700927a · inbound

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market cites this paper.

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T05:11:17.862225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:11:17.862225Z digest=sha256:78d3cc6b46434d48536edcf93a02180ec51dd83c2eb98283b1dd1a940ba65652

Observation 6303e032-3e53-42f6-bc06-55a7358abd84 · inbound

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems cites this paper.

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.668634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-28T07:02:54.076784Z digest=sha256:03142ac1c5f5f99cc38461ec833c409147d423777d7a00be30a7fde84722ee80