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Paper Citation Record · LEDGER

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2412.16449.

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

pith.paper-citation-record.v1
2412.16449 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:41:30.126672Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7106eff-d150-42b3-8ebc-ecbf9a65643d · outbound

This paper cites In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.590804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:29.976011Z digest=sha256:c960db38c36b07710f62ded7ce0f63c0051719f569ca1ac4064888b76530b291

Observation 7375a119-5b48-49f6-8d08-75de159df198 · outbound

This paper cites In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Reference 2

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raw_fallback, observed 2026-08-11T10:41:30.578542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:29.980415Z digest=sha256:0357c2f32d62dda1bd9b9b47e6724f3cb5bd07c2aa2ca0749ba4c522ff5c8982

Observation 3672e9bf-bef8-4dc9-884a-def85541e37b · outbound

This paper cites IACR Cryptol.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference IACR Cryptol

Reference 3

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raw_fallback, observed 2026-08-11T10:41:30.567053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:29.984458Z digest=sha256:a540e0da16fe2eda8a216ad1e0ac156b7082a1f0e014bf08c19cfe5aa00b5407

Observation fb172eef-5b07-4c56-b7f6-e092ec8a1cf8 · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-11T10:41:30.554258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:29.988402Z digest=sha256:295e8b7b36ccf7dc05e3aec59c7fc86b59e730a231ef5cebe33e4eb0e2d152b5

Observation e6ec7ce8-6730-4136-8f3b-f5322c7aac1a · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:41:30.543201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:29.992565Z digest=sha256:5ea64bc65991daecceabe3b47f4f95f3ba60e9a2c5c568d2ec3abc9129121341

Observation ab66335b-5d71-4bed-9a36-54432ab02fd6 · outbound

This paper cites In: Advances in Cryptology–CRYPTO 2018: 38th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 19–23, 2018, Proceedings, Part III 38.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Advances in Cryptology–CRYPTO 2018: 38th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 19–23, 2018, Proceedings, Part III 38

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.530372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:29.996167Z digest=sha256:c2d0ddf24547ec38afbd9eb8b92befa56db2dfe1a7305cc7d4734159035f9e87

Observation 647b04a4-db53-41ad-bacc-861d1e714853 · outbound

This paper cites ACM Transactions on Computation Theory (TOCT) 6(3), 1–36 (2014).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference ACM Transactions on Computation Theory (TOCT) 6(3), 1–36 (2014)

Reference 7

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raw_fallback, observed 2026-08-11T10:41:30.517244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.000502Z digest=sha256:e919f30759a6e34b1c8694d52b6072b81373991a27e0e5e04b10eb7c7f060551

Observation fbf73b7a-00c8-46cc-8c3d-7408017434ee · outbound

This paper cites SIAM Journal on computing43(2), 831–871 (2014).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference SIAM Journal on computing43(2), 831–871 (2014)

Reference 8

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.504597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.006033Z digest=sha256:0104ef16982efaf93a511a9e1f2aa54a863d93939b660768e27b452e9913269f

Observation e376e0d4-a804-424d-a238-00cccfc9f9c1 · outbound

This paper cites In: 2019 IEEE European Symposium on Security and Privacy (EuroS&P).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: 2019 IEEE European Symposium on Security and Privacy (EuroS&P)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.491403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.012251Z digest=sha256:47c22d834e0ac862edc2c75fa774ae5aef8a9bd655f04eb5254a7c64b222688b

Observation 2810ae28-b773-47d7-8c1d-9819117ce58d · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:41:30.477264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.017797Z digest=sha256:efa411a21f7907a8674ef6165f22080758f7584d41c44090748fbd18aaa3ac30

Observation a755d210-5377-4d6f-8941-d2a3ff92e3bf · outbound

This paper cites Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T10:41:30.022000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.022000Z digest=sha256:a1891550b56e265899239b828b8f1f9366cdbf05cc2fb3fdd73d504b1974b5fa

Observation 4dc5490d-f9ff-4f3d-bd95-30c35ed124b7 · outbound

This paper cites In: International conference on machine learning.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: International conference on machine learning

Reference 12

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.462942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.030234Z digest=sha256:818253eee78ca1473459f91f4fbb46eb7df7e08cccf2aa419acbf30b17e04fae

