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Paper Citation Record · LEDGER

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

As of 6 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 4 inbound Pith citation observations for arXiv:1907.05418.

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

pith.paper-citation-record.v1
1907.05418 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T22:53:01.066916Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:31.893968Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T05:26:06.869360Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact10
  • verified fuzzy6
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d751f1a-0508-4615-acba-0c449e7dae8d · outbound

This paper cites Synthesizing Robust Adversarial Examples.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Synthesizing Robust Adversarial Examples

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.786005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:bc6728078b9c01605f5289f205eb6087ab82f4a1efefd09d49122ad02724d658

Observation b0f58183-4a99-4fe5-a8bf-a8059328f8d6 · outbound

This paper cites Carlini and D.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Carlini and D

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:55:03.738884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:8a3fef19787082ebf6b1edbc901c82f71fce8c6573a74c3e55c3c9c75c051902

Observation f1891178-45b2-4ef5-bc17-8fee8763558a · outbound

This paper cites Towards Evaluating the Robustness of Neural Networks.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Towards Evaluating the Robustness of Neural Networks

Reference 3

Resolution
verified exact
doi, observed 2026-05-24T22:55:02.592012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:ebb44a9083b4a3f76b778af47647816b77aa00c7c67c9c5ee28f2f5048e174f7

Observation 9741d0d0-2fa8-4555-b41a-f0caa5968de5 · outbound

This paper cites Cignoni, M.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Cignoni, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:55:03.742466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:01af079d71e9958d7d4192e9bbb60a0f005989a4c9243d07176410caf2947111

Observation 5b3fe02d-e3a2-443a-bf60-ff03fdbdbd7c · outbound

This paper cites Collobert and J.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Collobert and J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:55:03.731580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:36c1b6326c5d8e69647906f251de3543393022fe7c64073da537188f6a53d053

Observation bf0cb2d8-0122-4250-b2ef-dfb4f4da0ef4 · outbound

This paper cites an unresolved cited work.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:55:03.746156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:d8549907638f2459c537666362c3f396ba8bcf9832e95fb161dca8b5d104b586

Observation c4c99425-ca85-4b24-9d2d-53242456eb70 · outbound

This paper cites Robust Physical-World Attacks on Deep Learning Models.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Robust Physical-World Attacks on Deep Learning Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.779854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:57c997df32a1c30537ef4a713fffc7a1bfed64dea002b73af4d66ed11046953d

Observation 4fc5a348-fb23-4fce-9fb6-4b8ad8cdb462 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Explaining and Harnessing Adversarial Examples

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.807745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:7ca2c816871afe050bfc9e4c69fb9337d38f632bdea9d96d224564f7feb1e833

Observation 98dc4e15-b151-496c-93d1-99a1ef3617a6 · outbound

This paper cites an unresolved cited work.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:55:03.735378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:b08a30629e2500f186a148c0a2e319273d86a722adf033861b69598d0982c713

Observation 572a3735-dd91-4b62-a6ac-6bbaa4fedf68 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Adam: A Method for Stochastic Optimization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.766968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:e36575555b1161860cabbc5579d1d83cf1000b9a8b39c52098b72674b012f22f

Observation 8cd64184-78ff-4c22-8a22-2ee706df44b3 · outbound

This paper cites Adversarial examples in the physical world.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Adversarial examples in the physical world

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.761308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:b5267976cf30b0a3b26c296b2075535b9329f53555de112222ea8abbd1a446a6

Observation ccf24d1d-b8d7-46f7-81fe-fec709c37f89 · outbound

This paper cites Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.802448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:b148e515a3dcda9bd29d1617d51d11a5b128d4a1d5145d4cb9c862ee5a331dd7

Observation 04a322f7-48d3-4e5c-8a21-333f7e43715a · outbound

This paper cites Moosavi-Dezfooli, A.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Moosavi-Dezfooli, A

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:55:03.720217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:3915c6639f11696af9164f7ee54f56df7e4d5b1c4c1f0a4ac4993112aa24f5a2

Observation 098d63d1-5175-4cdc-b9cc-e3ae907d55d1 · outbound

This paper cites Papernot, P.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Papernot, P

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:55:03.753028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:c79eddd74924ff23b773e5e6cb123dd9f471efe551d0acc44e9b9c2c7ee334f9

