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Paper Citation Record · LEDGER

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models

As of 12 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.16213.

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

pith.paper-citation-record.v1
2412.16213 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:13:18.590426Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d157691-cb7b-4a34-b66c-657448e0234c · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-11T13:13:19.042257Z

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.

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Observation cd3509cf-ff48-44a9-addb-49e4f2856bb7 · outbound

This paper cites Synthesizing Robust Adversarial Examples.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Synthesizing Robust Adversarial Examples

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.451104Z digest=sha256:40fcc3ac79d603e5aefd8e14335a68dbab77beabb410117e240aab1c8012486a

Observation f3d7c113-4aa4-440b-a08b-a30447b9bcc3 · outbound

This paper cites Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks

Reference 3

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verified exact
local_arxiv, observed 2026-08-11T13:13:18.786620Z

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=2026-08-11T13:13:18.455167Z digest=sha256:32a4b0984a52b26ffcc1e3b844db59a97bd9c4f58463dd24584bdc008975a12c

Observation 241e4e68-5e96-4a23-b20f-457e19b444ca · outbound

This paper cites Boosting Adversarial Attacks with Momentum.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Boosting Adversarial Attacks with Momentum

Reference 4

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no resolver link, observed 2026-08-11T13:13:18.459951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.459951Z digest=sha256:37f7cd0d19b68815d267360a84f5c7ae59f6fc786530672ce17b512b1a0df058

Observation 3de9ea00-e4ce-4770-ae3d-69b1def32de4 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.464684Z digest=sha256:845b53983283f5e992cb407efa8b6cd535a94e481635efce462053e18e2a88c6

Observation e9662292-8edd-46a0-a179-75ad07ab14a9 · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-11T13:13:19.027863Z

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=2026-08-11T13:13:18.469555Z digest=sha256:c67b295a2459f19ba6f96beea11f1e8e33cc064c891065984043f476b1ce411f

Observation ca6f294b-5500-4dde-9ab7-b2dacd7096e9 · outbound

This paper cites Deep Spatial Autoencoders for Visuomotor Learning.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Deep Spatial Autoencoders for Visuomotor Learning

Reference 7

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no resolver link, observed 2026-08-11T13:13:18.474192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.474192Z digest=sha256:1e73ec633900736ff913cf7c5b7f5a1d4e2881a1eaccf247916d423f61aa5fef

Observation bcde7769-85b3-4cdb-819f-e24aff66f0fa · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Explaining and Harnessing Adversarial Examples

Reference 8

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no resolver link, observed 2026-08-11T13:13:18.479277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.479277Z digest=sha256:6ab3100954e66e086eb7e21c521c756d9fdea3045e3520135a3a5f386c91d14b

Observation 66c26f92-5666-49b4-bca4-509470ea4404 · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-11T13:13:19.012368Z

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=2026-08-11T13:13:18.487952Z digest=sha256:66d2aac648ff4dc924680c5ea47d07456333d77aa8ff06e815aa0d9e8918d82c

Observation 11d23801-668f-4d7b-862d-b3ea407321d4 · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 10

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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=2026-08-11T13:13:18.493080Z digest=sha256:cf9e1c45b6369b464cbaf92454e2089e9f7f8f65300b2729e2e84939f2b526a7

Observation 4175eedb-ba3b-47a8-90b6-f7ba8854b81e · outbound

This paper cites Towards Transferable Targeted 3D Adversarial Attack in the Physical World.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Towards Transferable Targeted 3D Adversarial Attack in the Physical World

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.496854Z digest=sha256:fcbd6507c2b4d261a100fed325ee68b1723574e951d438ceaffb2f5404cd9227

Observation 428515a0-2775-4ecd-8283-ba33f41e2261 · outbound

This paper cites D.; Wang, Z.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models D.; Wang, Z

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T13:13:18.981742Z

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=2026-08-11T13:13:18.501699Z digest=sha256:566bb148b99408950dd66e5c385c000c584e46e56f06554d09292a07e888910d

Observation 802f7954-ed27-4922-8ef7-246900b7c4fd · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-11T13:13:18.506544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.506544Z digest=sha256:997a75ea801962dd52215631641de83cd72d4cbf254f05869d5ed122ff8ce2ba

Observation 375d866b-7e54-4b62-a38a-4ed4fa586753 · outbound

This paper cites Adversarial examples in the physical world.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Adversarial examples in the physical world

Reference 14

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no resolver link, observed 2026-08-11T13:13:18.510731Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.510731Z digest=sha256:fd0e170a6ac33226df1959b8cbcdb413ee2da31aa02ed2d20aa252bb09a5db79

Observation d2e969cc-bb68-41ae-b99f-79fffde10a47 · outbound

This paper cites Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF

Reference 15

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no resolver link, observed 2026-08-11T13:13:18.515487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.515487Z digest=sha256:b2dd667baac20cf3e3badad9dce7e21241e08692a070d57d5483885dc02e3f09

Observation 708d5c0a-684b-44dd-8734-b4cdbe1a3d2a · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-11T13:13:18.956589Z

