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Paper Citation Record · LEDGER

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 5 inbound Pith citation observations for arXiv:2411.16996.

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

pith.paper-citation-record.v1
2411.16996 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:41:52.953698Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:56:33.437273Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T13:21:20.287140Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact4
  • verified fuzzy3
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63034de9-d680-4617-8350-8430fdfd7281 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.842049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.842049Z digest=sha256:64aa4c887f62257ff58036b4862a83bc03463876ba4664fa0abc89350e704ca9

Observation 6c3e9f3c-0b15-434b-8a17-8b074e936e86 · outbound

This paper cites write newline.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.846313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.846313Z digest=sha256:45bdc66e4f3e437fdc154b79b7cb60c236a83ae111ea270c68c374eaaff8c5ca

Observation 44d02e4e-383e-4660-b0f2-82d7f1b4bcba · outbound

This paper cites ISO 26262: Road vehicles - Functional safety.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening ISO 26262: Road vehicles - Functional safety

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:41:53.285988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.850164Z digest=sha256:17b636401a787b779c5ee07c823acfa73bffd47af005bbd84387d7b530d0ed6c

Observation c148a93d-96ac-40e4-93ec-e912c5356058 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.275807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.853966Z digest=sha256:5f3137f14cf4b08e8eff0e71b94baf9bdda02e35b1145b3bdf71565d42c9dad0

Observation 0961a68f-b9b5-4745-950d-b9edbae3e91c · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.265904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.857594Z digest=sha256:5ec76db517dc351d342ab7d9807e984f35a4f05ac62a123beee39be3a725b50d

Observation 0585d9b7-c285-4562-b009-43e1dc6af53c · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.256594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.860969Z digest=sha256:5011b909c24a3b6485d71e42d90c6dd90248bb2090f507ee1c72a0219b96906f

Observation f20d3515-25b3-4778-8e55-d7780f3d2204 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.247046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.864386Z digest=sha256:f48fa67b59c81e347f8565947edae0e407999918df86b90fa20b937d5aed8910

Observation cb4aafc0-b804-47a2-8120-39f253631ac7 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.237700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.867807Z digest=sha256:c02e7f8c0c2d7de4afe4b438ea8c3844766dd765409e48290da3647030268b66

Observation 860f6cc8-7417-48ec-84f5-bb11fd43d5cc · outbound

This paper cites J.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening J.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:41:53.228237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.871266Z digest=sha256:c0050a7ac046d25dd84820026b8600fc7e02fc557e2353fd12297895726c7b0a

Observation 8ee90193-e12f-4c5d-b0d4-25705f2faa48 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.874608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.874608Z digest=sha256:a210b6f1d84501945d39f1d28136baaded4eec939c74335bed753bfcb1e055aa

Observation c193c26e-8fc8-4ed2-88d0-ee09f34fe618 · outbound

This paper cites Critical concrete scenario generation using scenario-based falsification.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Critical concrete scenario generation using scenario-based falsification

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T12:41:53.095172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.877860Z digest=sha256:6616300bdc08435f5ea7b90474a7cd7ac902005761cdde431db100df58c8bf91

Observation c1435937-0488-41e8-a327-6022c166987f · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.212488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.881617Z digest=sha256:c1e305b2dfd865d68a27ef9fb9a7e1e76da532e5fb16d74e2b6c5a682c690dd3

Observation 6af8265c-d64a-48e4-9c66-c87a5d246f26 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Adam: A Method for Stochastic Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.884615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.884615Z digest=sha256:5b4410bf9458cb1155d10fc0cd1540890926c9795cbb17005d2faea89775eca1

Observation 5fdef122-4784-4a0e-9627-253d1a78a14f · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.202820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.888166Z digest=sha256:17b70a9fd90d9898566cf25ed518a2af1d5d8eac0d742c55adb7434bc3a75238

Observation 0fbb5fe7-010a-4b9a-a9d6-bda7d16c7e42 · outbound

This paper cites Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:41:53.072579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.891436Z digest=sha256:fb779fedd450ddab42ddfa7d9837e956499d7d3fcdd3515fa8ea47d9a074b2bb

Observation bb31f716-6b78-40aa-8d2f-3aaae6ae3f21 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.193407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.894906Z digest=sha256:6bf439383524414b9eaded9bc9d219e911bd0bac694bda11468f8dc4d6dae61f

Observation 6af09035-3cba-486f-b8c3-ce21278a9fa8 · outbound

This paper cites D.; and Belta, C.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening D.; and Belta, C

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:41:53.184124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.897991Z digest=sha256:63f647b43a23a540c09f3981f52b530e28249fc2bb5237b78eafdb1ab6d4d48a

Observation 3a4217bd-7c9b-4b9b-9829-b847f14c0e86 · outbound

This paper cites A.; Veness, J.; Bellemare, M.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening A.; Veness, J.; Bellemare, M

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.901224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.901224Z digest=sha256:189bc8a3cd313f048ab6434176932ef2570585472f808a6b6225df65718f9cfa

Observation 5e33064c-83ec-4250-be33-a663919b2a5e · outbound

This paper cites Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:41:53.059470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.904208Z digest=sha256:e62316d2e0e464d7b1a51ef861e3589a27683004595a1b37bf7aa217f13b60cd

Observation c11a4e6b-af96-4195-a166-729b28565b0f · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.168521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.907681Z digest=sha256:8aef06d948cb87799e50bb8c5717dc5cd9415034f96c6893f8e589142f2047ee