Observation 0d0d1002-adac-4030-b9d7-f30a6c38f35d · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T10:41:30.035724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.035724Z digest=sha256:336edc96ae33acf9316716d95a99217cbd3430631442ec7ff7a14f1435c31d2e

Observation f2af4e1b-4eba-4710-af77-5ba12c668687 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Distilling the Knowledge in a Neural Network

Reference 14

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unresolved
no resolver link, observed 2026-08-11T10:41:30.040165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.040165Z digest=sha256:6050a288f9cbb8d68384d71e9db46d1e04549414ea0fd281bbdce48eef00a9d3

Observation 399b5e43-25e1-4def-b888-feaf59c46635 · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:41:30.442722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.044210Z digest=sha256:6b429fd7adafc4625fcb90503e980199dfbbc56d5438cb96a8dd59d90446ed43

Observation 3c733f60-c4f4-4717-9600-11a55cc7701e · outbound

This paper cites In: Proceedings of the 2021 ACM Workshop on Informa- tion Hiding and Multimedia Security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2021 ACM Workshop on Informa- tion Hiding and Multimedia Security

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.428256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.048141Z digest=sha256:015d9aa9645dd08a8a1d299852d6ac3362a19a3ddf258ae8f310c8db94cae07c

Observation b8932831-aea3-427f-bbdf-d923559d4154 · outbound

This paper cites In: Annual International Cryptology Conference.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Annual International Cryptology Conference

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.415197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.051946Z digest=sha256:efa872ff36165c406e60347ef99348eacc302f5693642bef8b2343f3377a88b9

Observation 654d868e-10d9-4b0a-a6ba-98b621e1d649 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.401667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.055827Z digest=sha256:c266963be9e896e55ca518f8b28416bd37593bc78e75a05a163dd46ed0dab2c0

Observation 3d5c45f8-9515-4cf2-bf2e-9fb5abbf0535 · outbound

This paper cites In: 27th USENIX Security Sympo- sium (USENIX Security 18).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: 27th USENIX Security Sympo- sium (USENIX Security 18)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.386692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.059735Z digest=sha256:5e5e201dbd089c9c9455c5054832641ea5f2be58e01640db564263b91413ede0

Observation e8af9ce5-f040-467e-826b-36195ce35181 · outbound

This paper cites In: Proceedings of the 2017 ACM SIGSAC conference on computer and communications security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2017 ACM SIGSAC conference on computer and communications security

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.375739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.064573Z digest=sha256:7053e14a0c9add24194766dc430e2cd20be26b77a3295713426653aa4261ae26

Observation 2b99167f-a96b-410b-9e2e-bc07d5711a58 · outbound

This paper cites In: Proceedings of the 2018 ACM SIGSAC conference on computer and communi- cations security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2018 ACM SIGSAC conference on computer and communi- cations security

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.364032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.068921Z digest=sha256:618477cff8a8fd74ebce22d0dfd8ad2a078472e370623baa2cf6a9b2e5a71703

Observation 2a996d84-2d19-4dd0-82d4-3f1a22cf5f13 · outbound

This paper cites In: 2017 IEEE symposium on security and privacy (SP).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: 2017 IEEE symposium on security and privacy (SP)

Reference 22

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.353521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.072761Z digest=sha256:993f806fb5d98c3980d2d7c1c63fe921f561d48ddcc05f2c468613b8aa5cdd0d

Observation 0abb44e3-9280-4e61-93ac-14ed403156f5 · outbound

This paper cites Cryptology ePrint Archive (2005).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Cryptology ePrint Archive (2005)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.342131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.076686Z digest=sha256:798003057ade759f4eca2d4b13d747595a93538d415ce526e15b141b956881c8

Observation a5952731-8891-4902-985c-03ac954f20c0 · outbound

This paper cites In: European conference on computer vision.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: European conference on computer vision

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.328442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.081659Z digest=sha256:735f889e67b80a0d125d94e1f4f67a466ef87a522b0d277064f271fa4f856cdb

Observation 0e8d484f-5252-407d-872c-6bf8627e93d1 · outbound

This paper cites In: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.314554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.085811Z digest=sha256:230cf8acd9f52ae441e931f1b224b2c48ed9b7a10e21078ea61aed745a0fd763

Observation 5c895959-4807-4e85-9f17-05d3e93b09b7 · outbound

This paper cites In: 28th USENIX Security Symposium (USENIX Security 19).

