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Paper Citation Record · LEDGER

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1912.00888.

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

pith.paper-citation-record.v1
1912.00888 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:39.211953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.982424Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 77924b43-344d-4967-8a07-ca4b55b1c8a9 · inbound

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models cites this paper.

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:59:39.211953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:59:39.211953Z digest=sha256:86c3a560c299fbc1e6d007a22b598bff8097872e6bd08c738edff0ea67417071

Observation 2f694637-36bb-466f-9f8d-8480bd01dafc · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 132

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:37.476907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:12:37.476907Z digest=sha256:4c13d790b427eac4ac2df4d0ad5f3f06af6384fba6d70a00d5a9d39e65d17d94

Observation 82ec69e5-0db7-4d7f-b5df-71825e104e83 · inbound

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps cites this paper.

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:49.053646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:30:06.396482Z digest=sha256:44d9d0baa5c949b278da05827f32b614e3afbfc827da5c03617f6fe4150ac680

Observation 33ec1be6-fc7f-4c2e-96fe-73c552ee0eea · inbound

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models cites this paper.

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:01:49.208099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T06:59:54.879224Z digest=sha256:54dca191e8227aaf546a48f903a5cb04f272f35aa4eb203fd3e1bb23798d6cfe

Observation 3ba56c81-6834-4e81-8ba9-550d1bfd17c4 · inbound

COPYCOP: Ownership Verification for Graph Neural Networks cites this paper.

COPYCOP: Ownership Verification for Graph Neural Networks Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:13.033022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T16:18:52.615600Z digest=sha256:83227f0e97abf39556260a40573abb45eab19f5fb1d718af689130db2d555a0a

Observation 99957acb-3ea5-493b-979f-bacdc5a2b11b · inbound

Landseer: Exploring the Machine Learning Defense Landscape cites this paper.

Landseer: Exploring the Machine Learning Defense Landscape Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:33:45.377568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T17:27:29.241219Z digest=sha256:31a88164bb8cabdebbdb60de89dcdf5a50ce193b31de93beedf4aa7a887e81e4

Observation 86ef2a5e-fdc1-4761-828d-82f487ce634c · inbound

Diffusion Model Attribution via Spectral Coupling of Denoiser Responses cites this paper.

Diffusion Model Attribution via Spectral Coupling of Denoiser Responses Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:50.983781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T04:14:05.806256Z digest=sha256:ec3f683eb9b74dd810f3ab443f8ac289a147736a71a5d7ebfe4b81cacfaddd71

Observation 978fe0bd-1e7b-47c2-88a1-ed8580c8f086 · inbound

What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry cites this paper.

What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T11:05:27.774368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:05:27.774368Z digest=sha256:69f4f1b61ca9ec5f524721a3a6dba4cd6d9437bb64c33da79833852f3824cd57