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Paper Citation Record · LEDGER

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:42de6d68f9c8e84fab1ae08fd642280d63f40149be0c62764f6b771a8880bd93

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:c6ddbadaaccac44f2587ba402a75541fbc5ef3333ef37ad2a328a6da1691a1d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:30:06.396482Z digest=sha256:5c2efc89288e495d80598e59d5b5180d2618b382844f6ea3255451a1cb5a7525

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T06:59:54.879224Z digest=sha256:7d428ef7d0345b36e7b61edd189bc3911e72ff51a20576f8c061a63376bb01d0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:18:52.615600Z digest=sha256:ed78018e7cf64e08cc3ba65cb3c13fabeb4cc256239ee268bc1f0d69eba02a43

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T17:27:29.241219Z digest=sha256:60d23270a0b39418abc69ee364df67acd5960517369b4228044d24fcb9b2800f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T04:14:05.806256Z digest=sha256:abab0107807342dbd183de18f6bd27816c5dbbdd30440f5d0a8c72d49e92a451

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:df6cad176b8542fbedc022b94e6873fb0e47ba4e57b4cae21b75961990e24e27