Pith. sign in

Paper Citation Record · LEDGER

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity

As of 19 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2505.07239.

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

pith.paper-citation-record.v1
2505.07239 v1

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:26:12.765744Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

100 of 100 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved71
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bda3bb5a-1431-49f6-9535-22cf7cd0ed35 · outbound

This paper cites Privformer: Privacy-preserving transformer with mpc,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Privformer: Privacy-preserving transformer with mpc,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.177577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.177577Z digest=sha256:049fad65ef21bfc7bd9fd5c4129792bcd40fb90ed9ceb233ef2cd7a10f8a8d6c

Observation 5df184eb-a1f0-44a5-ace7-d43dd320ffab · outbound

This paper cites The Falcon Series of Open Language Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity The Falcon Series of Open Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.183222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.183222Z digest=sha256:e48c0edec5a86fc1a1a2e410c0bbb4da8b7e265fb2f113a5a5d79c794408977a

Observation b715bd2a-4d56-497e-99d5-c47b74e75469 · outbound

This paper cites Exposure notification privacy-preserving analyt- ics (enpa) white paper,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Exposure notification privacy-preserving analyt- ics (enpa) white paper,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.188629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.188629Z digest=sha256:ee8635db0353eb49b9bf6787d484595696e095b1dc6109d358d321cc8add5fcb

Observation 2ea4811f-175d-4fe6-af9d-b9f48e8384a1 · outbound

This paper cites Oblivious linear group actions and applications,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Oblivious linear group actions and applications,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.194043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.194043Z digest=sha256:83596e4e0c1cb2cc7bb60f8fd05bf9d0bf17b7f134a6582a0c40b31c429a3fe4

Observation 82a0e523-cc98-4a5e-bc6d-9a693ea4ed02 · outbound

This paper cites Program Synthesis with Large Language Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Program Synthesis with Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.198991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.198991Z digest=sha256:3260cc57db7cb1e4e07c0d1bb7f5b65223c8efa16b1fd48e70b7a8c9367bdf4a

Observation 5f504bc4-f179-45f8-8271-bc75b2d4fe91 · outbound

This paper cites Qwen Technical Report.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Qwen Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.204238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.204238Z digest=sha256:d8c3d4f228fdf5af9a240a2c760d8656bfef4a63714c177a53eb8d03888b651a

Observation 84243711-09e5-4603-81c3-110b0b488953 · outbound

This paper cites Efficient multiparty protocols using circuit randomiza- tion,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Efficient multiparty protocols using circuit randomiza- tion,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.211764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.211764Z digest=sha256:81e2efebb621fc93d4f8a0126b173155fad304ab6f81bb84d88a828b01d8f4c5

Observation 63505871-2d6e-408c-bd52-b5faa9dae711 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.217292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.217292Z digest=sha256:766bf6993990336aabaffb5c620ccbdea5acd99f0d8a1c1d0049b4b325b6caa3

Observation 55ade27f-2d91-4e85-b75a-a5da76d869d3 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Piqa: Reasoning about physical commonsense in natural language,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.224609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.224609Z digest=sha256:4f3b75ca487110024c7741601290d5ee97c459cf41366bf72785e976b05cf352

Observation a1689214-aee0-44aa-9ede-cadaae30f2af · outbound

This paper cites Sparsity and privacy in secret sharing: A fundamental trade-off,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Sparsity and privacy in secret sharing: A fundamental trade-off,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.229824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.229824Z digest=sha256:a6dbfbbc3d83c5b541b005f62e31647017bae2f4d5d8e24622cd6d1e9727255e

Observation 5be7c319-24c8-477a-99cf-6acfea6de2aa · outbound

This paper cites Safeguarding cryptographic keys,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Safeguarding cryptographic keys,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.234541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.234541Z digest=sha256:921fc86bacf8fc9ae7a90766cad47cfd5d02dc1d75610b751eb1a90c9fa43618

Observation 4d01c23f-6d9f-4cd9-98de-ceab8b28e9ee · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity On the Opportunities and Risks of Foundation Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.239236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.239236Z digest=sha256:58f8fef2e785fa5e54f9e34d6dd2a881247da41817c2ead90dfe034f3238358e