Observation 3bfe8262-1fe9-48c6-ad51-d92bbd6127bb · outbound

This paper cites Risk Averse Robust Adversarial Reinforcement Learning.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Risk Averse Robust Adversarial Reinforcement Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:41:53.044718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.910885Z digest=sha256:c9ef459e0e53029e22a3d657b129d213f54b471271287e2ca1f4e2e3be7f01ca

Observation 049ea357-12d6-4f6e-8736-c0fd62d886be · outbound

This paper cites Robust Adversarial Reinforcement Learning.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Robust Adversarial Reinforcement Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.914446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.914446Z digest=sha256:fe0e853d9e1c99ad114f4f384125407bf6417283ab56c913f0a1a18c7a4d698a

Observation ea55ff0d-9c05-47c6-b583-74604993e6a1 · outbound

This paper cites J.; Fidler, S.; and Litany, O.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening J.; Fidler, S.; and Litany, O

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.917985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.917985Z digest=sha256:afbb049956fddd24e79b6e66dfea2f8857264eec91ea0d85116d5c48c102a186

Observation 314d2b95-219f-4890-a8d5-2ea74fd1a194 · outbound

This paper cites Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.921078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.921078Z digest=sha256:dbe2f6e124bdf9c0b9dcdebf763e082b21e057cfc0280d41c33a3ca758bac632

Observation 3254c2ec-9f6d-4a09-af5a-f6dab3976f29 · outbound

This paper cites Prioritized Experience Replay.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Prioritized Experience Replay

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.924555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.924555Z digest=sha256:4c8ce84f76e1b77328726d5b251607067d217aae8ebedd93f1369d818bcd9e0c

Observation ee7b0aa3-d65d-4775-a297-d51c2fe7603c · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.153471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.927872Z digest=sha256:11e753a4026c6c38f19a1d1f2b9fb3ea2af62fc8901c16c3a8ac7b67cbcf78a6

Observation 59c29fc7-6d13-4968-a1e5-3a5ef7670b40 · outbound

This paper cites Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:41:53.004758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.930944Z digest=sha256:628431caabef1745873f03d82a51459ff15595413bb4d374ad80681b3d785b48

Observation f720853c-c7b4-49e6-b405-3167dc21ed28 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.143862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.934442Z digest=sha256:a5d718a664dcfeeabfaac254d6604b07afbb8ec3fe2e4fed2bc508e8a4403f72

Observation 4fb7775a-b8a3-4938-9c0a-d0718eba8cbf · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.134021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.937591Z digest=sha256:c1472a356465b324b477c330770aa33e46c35ea0c6e629beec3afea0b9cdab1b

Observation 4a7cb131-4914-4b97-b4a5-41f1867fc7fb · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.124378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.940615Z digest=sha256:077452875f250c23f574d368faede26002722b2c30c1e57a9e49f5eaa52f0dd8

Observation 902fe6f9-bf6e-4e15-905b-a886545a0e8e · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.114773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.943837Z digest=sha256:698edf9c83a4af20c7a518eefd4e6988aa436295cdab10e4544310d22fcfae47

Observation 72596529-6124-4876-90b3-e41b0b70191b · outbound

This paper cites Deep Reinforcement Learning with Double Q-learning.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Deep Reinforcement Learning with Double Q-learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.947013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.947013Z digest=sha256:a67e73430315e9de0927a36185d2374307c954cbacdec69a7a67c17c4dc4fbe5

Observation 62cc810b-bb85-46a6-b43c-d52bd8a17421 · outbound

This paper cites Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T12:41:52.950410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:41:52.950410Z digest=sha256:f769b9bca1cb624899ca69fe2cf11522db0618e9326787dff6b9f599f97b0d3e

Observation 91d94a70-fca7-40b7-853d-7e9f5e7e2443 · outbound

This paper cites an unresolved cited work.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:41:53.105092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.953698Z digest=sha256:955f4adddf2f40943f570217b052a751692f73e0984efe5f4d9240f47f2cacb9

Pith citing papers

Observation b01b521c-83a0-4337-ae62-6b7272b1c512 · inbound

Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies cites this paper.

Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:16.300595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:16.300595Z digest=sha256:ea9f3c9749a3d5d45a3d40325b3c307d259c78e77b4e7b562930a4f41635a623

Observation 06aa81a0-5a13-43f5-8596-2cb6cda04462 · inbound

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen cites this paper.

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:31.936461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:31.936461Z digest=sha256:a91737b57e67999236c3601a8f4a2301d2aac5caa84ec9f742145352cc9d8082

Observation 29e136e5-7578-412d-ad74-f618a41f1c4c · inbound

Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies cites this paper.

Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:56:33.437273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:56:33.437273Z digest=sha256:12c13b5501622e7b9a70ee8766996a74db3222c2b8a31290e8fe2f3c73062491

Observation ab61658a-fd68-400b-af6c-212878e81edc · inbound

ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks cites this paper.

ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:21:20.304272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T01:49:15.644521Z digest=sha256:db2ff9694c5c1eae6fae69a200ed51ff8722255253c899c18aadde38722f5695

Observation 922b2ddf-6cfe-4a17-bcbf-2b86e1805668 · inbound

Sutured manifold hierarchies and the Thurston norm cites this paper.

Sutured manifold hierarchies and the Thurston norm CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T19:30:54.093449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:30:54.093449Z digest=sha256:d16193c3a4169f577984d55f5a4f8b3c42f6628a14db83b6622a458a33bca517