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Paper Citation Record · LEDGER

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.08638.

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

pith.paper-citation-record.v1
2509.08638 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:19:21.949343Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved33
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 850837d0-4cd1-4f04-bee6-616fec9ac497 · outbound

This paper cites Distributionally Robust Receive Combining.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Distributionally Robust Receive Combining

Reference 1

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Observation b40455ca-d398-47f3-83ab-028acf1a350c · outbound

This paper cites An enriched category theory of language: from syntax to semantics.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models An enriched category theory of language: from syntax to semantics

Reference 2

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Observation e7971fc6-7e60-42dd-9be7-f8d1702449cb · outbound

This paper cites Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly

Reference 3

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Observation a979a8d2-b827-4a20-aad1-9f351df80c3b · outbound

This paper cites The doubly librating Plutinos.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models The doubly librating Plutinos

Reference 4

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Observation 63e82690-b298-4be2-906b-f604107db4b1 · outbound

This paper cites Critical groups and partitions of finite groups.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Critical groups and partitions of finite groups

Reference 5

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Observation 75f719dc-11e3-4905-9d39-defa1f0253e8 · outbound

This paper cites an unresolved cited work.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

Reference 6

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Observation a985f8f3-a409-434c-883e-871880db2163 · outbound

This paper cites Test Automation for Interactive Scenarios via Promptable Traffic Simulation.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Test Automation for Interactive Scenarios via Promptable Traffic Simulation

Reference 7

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Observation 0a4771a5-6674-4436-abc2-afbf9ce2a8c9 · outbound

This paper cites A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems

Reference 8

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Observation 83c78ce3-c70d-417e-93a3-ed2242da8dc9 · outbound

This paper cites Bat et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Bat et al

Reference 9

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Observation 8ace3e03-c8e2-450d-9bd3-6512298c87e7 · outbound

This paper cites Oh et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Oh et al

Reference 10

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Observation 5178bb04-cfe3-4fc0-81a3-aebc16218fe3 · outbound

This paper cites Garnett et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Garnett et al

Reference 11

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Observation 5a3ea095-a7b7-4083-bcdf-f0ee9fe931b6 · outbound

This paper cites Lee et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Lee et al

Reference 12

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Observation a9ee04f4-091c-45c0-8300-1ffd1d1308d8 · outbound

This paper cites Zhang, C.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Zhang, C

Reference 13

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Observation 851fc81e-847d-45e7-8355-52124043473b · outbound

This paper cites TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction

Reference 14

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Observation d2f90028-a97a-42b4-ba81-b4316c0e204a · outbound

This paper cites Xu et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Xu et al

Reference 15

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Observation b30fa27d-da41-4b41-8a0b-8b548a85583e · outbound

This paper cites Lu et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Lu et al

Reference 16

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Observation 8919e5ea-3daf-49e6-b399-f5c4c582db33 · outbound

This paper cites Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model

Reference 17

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Observation ab441b1b-ca67-4cd4-b8b9-4d2cee7b362b · outbound

This paper cites Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach

Reference 18

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Observation 951c6ac8-b4c6-46b5-b310-fc92ae6402f1 · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models End-to-end Autonomous Driving: Challenges and Frontiers

Reference 19

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Observation f1e4aef2-2ded-4b11-8d24-37cf6e41e91b · outbound

This paper cites Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles

Reference 20

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Observation 1b3d813b-74ee-4f06-8277-91981c2b180c · outbound

This paper cites an unresolved cited work.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

Reference 21

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Observation a4a72f02-2a14-41ed-bb26-1a1855897a60 · outbound

This paper cites From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios

Reference 22

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Observation ef5b7671-4561-4f2d-bbff-096a70ac2156 · outbound

This paper cites Martin, C.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Martin, C

Reference 23

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Observation acdd8900-a9ae-4b8c-87b3-9c4fdceddbdb · outbound

This paper cites Ruan et al.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Ruan et al

Reference 24

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Observation 76c14139-69a8-4629-8907-afdc66dd6479 · outbound

This paper cites Patrikar, J.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Patrikar, J

Reference 27

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Observation 9f0b47ad-fac4-4ba2-a2d5-aa7727828aa4 · outbound

This paper cites Ghosh, J.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Ghosh, J

Reference 29

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Observation 83dbb9ca-54f0-404d-b906-8c702ee43360 · outbound

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

Reference 30

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Observation 9a8bcdf4-1853-4a7f-b1ef-6a572835333a · outbound

This paper cites all purples fail.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models all purples fail

Reference 31

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Observation 96939c8c-904f-4e22-ab70-21dc9e1b095d · outbound

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

Reference 32

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Observation 6d1e39e5-8b2d-4a6d-a0c8-0f53400811b9 · outbound

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

Reference 33

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Observation 3d495bbe-44f4-4466-b44a-06a9ae9e6a32 · outbound

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

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Observation fdaa29f3-49a1-4bdf-801e-45776be5b2ed · outbound

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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Unresolved cited work

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Pith citing papers

No inbound Pith citation observations are available.