Pith. sign in

Paper Citation Record · LEDGER

Just Trial Once: Ongoing Causal Validation of Machine Learning Models

As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2502.09467.

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

pith.paper-citation-record.v1
2502.09467 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:30:18.958635Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

21 of 21 outbound references displayed

  • verified exact4
  • verified fuzzy10
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0180a5d0-38fc-401d-a62b-7e761d21e3ba · outbound

This paper cites Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.513779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.892642Z digest=sha256:ae6c2779ecc6791ae4de03026345617b6dbeec20bb0169383704fe5c079b3de3

Observation 8cb96982-7025-4b38-b0e7-8e90694e6a2a · outbound

This paper cites Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.503458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.897103Z digest=sha256:1e5845946cbff922a1e7c3cde13d3fc0edf0aa98cca735f1ba90ddd6d14b712c

Observation e7077167-9724-4e13-b139-23f31d0ca92a · outbound

This paper cites Safe policy learning through extrapolation: Application to pre-trial risk assessment.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Safe policy learning through extrapolation: Application to pre-trial risk assessment

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.492880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.901278Z digest=sha256:422e2f1fcc90216d9433b12831dda98783567e4eb371754602ff6886f1c1abd5

Observation 838dc229-ebad-491f-9670-092cee50154b · outbound

This paper cites Shashikumar, Atul Malhotra, Robert L.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Shashikumar, Atul Malhotra, Robert L

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T21:30:18.905334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:30:18.905334Z digest=sha256:412a92e9bec5746b27e379c92acfeeaadb37c469bf68cec5250ea8092dd88fd3

Observation a1c37025-8f55-4a64-9f3c-3b04083cc038 · outbound

This paper cites Artificial intelligence and machine learning ( AI / ML )-enabled medical devices.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Artificial intelligence and machine learning ( AI / ML )-enabled medical devices

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.482689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.909645Z digest=sha256:132bccf0359fe68385329407e12716eb7dc00a5cfd092be0738373c298056fc2

Observation e98e068b-d2ca-4113-8469-9d03ce4938a3 · outbound

This paper cites Gohil, Edward Septimus, Ken Kleinman, Neha Varma, Taliser R.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Gohil, Edward Septimus, Ken Kleinman, Neha Varma, Taliser R

Reference 6

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T21:30:19.375620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.912977Z digest=sha256:1895105375fff9e92f9128bfca042601ead0bfa996a93b34bc74b9386735d53f

Observation 94470895-6bf2-4b49-b6de-10e6a5308aa9 · outbound

This paper cites Gohil, Edward Septimus, Ken Kleinman, Neha Varma, Taliser R.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Gohil, Edward Septimus, Ken Kleinman, Neha Varma, Taliser R

Reference 7

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T21:30:19.204444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.916596Z digest=sha256:1e582602502683c3a3a2064bd33c7ba04e29477e4461434f5eadd756a9572659

Observation cb5d5dd2-b17a-4fab-b7d0-59c1d09ee520 · outbound

This paper cites Randomised controlled trials evaluating artificial intelligence in clinical practice: A scoping review.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Randomised controlled trials evaluating artificial intelligence in clinical practice: A scoping review

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T21:30:18.919618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:30:18.919618Z digest=sha256:99be14da25b86798eff33a4cbb470df281a7974359524f9c2e8e53dd07a0d3df

Observation 72ba47cc-69f4-4c7c-a1bd-0e815c7286d2 · outbound

This paper cites Experimental evaluation of algorithm-assisted human decision-making: A pplication to pretrial public safety assessment.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Experimental evaluation of algorithm-assisted human decision-making: A pplication to pretrial public safety assessment

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T21:30:18.988435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.922788Z digest=sha256:5f9bf7977f76bfdfb638ced8c0d018804289954a9912583702ac18f716df4b46

Observation ae2ef9e5-f87d-4bfc-b5de-9926078cba79 · outbound

This paper cites AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.473094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.925915Z digest=sha256:25f081a0caae82be9bd7942d71afc37153d8808cd1d186d583c6f064cc251d12

Observation 33341759-3cc8-425e-8a01-51d22c8d225f · outbound

This paper cites A potential outcomes calculus for identifying conditional path-specific effects.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models A potential outcomes calculus for identifying conditional path-specific effects