Observation 7d8e514c-9c8f-46de-be4b-7499f50bf909 · outbound

This paper cites an unresolved cited work.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:55:03.749555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:d0b86bdf47403a017c65965ce47447975959c761b59d3b8acc5ee84b65ada418

Observation ff76b5e8-1c5e-41e4-9542-3612460cf6e2 · outbound

This paper cites an unresolved cited work.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:55:03.724287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:6536960128284f40bb6fa39c5dc4e5af6309aae8df1ea35ebbfeab593682d357

Observation a0e70cfc-78e3-4d7a-b529-5289255238fd · outbound

This paper cites Silver, A.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Silver, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:55:03.728099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:a723c51a695a49de011537e49473fc437725727af95a2e2e94ecd13447c64102

Observation 4a25efe1-7520-4ecd-ac60-fe8fe146141e · outbound

This paper cites Data Poisoning Attack against Unsupervised Node Embedding Methods.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Data Poisoning Attack against Unsupervised Node Embedding Methods

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.791724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:49dcc5a5caaf3a95fa729b158e5f291e69f8c5e23365f65e23686148c2223231

Observation 08ce50b5-7eff-448f-b324-3bf1bf04fc8d · outbound

This paper cites Generating 3D Adversarial Point Clouds.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Generating 3D Adversarial Point Clouds

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.812426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:0d20495ff95de3958634110e115807d3dd08cd472bc3a9ccadaa0cb284eeb5f2

Observation f68af54b-e739-4be3-b23a-36dcafcbc185 · outbound

This paper cites an unresolved cited work.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:55:03.716471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:ab27af8ae143d986f5d20bfe1208f3f557b6ebcb2d7a6038ff74074c6d7b2b5c

Observation 03874e38-1e7c-4a11-b920-755f3d2b0c38 · outbound

This paper cites Generating Adversarial Examples with Adversarial Networks.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Generating Adversarial Examples with Adversarial Networks

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.773618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:4cd849e63fe615fefd863b063f750f05c6a8cd8bfd8b4334d0de083c6b94d4d1

Observation 913d5d9f-0fb4-480d-9862-51876918880b · outbound

This paper cites an unresolved cited work.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:55:03.756993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:6b4f1b845deedbc37a89df525682328f38aeb45d4dd52984442eed19a4de5b80

Observation 805ffad7-1113-4fb6-934e-30d582932581 · outbound

This paper cites Spatially Transformed Adversarial Examples.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Spatially Transformed Adversarial Examples

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T22:55:02.797071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T22:53:01.066916Z digest=sha256:3d123fdb454537d5ed58590d07bc282535f82a0291f7e562a6059ab9faa467c7

Pith citing papers

Observation a0641384-e0ae-4be5-b6fd-88e3b3c37276 · inbound

Revisiting Physically Realizable Adversarial Object Attack against LiDAR-based Detection: Clarifying Problem Formulation and Experimental Protocols cites this paper.

Revisiting Physically Realizable Adversarial Object Attack against LiDAR-based Detection: Clarifying Problem Formulation and Experimental Protocols Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:31.893968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:36:31.893968Z digest=sha256:3233607138097045f905c8ab6fedf06931cd8020419126d021bb6a11a7fef986

Observation 71ca6954-ccf4-438a-9097-9fc2f8b74a25 · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:23:04.033464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T22:20:31.623849Z digest=sha256:5911bb99063561631ce036ff4dcdc0062da61b69749c7e0c36cb00373870be86

Observation 27ad799c-08b8-46a0-977e-1e538c7fa33f · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-13T17:08:58.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:08:58.831798Z digest=sha256:bf1b1cf3dbac301a90def1867460c6bd77a53256d391bd0233e56cfe88ebcf8b

Observation 1a31a13d-d5a3-4e8f-9098-47e5f608dfa6 · inbound

Adversarial Trust Poisoning in Vehicular Collaborative Perception cites this paper.

Adversarial Trust Poisoning in Vehicular Collaborative Perception Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:26:06.873539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T05:25:06.182735Z digest=sha256:e662999008a3d1d80fdef028bee1bd6d36f2fe7f331fd573d9985c2e11dcf17a