Observation 6389bf30-1d7d-4cb0-933b-b8359902ea53 · outbound

This paper cites Language models are few-shot learners,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Language models are few-shot learners,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.244994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.244994Z digest=sha256:8fcd7557b5c3a033d408a09b12066991c35952e501172dfaaab1885fdda89cc0

Observation 0090b4d4-1717-41ff-8223-ce60625c02bf · outbound

This paper cites Flash: fast and ro- bust framework for privacy-preserving machine learning,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Flash: fast and ro- bust framework for privacy-preserving machine learning,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.252471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.252471Z digest=sha256:4ca3b4f1a74a0d0ae74ecb93d948ea46015cbe3f013ee509b509caa745b3663a

Observation 797c0f6a-1f1a-464e-84f0-5e4a2d85678e · outbound

This paper cites Universally composable security: A new paradigm for cryptographic protocols,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Universally composable security: A new paradigm for cryptographic protocols,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.257699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.257699Z digest=sha256:1acc44c462c3c7edf17c9ec6a177833f9857e36533446208fe4a0029aeda3b68

Observation fe3b3860-2c2d-4390-a97f-595d913ff38e · outbound

This paper cites Membership inference attacks from first principles,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Membership inference attacks from first principles,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.265949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.265949Z digest=sha256:5ffef9b978e3f859e0995de2b0ef9e88fc4c6b56546bcaa2378fd5b20331c013

Observation 305d025e-4b47-4743-bd57-36bbf9c02268 · outbound

This paper cites Data distributional properties drive emergent in-context learning in transformers,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Data distributional properties drive emergent in-context learning in transformers,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.271057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.271057Z digest=sha256:97de7a7202fad8bf0b1074890301d92d831ae32e3ba87c187d0b1902e293f71d

Observation ed79258c-2ede-4fde-b528-e954539d22b4 · outbound

This paper cites {SIMC}:{ML} inference secure against malicious clients at{Semi- Honest} cost,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity {SIMC}:{ML} inference secure against malicious clients at{Semi- Honest} cost,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.277196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.277196Z digest=sha256:279adc04332140cc072de7dbea678a254e7c7cc8d71406a7efaa05c971d0ea11

Observation 5de2a537-0637-4c19-93ea-786c1a4b420a · outbound

This paper cites Secret-shared shuffle,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Secret-shared shuffle,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.282093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.282093Z digest=sha256:ea94feaa7f45865586d2dc8873c388c813fb22725c9d021f8d2271fdcff06d96

Observation 01882546-abbb-4a65-86ed-e800b42e45f6 · outbound

This paper cites Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.287416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.287416Z digest=sha256:a1a8889fffde9faf0f622205ed726a846e8fa585d236d388b2cf4d809b04473b

Observation 885c23b5-2b39-4997-a8ad-0e3569d8d1c0 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Evaluating Large Language Models Trained on Code

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.292556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.292556Z digest=sha256:ce49ec75f70b319459e515feb25288f01df802cba66eb090bbdd4053bea68bcb

Observation 92750d29-ae7e-48ce-964f-346bdfaa00cf · outbound

This paper cites THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.297530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.297530Z digest=sha256:ade25d13199b24470a706e3b478cf2a924659a131f6d165eb84eb4e8bc7e728c

Observation d05c557c-7118-4643-b6e7-d8e9b3c9221f · outbound

This paper cites Securetlm: Private inference for transformer-based large model with mpc,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Securetlm: Private inference for transformer-based large model with mpc,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.302487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.302487Z digest=sha256:e2931b9726fab892628d3bafa013d52a5a07bc2ef981ba69e0745520110180af

Observation d97e4176-8fef-4111-acff-7d769731257e · outbound

This paper cites An efficient secure three-party sorting protocol with an honest majority,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity An efficient secure three-party sorting protocol with an honest majority,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.308704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.308704Z digest=sha256:98df2982130ae508ae5189b39246e991039c64a847c0d88db704828081b411e1