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.463391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.928729Z digest=sha256:ed28b51363d80412bb65031dd6abaea652dbf7bbd7121b95a0c4550311c9daca

Observation e478ef5c-dfa6-4ad5-bae5-03284e3ce89f · outbound

This paper cites We need more randomized clinical trials of AI , 2024.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models We need more randomized clinical trials of AI , 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.454630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.931376Z digest=sha256:61e85c0a08954ed724b0a504c13721208e99f3619643ae836c8fb27ccb6cc379

Observation 6403bf3b-735a-4d6f-8643-222f81b4f68f · outbound

This paper cites Causality.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Causality

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T21:30:18.934293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:30:18.934293Z digest=sha256:583ee2fc356ed7aaf49ed9b1f041ecc505e60bb58ee820421b663ab37fd98ade

Observation 1cd51d28-19ee-430b-a1ee-33ef86b7eb2e · outbound

This paper cites Probabilistic reasoning in intelligent systems: networks of plausible inference.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Probabilistic reasoning in intelligent systems: networks of plausible inference

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T21:30:18.937020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:30:18.937020Z digest=sha256:6dcfd4f0e6eea67ef0d0f5e7264a81f3ea0e93f5fcdf8d21384a8fcaf719d1e3

Observation 31224967-32e9-4c7d-bf97-d2559b3c364c · outbound

This paper cites Transportability of causal and statistical relations: A formal approach.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Transportability of causal and statistical relations: A formal approach

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.433290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.940209Z digest=sha256:eced283612efc1fd36e91038473dd8c437af9c510c1973eb2ec111d4846b5505

Observation 6182cbd6-70f5-4db1-b821-f140a7ab9622 · outbound

This paper cites Single world intervention graphs ( SWIG s): A unification of the counterfactual and graphical approaches to causality.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Single world intervention graphs ( SWIG s): A unification of the counterfactual and graphical approaches to causality

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.423000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.943237Z digest=sha256:a87600af916856dd46f0f6bacfb0bc23801b401f888c8e7d61b0aa972e78d17a

Observation 7da32053-fa5b-469d-a92e-e3e2b62c0a76 · outbound

This paper cites Real-world integration of a sepsis deep learning technology into routine clinical care: Implementation study.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Real-world integration of a sepsis deep learning technology into routine clinical care: Implementation study

Reference 17

Resolution
malformed identifier
doi_truncated, observed 2026-08-07T21:30:19.412356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.946191Z digest=sha256:12bf93dc6b2dae792d6337984659903f2b9993b71464d4847724c24cc950037a

Observation 8dd24e86-c766-436f-ae8f-8e6acee2fab2 · outbound

This paper cites The use of propensity scores to assess the generalizability of results from randomized trials.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models The use of propensity scores to assess the generalizability of results from randomized trials

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:30:19.401882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.949174Z digest=sha256:4555cfe020e1ed3dc8031f4cc33f8351ca44e6925991218282567ed147931f15

Observation f6dff4d6-33d6-4d14-98ef-18243337a3db · outbound

This paper cites A Review of Off-Policy Evaluation in Reinforcement Learning.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models A Review of Off-Policy Evaluation in Reinforcement Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T21:30:18.952146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:30:18.952146Z digest=sha256:88c207261415786d46b54a2783a65bc2f95e027a49b58b4e5e84e561c8970555

Observation 7c0c70c5-acc6-4add-bea5-122a4b9b97e1 · outbound

This paper cites Akerman, Thomas H.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Akerman, Thomas H

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T21:30:19.391626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T21:30:18.955608Z digest=sha256:5a1f32de355545d5436a57344d1148d5ec3637780915b47a57335f7fd8b251f5

Observation 43b591ee-33f0-4ea4-8d32-b29972410382 · outbound

This paper cites an unresolved cited work.

Just Trial Once: Ongoing Causal Validation of Machine Learning Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T21:30:18.958635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:30:18.958635Z digest=sha256:1eb344408e17e58cf4079ff2ba6a1a41e817302bc4a5b6405a8c3a6dbf625d66

Pith citing papers

No inbound Pith citation observations are available.