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Paper Citation Record · LEDGER

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.02154.

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

pith.paper-citation-record.v1
2412.02154 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:48.810712Z

measured 27 of 27 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

27 of 27 outbound references displayed

  • verified exact3
  • verified fuzzy22
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 702a4d90-6b2b-4b5c-b4da-9790f0177641 · outbound

This paper cites Falsification of cyber-physical systems using deep reinforcement learning.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Falsification of cyber-physical systems using deep reinforcement learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.173970Z

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=2026-08-11T23:54:48.700620Z digest=sha256:8b12599dff0407b17c0306a1de5ec19768d6e19b71b9f9543eaba0eeeb3350e7

Observation 2210c81d-6fb5-47cf-a48c-6ff35a4115e8 · outbound

This paper cites Self-driving cars: A survey.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Self-driving cars: A survey

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.162436Z

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=2026-08-11T23:54:48.706228Z digest=sha256:1bf0735e7e1792759cf205fde681568d2c76910377b8276f7185b5954d819c34

Observation ffcf5bb9-af10-4e35-a780-6487789f3c28 · outbound

This paper cites Adaptive importance sampling: The past, the present, and the future.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Adaptive importance sampling: The past, the present, and the future

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.151191Z

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=2026-08-11T23:54:48.710820Z digest=sha256:6d2c4d0fc19011bb725c88c99ffbd3017c54effbcb418b9222b7bdef805f6a66

Observation 80d9d4b8-f3ea-4422-84e8-4e5aa458ef38 · outbound

This paper cites Population M onte C arlo.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Population M onte C arlo

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.139145Z

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=2026-08-11T23:54:48.715073Z digest=sha256:16a71f25718a3682b68c525d1df67c297a63d1d89ff92e31461706e078cf7e1b

Observation 92af12db-3a03-40a9-a5b9-40d447e053eb · outbound

This paper cites Chryssanthacopoulos, Mykel J.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Chryssanthacopoulos, Mykel J

Reference 5

Resolution
verified exact
doi, observed 2026-08-11T23:54:48.845854Z

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=2026-08-11T23:54:48.719629Z digest=sha256:22943117c47be052d8fe3dee2de2d244ad4d1e0ec7dd8b6eb76a7be5a4755e1a

Observation 7e76f135-e9e6-45d4-94a1-91b377e5e075 · outbound

This paper cites Clarke, Thomas A.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Clarke, Thomas A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.127557Z

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=2026-08-11T23:54:48.723905Z digest=sha256:2a6a9203bc0bebfabebef49e850b1a49bc4118794e145a8d5a8ffbeb5d03225b

Observation 005864ff-9a4c-4450-8ae6-3caa1ffc3af4 · outbound

This paper cites A survey of algorithms for black-box safety validation of cyber-physical systems.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals A survey of algorithms for black-box safety validation of cyber-physical systems

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.116061Z

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=2026-08-11T23:54:48.728221Z digest=sha256:15cc86055506cb97c96bd8b7363209d3435bd40fda842a585cbbffc3f71804a6

Observation 8fb9299d-fd31-480d-9f8e-e14ea627bb4d · outbound

This paper cites A Deep Reinforcement Learning Approach to Rare Event Estimation.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals A Deep Reinforcement Learning Approach to Rare Event Estimation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:54:48.882413Z

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=2026-08-11T23:54:48.732213Z digest=sha256:2406df11d81eb05f17fa32c9c70e67525708627d20628933b5fb3ad45a20f311

Observation 84003aad-6aed-4099-9cd1-de0b51b4a1d2 · outbound

This paper cites Testing cyber-physical systems through B ayesian optimization.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Testing cyber-physical systems through B ayesian optimization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.103517Z

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=2026-08-11T23:54:48.736606Z digest=sha256:c578b3bf6e9ff3a9ed3749a0f169287439adc85ff34ebafc5131807ced967bbf

Observation 87959fb0-ee96-4837-b1b4-52003de14d5b · outbound

This paper cites an unresolved cited work.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:54:49.091964Z

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=2026-08-11T23:54:48.741239Z digest=sha256:944d6fbc87f21ff3f5f815212c2e26926b6c0c1bb5cf54380d4165bd8c668a87

Observation fc4a2602-61db-47f4-b872-b2a7fad2c367 · outbound

This paper cites Verification challenges in F -16 ground collision avoidance and other automated maneuvers.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Verification challenges in F -16 ground collision avoidance and other automated maneuvers

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.081032Z

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=2026-08-11T23:54:48.744895Z digest=sha256:e24d4427576f528099bc23a99810301f3f1aa6afe406ffcfa66da287aa08c112

Observation f1e4d75e-74ce-4552-9cbd-bec891058a77 · outbound

This paper cites Markov chain score ascent: A unifying framework of variational inference with markovian gradients.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Markov chain score ascent: A unifying framework of variational inference with markovian gradients

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.068807Z

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=2026-08-11T23:54:48.749542Z digest=sha256:a15e9deb79f5fc18a0d7ba9d5932f1fb13eed7e3a99410fa9d53666901fd1416

Observation 189f91d3-cee6-475e-a83c-9ab30cccacf7 · outbound

This paper cites Kochenderfer, Jessica E.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Kochenderfer, Jessica E

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.056919Z

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=2026-08-11T23:54:48.753845Z digest=sha256:0d02469badace15f9fd79907d556f396c33e2ad0985dc5e23c6504346d6102eb

Observation 773ea9db-d727-4b6d-9ad7-95bccb51e53b · outbound

This paper cites Adaptive stress testing for autonomous vehicles.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Adaptive stress testing for autonomous vehicles

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.043622Z

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=2026-08-11T23:54:48.757773Z digest=sha256:dc42807a1984aa3294d6e86c915028647d6e17b2bddd9c95694d5e36779f7f6a

Observation 1063f0c1-d323-4c0b-9522-d9e40fff4841 · outbound

This paper cites Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, and Mykel J.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, and Mykel J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.030861Z

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=2026-08-11T23:54:48.762121Z digest=sha256:7df9c04b597d667c8185951294e3aa0792d82202ccbb1e480a137da94ed18f54

Observation f4f8edee-9869-4e06-ab5c-ea628c44b901 · outbound

This paper cites Markovian score climbing: Variational inference with kl(p q).