Observation 199e726b-a23f-4950-bfdb-6870a02ba29f · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.313526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.313526Z digest=sha256:bc90d176e316b3fb227f2cbf3d89b7ed0856f441af18e35435ca6ff3b93be454

Observation a3587771-7122-40e3-8e2f-ff1c85b79bfc · outbound

This paper cites Cramer, I.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Cramer, I

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.319219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.319219Z digest=sha256:cc4281d32f829e9afebdd5bb91e8300f605f062396f5736e7c8a7e56ab5c0ccf

Observation 3eb07f56-abcc-4b90-85ad-5f8317d42645 · outbound

This paper cites Exploiting data sparsity in secure cross-platform social recommendation,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Exploiting data sparsity in secure cross-platform social recommendation,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.324317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.324317Z digest=sha256:c0d5015d74e1924f04a417611746e0decdb804af35ec85285fc65953408a323b

Observation f4b8caaa-6502-4bca-801c-b030f456e456 · outbound

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

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Bert: Pre- training of deep bidirectional transformers for language understand- ing,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.329906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.329906Z digest=sha256:da5648b7e374f911d10075388188f9865e82b454cc8ab18322ab721d595305bb

Observation b9bceb4c-b998-44ae-a15d-060ec2078d2b · outbound

This paper cites torch.sparse.mm,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity torch.sparse.mm,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.335402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.335402Z digest=sha256:744e2e19084e8e9cb060da94a25389aaecca896e35da889d6a2aa388c7a52684

Observation 4f502ad2-b8ca-4d42-bb3b-1247d7ebdf5e · outbound

This paper cites Puma: Secure inference of llama- 7b in five minutes,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Puma: Secure inference of llama- 7b in five minutes,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.340105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.340105Z digest=sha256:8b72944a7057092fa268d3ebcd6f76f075a928ab645b01c56e0048b9f61aaf69

Observation 0f1a49be-8d32-43ea-b352-e23573c275ff · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.344930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.344930Z digest=sha256:2d37ba7f9146773744bb04399899b96b94879af951ca7cbf61bd1c60f3ac6cba

Observation ca10b54a-8f6f-4ed4-9a60-168a5dfa803d · outbound

This paper cites How to play any mental game, or a completeness theorem for protocols with honest majority,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity How to play any mental game, or a completeness theorem for protocols with honest majority,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.742482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.349885Z digest=sha256:b6b72b3490fad944f15134e21273ee5f79d83f18d10dd5f0ccc81a3a8a1d3625

Observation 55a6b728-3ff5-4ffe-b0cf-11cefd602f7d · outbound

This paper cites The Llama 3 Herd of Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity The Llama 3 Herd of Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.355777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.355777Z digest=sha256:7ed563c50a411a5daf2ad193c9b6fa39b064da41e27ddf654ef9333b48ff5e39

Observation 1c3c2bfd-a3af-4e15-89e1-04fcbee89cb2 · outbound

This paper cites Sigma: Secure gpt inference with function secret sharing,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Sigma: Secure gpt inference with function secret sharing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.707288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.363027Z digest=sha256:d62aebe5f5eb7c6e1e88f2b2483f1deaa1571b1dd9de7ffaac288f476ba155e9

Observation b9b50943-9aec-4680-a211-b8c87363f963 · outbound

This paper cites Iron: Private inference on transformers,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Iron: Private inference on transformers,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.678095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.368694Z digest=sha256:f6c3a24d56657f6c77b217fa005133aa634e5fe48a259a15bdc8ff2d74ebfbbe

Observation d35487b5-209f-419a-bf56-5237414a9801 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Measuring Massive Multitask Language Understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.373771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.373771Z digest=sha256:eba0f9f4b410852c6333c612f57649026ca2734393b48adf9b83c75da9e5605f

Observation 91957270-15e7-47f4-b0c7-1063129e6d10 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Gaussian Error Linear Units (GELUs)

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.378726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.378726Z digest=sha256:00704a6d09531294d3f72334e560fcafdd6b78df0036371e0296a0ce1baf8974

