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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

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

100 of 100 outbound references displayed

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  • verified fuzzy28
  • unresolved71
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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.383517Z digest=sha256:10437f3e2fc034cd0f04e46ce7c3ee4a58ba03e577591c3ea50a4dea204b4511

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.394292Z digest=sha256:9441087a4ff5a41bb06a09f7d2bf095c1ff881feb98451f7de5bf49efbe48c04

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.399245Z digest=sha256:54967cb295431ec4bc748d6b17e0d5a93f3e83fa15e47c0f6f769780a319e5e4

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.412139Z digest=sha256:a54ef958716c06bfd46187fec753d69959dbf32d1eccff1ac78d817b1704f8ec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.423849Z digest=sha256:43cf1dcaaa63e3084c8db7bb3f8328abb836368f211678140f80aaf7e7f6d6db

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.430695Z digest=sha256:bcc33f3b40f9cced617569b49d8613b9f6e97f409355326518998ba0462c38c2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.436069Z digest=sha256:103aeda5430e2900702f8d00dc4913cbe327dfb052f4033d0f128ceed0ec7eb8

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.456418Z digest=sha256:8fbebd9c856b084c2df5aca32dedd78c92aeed3d13d26858c3b90bd0be045c13

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.463252Z digest=sha256:7fd101496a0ec65f0d9de52c7c9709b6d7a82cdc795724d95056b9d3ff7bf85e

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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.486680Z digest=sha256:177e71b850e091038bdf77e166355a467d3b476dc2afb89f38d614e1e54c1404

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
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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

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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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.514625Z digest=sha256:d8b0d2837c3aa54e9690372316c7fdbb4a8712e9bf8d93b511917c363b4f7e09

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.527768Z digest=sha256:88a57c7f50a37ec87128f6eebbe9844a603c223d3745e947a6f443997a186fdc

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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.545211Z digest=sha256:b98a28816e347ac0032e2a5c6fbc09a966fc887e84688216dc7b3a211998c478

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.550180Z digest=sha256:be6ca71200a0febd639214071f3e046714c4bcf4d8d707f3555e0f31e43714b2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.556489Z digest=sha256:e155d38c15a5d178cf855b7f45fde2a9dd9157e27b4e3f8563bfa809c44fe760

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.562667Z digest=sha256:644e197474c42b9014c9d2cd0f47bb66b3fc4260abaa6c4a7ae0bbb87ffab10e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.568813Z digest=sha256:bdb3e8023595e87a0363cbef11d474127f740e07113f6f9d9aa2774895171dc1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.574357Z digest=sha256:3c260dacc8d9e6347fc935183dbc12ef1f750304abba2d6414e5bf45cbdfad88

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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.591539Z digest=sha256:fd7d6443d7fc2ae799771d11b0b151659534c8e47cec139db90ab478defbd782

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.607002Z digest=sha256:79f9979ec8ae868a302464036d0745ef7a0785bc07661022c0c0629dbb570992

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.619824Z digest=sha256:28671fa1af0d20d3a639708d14369463f8a2bab33a0984eb6a5400fe4ac3d866

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

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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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.636246Z digest=sha256:06ecee0c8ad8a5e73de5140fbe9a208110301f52c5db408eda40794641ca3f35

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

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Source-reported events for the cited work

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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

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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

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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

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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

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

Source-reported events for the cited work

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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

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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

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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

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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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.699624Z digest=sha256:f75f345e9d0261752c2424aa9a10adfdd7a20119dc9d1d761f0799b9cc9a1477

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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-15T22:26:12.728191Z digest=sha256:6cef7d1ec7fbe7c1a12b0e318caf6ddc0bca2bc2fcbed7765f4ebdbc4c66eb15

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

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.744691Z digest=sha256:032558c1a451206068f5935798c4a0a4446b45efa74859902faa7a9bdb470021

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.750016Z digest=sha256:0e1820f0284a924d505c4ef69ae52c3d45ce71fbcfe74a0fab3f05829ee52534

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.755252Z digest=sha256:15877acf094625b5412d75af398f81a4408c5435968c6ce9890ed98e7443ab95

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.760590Z digest=sha256:ebf3530e8353ef53bc9a3b1c3621b536abf57c0f94aed2327b21dd68ce16b2d9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:26:12.765744Z digest=sha256:c73c087598d0934565c94c12f156bed5a72b9a3942ce91e4454e4c7b819d328b

Pith citing papers

No inbound Pith citation observations are available.