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Paper Citation Record · LEDGER

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading

As of 13 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 1 inbound Pith citation observation for arXiv:2604.17476.

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

pith.paper-citation-record.v1
2604.17476 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T06:20:18.479234Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-05T17:21:17.930116Z

Reference resolution

100 of 300 outbound references displayed

  • verified exact15
  • verified fuzzy60
  • unresolved19
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17a461c8-9630-4508-a829-ec7230919fbb · outbound

This paper cites 2016 , publisher=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2016 , publisher=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.142495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:18654c872df752afcadbf156851a12a2237ac370c4f156223abc99838535fd1c

Observation a8350547-71ee-4a17-9ef6-f23f6f98598b · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.134205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:bb20e6c274b12439afa583216b7f31bc969ae903871ca9b4a1ded0014ce0d80f

Observation eee03ffd-4db8-4fca-8a3d-cefb5e3d31e8 · outbound

This paper cites 2025 , eprint=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2025 , eprint=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.132070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:9dd103e1e7c4cbc8389f93debe185022d8f6d544bc605930e273fbd708332a01

Observation 14f33fb5-d1bd-4534-aca6-d910006c867d · outbound

This paper cites ACM Trans.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading ACM Trans

Reference 4

Resolution
verified exact
doi, observed 2026-05-10T06:21:26.149447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:a3bfebf857faa582d9f6dc849c0ebed80b71e2ffc991c8bc7e610b4974fc0ffe

Observation 5ef6668d-80a5-4ccc-9038-bd822b3fcbae · outbound

This paper cites Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater , DOI=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater , DOI=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.144873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:613de812624613a63e5968a38c027343c7fe50d0ca5fb083e621cbb531eac1d9

Observation 616221e5-2f82-4fc8-9770-0830e77537d9 · outbound

This paper cites CrypTen: Secure Multi-Party Computation Meets Machine Learning , volume =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading CrypTen: Secure Multi-Party Computation Meets Machine Learning , volume =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.130077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f272ca44398f2e9dc7568210cc9121e592a8766924a1d9cc92eb048dd0032808

Observation 92965103-29e5-4df6-9267-ade36dadbaf1 · outbound

This paper cites 31st USENIX Security Symposium (USENIX Security 22) , year =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 31st USENIX Security Symposium (USENIX Security 22) , year =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.136201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:ecf0fe4e4b0d54d48aa1e1f2c434150b573135821beb8e3eebf9b161539ea48a

Observation cabf930c-d9b6-4d79-99c5-0f7c5b44a690 · outbound

This paper cites Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures , DOI=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures , DOI=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.153167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:c468b6f9f5eb0fa382cd7c7a28693519196b7ddbe15993fd30f3650a5748c71e

Observation d3f72c73-0a6c-401f-9aa8-a113951bf17c · outbound

This paper cites ACCURATE LOW-DEGREE POLYNOMIAL APPROXIMATION OF NON-POLYNOMIAL OPERATORS FOR FAST PRIVATE INFERENCE IN HOMOMORPHIC ENCRYPTION , volume =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading ACCURATE LOW-DEGREE POLYNOMIAL APPROXIMATION OF NON-POLYNOMIAL OPERATORS FOR FAST PRIVATE INFERENCE IN HOMOMORPHIC ENCRYPTION , volume =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.150712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:097545f7711b501827f6957ea07af9a1f1703ab5dfb9ab38ea0e06d97e617208

Observation 8cbebc0b-a421-4b4f-9fab-f5da89f54c65 · outbound

This paper cites Edward Suh and Tushar Krishna , title =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Edward Suh and Tushar Krishna , title =

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.146959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:58e2c82c4397b4caa981ad3c05bdb817a00fe92c4e40ac7f59375f48fa95ba00

Observation 98905c5f-c24b-453f-8873-51cbe571f30a · outbound

This paper cites 2007 , publisher=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2007 , publisher=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.717374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f64413f6524a2fc9866364b37fe747f13f309398fa8812b5862e87364b01c87e

