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Paper Citation Record · LEDGER

TrojFlow: Flow Models are Natural Targets for Trojan Attacks

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.16512.

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

pith.paper-citation-record.v1
2412.16512 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:36:19.680687Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

28 of 28 outbound references displayed

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  • verified fuzzy13
  • unresolved13
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 156dadde-027e-40dd-a9b2-1e361fd76b7d · outbound

This paper cites Denoising Diffusion Probabilistic Models.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Denoising Diffusion Probabilistic Models

Reference 1

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source=pdf_text observed=2026-08-11T10:36:19.370837Z digest=sha256:5069e79e7b7e4826aa8a32a435de8bdc52f5c89b99e727f33964346a0af5d0b6

Observation a67f15e1-fa91-46b7-8411-5d5204110485 · outbound

This paper cites Denoising Diffusion Implicit Models.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Denoising Diffusion Implicit Models

Reference 2

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source=pdf_text observed=2026-08-11T10:36:19.384381Z digest=sha256:69241c1900f1768fc57054f078a7817688f96c860af031a2f3ac76620d2deeb5

Observation 9bc56d40-bd99-4ad5-b477-d4682bc9fb68 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Score-Based Generative Modeling through Stochastic Differential Equations

Reference 3

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source=pdf_text observed=2026-08-11T10:36:19.391765Z digest=sha256:e1e4550b02c03a402397fc4fe0f8f63a801881d88a90e138573da086391c6630

Observation 8c7d6fbc-5c99-4285-8b8a-aebb966e6e73 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks High-resolution image synthesis with latent diffusion models,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.412867Z digest=sha256:1d2e92684e82bf79d7cda530045be05e78e47ec18413f77babdc05d97e76c2ed

Observation 938db6c7-6aae-4c7a-96dc-c87b67c5ad17 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 5

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source=pdf_text observed=2026-08-11T10:36:19.437535Z digest=sha256:34d70e01e8b6ff19809b0574ac6b422ce63b755bafb6cb2bed019b9bfdf720a8

Observation f2d800ca-0187-4ec5-8948-04f448e70d30 · outbound

This paper cites Equivariant Diffusion for Molecule Generation in 3D.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Equivariant Diffusion for Molecule Generation in 3D

Reference 6

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source=pdf_text observed=2026-08-11T10:36:19.450042Z digest=sha256:57bb33cded91b1ea3058adfd04538a790b74e2cb4f55201b7e5e8d1cf339c1a0

Observation 7e2c9739-a6b2-4130-b549-c1fd9b35d7a4 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks DiGress: Discrete Denoising diffusion for graph generation

Reference 7

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source=pdf_text observed=2026-08-11T10:36:19.462020Z digest=sha256:e1a3c1412d8489cf67f74ac45813420e7f8197ebfa25ddf7c37a581b033492fd

Observation f2d5ee65-ddba-4089-b05c-05c509b72b3e · outbound

This paper cites Generative adversarial networks,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Generative adversarial networks,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.471020Z digest=sha256:67239a449da107489e8edf3900e876b06db3b3acaa2ab38666a32c636f82b216

Observation d0cc3600-c4b5-4c1e-b3fd-00beb3c20bd5 · outbound

This paper cites Auto-Encoding Variational Bayes.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Auto-Encoding Variational Bayes

Reference 9

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source=pdf_text observed=2026-08-11T10:36:19.483284Z digest=sha256:9d02c0b3806bc96ff056a9920d53bf4e62ac520fb4330f87a4917bcd912c8c66

Observation 42d0ed4d-46f7-48fc-b310-40d909aa12ca · outbound

This paper cites Fast ode- based sampling for diffusion models in around 5 steps,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Fast ode- based sampling for diffusion models in around 5 steps,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.496505Z digest=sha256:5faeb6b700f9c1b5f34d62791849563263aad021f88e5772ab02fbcd585f53dc

Observation e899acbb-2a02-40e0-bcc0-9ddb9932a8e6 · outbound

This paper cites Flow Matching for Generative Modeling.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Flow Matching for Generative Modeling

Reference 11

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source=pdf_text observed=2026-08-11T10:36:19.506675Z digest=sha256:b71eb6560f4ffd6975a251aa402a40c43dcd40982d50db2af0059f9c42a93701

Observation fd5fa73d-ce3b-4ed5-98b1-a79b80f90bca · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 12

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source=pdf_text observed=2026-08-11T10:36:19.517332Z digest=sha256:f4d1f95bfa5ed5a297eeb869536a18aaf03e0216b793073c2118dafd588da297

Observation f62cdcca-36a2-4a92-9ec9-f73a13860b40 · outbound

This paper cites Con- sistency models,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Con- sistency models,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.528021Z digest=sha256:59ca18297440056add973a765a7fb3baa78366c48a57d3efcee5b777020c4741

Observation 3b416d75-2beb-4a29-b833-2283afa83c73 · outbound

This paper cites VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.539120Z digest=sha256:117bd9ed2c06b07a8c1dd0b61c9c04cfca33d293ecdf5ee969bd96487ec44ac1