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: 28th USENIX Security Symposium (USENIX Security 19)

Reference 26

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raw_fallback, observed 2026-08-11T10:41:30.302077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.090080Z digest=sha256:4f2e4f37379ef86c2d3ca082f8033bd409a554fcea955ee63b880bbba7565879

Observation 88d4c57e-9bb3-413b-a2f0-0750bd93f672 · outbound

This paper cites In: Proceedings of the 2018 on Asia conference on computer and communications security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 2018 on Asia conference on computer and communications security

Reference 27

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.288468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.094053Z digest=sha256:ffb2c24ee69be2b680b96a959804cf5c098c1cf9f50657d98c1acb96ef6432ec

Observation 1e1ccdf3-f021-40f6-b1a9-f9da9bcf83dd · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference FitNets: Hints for Thin Deep Nets

Reference 28

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unresolved
no resolver link, observed 2026-08-11T10:41:30.097934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.097934Z digest=sha256:6161cfb87f6341e23ef08f989ee4d5cde1afe376693b1638d94d2bbcba802a14

Observation 7310530e-2d70-4c23-a4c7-e85d6e1b8cc4 · outbound

This paper cites In: Proceedings of the 55th annual design automation conference.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 55th annual design automation conference

Reference 29

Resolution
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raw_fallback, observed 2026-08-11T10:41:30.276526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.102097Z digest=sha256:97e39767afead3980f223f5d6deb049b68f7dae90aaa86ab50447ff165456c0f

Observation e9b6340b-3276-4473-ac35-fee0dd045ea7 · outbound

This paper cites In: Proceedings of the 59th ACM/IEEE Design Automation Conference.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Proceedings of the 59th ACM/IEEE Design Automation Conference

Reference 30

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raw_fallback, observed 2026-08-11T10:41:30.263933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.105405Z digest=sha256:11e6867536b6e7994e15422fe144da0eea940eca5b4141c4756e306c3ae9dd0c

Observation 724f67d7-36b5-4835-b8b6-2c4c1ce60b80 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 31

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unresolved
no resolver link, observed 2026-08-11T10:41:30.108628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.108628Z digest=sha256:927e580acb48905e3c3f55b61c4c56b87bdc7e0cef13436bd1805ca814e61354

Observation d6ffd2a9-1e3a-4698-aff4-feb4b824d508 · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-11T10:41:30.112497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.112497Z digest=sha256:6fd6f96a85b106d5c8164799182eed2cbb4c25ce8208b7120f00e62d01249ce8

Observation c8548866-2cae-4378-afe7-4a298f54652d · outbound

This paper cites FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 33

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unresolved
no resolver link, observed 2026-08-11T10:41:30.115831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:41:30.115831Z digest=sha256:f06072fb816b523a4d99e84a1b4b773685fd1be832f2093eb4a0935e991bab84

Observation bea08c7f-aee8-440d-a87c-bc69635886ff · outbound

This paper cites In: Procedings the 19th Annual ACM Symposium on the Theory of Computing.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: Procedings the 19th Annual ACM Symposium on the Theory of Computing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.244289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.119622Z digest=sha256:716e6206a95f984d76cc1f9ce1ac3dfb2c5fd66ef4a1f50f834ac644278760dd

Observation 90890605-ef6c-4ba0-be2f-12bfa1149c10 · outbound

This paper cites In: European Symposium on Research in Computer Security.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference In: European Symposium on Research in Computer Security

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T10:41:30.231896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.123261Z digest=sha256:13d73df8d66c37b996ac3f98da4e19204c950f2f79c36395a01e7fbdfb79b7e2

Observation f68b0b73-a62b-4100-9f1a-208409d2d9d7 · outbound

This paper cites an unresolved cited work.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:41:30.219734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T10:41:30.126672Z digest=sha256:65ee75998dbed6508ea700c7ef7f8d43a51440c155f3276b79481f35f1a8e92f

Pith citing papers

No inbound Pith citation observations are available.