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Paper Citation Record · LEDGER

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint

As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 2 inbound Pith citation observations for arXiv:2501.15509.

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

pith.paper-citation-record.v1
2501.15509 v5

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:17:51.425002Z

measured 60 of 60 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:37:25.379439Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:53.095114Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact4
  • verified fuzzy48
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4eca9e9-f5be-434d-8c7a-fe421e370de0 · outbound

This paper cites Diagnosis: Detecting unauthorized data usages in text-to-image diffusion models,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Diagnosis: Detecting unauthorized data usages in text-to-image diffusion models,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.218019Z

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=pdf_text observed=2026-08-10T14:17:51.212171Z digest=sha256:605d8298b1c781137c13cae375b62940940cd2732c044b1f25796dfac274edf5

Observation f0d27ba2-6d35-4d19-99f6-b284487ab39a · outbound

This paper cites Deepreg: A trustworthy and privacy-friendly ownership regulatory framework for deep learning models,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Deepreg: A trustworthy and privacy-friendly ownership regulatory framework for deep learning models,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.205847Z

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=pdf_text observed=2026-08-10T14:17:51.216268Z digest=sha256:e9177fe616efccdf14e9dd22fc4b4e25a33be7b000aa6216f032f23355ce5909

Observation d50169eb-cc53-4149-a2c3-8e459d881fde · outbound

This paper cites Smartguard: Leveraging large language models for network attack detection through audit log analysis and summarization,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Smartguard: Leveraging large language models for network attack detection through audit log analysis and summarization,

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-10T14:17:51.668535Z

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=pdf_text observed=2026-08-10T14:17:51.219854Z digest=sha256:1ff9ee678c57cfcb275aa2162e007eee29edea9f49f5b8fd726f9016c44ce23f

Observation 07f464ef-d15d-454f-a9c4-43180d07ca08 · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Fine-pruning: Defending against backdooring attacks on deep neural networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.195359Z

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=pdf_text observed=2026-08-10T14:17:51.223855Z digest=sha256:4987784e3cc45917a9c8c80aa66182cdb5bd540584cd959c05a5b744800f562b

Observation 152f20a0-4beb-42bc-948d-db8aa947138a · outbound

This paper cites A comprehensive survey on transfer learning,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint A comprehensive survey on transfer learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.183945Z

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=pdf_text observed=2026-08-10T14:17:51.227500Z digest=sha256:9664dc33d224f2877ec441e317807c8cf9a5cf56f03f8009e510f6875f0fd4d3

Observation dcc4cd23-4fa4-4c2f-8af5-b6a7f3fc05bc · outbound

This paper cites Protecting deep learning model copyrights with adversarial example-free reuse detection,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Protecting deep learning model copyrights with adversarial example-free reuse detection,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.172431Z

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=pdf_text observed=2026-08-10T14:17:51.231267Z digest=sha256:778dad10917142d2e7048e1a4ff4401a71c22e625aa0f78c28266c3269053686

Observation 8c0ec1bc-e5ce-4141-a693-a25cd998bafb · outbound

This paper cites Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:51.235353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:51.235353Z digest=sha256:31ef4ef3972b48d36a806618750922a4a8bce42b3cd10d5d1cb87c87e4a25b7c

Observation 74e5cc29-0382-47f8-8721-17f0d781820f · outbound

This paper cites Queries, representation & detection: The next 100 model fingerprinting schemes,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Queries, representation & detection: The next 100 model fingerprinting schemes,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.154057Z

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=pdf_text observed=2026-08-10T14:17:51.239308Z digest=sha256:ed328c116763a9a53818d8ddccf525fcae4fbb9e602dc73bb3451a74d802d12f

Observation b13e439e-2414-42e5-9107-1ade55ce6a1b · outbound

This paper cites Passport- aware normalization for deep model protection,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Passport- aware normalization for deep model protection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.143615Z

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=pdf_text observed=2026-08-10T14:17:51.243491Z digest=sha256:b9d292c87d9fb9a295e8b6edd123cfd28a89d62ae0b4a5f6040e24b2550c34e5

