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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:34dab07bfb09415683b8f854c6090af687427060cb8379a9bce8417226c6a748

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=sha256:900630bab3e57687c19ce6a66e3f89efe3c98b159271654a8edfbb8b27bbc3ab

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.009935Z digest=sha256:9ba0cbcf383d0df46f3b4eaf7fffcf2c216d462669f67568058efec5c09cb90c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.147558Z digest=sha256:6e026a146346c045cb6ddc7869fd405f3ec09ed7bc4b85ef3558817c4eda006f

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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unresolved
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:bc0974831290331cb39db2611972d5fa0cdae7b6f624e8b882e7b52ce78c5cdd

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:b3a55432155da1ade11a8ea7b919fa8b907fc45854023c16b81af2cbef409ebd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.427204Z digest=sha256:3c08311327704b8574f7a0ba9de427142fb1a91affe8a3ae6e38fe6bcb1d7ced

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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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:f549702513b0766730c91394f450c978d80644ae2745ad1d80c9e586e56882b1

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:ddd725610fcdbb13be07bf3d2e3abc2e722e2336bc728cd01d55069126a63f53

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:14.690701Z digest=sha256:613e55cd9a54271c4f860bd087e5317b9cbf4f8cb9eed81031915d2e76e1b5f3

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=sha256:209cdf2042d0595f71054675c9907768e0203d9ad3294543f19bcd81288eceb0

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:afbbadaab71a16d235dce6a5a2983ac7d05cc916b2f716728f02d5eb07b83f23

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.002296Z digest=sha256:99c2d6c6271036fb7ca22a2b72d4e230d0f2b6a4d109143cbea7cc5282b405b3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.113309Z digest=sha256:e2c7c3d85b3930a25605ac76adfd4eea30ef845514a523fe56a35d51f0088b96

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.208973Z digest=sha256:b0ad02f15f595eacfc45d17ef6f2eb8562712246de53937d77687f78c1f9ea37

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:06:15.320784Z digest=sha256:50cf548ac1c0bf13bde493f31bba76413cc54d9beecf08f57750a1de276a0d30

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=sha256:2e1a2e8477b2f7641d1571a59ecfb791a83c7487c4af109d6a7c8575471f1a2a

Pith citing papers

No inbound Pith citation observations are available.