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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:29.976011Z digest=sha256:6a64529026bbd5437e35c36632568ec9d420541f0a6b3ef82a784324f7d68e84

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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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:29.980415Z digest=sha256:83d180c1a8a0bd905598b2095cb09c72fd3a07c8011ea580d6310fdb055932db

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:29.984458Z digest=sha256:3261b29faed192db8935a15699d0b21edc305a23bf962ed18a769cffcbf84621

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:29.988402Z digest=sha256:33533ef674f208406ed06b05cf83e7fa02fea6e41b261cb3cdc0c380268ab72a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:29.992565Z digest=sha256:076caae6f60e01f902bffd28828a586ecc8b808ad40629724ac545ea6efc3f60

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:29.996167Z digest=sha256:c567bd496b6713af9a444221424a094e347b9ef6a03d70958d4bbe552422c266

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.000502Z digest=sha256:ebc8869e69cb78ade0c126da9a0cdae4f9e8b1d060760ccae8cd0342c9d36bf8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.006033Z digest=sha256:96b431ad9b6cc2f031f06eb63d1fded4d1afcf0649f7d0991866837f442856f5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.012251Z digest=sha256:4553a05196d01172e01c9e00054f4e97d22d0ddd96614dfa501348be536bb81a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.017797Z digest=sha256:308394a232e006d4b9f516125f85180c3f814f7200405311eabc7ff0b6fa1335

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.030234Z digest=sha256:b6615bffda1e9172ff64b978aed77797f91b72e7e659af5d952a5e82a1c38c7d

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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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.044210Z digest=sha256:ac75af00e1a10a7bc31f9a31ad6cfcfe67d74dc41251b82c38422f29389f1f50

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.048141Z digest=sha256:067ad5b6e1da4a35a23197ac0799b5bb137cef61e0af597b35e62e38cb14b3d2

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.051946Z digest=sha256:2d995a8ad61f193334ad462414471929a4e52329b042137c259da897516b5bae

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.055827Z digest=sha256:7e72bc64ca2d2ae7b377935d474d07df1dc372b9a28001ed2b01b798efa18807

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.059735Z digest=sha256:03e1afbeba235f1915c7221944a7eba64bf027182855fdc3f1853c7dce322a59

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.064573Z digest=sha256:c69e1a840a4e7c3b7d9589c523ef79a10aed6e96859c5538d76bf203584aa629

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.068921Z digest=sha256:5482b476964699a184b51103b1f7e0a47ac2a6df99c68404d09d1f8b9c03ce41

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.072761Z digest=sha256:d07e7f9ce391f906af57edd012aea0435292621273a9d4b95356c43469ea3c04

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.076686Z digest=sha256:d7b95ff7d94305eb21669749ffb7bc6ffaf4cc1821733910d861225987150fe2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.081659Z digest=sha256:57dbdd14f5413727221cf817124d535243d9280203f244043e3972970103abdc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.085811Z digest=sha256:3795ffbb515d530e7e20b15e9fdb183453ab0a25363c3a8b5fb7c12140407406

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.090080Z digest=sha256:b8c1a7f43f822ece999c0e9c898ac6fe5c852adad980a82494eed2d96ead1efe

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.094053Z digest=sha256:86ad850f0183b6bdf27813132653c626d138f184b149944e3f2a025a4cba5abf

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.102097Z digest=sha256:b62ec6b19d5daec6552841c09b25eb4985534628c49692ed7596c2a52c0ba885

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.105405Z digest=sha256:88aa8469d9602a708490a50ec4ee65774272ea1e5f8900fa2f79e3530fde129b

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.119622Z digest=sha256:0c497dee6c507eabd47d3b14200bf84be425af0e1d182c5e53c0f859137fc5cd

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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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.123261Z digest=sha256:907ee68c2df8528f42edc86ae8ee5dd30d570cf3a6f29f905ddac78e54834e1e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T10:41:30.126672Z digest=sha256:61f6bf44d1c222ae956a09a01dbba9a6efbf0d8a7cd9c4a22fa397566e605e9b

Pith citing papers

No inbound Pith citation observations are available.