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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 4 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 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:53:16.300595Z

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:f0c8c093a77a5299a964a31b9feef23bf75149db03723168f74694020a465b3f

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:d7162a5cee5cd7c3d1c5a73425edb689667d87b0ed680e3aec4252d95dcc9257

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.850164Z digest=sha256:7cfb3b00a996e8db3fd21dfe871b03862bc85d1f47220995ba2670fdd9bfaef9

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.853966Z digest=sha256:66040a1db8429e5e1a21e46d8ac2991e63fcae4b355efd2c5c8de2e4087888a0

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.857594Z digest=sha256:48cf7590cd8ebfcab68441de86efbd91e0dc026c00d5edb1c321415c0ef1a162

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.860969Z digest=sha256:48e8bea55de3a30a9833fb7281c46658813bec37222ba18e9370386ca2ae7efc

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.864386Z digest=sha256:c6ec9b5d6d54016a4f425210c7bba474ccc123db4a39053dccdfab3b2849a50b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.867807Z digest=sha256:6b2945065bfcd1bccb03610f28969d0803e43fc7c4f5937cb1f8821d833b0f72

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.871266Z digest=sha256:b77b0a33d79f93ce654fc5c4dd2a32b1e922ed1c1debbfdef031cbc332b19f75

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:b2f1fd4d78ad873880e6e1765c8bad307d6821fe2810e4fef636804543fdb721

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.877860Z digest=sha256:ba3fd6810213d68319a289bfa00aa87cc1185e55f0a4b335e0d7051ae6333449

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.881617Z digest=sha256:06192b465abe82c57cb070f00a2299bc9f301afeb47114f2cebf0ef504ddf1ea

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:b6fa38effc5a4a47c0dc4591ed0d3df429b52a09446f504bb492a661ec88e098

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.888166Z digest=sha256:ced0120c276b6b71cebec599378f678ae0f1f2695ab86ada73c6b35c44909f24

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.891436Z digest=sha256:4c55028d3306d1499cbafe8afd45166c11b26b8ce0f3cb914f0c414bdba94476

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.894906Z digest=sha256:1fabec598fc99f3945813282c5be4eb6b5e6eb08dd33c18cb08613215b2e1b97

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.897991Z digest=sha256:7ae22e15592bc030e8c9c4affc7f281206fcd7759702aa98785d5bf435c5f8df

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=sha256:56a9cb7b6ac26d31e4794a0805fae949367af7dbbd473e3390b3710d0aa025f2

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.904208Z digest=sha256:f7804a29053103f4de45b92a1e3ec40a978b0827579ec618c30e060c557f8d9b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.907681Z digest=sha256:23ae7249a2fad6dcef5eb904748f34928f167dde17dd118ebe06a68e741c2c8c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.910885Z digest=sha256:f872b8044b378a1c24935cc371dcfa2243680ebb05f3a7ebd76b41711d8bb15e

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=sha256:7fb439500ae1e532408214a217191682279ed479ef336565c294935b6cb434c2

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=sha256:516cfaaf1f44a9f51648038118a0a401dd8453389c88c01dba74494e9029867b

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=sha256:5e3e33ec8856c0fade539a489860062b046111e2977b7b3fac56c1fdfb14f0a1

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:b7240d007da93e7bfd526d1672af324be70afb2cf3bb435b60ef02c564bcc548

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.927872Z digest=sha256:fe1ae72434c9cb108c460e251be0a7a7c328c26ca789bd2a902e0a93d4207dae

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.930944Z digest=sha256:facd5654361c83985ce598054c46d891e8e0815e273a598518f32adf8ba95727

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.934442Z digest=sha256:b9edae2ef955e35b991bb87c484758f03f401a5b90b2889befe9ef2a8fbba9c3

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.937591Z digest=sha256:fb1de99ce5b2f4d7c9c08daa4869bd1795cf0841fbff552890542a6a798eef7d

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.940615Z digest=sha256:ae39b371bc6a55eff6e7ea29e87510fd69fa4dea60c0ce36d8e9e7b811292ce5

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.943837Z digest=sha256:3eb44e67b6c1910ed4d2785af5662ddb1a51251fcaff4e37f72815f3d2b8b07c

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:a1ff23953d0ed60bc7b48a80d47accd9caf8ad1705dfe889ada81828205603dd

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=sha256:840e9e39157b7ee74d417eaf2fab572529f0add1113b4d36a3541ef25a510d12

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:41:52.953698Z digest=sha256:9f18173b6dcbabd4fa43bdc664a1283816a66d556b7034f7e84a988d1c7032f0

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:f31c64e0546ca7c35531998fdd2aba109afa83f2d5baa51e91cc202ae963566c

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=sha256:5c1790059ff2d0af5ea2b2981489c523b9ae07724b99e3b6955ed2d3dfa0f49c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T01:49:15.644521Z digest=sha256:b17344da4a3952a3bf0f21bfd433f4d744e4baa7cd186b2a8a09202508536d95

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:f628f8e864a5685029f1a390c728f56a788d93e620244467e3a24baef87f6555