Observation c9b0353f-accb-4a18-a33b-4048dd211008 · outbound

This paper cites Ci- phergpt: Secure two-party gpt inference,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Ci- phergpt: Secure two-party gpt inference,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.656299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.383517Z digest=sha256:560582af563da5c4c61da56567d46d610d5e4d21d4dad8f325cf653bb0a6651a

Observation 88373792-ca2b-4056-98ba-a780a38068af · outbound

This paper cites Mixtral of Experts.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Mixtral of Experts

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.389323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.389323Z digest=sha256:ab0350a440949ab3468f76ca595607843b72a28a2b1a9a91c0da5541b927fd20

Observation 760dea99-e279-44d3-8513-d67cd9c38dcd · outbound

This paper cites Secure multi-party differential privacy,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Secure multi-party differential privacy,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.633695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.394292Z digest=sha256:4a388b6827b274271b073fd2ece2715666906ca946f5ba3ce077c6b1e794abf1

Observation 94e5f8c2-1d8b-4be3-a51e-5026df6f64ed · outbound

This paper cites Mascot: faster malicious arith- metic secure computation with oblivious transfer,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Mascot: faster malicious arith- metic secure computation with oblivious transfer,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.607970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.399245Z digest=sha256:083fc4ab56d953cc77c1963c18db320517c8b004aa15837fb428ffd681144f2c

Observation 3dce2520-0163-489e-827f-ac902e976602 · outbound

This paper cites Crypten: Secure multi-party computation meets machine learning,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Crypten: Secure multi-party computation meets machine learning,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.404436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.404436Z digest=sha256:32b2d2465655de53c38b2bc3f1e5c097a2fed68536ed3cb62337092ef089ea45

Observation c8f378a8-0510-4d17-b40d-3678acf77887 · outbound

This paper cites Cryptflow: Secure tensorflow inference,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Cryptflow: Secure tensorflow inference,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.560212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.412139Z digest=sha256:d787e30ef3e24160e7da38b71728649b979af6c615347bc419b1312c9ec3e60b

Observation 3f527b11-e8a9-4ee1-90af-7803f7f31bfd · outbound

This paper cites Round-efficient oblivious database manipulation,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Round-efficient oblivious database manipulation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.520371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.423849Z digest=sha256:91d742249f5074779f367a5fcaf76ef1521b4fb6209585bf842f54f8793cdf59

Observation 78bd86a8-a53f-4d50-b5c7-0c454a209eff · outbound

This paper cites Bloom: A 176b-parameter open-access multilingual language model,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Bloom: A 176b-parameter open-access multilingual language model,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.495558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.430695Z digest=sha256:73875113ae8d2ba4142f6d32f96774329f6a7abfc6e6ebc1a167c1c61ba63705

Observation c8a6ac55-2d6d-4c69-90cd-8a4a072de875 · outbound

This paper cites Muse: Secure inference resilient to malicious clients,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Muse: Secure inference resilient to malicious clients,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.464138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.436069Z digest=sha256:05b8e2396a2878ec14f65b15e2483f4d1ddb427ea3a157a1361ffbdeafdb50b0

Observation f9046b03-88b8-476c-be4e-58c5013145b2 · outbound

This paper cites MPCFormer: fast, performant and private Transformer inference with MPC.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity MPCFormer: fast, performant and private Transformer inference with MPC

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.440677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.440677Z digest=sha256:b7a5508b05be271ad0a05380d4a197ac71f3116af48d6ea0b382bda0f9e76734

Observation 72d66cc8-fd72-493e-bfc3-65de8d8e948b · outbound

This paper cites A Survey on Large Language Model Acceleration based on KV Cache Management.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity A Survey on Large Language Model Acceleration based on KV Cache Management

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.446038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.446038Z digest=sha256:c9dc531441c06e7b45293ce1e9cdd79a9f42d65f7f00c7a90542b258a0608819

Observation 57d0a035-a718-4b95-a462-8efa48ff9d5e · outbound

This paper cites StarCoder: may the source be with you!.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity StarCoder: may the source be with you!