Observation 3e193ef3-01b4-44e7-963f-e881c6558a92 · outbound

This paper cites Deep Intellectual Property Protection: A Survey.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Deep Intellectual Property Protection: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:51.248112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:51.248112Z digest=sha256:3c66485be96971a610060bda842774a39dff79087716283c099008696996d1fd

Observation fadd1a2b-c5f1-406a-b660-8db3edcbc18a · outbound

This paper cites Move: Effective and harmless ownership verification via embedded external features,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Move: Effective and harmless ownership verification via embedded external features,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.132104Z

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=pdf_text observed=2026-08-10T14:17:51.251938Z digest=sha256:8116cba489003472eca01ed1373cddf0446ea1a02d1214942853dbfc6553633c

Observation a72ca051-527f-46a4-ac7a-0c16624344a9 · outbound

This paper cites Turning your weakness into a strength: Watermarking deep neural networks by backdooring,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Turning your weakness into a strength: Watermarking deep neural networks by backdooring,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.121392Z

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=pdf_text observed=2026-08-10T14:17:51.255630Z digest=sha256:2807896d8cfda61f6c1bc29023ce2048860796afc7fa002616c9bb7cb3a6d158

Observation 732a3c50-eb0c-40bb-ae0a-c1645f4392b1 · outbound

This paper cites Fedtracker: Furnishing ownership verification and traceability for fed- erated learning model,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Fedtracker: Furnishing ownership verification and traceability for fed- erated learning model,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.110274Z

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=pdf_text observed=2026-08-10T14:17:51.258974Z digest=sha256:764ec61ee71d63a017e19e26d81592927d8f5f85cc10e3dd8f444070e9d21ab8

Observation 78eb268d-e070-49d0-aec3-b2a088de6729 · outbound

This paper cites Ipguard: Protecting intellectual property of deep neural networks via fingerprinting the classification boundary,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Ipguard: Protecting intellectual property of deep neural networks via fingerprinting the classification boundary,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.098486Z

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=pdf_text observed=2026-08-10T14:17:51.262895Z digest=sha256:7f9a09c1a53a5a92dc1479f43cf26fff3340cca3d65f1c611291aa4296546eb6

Observation c1720090-b37c-446e-b36e-e4d29a3bedba · outbound

This paper cites ModelDiff: Testing- based DNN similarity comparison for model reuse detection,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint ModelDiff: Testing- based DNN similarity comparison for model reuse detection,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.086413Z

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=pdf_text observed=2026-08-10T14:17:51.266162Z digest=sha256:53f66acf89b501d28db5e3a22ec247faa0b0e10e14624a9e92962edb2c3060af

Observation 5255ccc8-6a08-491e-8384-d42ead142679 · outbound

This paper cites A Zest of LIME: Towards Architecture-Independent Model Distances,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint A Zest of LIME: Towards Architecture-Independent Model Distances,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.074763Z

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=pdf_text observed=2026-08-10T14:17:51.269494Z digest=sha256:db7da93c2baae448c4214e031a48e2b0fdc460b3d9bbd646a6e16ab603b58f63

Observation 598049a7-b8b6-498e-b391-09f1f1e50f16 · outbound

This paper cites Metafinger: Fingerprinting the deep neural networks with meta-training,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Metafinger: Fingerprinting the deep neural networks with meta-training,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.063715Z

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=pdf_text observed=2026-08-10T14:17:51.273376Z digest=sha256:0545fbc3404bba355805686dd038f9a9cdeaa67f1bdd3a94144833dcaf50cbeb

Observation e5cd807b-d1ba-41be-877f-3e0fb304f44f · outbound

This paper cites False claims against model ownership resolution,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint False claims against model ownership resolution,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.052919Z

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=pdf_text observed=2026-08-10T14:17:51.277691Z digest=sha256:4c619dce983b9c3cf113ae98a1fcaeaff445964fb2db9799c88febddf7d39b1c