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Markovian score climbing: Variational inference with kl(p q)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.017742Z

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=2026-08-11T23:54:48.765938Z digest=sha256:0e78781c533ea5fe319706e0e7d1fb62e00942f4f9c7b34a87f67ff6139dd620

Observation 3cbbb3fa-73bb-40fb-b390-bb44b156ca5e · outbound

This paper cites Efficient Black-box Assessment of Autonomous Vehicle Safety.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Efficient Black-box Assessment of Autonomous Vehicle Safety

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:54:48.864942Z

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=2026-08-11T23:54:48.769575Z digest=sha256:5b284ceb67a9b5bf40cb0fb224a2ebab3366151aefff3c5e7a1a99f68a552a73

Observation 4a449ea2-d65c-4a27-9515-138b9604731f · outbound

This paper cites Safe and effective importance sampling.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Safe and effective importance sampling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.003587Z

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=2026-08-11T23:54:48.774206Z digest=sha256:a499aa725bbb1c392f099ee64b4f7dc427cf1ac635c4c4005a9eaef2336daa23

Observation 0c0c1745-20ce-49aa-bd8d-1c01801db578 · outbound

This paper cites Owen, Adam Panken, Robert Moss, Luis Alvarez, and Charles Leeper.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Owen, Adam Panken, Robert Moss, Luis Alvarez, and Charles Leeper

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.989872Z

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=2026-08-11T23:54:48.778184Z digest=sha256:d7f1e6242fd2f9dc9d86da66904c7db13673d1e722fd076d18c32d785ece05bd

Observation 0197c20d-0a05-49a3-ae77-751e138c7646 · outbound

This paper cites The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, M onte- C arlo Simulation, and Machine Learning.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, M onte- C arlo Simulation, and Machine Learning

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.976662Z

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=2026-08-11T23:54:48.782053Z digest=sha256:53b49b91ad86f64baf4a73511016bedf6a80e684440787d151c4d137c7968c41

Observation 132aec09-4802-4a28-9f5a-fc71bbca56fe · outbound

This paper cites Automated Theorem Proving in Software Engineering.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Automated Theorem Proving in Software Engineering

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.964066Z

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=2026-08-11T23:54:48.786210Z digest=sha256:f107e27491703aaa0712c5462325c6f74d4e681b04dfa76ceee5d0988068e621

Observation aa54ee59-6737-4f26-93bf-e9edcf120d37 · outbound

This paper cites Neural bridge sampling for evaluating safety-critical autonomous systems.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Neural bridge sampling for evaluating safety-critical autonomous systems

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.952074Z

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=2026-08-11T23:54:48.790008Z digest=sha256:19c2796eba3e49ffe489115836bc131508c3e0bd0e5095b242956cec6b6d67e1

Observation 5ffee85e-138b-4cc2-9d10-49296823f5d6 · outbound

This paper cites AVOIDDS : Aircraft vision-based intruder detection dataset and simulator.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals AVOIDDS : Aircraft vision-based intruder detection dataset and simulator

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.939646Z

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=2026-08-11T23:54:48.794818Z digest=sha256:cbe15aa6aa4b4ca5c7aeefab7f1f18115e5cf5d8020233a42daa795de6f3d2b2

Observation 0f424dc0-dde5-42d7-92a1-e7e994283a5c · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Congested traffic states in empirical observations and microscopic simulations

Reference 24

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unresolved
no resolver link, observed 2026-08-11T23:54:48.798734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:54:48.798734Z digest=sha256:b1a21c7bbf3b6af2d37b49df38e41dbd126ec334385642d6af5c6a486c36e227

Observation 633e43bf-5eb3-41a3-848b-f4b6c6132ae3 · outbound

This paper cites Rapidly-exploring random trees for testing automated vehicles.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Rapidly-exploring random trees for testing automated vehicles

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.919539Z

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=2026-08-11T23:54:48.802653Z digest=sha256:964def4aa8cfc946336bfc392b9f27659ff6f976b5bdbaa90bfc78c21e144821

Observation a6ee7c5e-038c-4fbd-84d7-34748349b1d8 · outbound

This paper cites Rigorous agent evaluation: An adversarial approach to uncover catastrophic failures.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Rigorous agent evaluation: An adversarial approach to uncover catastrophic failures

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.907274Z

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=2026-08-11T23:54:48.806804Z digest=sha256:9c94485a7091dcd2bb9e84e957171e2964985a9354abc445d7c22983cf76f326

Observation a7e30f37-56d6-44ff-8e2d-426525437e8a · outbound

This paper cites A survey on the application trends of home service robotics.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals A survey on the application trends of home service robotics

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.895162Z

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=2026-08-11T23:54:48.810712Z digest=sha256:c7a8d47b8d987c6d5c1ffbf5666090f5db5908cc09241f4160c1c5426394e1b4

Pith citing papers

No inbound Pith citation observations are available.