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Paper Citation Record · LEDGER

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.21673.

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

pith.paper-citation-record.v1
2607.21673 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:31:10.033956Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

19 of 19 outbound references displayed

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External citation measurements

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Outbound references

Observation 939f7efd-1d85-43a6-96ef-ed3e7d977e7f · outbound

This paper cites Noisy Test-Time Adaptation in Vision-Language Models.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Noisy Test-Time Adaptation in Vision-Language Models

Reference 3

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source=pdf_text observed=2026-08-01T08:31:09.007152Z digest=sha256:edb6da52b22994dc789e8f4a2c4f9ffc0d2fe9c752919631d5935728cea62b4b

Observation 12fab67b-2f47-472f-9727-f9390d56eb8f · outbound

This paper cites Strong Model Collapse.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Strong Model Collapse

Reference 4

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source=pdf_text observed=2026-08-01T08:31:09.057320Z digest=sha256:5984525a0381e9fda0575b402df9ebec740bc89f033ccb6c8c1340d961ed8fbf

Observation 6050b960-d34e-4ca3-a071-8af204feb188 · outbound

This paper cites How Does Unlabeled Data Provably Help Out-of-Distribution Detection?.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

Reference 5

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source=pdf_text observed=2026-08-01T08:31:09.119652Z digest=sha256:1ec3b5cec45acbf7fd7a758fd7f046211165825e413bdfcbf8afcb31ea479380

Observation 24e3407f-0141-4902-963d-b37b96bb0501 · outbound

This paper cites Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 7

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source=pdf_text observed=2026-08-01T08:31:09.223043Z digest=sha256:e91af8fab19eb33c230eb79e5847b2ca24e7d99d0597f373307ff3d0f8677609

Observation 0992e844-53fb-4537-921f-aeacc887b5e7 · outbound

This paper cites Training OOD Detectors in their Natural Habitats.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Training OOD Detectors in their Natural Habitats

Reference 8

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source=pdf_text observed=2026-08-01T08:31:09.274393Z digest=sha256:e850797dbb14cfabf097ab8010aedbdc18bcee496e0f273198a1abd187b64a38

Observation 509e0440-f4fa-4c11-ad8a-b46075bfd992 · outbound

This paper cites Selection from Hierarchical Data with Conformal e-values.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Selection from Hierarchical Data with Conformal e-values

Reference 9

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source=pdf_text observed=2026-08-01T08:31:09.330792Z digest=sha256:4879ee009f57c8227695c17d361bfac3ca1978349ded67e64ae4d4022afe7c6d

Observation bf7e64e2-8fdd-4ef7-b2fa-33a27f0abacf · outbound

This paper cites On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning

Reference 12

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source=pdf_text observed=2026-08-01T08:31:09.491640Z digest=sha256:7d214e87069cb9d58bcd46e15fa9022aff78eda65ae3d1e4eb4a6f9d5e4d9ed2

Observation 92991830-203c-47d4-a292-4cd9f9fe91b1 · outbound

This paper cites Out-of-Distribution Detection with Deep Nearest Neighbors.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Out-of-Distribution Detection with Deep Nearest Neighbors

Reference 13

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source=pdf_text observed=2026-08-01T08:31:09.569054Z digest=sha256:e0e2ec690ddf8bc56a5b97e26f84b57a1ef7fc490cf04494ba6437f0c1a167f8

Observation f032ea78-f921-41ec-82e9-276596237702 · outbound

This paper cites Anytime-valid FDR control with the stopped e-BH procedure.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Anytime-valid FDR control with the stopped e-BH procedure

Reference 15

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source=pdf_text observed=2026-08-01T08:31:09.742402Z digest=sha256:4fa59d83062a44350384008549bd444ee96b75da1baa60bb1fb80a564333a0a0

Observation ecb406fa-f055-4f3a-96d5-1ae37efe5fce · outbound

This paper cites OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary

Reference 16

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source=pdf_text observed=2026-08-01T08:31:09.803825Z digest=sha256:89ece5e173dce6a39112ea9d0f829e97cfdf7ba03ddf9f9e416ed594e2709d49

Observation 641b1ad8-3bcc-46d6-b2e2-5184e804abb7 · outbound

This paper cites Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples

Reference 17

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source=pdf_text observed=2026-08-01T08:31:09.887378Z digest=sha256:a3e32f88943dd7d10e672c04ec9fd1fae27510742cfd72778a5c099d6dcc21bc

Observation 745e6d43-ce40-4c51-884f-7f527a3fc303 · outbound

This paper cites OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

Reference 18

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source=pdf_text observed=2026-08-01T08:31:09.947241Z digest=sha256:069b26e78dac612bf9202f03172c1efc456e082f0ef165335bf361b20a578eb3

Observation d4ba5828-980c-4ae9-9183-38f5aff06b1c · outbound

This paper cites Model-free Test Time Adaptation for Out-Of-Distribution Detection.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Model-free Test Time Adaptation for Out-Of-Distribution Detection

Reference 19

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source=pdf_text observed=2026-08-01T08:31:10.033956Z digest=sha256:5528c4448851b861cebdb7ae19f9819a774710e5c5e0c344f70141d239db665a

Observation a3064a82-b1f9-4ae3-89e6-62e894cba70a · outbound

This paper cites Generalized Polya urns via stochastic approximation.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Generalized Polya urns via stochastic approximation

Reference 2010

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source=pdf_text observed=2026-08-01T08:31:09.452284Z digest=sha256:1b1e8615250b3a5b72ce4fba35332e057edf1d0ffd8fb26af27cc254b012ea7f

Observation c0eef080-57ff-489c-ab70-a6561854b5da · outbound

This paper cites Is Out-of-Distribution Detection Learnable?.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Is Out-of-Distribution Detection Learnable?

Reference 2022

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source=pdf_text observed=2026-08-01T08:31:09.170007Z digest=sha256:6b5a8bade92df1c917758308180af467b198281c24653b7f5545609bb5a5fe52

Observation e5b2c5ff-d42a-46f5-92de-1f69c8c41e3d · outbound

This paper cites RDumb: A simple approach that questions our progress in continual test-time adaptation.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration RDumb: A simple approach that questions our progress in continual test-time adaptation

Reference 2023

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source=pdf_text observed=2026-08-01T08:31:09.385993Z digest=sha256:66cafef04052d3f36c339be7bf2cba73c13a96c02b3a1e26c20c06856e468ef6

Observation a920a8c7-0e48-4ad1-9099-3cf11b2df69f · outbound

This paper cites On the Stability of Iterative Retraining of Generative Models on their own Data.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration On the Stability of Iterative Retraining of Generative Models on their own Data

Reference 2024

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Observation 1fb55746-bf16-46f2-a96c-f10c98f4a2b7 · outbound

This paper cites Robust Conformal Outlier Detection under Contaminated Reference Data.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Robust Conformal Outlier Detection under Contaminated Reference Data

Reference 2025

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source=pdf_text observed=2026-08-01T08:31:08.902971Z digest=sha256:6b019dba50dd8d2f9ade9769b0ce01a710703c1edd5fae8a1bb779ed9e090ba4

Observation 2d565b56-b248-4c95-8b3e-c2bc1cf512f6 · outbound

This paper cites When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination

Reference 2026

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source=pdf_text observed=2026-08-01T08:31:09.656590Z digest=sha256:3a0bda5db6c43b46d97e6b9805a3d9540ef4d388b91d575f81bb5ce44323b98d

Pith citing papers

No inbound Pith citation observations are available.