Observation 3e7ae812-637a-4fe0-b394-e7c3c93d3e74 · outbound

This paper cites Trojdiff: Trojan attacks on diffusion models with diverse targets,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Trojdiff: Trojan attacks on diffusion models with diverse targets,

Reference 15

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source=pdf_text observed=2026-08-11T10:36:19.548675Z digest=sha256:ff2b97c6cbd87ccfd5c427100aed05f580e6d8604bd75302ccbcc9f89023e33a

Observation f4932ec3-d4dc-452e-8576-dde5bd182e13 · outbound

This paper cites How to backdoor diffusion models?,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks How to backdoor diffusion models?,

Reference 16

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.556322Z digest=sha256:70608b9d521dfa7c437a10081c08b7a2a5c2540f75167e83fe5af1f9a4604e82

Observation 47ea2890-466c-454e-ac0c-8d6cb64d5180 · outbound

This paper cites UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models

Reference 17

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source=pdf_text observed=2026-08-11T10:36:19.566107Z digest=sha256:8b1bbc8fe5cac07807e833f779dc0ed18061ebf5fa7ce351672137a594b8e022

Observation 31f1da38-4c24-462c-9d90-494b69dc3fca · outbound

This paper cites TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors

Reference 18

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source=pdf_text observed=2026-08-11T10:36:19.574072Z digest=sha256:111a484d543bc0271cdaea14690664526a17962bfa6812190f68c1669a083e55

Observation d03a82fc-1064-49cb-be5e-f54daa9b487f · outbound

This paper cites Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.580487Z digest=sha256:853d2058b289a61220e14636240fec57d9e62f585907fc4a900aad998016febe

Observation c62b8484-3308-4ba7-ac9d-cd01bd8ae6e9 · outbound

This paper cites How to backdoor consistency models?,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks How to backdoor consistency models?,

Reference 20

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source=pdf_text observed=2026-08-11T10:36:19.586916Z digest=sha256:c3683d078cfbaa8053da811d360fcfc7a929d8c59c3dc05194d6bc392339d0db

Observation 2d4f237a-add5-448d-8812-048a47151fbf · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neural networks,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Badnets: Evaluating backdooring attacks on deep neural networks,

Reference 21

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source=pdf_text observed=2026-08-11T10:36:19.596201Z digest=sha256:42f87c91f5d2ef2dda23bd81132f95d6eb3a81fcba7cb6c459cce039b95fb179

Observation b36cb37a-0259-4b58-b69e-fc5806126294 · outbound

This paper cites Invisible backdoor attack with sample-specific triggers,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Invisible backdoor attack with sample-specific triggers,

Reference 22

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source=pdf_text observed=2026-08-11T10:36:19.602484Z digest=sha256:808022668a8a2b0cf6d08a53b006dba7ddc346764516ab9caccca1a580238b8f

Observation 57edba2c-5467-46c0-9d43-36578a888db8 · outbound

This paper cites Invisible Backdoor Attacks on Diffusion Models.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Invisible Backdoor Attacks on Diffusion Models

Reference 23

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source=pdf_text observed=2026-08-11T10:36:19.611462Z digest=sha256:87b923054dff5b8a8729632bf3c19beccf393beae42bed602164bed41f9dd060

Observation fc73d50b-7e93-4571-b123-fbeb618f5d03 · outbound

This paper cites Learning multiple layers of features from tiny images,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Learning multiple layers of features from tiny images,

Reference 24

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source=pdf_text observed=2026-08-11T10:36:19.619914Z digest=sha256:d3c33be2ad714d5d055327b8ef324d7c90ca92caf4454edc042fc1cad4428332

Observation 9a9417d9-a8eb-4f42-b902-911469c51864 · outbound

This paper cites Deep learning face attributes in the wild,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Deep learning face attributes in the wild,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.632882Z digest=sha256:f5eafc9dbf227826817a3e48b12ea5540577cdaf71d10d012ccd1e7d5e9ce9d0

Observation bf2d7314-fb59-447f-a0e5-b6c9701da08f · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.644536Z digest=sha256:68bc14a11cc18d54fb9d667d458f050bbcf6dca70882a86170e1fa9966c70e92

Observation a66fc482-adf9-44a2-879a-8d12a7b181fd · outbound

This paper cites Improved precision and recall metric for assessing generative models,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Improved precision and recall metric for assessing generative models,

Reference 27

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raw_fallback, observed 2026-08-11T10:36:20.622174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.657713Z digest=sha256:25137fbcf753312acce94d410c1c1ffaa162ccfcd13ba119b943fc41341493e9

Observation 3596db0a-d12b-4cf5-a72e-b1bc8ed70ea3 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

TrojFlow: Flow Models are Natural Targets for Trojan Attacks Adding conditional control to text-to-image diffusion models,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:36:19.680687Z digest=sha256:5c020369a6113947c066c873f126b2195f64549111cdb10dbeb985e762f32dec

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