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.451024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.451024Z digest=sha256:5d825750f49956cef38967c7aa328e72a9cebd2511041b0ea771d99f644fefa1

Observation 70aa8abd-5c16-4e45-a408-2535a4822c89 · outbound

This paper cites Privacy-preserving feature selection with secure multiparty computation,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Privacy-preserving feature selection with secure multiparty computation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.426182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.456418Z digest=sha256:d2c9a4f80321888e2fafdbd181b6ee0fcb8210f54eff6030dc91256b9f8321d1

Observation e493d1c7-ce9e-442b-908a-24480664ab9e · outbound

This paper cites Backdoor learning: A survey,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Backdoor learning: A survey,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.392326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.463252Z digest=sha256:a90c4d09a97506ad2de102d4a0f7b0b09522923614b1fde0a6e5fae7acd70693

Observation 1438d45b-527d-4d12-a0da-6bad59422f07 · outbound

This paper cites The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.468222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.468222Z digest=sha256:154de7ad9eb58333ea1e859d652954a69e8e13fb292d6062e81f8a6e7fda1aa8

Observation 805b589e-0e5e-4e7c-9142-466157ef57ed · outbound

This paper cites Holistic Evaluation of Language Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Holistic Evaluation of Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.477942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.477942Z digest=sha256:41c051fcaff172e6aa05eee0821fd0d9c59e8d2099005ed37d3ad979ee4fb34f

Observation 318f2d12-7f0c-42b1-92ee-9fdf711ef197 · outbound

This paper cites Merge: Fast private text generation,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Merge: Fast private text generation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.358274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.486680Z digest=sha256:cc99c2b770529037288c332295ece8cbed13bbf567f6ace7b2860ebe9e2e0d38

Observation 339cd7e6-9fe7-4ede-9913-e780d9992c90 · outbound

This paper cites How to simulate it–a tutorial on the simulation proof technique,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity How to simulate it–a tutorial on the simulation proof technique,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.491856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.491856Z digest=sha256:4ffc359a97d56682f91bcf282169a09514e7b805a315ac3c9849e135df4b288f

Observation e8fcc874-6fca-492c-990b-2bb75cb99c9c · outbound

This paper cites LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.500231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.500231Z digest=sha256:e47dd33c1d7e2e9138d3aab09e0791593eb0d6e69e1311cde29d054bd5dee355

Observation 24a1eac8-5598-49a3-a874-e5818e2ad6c0 · outbound

This paper cites Deja vu: Contextual sparsity for efficient llms at inference time,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Deja vu: Contextual sparsity for efficient llms at inference time,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.508090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.508090Z digest=sha256:421909baa12b44c3202bb74c4ef32bd76005b4dd7b6ef752919c741adec3d884

Observation 8ffa48f2-a2a0-464d-b859-02a2e8579872 · outbound

This paper cites Bumblebee: Secure two-party inference framework for large transformers,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Bumblebee: Secure two-party inference framework for large transformers,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.295060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.514625Z digest=sha256:2f44dda468cbf444e8ebd4382f4fa528c40e608120e62f8d26a283f042ce3918

Observation adf1f8dc-ff70-4165-9611-ef57fb10558c · outbound

This paper cites SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.521410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.521410Z digest=sha256:2be453800c984888a60b07d5c0a84fab484a7beaa7fc72ae17b754ee6ba6bac1

Observation ac823991-4f68-45dc-a010-f12c3c8d6b5b · outbound

This paper cites Accelerating relu for mpc-based private in- ference with a communication-efficient sign estimation,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Accelerating relu for mpc-based private in- ference with a communication-efficient sign estimation,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.271985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.527768Z digest=sha256:0cd3e8a5c9a56628ca45c69dc68dc5aa39609daf4b23ee384c207dc5232b7f4b

Observation cf1058de-f96f-4051-ad3f-e28f7a5b7b62 · outbound

This paper cites Pointer Sentinel Mixture Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Pointer Sentinel Mixture Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.533460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.533460Z digest=sha256:6ad8c839bc798a9c115b56bbcf90bf9ec18dc5b6b63d39169184139eced9a726

Observation 81e1656c-ca79-48f9-b5c5-d40fd508f883 · outbound

This paper cites ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.539608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.539608Z digest=sha256:b26fb9e092a6bd37e2998a8f31ae062fa16fc5298b3d15685b4c8ecb700fb5a4