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=2026-08-11T13:13:18.519545Z digest=sha256:5ab2697fa7bbe3d70f683856b84424a4c61133d4ad161501ac04d58f65e47690

Observation f259b160-b635-41bd-aca7-68bd6a56cb1a · outbound

This paper cites Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 17

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no resolver link, observed 2026-08-11T13:13:18.523857Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.523857Z digest=sha256:dd11c00e51c26d7fa73c206a493d63063025596f931ab0cc83fd44788510a44f

Observation 69afe7f7-2050-454b-8a49-89b22e23353c · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 18

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source=arxiv_source observed=2026-08-11T13:13:18.528756Z digest=sha256:b260fd30fcecf0d3cf729b8c3edeeaa49809d290b4038368450efda1d7b734f2

Observation df43019d-0f6a-4675-b6c5-2d83ebd2c023 · outbound

This paper cites P.; Tancik, M.; Barron, J.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models P.; Tancik, M.; Barron, J

Reference 19

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no resolver link, observed 2026-08-11T13:13:18.533843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.533843Z digest=sha256:401011dae95d277846bcae941acd6bdc4e200e564dc851c806d7598eed96e8a2

Observation b57cfa9b-9e9c-432b-97e2-67ef007358dd · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-11T13:13:18.538615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.538615Z digest=sha256:20be09c2d01e185aa57fcd59fe80a6dc92bd469b8b029fd1ee4ccaff9ed4eddc

Observation 2ba2a0d9-3f76-420e-8851-62c72a0a089d · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 21

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no resolver link, observed 2026-08-11T13:13:18.543353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.543353Z digest=sha256:9c2244918e2068441a1670a0e6ae82a6f9f6a6342ed991b3328add74595276ad

Observation 492d4c23-f90c-4871-8705-53818a8791e4 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models SAM 2: Segment Anything in Images and Videos

Reference 22

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no resolver link, observed 2026-08-11T13:13:18.547912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.547912Z digest=sha256:f7999f3524d4beef2bf91872f23b4f095940f6e3ba850bc753e859fc8da8a9ce

Observation cb5e6082-7cd3-4247-84a1-0ad1ae05a8ee · outbound

This paper cites J.; and Jamali, M.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models J.; and Jamali, M

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T13:13:18.914741Z

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=2026-08-11T13:13:18.556082Z digest=sha256:afd3cb474b119b2f0a7c56081b682d18608269c8da00f118dd3e1d7d27264f54

Observation b5edd65b-2a51-4310-9d82-4bb83978ae76 · outbound

This paper cites R.; Mousavi, S.; Ghorbanpour, S.; Gundecha, V.; Gutierrez, R.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models R.; Mousavi, S.; Ghorbanpour, S.; Gundecha, V.; Gutierrez, R

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-11T13:13:18.900287Z

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=2026-08-11T13:13:18.560507Z digest=sha256:ec30c4905a4142360b8a41e44f5044ca7e16add56c61ee41982b4b779e3b087d

Observation 784204e0-ce72-4b11-ab1b-1eb1661139ef · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-11T13:13:18.880979Z

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=2026-08-11T13:13:18.564624Z digest=sha256:4d31519be6355fa021ace5c92b0294815e3555f388041f071a09925822ddc9aa

Observation 44e45304-e94c-429a-ae6e-15de1c42ea59 · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-11T13:13:18.568385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.568385Z digest=sha256:10f572810a735613a1b0e4354961512324d554fcc5ce12aa5edf9afe8149ba0e

Observation 4e92a32b-5607-4824-96ee-fbe324e54809 · outbound

This paper cites Adversarial T-shirt! Evading Person Detectors in A Physical World.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Adversarial T-shirt! Evading Person Detectors in A Physical World

Reference 27

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no resolver link, observed 2026-08-11T13:13:18.572004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.572004Z digest=sha256:9ecd5c08e76bf94a4bf9035556471d8badb0427792cfb8eb69db5a1c8c44dd99

Observation ee85b270-a9e6-4940-8db5-99c7416a1b3b · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-11T13:13:18.859204Z

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.

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Observation 3f505dcc-6a5a-4be6-bd2c-f1b438ab005c · outbound

This paper cites an unresolved cited work.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-11T13:13:18.844225Z

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.

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Observation 395aad5c-5bed-437e-ae06-f924d8eb9e1d · outbound

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

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models , " * write output.state after.block = add.period write newline

Reference 30

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no resolver link, observed 2026-08-11T13:13:18.585513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.585513Z digest=sha256:ee8c632f9f4caf3d8fa153e28e9d59ee5d85fa28131a95b583f642a1870bb04a

Observation b29280b9-a9d8-4789-be04-38d22937c5a1 · outbound

This paper cites write newline.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models write newline

Reference 31

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no resolver link, observed 2026-08-11T13:13:18.590426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:13:18.590426Z digest=sha256:f5b2b8d6ef5d033b3cd7fa1d5c7e5da1e251954117c79e4eb5912f19c0af0728

Pith citing papers

No inbound Pith citation observations are available.