Observation 040537c2-74c7-4e4c-922e-f38e6a1fb5b3 · outbound

This paper cites Deep Neural Network Fingerprinting by Conferrable Adversarial Examples,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Deep Neural Network Fingerprinting by Conferrable Adversarial Examples,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.042663Z

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=pdf_text observed=2026-08-10T14:17:51.281421Z digest=sha256:c054d715ef0f2fc3b7a8e48f36ca428ef27071b24bfba43603d208951cdc3e98

Observation 4315b0ca-83f9-4623-aafd-6016a84518f5 · outbound

This paper cites Probabilistically Robust Watermarking of Neural Networks.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Probabilistically Robust Watermarking of Neural Networks

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:17:51.587901Z

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=pdf_text observed=2026-08-10T14:17:51.284498Z digest=sha256:d76be35b6f8636c7149e9a0ec03d8fbcde23bd1669a890be1a4c7f4c86110cf7

Observation 26462bda-5ee5-498f-99ba-f0944cd8bd4c · outbound

This paper cites Adversarial attacks and defenses in deep learning,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Adversarial attacks and defenses in deep learning,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:51.288065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:51.288065Z digest=sha256:4ef5ae9baa2c9399010482c29ce3da2938f7c9a3b980d928d5a75c9bc3f1e980

Observation 53345aa2-c288-4a4f-bf46-c6bd7750cc7c · outbound

This paper cites Feature importance-aware transferable adversarial attacks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Feature importance-aware transferable adversarial attacks,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.025001Z

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=pdf_text observed=2026-08-10T14:17:51.291396Z digest=sha256:a7ac0346ee8fa602c180b38a222a1990e3b0f861d1cf20f3eb22ec2cc5144db9

Observation 04088cdf-5655-48f3-90c3-84b0e68d39dc · outbound

This paper cites Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.013356Z

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=pdf_text observed=2026-08-10T14:17:51.294740Z digest=sha256:a6ee26834d975810e27169d352b934b642752745c505e94aa4f666de6c283969

Observation 64e1fd45-2117-4a59-8521-2906c2365203 · outbound

This paper cites Databench: Evaluating dataset auditing in deep learning from an adversarial perspective,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Databench: Evaluating dataset auditing in deep learning from an adversarial perspective,

Reference 24

Resolution
verified exact
raw_fallback, observed 2026-08-10T14:17:51.571512Z

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=pdf_text observed=2026-08-10T14:17:51.298407Z digest=sha256:6828acd25b51d1491b2955daab9bb5f0e3f788e2b9b3e6a52c66f84f20124e48

Observation 730ccaea-91f6-4dbb-8e53-5c35a5e1cf2e · outbound

This paper cites Explaining and harnessing adversarial examples,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Explaining and harnessing adversarial examples,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:52.001697Z

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=pdf_text observed=2026-08-10T14:17:51.302311Z digest=sha256:f4eea5a72608228d7129bafe69ceebe0f02d9e4c933a64c926a522385f51286f

Observation 15a1af12-7edb-479d-87f1-e6c46d0009b2 · outbound

This paper cites Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.989876Z

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=pdf_text observed=2026-08-10T14:17:51.306383Z digest=sha256:b5e7fcc4cf2969b2f4216521eb20507552f0ca056d8aa751dfacd08297c10bbf

Observation fb857f1e-2920-45ef-862d-3403836e5e8a · outbound

This paper cites Why should i trust you? explaining the predictions of any classifier,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Why should i trust you? explaining the predictions of any classifier,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.979480Z

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=pdf_text observed=2026-08-10T14:17:51.310249Z digest=sha256:358e2144dbe970be90c05e851e6dec1c81ae359f08f46b7cdade64835f830ff7

Observation 4256642c-fcf4-4ccc-9e18-f7cbb6393b63 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.968798Z

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=pdf_text observed=2026-08-10T14:17:51.314578Z digest=sha256:1f69fc40670f158aa2da3c41044fca2c325af842771c3e8caaf28c120fecfa57

Observation aa34616e-b71c-46f7-93e2-f4754ec113d5 · outbound

This paper cites Deep residual learning for image recognition,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Deep residual learning for image recognition,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:51.318145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:51.318145Z digest=sha256:4fb7936bf8318ef5a65fa18c56b4b9c725ddfa93547b43a627b02e0751558dce