Observation b55a3f87-fa44-4060-a2ac-a21d63f1a2ce · outbound

This paper cites Aby3: A mixed protocol framework for machine learning,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Aby3: A mixed protocol framework for machine learning,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.245438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.545211Z digest=sha256:7cfba607be766cfbbebf407361d9faa3b41b2af1cef8be35a76ab29adf8083f2

Observation 3b65dfa4-0ec5-426a-97f0-c5b0c23bb0f0 · outbound

This paper cites Secure multi-party shuffling,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Secure multi-party shuffling,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.225126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.550180Z digest=sha256:78039f6b7158b3e5b0a3eb46fe39a9ba0736caafa619155117fe4f34534cf868

Observation c2a90909-1626-4272-88c0-8835c3ede795 · outbound

This paper cites Powering secure computation, together,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Powering secure computation, together,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.180575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.556489Z digest=sha256:1e6b5fa184281f9210eb932598e72f630ee19820f6fb2a2e06a5ac0c6f88a6ff

Observation 4b882c6a-90fe-4217-8baf-9fcc93074261 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Rectified linear units improve restricted boltzmann machines,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.159872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.562667Z digest=sha256:e4081bf368146dcd15bb093ae436d6119383464e6eaa2d6642bb9a334d8540d8

Observation 2e6886c6-ac41-49c9-bb1e-8fa5ccd9bdf7 · outbound

This paper cites Public-key cryptosystems based on composite degree residuosity classes,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Public-key cryptosystems based on composite degree residuosity classes,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.136395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.568813Z digest=sha256:087871141b610332483f8f8c0e7b4ee9e8ce2e0bd1e3da4b61289476fb5c22bf

Observation 8f01b243-3dbc-4b93-9f5f-51898ce35e50 · outbound

This paper cites Bolt: Privacy-preserving, accurate and efficient inference for transformers,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Bolt: Privacy-preserving, accurate and efficient inference for transformers,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.109404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.574357Z digest=sha256:5f5cd4060caa20a9b0d0c31d8b8edeb266ffc5c44ffb6896632c3fe201ee59d0

Observation ae2fed8c-bcfe-403f-84ce-fa9063bccb5b · outbound

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

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.579762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.579762Z digest=sha256:861104028be7a6a8669c800360a471562835d430c954f71e2042d37f464f60b6

Observation 6e5cf4f3-ab32-4f9b-90a0-b985f16f52bc · outbound

This paper cites BLAZE: Blazing Fast Privacy-Preserving Machine Learning.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity BLAZE: Blazing Fast Privacy-Preserving Machine Learning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.585382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.585382Z digest=sha256:e46bc1ee5596ba4b468b2926d6847702652e46c74b28be2a131840ca8656f09e

Observation 8c60e80a-9933-4a1d-9032-2d54b9fbf098 · outbound

This paper cites Language models are unsupervised multitask learners,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Language models are unsupervised multitask learners,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.087860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.591539Z digest=sha256:12cced01d5d33b43c7cc50b2c136701b8d1159d751f14a32959a28dee61b95a9

Observation e3628258-348c-4d8c-98a2-1200ec2191f7 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.598673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.598673Z digest=sha256:e7f3eafc40a5a217dec3a62bc4f5acb3b85f6150a28e79b098fb51ff966dc43f

Observation 999bfb4c-e758-4ac5-9e82-6eff9e5d1392 · outbound

This paper cites Chameleon: A hybrid secure computation framework for machine learning applications,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Chameleon: A hybrid secure computation framework for machine learning applications,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.048495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.607002Z digest=sha256:e80331ed3990658471ce1ea4ba7a2dd5830cab9b5ab046e15dccb2225c8b44c0

Observation 63fa3a97-8eee-42fc-afb5-749bceb93c10 · outbound

This paper cites Choice of plausi- ble alternatives: An evaluation of commonsense causal reasoning.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Choice of plausi- ble alternatives: An evaluation of commonsense causal reasoning

