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Paper Citation Record · LEDGER

Conformal C2ST: Turning weak classifiers into strong two-sample tests

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2507.17026.

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

pith.paper-citation-record.v1
2507.17026 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:06:15.426148Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b144cb6-2a68-4931-abf6-ca4b237df95b · outbound

This paper cites A two-sample conditional distribution test using conformal prediction and weighted rank sum.

Conformal C2ST: Turning weak classifiers into strong two-sample tests A two-sample conditional distribution test using conformal prediction and weighted rank sum

Reference 1

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unresolved
no resolver link, observed 2026-08-06T15:06:13.810918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:13.810918Z digest=sha256:ba2a7ba609ce212a7b1f197876f5465beebe64421b9c969e022297ddf547a57d

Observation 6e7baa52-f12f-45b5-88e8-8740974fe3e5 · outbound

This paper cites Denoising diffusion probabilistic models.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Denoising diffusion probabilistic models

Reference 2

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unresolved
no resolver link, observed 2026-08-06T15:06:13.894894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:13.894894Z digest=sha256:2fc6928d45003c75dc790a95958783271efe04780c59931649b1a03b9b3174f5

Observation a4ff8693-5918-4663-87ed-a78c46a09106 · outbound

This paper cites Compositional score modeling for simulation-based inference.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Compositional score modeling for simulation-based inference

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T15:06:17.045156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.009935Z digest=sha256:2095ac5f18e236fc6e06bfc493118897ee937a1adf635bbf4e4f043c49eb36a2

Observation 01af9f40-4fe5-45a7-b88d-1fff08b30095 · outbound

This paper cites Conditional diffusions for amortized neural posterior estimation.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Conditional diffusions for amortized neural posterior estimation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T15:06:16.811847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.147558Z digest=sha256:4ae497dfbbcc44d0f680b38c3b9f3de78981eff6ff46a4a08815d8353c68c8e8

Observation 72f021a2-c796-4eaf-b239-8987971d18c5 · outbound

This paper cites All-in-one simulation-based inference.

Conformal C2ST: Turning weak classifiers into strong two-sample tests All-in-one simulation-based inference

Reference 5

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no resolver link, observed 2026-08-06T15:06:14.212093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:14.212093Z digest=sha256:6c769e6060139b69e8677c9fa1766bf576da096776ee82124b0374895caef7e3

Observation 81be9a84-4192-4c11-8f9f-380c6a2c758f · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Normalizing flows for probabilistic modeling and inference

Reference 6

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unresolved
no resolver link, observed 2026-08-06T15:06:14.327798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:14.327798Z digest=sha256:b2e7ff1a3c14d701a5a3b2bbb00788ebad5f7991137709d24d143a810a4a13d8

Observation 57b8477d-d2bf-42be-817f-b8e2c23cca4f · outbound

This paper cites Flow matching for scalable simulation-based inference.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Flow matching for scalable simulation-based inference

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T15:06:16.597155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.427204Z digest=sha256:e62cf93e09b366756929d891a4e85a18b6fee7f06913ac99402df704a006a660

Observation 9ec71fb9-cdb6-4a6a-843e-19b5cfcd6b0d · outbound

This paper cites Auto-encoding variational bayes, 2013.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Auto-encoding variational bayes, 2013

Reference 8

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unresolved
no resolver link, observed 2026-08-06T15:06:14.524781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:14.524781Z digest=sha256:54756b30fb98d0a64b24d6db5bd6c4c657b9077f58e3e43541cd9cdc245acc71

Observation 2a24b2ef-1d7b-44fe-a9fc-bb57f120f92d · outbound

This paper cites Validating Bayesian Inference Algorithms with Simulation-Based Calibration.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Reference 9

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unresolved
no resolver link, observed 2026-08-06T15:06:14.609771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:14.609771Z digest=sha256:a3ed4e3b2ae8249b7b89da26ab324c0dad380a92443f665e13f19c3dbd656713

Observation 791d4707-62d8-4bd7-80f9-d6c8ccde13da · outbound

This paper cites Sampling-based accuracy testing of posterior estimators for general inference.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Sampling-based accuracy testing of posterior estimators for general inference

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:06:16.476748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.690701Z digest=sha256:b66fff6209bd8eea076bf5ad278c25eab3eb36b04e8ea8bb1709236eeac0f493

Observation 80fb7fa0-a3a3-4392-a545-52c9cafcfff4 · outbound

This paper cites Revisiting Classifier Two-Sample Tests.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Revisiting Classifier Two-Sample Tests

Reference 11

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unresolved
no resolver link, observed 2026-08-06T15:06:14.806739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:14.806739Z digest=sha256:e42566924a72d1d37c664c0568c042e503935095f2cfe1059c233592438f6086

Observation dcd27fd2-9406-4200-825b-be47d129220c · outbound

This paper cites Algorithmic Learning in a Random World.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Algorithmic Learning in a Random World

Reference 12

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unresolved
no resolver link, observed 2026-08-06T15:06:14.883210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:14.883210Z digest=sha256:163350d46a75b6616630c63a4136d2cfed9f1c2312964d9c13b97d1c630438da

Observation 7537a959-1d16-46a8-849c-5ed349684db2 · outbound

This paper cites Distribution-free predictive inference for regression.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Distribution-free predictive inference for regression

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T15:06:16.254023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.002296Z digest=sha256:44567fa18f460b2052322e06bc363449ca8333133dd597e45769df832ad79615

Observation 96d926d5-d879-4eac-a441-0c7f04d12402 · outbound

This paper cites an unresolved cited work.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-06T15:06:16.091714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.113309Z digest=sha256:fa8041404c6571d35718529893e89f8eb8316a36d7e6175b839033dcd9dcca81

Observation f854e39a-2f4d-4b9e-ba1f-4a760e9d0601 · outbound

This paper cites An introduction to roc analysis.

Conformal C2ST: Turning weak classifiers into strong two-sample tests An introduction to roc analysis

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T15:06:15.919890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.208973Z digest=sha256:2b55e44dc5de917fa8aee84cef34e9a37fd28a93e0a1ec6c4b011489df612dde

Observation 83366d9d-1864-43f2-8f81-12d1ce322d6f · outbound

This paper cites NPTBench : A benchmark suite for neural posterior testing.

Conformal C2ST: Turning weak classifiers into strong two-sample tests NPTBench : A benchmark suite for neural posterior testing

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T15:06:15.751779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.320784Z digest=sha256:a60486b264a4dcc18c56dd8b1d9c73f2e51fb1cc9e0401f60ab6014526709af8

Observation 5ba56ac3-6263-486e-b70a-97ef7c3e38dc · outbound

This paper cites Density estimation using Real NVP.

Conformal C2ST: Turning weak classifiers into strong two-sample tests Density estimation using Real NVP

Reference 17

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unresolved
no resolver link, observed 2026-08-06T15:06:15.426148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:15.426148Z digest=sha256:4ee550eef170581558eee8fa725468b821109ec5af39258e8e84272b1b690013

Pith citing papers

No inbound Pith citation observations are available.