Observation 38268add-650d-4e1b-855f-87cdd49bceed · outbound

This paper cites Automated flower classification over a large number of classes,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Automated flower classification over a large number of classes,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.951743Z

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=pdf_text observed=2026-08-10T14:17:51.322201Z digest=sha256:598362988f6d2aafe74c2d3e57d6083ae79915da38bc49145f35eab2d92815bc

Observation d692b7a4-7141-4577-a85b-73c6a4fba1a1 · outbound

This paper cites Novel dataset for fine-grained image categorization,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Novel dataset for fine-grained image categorization,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.939479Z

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=pdf_text observed=2026-08-10T14:17:51.325780Z digest=sha256:c30e99ec28bf2a98b737d1670dc922172ec424dbe4323bb7d38baeadf1bd894e

Observation a6d22fc5-7457-4031-9949-102141077ec6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Imagenet: A large-scale hierarchical image database,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.929800Z

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=pdf_text observed=2026-08-10T14:17:51.329207Z digest=sha256:933066d5efc47b82d3b4f842ecb8d36a38b58a81bf3d7528d60d4596d0ed6e54

Observation a9d791a1-b02e-4dbe-a9a0-d434c2e4a068 · outbound

This paper cites Metav: A meta-verifier approach to task-agnostic model fingerprinting,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Metav: A meta-verifier approach to task-agnostic model fingerprinting,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.919482Z

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=pdf_text observed=2026-08-10T14:17:51.332344Z digest=sha256:db30410d9fb25ea067ec0498b0eadb9f216fbae5cd37627ffebaafca133ed57e

Observation 14773970-1105-4ca2-9843-8d1220ff23ac · outbound

This paper cites Modelgif: Gradient fields for model functional distance,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Modelgif: Gradient fields for model functional distance,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.907854Z

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=pdf_text observed=2026-08-10T14:17:51.335627Z digest=sha256:41b47355be837b82dcd2a2a451eed6a067543ea6f3630746a4bc8b71585a0a7b

Observation 648a441a-48d7-4b75-9282-886e93873b0d · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Sgdr: Stochastic gradient descent with warm restarts,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.897164Z

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=pdf_text observed=2026-08-10T14:17:51.339339Z digest=sha256:9bec3b8111f571c4726abec6250002df4f579cf5521cee571423b95287720b25

Observation d150f55a-4b6d-4b1e-8609-09d5ebccd1a4 · outbound

This paper cites Explanation as a watermark: Towards harmless and multi-bit model ownership verification via watermarking feature attribution,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Explanation as a watermark: Towards harmless and multi-bit model ownership verification via watermarking feature attribution,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.887570Z

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=pdf_text observed=2026-08-10T14:17:51.342785Z digest=sha256:3c59d05fe99323036244327e7a916b34d6945f978141aebfac4ccc76e832727a

Observation 5228842a-eb39-4bee-99b4-1d62eadc7c5d · outbound

This paper cites LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:17:51.477171Z

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=pdf_text observed=2026-08-10T14:17:51.346031Z digest=sha256:82771b0dc82b4866c80cce04b80ebf63e689bf3681de0c44d1214f933f8dd0ae

Observation acfb6dea-1d4d-4a34-a9ee-0283ad5fd984 · outbound

This paper cites Towards transferable targeted adversarial examples,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Towards transferable targeted adversarial examples,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.875838Z

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=pdf_text observed=2026-08-10T14:17:51.350272Z digest=sha256:f78ff6494e6e5e0862a87a09ffd528599bc5a2f0298c7408400bdf35f783f03d

Observation 9454804e-780d-4d96-82f7-2f4b5657efca · outbound

This paper cites Removalnet: Dnn fingerprint removal attacks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Removalnet: Dnn fingerprint removal attacks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.865430Z

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=pdf_text observed=2026-08-10T14:17:51.354394Z digest=sha256:900e38f4e40b9f9d75bc29b80150e03e001b32d490472d455035b175120d8e12