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:14.027476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.614809Z digest=sha256:78c1fdf97940bde3b3525a71a47c42c5cfc0ba944ce30e619d3a1ada02fd943b

Observation b83f1d6c-4a19-42ec-99a5-fd37d6a2334e · outbound

This paper cites Make some room for the zeros: Data sparsity in secure distributed machine learning,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Make some room for the zeros: Data sparsity in secure distributed machine learning,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:13.993429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.619824Z digest=sha256:ea8f7befc16e4f193874e930f78838522fc5c9e94400f657547a919e216168e8

Observation abf2b4ed-f800-4132-8c98-0b8302f18feb · outbound

This paper cites How to share a secret,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity How to share a secret,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.625240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.625240Z digest=sha256:c5b3859364565edc1aa9babe12a4e48ad7f37094a2a286c45286bc121e0c593b

Observation b194ac11-6c81-42ce-9524-037f3f35097b · outbound

This paper cites GLU Variants Improve Transformer.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity GLU Variants Improve Transformer

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.630331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.630331Z digest=sha256:d45f1c887a74601ebe2927f24e2ab2d2322a5d2c3e044780f13147f81d2a4f7f

Observation af531568-c37e-4ab4-bf96-6c439889b5fd · outbound

This paper cites Deep learning inference service at microsoft,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Deep learning inference service at microsoft,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:13.947345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.636246Z digest=sha256:2576d40cd1ad0801e567da777b18190b39e11bdaae99a4f1cf5063b6fa7427b5

Observation bbd05dbd-3b62-4f6b-91a4-640997bc0d22 · outbound

This paper cites ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.641415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.641415Z digest=sha256:80d0fac5686a3a184afc5fe2ddff8868182298a4ac1e323635fe43433320e842

Observation 47e59546-45e0-4af0-b64c-bc218324b726 · outbound

This paper cites PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.648081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.648081Z digest=sha256:6a7060cf7ae580bf59d75018a6f29f95677808817851f94486ac86980b96d540

Observation fa4f7469-4135-4b47-ab58-ca49f2de1bb3 · outbound

This paper cites Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.653530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.653530Z digest=sha256:23e23aa0a04ae5f6edde4dae19fd424edeb46cd52f48bba5d83f7ab4b95a1aa8

Observation 1d37d2a7-7385-414b-8de4-df06b7b116da · outbound

This paper cites Cryptgpu: Fast privacy- preserving machine learning on the gpu,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Cryptgpu: Fast privacy- preserving machine learning on the gpu,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.660259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.660259Z digest=sha256:8d8dd824d7635b3e08e383ab5f0c178c686cbdb7afe3f87a40fb02c0b7e1594f

Observation 51fe104d-bb28-480e-9cb0-4a41bd974d39 · outbound

This paper cites Stanford alpaca: An instruction- following llama model,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Stanford alpaca: An instruction- following llama model,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.667927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.667927Z digest=sha256:c1e4708ee4edf782218ddb67f60b04ddc6f2f749f25ccf6dfc7e0279818a414d

Observation 4bc7963d-fce2-4738-ad29-7a08d68f4d5d · outbound

This paper cites Depth-first search and linear graph algorithms,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Depth-first search and linear graph algorithms,

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.673998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.673998Z digest=sha256:1d9c8798f558a84af9cc592a08d4c8672e37f3a5cb5c9ac7498e6bb7da517999

Observation d9894725-f265-44f7-88b9-c1703d6b0132 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Gemma: Open Models Based on Gemini Research and Technology

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.679111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.679111Z digest=sha256:72c51642cb9dc66d09f410394d059c5e2dd43c2c9084bb71e515986ed86b6a75

Observation fb738f9a-0e4e-452c-b9c0-14f4e785659e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.684457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.684457Z digest=sha256:6c97526882c3c95d6299ccc60f12673d22dd9ce438249aae840390c988def02d

Observation 3027eb4c-39d0-4683-a46f-a01908cd4c78 · outbound

This paper cites Attention is all you need,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Attention is all you need,

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.690252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.690252Z digest=sha256:e60bb370d77992e0f49a08d13ba339baa264295a36fe1c01cae70762300b6a7b

