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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:29.976011Z digest=sha256:104ae4c64767c81e2e19ce78f5174ce75cd3d0f0af3b0c04d40b357fba307394

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

Resolution
verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:29.980415Z digest=sha256:138122619cbde64c76c4047f2065cb207ab0e3040062f2a15196828d0ddb923f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:29.984458Z digest=sha256:5c27d8f88e1924a57c0a3f2c040dea6caf0ee188d7eb22e2b54fe49ee4ebe345

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:29.988402Z digest=sha256:1b681b40db65f3855866a47a3326498e8c80a0efa5c3220bdf07dc8f0205585e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:29.992565Z digest=sha256:4d14910db70ab6b64f7ed8a8b9e583923ada0a091641c8e5d047e8765deb3a1a

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:29.996167Z digest=sha256:4e787bc7977e05197496d3831c1181ae85a5f7bfa9aa71e453bc4c519a652cd5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.000502Z digest=sha256:c686b479f132cc075f22b9eabcedbe49670dd7eb6ae53de450ccc026033fd28c

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.006033Z digest=sha256:16d1658a86597941d8bd7477512422f2b7ed942ac96acc718d755cc35401bcfb

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.012251Z digest=sha256:65e003e35a793d6accc11daa6d3bbaa96ff4e40a3b8aa3cf2d45d6654d298bae

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.017797Z digest=sha256:1cfb459ba9e00d045b6848b5202d6dee9b0eb516e7bd832059270aebdf15bbe9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.030234Z digest=sha256:0cda802d8ab840794bda5e80a9acff056576b67ee074fbeecebad55e7f6d4a34

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.044210Z digest=sha256:1c4c7d0efb3fa234e8cfe51ece47daf76b43130e0d94fa6aa5b5b261c63061ac

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
verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.048141Z digest=sha256:1e0725894fb8b6438ecb08151576d5c73e36d003075c5164b7d66176943df099

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.051946Z digest=sha256:fa7e7eb227f8b4bdd1275337318f5274106e9cb616dc8e7719a6db7404a86ef8

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.055827Z digest=sha256:1cd641cc59b9b470a9701670e11cf4ac07878a421b5478d0f227c3e497e2e969

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.059735Z digest=sha256:c88b4bd60902a9cf75102b58efdcef2189717ceb0ce308b96e0c0d2ce2d77647

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.064573Z digest=sha256:0a776b0bbd45a8fa58c49c54d46c7296fe12c2287c1389d355623fc3dd2777e0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.068921Z digest=sha256:3262631178048095ccacbd0fd36c0e259eb33a358890b52972f47a4b9b7fb5ba

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.072761Z digest=sha256:3aad14f76bd2b82c3e820f41bbb45948b0bc653047ada323b156d0f6cf362f22

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.076686Z digest=sha256:84599345267e59b86007896b2422ccc675cc60b1200758ba754602bd56eeaee8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.081659Z digest=sha256:ee29eb187b43b85e2127725e4fafa40f9cbf9741ae7b3bde76d286fdd4712078

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.085811Z digest=sha256:644547d73e1d872586bc08c359607735827114c73b672a21f2cf7d32c199aedb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.090080Z digest=sha256:c8ce70e81e907b0fc414a3e89927c6ee32d390bbd6ff821cc425cb05ca0e5489

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.094053Z digest=sha256:0563c85c2e66bb64623598228b121d63d04e311cdad6f9e65afb6249c05a0ea0

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.

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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
verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.102097Z digest=sha256:b45df734d57676e64b4d07a71252df8e60978fddf065d97d735985d1492db760

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.105405Z digest=sha256:bec6e4402559c19c161cf987513a9581a6dacc62778c648db77a34f8c70cc61c

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.119622Z digest=sha256:6f517f19b7abd3c47110a4e4c5461be16ccb20d103b78e198db420191acc0c01

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.123261Z digest=sha256:f9e747e5a051b4b3204a6de6ab684e1e0552d84c2d5da83dfcf3109bea965538

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:41:30.126672Z digest=sha256:45af9a9fb14302d6971615ef9d877ff446945f6caaa294d0b04ca44f1c3153b2

Pith citing papers

No inbound Pith citation observations are available.