Observation 4a23f052-0e33-49c8-919a-b239702b07be · outbound

This paper cites Proof-of-learning: Definitions and practice,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Proof-of-learning: Definitions and practice,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.855408Z

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=pdf_text observed=2026-08-10T14:17:51.357750Z digest=sha256:1faff60b7ca3b2ededf16561b6fefc1dfb00d44f1c57609b71e1d3e084d53c23

Observation d6cebf99-594b-4f1f-a2f0-fbefc8e023e2 · outbound

This paper cites A dnn fingerprint for non- repudiable model ownership identification and piracy detection,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint A dnn fingerprint for non- repudiable model ownership identification and piracy detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.844667Z

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=pdf_text observed=2026-08-10T14:17:51.361238Z digest=sha256:031bf397dee6a70f98900c8ee00a564353dbe9821d628d26627e76124505a018

Observation 18448662-f31b-4518-9b7e-e5145833fa51 · outbound

This paper cites Neural network model protection with piracy identification and tampering localization capability,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Neural network model protection with piracy identification and tampering localization capability,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.833826Z

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=pdf_text observed=2026-08-10T14:17:51.364824Z digest=sha256:dec1f26cd858b23e80e7117eb72cc77990872a5cf1b09977adb2bd5430c3b50b

Observation f4bef518-4537-4483-8498-5c239a3b7f4f · outbound

This paper cites Copy, right? a testing framework for copyright protection of deep learning models,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Copy, right? a testing framework for copyright protection of deep learning models,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.823397Z

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=pdf_text observed=2026-08-10T14:17:51.367982Z digest=sha256:90aa8c3a71c17af9ac6ac74c8e576356184d896e4267abb5f9fb5071f8485914

Observation e3d0f24a-06a4-413d-a631-0eeb343361f6 · outbound

This paper cites Characteristic examples: High-robustness, low-transferability fingerprinting of neural networks,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Characteristic examples: High-robustness, low-transferability fingerprinting of neural networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.812620Z

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=pdf_text observed=2026-08-10T14:17:51.371492Z digest=sha256:070b23b434d79518e8848affbeb19bac1fec9164f0e7bb128b36531951dcf5d9

Observation 6f6ca1d7-151c-486a-866b-49bd714fec80 · outbound

This paper cites Teacher model fingerprinting attacks against transfer learning,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Teacher model fingerprinting attacks against transfer learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.801792Z

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=pdf_text observed=2026-08-10T14:17:51.374853Z digest=sha256:a6fcaa883287284c8839227ab3dea672da30b2506abd21c6b1e272faec31758f

Observation 29c49c0e-75c1-487c-8c9f-355a7e0a2a98 · outbound

This paper cites Attention is all you need,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Attention is all you need,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.791035Z

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=pdf_text observed=2026-08-10T14:17:51.378028Z digest=sha256:14ebb70c25db91f32791f4be6197e5aefe9092cab2a135448256b63502c6dd7e

Observation c247c4ef-c19d-45e0-bb84-bbb907f34a38 · outbound

This paper cites Gradient-based adversarial attacks against text transformers,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Gradient-based adversarial attacks against text transformers,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.779718Z

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=pdf_text observed=2026-08-10T14:17:51.381199Z digest=sha256:fcdcfd1754699873b5dbbe7678dbed5a720d24248d5f951926e45159d77750b8

Observation c12fc4cb-9b86-4382-b72f-23961d0a634e · outbound

This paper cites Promptcare: Prompt copyright protection by watermark injection and verification,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Promptcare: Prompt copyright protection by watermark injection and verification,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.767777Z

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=pdf_text observed=2026-08-10T14:17:51.384419Z digest=sha256:a247800a98585a270982b08efe892934f6b7713906e721f974e9fbf02c1222b5

Observation 714bd905-8a02-4c9a-ad41-7cd524e50dee · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.757647Z

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=pdf_text observed=2026-08-10T14:17:51.388440Z digest=sha256:1e85b89f206092347acc16bc14c5beda7b98c12bf3fa0f3b5f5959cf39a4c088