Observation 05a49203-ac74-45f1-9f80-ac1a498e98c4 · outbound

This paper cites Securenn: 3-party secure computation for neural network training,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Securenn: 3-party secure computation for neural network training,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:13.826235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.699624Z digest=sha256:a36dd92ca196d01e75de06e8e80eb7794e631b09221c6f8c5a421b4287867015

Observation 0836e579-ee30-404a-8d12-ca4c86185657 · outbound

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

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.705538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.705538Z digest=sha256:7f728371aeb41d11c8f53b74e0decbddeba7e15c222c218bc09a0f4b59666dfb

Observation 0bd96184-c2c6-47cf-ba13-71d3a6c0b30b · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.712808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.712808Z digest=sha256:e00813eb03640e87d8423ac6ea6c492c78a92a81da7ab9d7335b7bd06edc79e3

Observation 1e19ba29-fcf0-44d0-873c-87c3223b1c9a · outbound

This paper cites Q-Sparse: All Large Language Models can be Fully Sparsely-Activated.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.718219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.718219Z digest=sha256:8580056dd809808b11ed89b068d3b9e3b965ba8e52cce9ee1ace5a190faa38b4

Observation 0e2ff1c2-b0cb-457a-8334-24c32dc1a2eb · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.723245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.723245Z digest=sha256:df4db0f88dcce529cfbfbe26fccf4a8ec6e2f7b11a209e2d91a27e95df61c5d6

Observation 12452f72-deff-4b67-99ba-9cb5f56a4f7d · outbound

This paper cites Distilling Script Knowledge from Large Language Models for Constrained Language Planning.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Distilling Script Knowledge from Large Language Models for Constrained Language Planning

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.728191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.728191Z digest=sha256:28efae75379451a8b3cd62e9361b4040c6d5d1ff6601f3f01cf03e9227ec5190

Observation bb88d953-7e0f-4b82-82c5-7c1dfd2a3bca · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity OPT: Open Pre-trained Transformer Language Models

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.733413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.733413Z digest=sha256:b0e294b23b59cd18f6485c2603059ca4d2a8618e0a1c7846411f59cb5583f59e

Observation 9d62810d-b1e0-4157-b886-25d8419530a5 · outbound

This paper cites ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:12.738549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:12.738549Z digest=sha256:9044095546c5c7a3ad6a505eed35155510a827745d945f0064cea25cdd23375a

Observation 5027863d-7ab2-4df7-9be7-33d845f2c6b2 · outbound

This paper cites R-sparse: Rank-aware activation sparsity for efficient llm inference,.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity R-sparse: Rank-aware activation sparsity for efficient llm inference,

Reference 96

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T22:26:13.797840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.744691Z digest=sha256:30c7cb83eb9c07d4c4b8e02cf7efbc6ee4e64e2d652ad754712a5becc6261e4a

Observation fd313f48-e351-4b88-b97c-21ef5a08fb11 · outbound

This paper cites 0” are flipped to “1.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity 0” are flipped to “1

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:26:13.773616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.750016Z digest=sha256:2b138e4fb6bc9958712004099e894e46db073686f74e6d99b185f509e1bf854e

Observation bf153901-f8b0-49a0-bb03-b3322ad2a5a0 · outbound

This paper cites an unresolved cited work.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:26:13.727974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.755252Z digest=sha256:d418159ee7d7dcaf86e45db9cfe75e620a07b76080d29587a44a2a4a33294574

Observation 82a05db5-1b20-464e-992a-b2e5e72a186f · outbound

This paper cites an unresolved cited work.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:26:13.693429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.760590Z digest=sha256:bf9eeda659cab238f0f1c8faea9d1cf9782eccf6296d3b7ba6d421ecfe96db6a

Observation f692d4cc-0320-4c2f-a56f-883e49171df9 · outbound

This paper cites an unresolved cited work.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:26:13.659408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:26:12.765744Z digest=sha256:dc1b754b62f32dbbf9b933e76cca4e45f6bf6545372e31b1f2ad2c79c05972ff

Pith citing papers

No inbound Pith citation observations are available.