Observation 167606ea-56d8-449b-9bc7-88ccf55eb07a · outbound

This paper cites On benchmarking code llms for android malware analysis,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint On benchmarking code llms for android malware analysis,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.745959Z

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=pdf_text observed=2026-08-10T14:17:51.392434Z digest=sha256:dc9f2615f3ff44ed498cfe8584296ef352e195c7a400c61d6e88d2f0f7061352

Observation baf3fa4e-b9d4-455a-8f03-0d288e0a95b7 · outbound

This paper cites Modelshield: Adaptive and robust watermark against model extraction attack,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Modelshield: Adaptive and robust watermark against model extraction attack,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.735646Z

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=pdf_text observed=2026-08-10T14:17:51.396274Z digest=sha256:32e4578075f04036f321b6a4a3ab81ac57bfbe16124f6093fa63b3e81074e9b4

Observation d4f4cf04-4359-44d9-9479-76b92c692694 · outbound

This paper cites Sample correlation for fingerprinting deep face recognition,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Sample correlation for fingerprinting deep face recognition,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.724686Z

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=pdf_text observed=2026-08-10T14:17:51.400544Z digest=sha256:604ac93eaa57495410adae07e3c513af031b729791e7c7eb6c93035ad24ebfc7

Observation 3f444176-2cee-437e-b93b-e6e72ff8757b · outbound

This paper cites Language models are unsupervised multitask learners,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Language models are unsupervised multitask learners,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.711864Z

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=pdf_text observed=2026-08-10T14:17:51.403794Z digest=sha256:518c8e4980bd91242ba37a9683a0454df7c0974290c1dab23ea1917182f66de9

Observation ff421705-7cb2-4af1-99cf-cf8c468e1bf2 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.700119Z

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=pdf_text observed=2026-08-10T14:17:51.407761Z digest=sha256:a6f78ab8e43610af8c14b17116e518ad11ff413b8400228dae9d7986474626bc

Observation 716f2a1e-08c9-407f-8140-c7bced6a1dfe · outbound

This paper cites Building a large annotated corpus of English: The Penn Treebank,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Building a large annotated corpus of English: The Penn Treebank,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.689315Z

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=pdf_text observed=2026-08-10T14:17:51.411761Z digest=sha256:d3a0440315835182a836974a455e6f7185caefea6457947f71f29cc7aad9f493

Observation bb4c2cdd-34d7-4780-97d4-4a69e6f60bcb · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:51.416156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:51.416156Z digest=sha256:51980980928c8a47e8043c1679768c8fc5e206cc5d5179495bf902bad8b54015

Observation 862aed4b-21c4-4477-81b1-e80265d06b4b · outbound

This paper cites Rethinking Data Protection in the (Generative) Artificial Intelligence Era.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:51.420690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:51.420690Z digest=sha256:1516681147858a5dd0199ce46941a4d0494fcf439635854c2027e9bad186412b

Observation b28bea59-c624-4c80-b238-f5de33e2e5a9 · outbound

This paper cites Denoising diffusion probabilistic models,.

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Denoising diffusion probabilistic models,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:51.679328Z

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=pdf_text observed=2026-08-10T14:17:51.425002Z digest=sha256:4901343ab8cf110bc42785c85e69400060fd73fa0ddfb729363d67235c681b8f

Pith citing papers

Observation 9aede491-76dd-414d-82e8-7504127c222a · inbound

Rethinking Data Protection in the (Generative) Artificial Intelligence Era cites this paper.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-06T20:37:25.379439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:37:25.379439Z digest=sha256:4717eda7448d0243c304841515718f07b88f427dea34a46ea4f8cd5956e87e0d

Observation 440c9b87-75c9-4fda-8e17-fdda1d4234e6 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint

Reference 130

Resolution
verified exact
arxiv_id, observed 2026-06-09T02:06:01.638566Z

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=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:ed724646781cdbc3bfd79c7721ae96315b70ed8a5dac90a5e428d73d6bf6aed1