Observation 67cd86c6-53fa-404a-bcc5-50c6e00e4c2e · outbound

This paper cites How to share a secret.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading How to share a secret

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.263784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:4eddde7f21691ac366a09ed2cef3bce09a0078e2137c4a802c00a12426c913e9

Observation 5d60113f-2766-49fd-9e90-1ead83d10b19 · outbound

This paper cites doi: 10.1007/11681878_14.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading doi: 10.1007/11681878_14

Reference 13

Resolution
metadata mismatch
doi, observed 2026-05-10T06:21:26.277322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:523d7e45a43e7b4c80e46bcd79539ec42fdc18aec83709e77b8d3e52097390f7

Observation e0d032f0-cfa0-4822-8503-ae1662437781 · outbound

This paper cites 2021 , eprint=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2021 , eprint=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.683707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:d5cbc5b26a6d7df886c3f0e218aa6344f2846606a76773954ad0eaa197f4aa32

Observation 04cf99aa-a6ab-4f20-90d3-41bda6e2309a · outbound

This paper cites ASIACRYPT: 23rd international conference on the theory and applications of cryptology and information security , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading ASIACRYPT: 23rd international conference on the theory and applications of cryptology and information security , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.563893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f9520b4aa92d4b4408c76e22c7081172283eb9fac9e6e6dbc3ee010f143515d1

Observation e8fe7771-5f7b-4cea-8386-9b0d040ac273 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:05:24.520176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:32982ddf5c53d48fa9f4358f85c461f816e7a73fa18a4494bd71bf7c94e6d35f

Observation 3b57a3cf-e664-45c5-b7df-9cffb28611ad · outbound

This paper cites 2021 , eprint=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2021 , eprint=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.658146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:2633cf5218bf8557741d55fabb8ab5fe76ce4ac8596499e561e5447f217fc879

Observation 59f3b03a-1f6a-4cb2-b8d9-fad5521bc3f9 · outbound

This paper cites Lattice Signatures without Trapdoors.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Lattice Signatures without Trapdoors

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.666382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:c22cdb1bcf1ee81b6157c6ff68e5ca3837606b9ff6f7aea39702345731d1d049

Observation d44209cd-aaae-4868-a9c6-8796dff5994c · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.245307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:77e3f18a54aecd22f4587e65d99dd6b7f626b6f537230c3c2139ac4ce0c36bfe

Observation f4b0cccf-8969-47ea-b46e-d29092df4a48 · outbound

This paper cites 2017 , publisher=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2017 , publisher=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.247163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:820379332a89a0b343734a1a93aa80a48159cddd49f952ca3d31768c962ea367

Observation fffb4006-f025-4233-a74b-8d6b5334ce12 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.249158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:d754d2c47858959edfcec06513aea490e39a5ac5dbf2d8fb0640e5bcf37e4ae4

Observation 37410766-5eee-43b2-a951-f42fd8d333e2 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.241368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:4cc46a11f26494e00c4bcde1fdd4ca4459eb0e3304e678e43f04167978fce120

Observation c1bb7876-547a-4ec3-a3c2-2517b71d64fb · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.233794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:76dee392c3da236fe263e80f0c380988b96328df4a0b0a9999269a22631b944f

Observation 37e3d33f-573d-4982-a6e4-e793fff04fda · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.243156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:4ec70047499046d22513cfd7906da2d5223002e37228960ec915e9c98170095d

Observation d8463f55-0cae-4080-866e-7496e3e7f448 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.272086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:086bb2fa0076e73eb5923ce799dc1d173f39c02b1a0b81151d6dd4e97d967a1a

Observation 330ebf42-c649-4648-b431-c45ec277a8b0 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.239157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:91e4255b6204da566bf63b5ac7a66ccd87e092d631a377059cac09316aa9fa47

Observation 00d47e38-080b-4026-860a-4a3126911d55 · outbound

This paper cites Proceedings of the Neural Information Processing Systems (NIPS) , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Proceedings of the Neural Information Processing Systems (NIPS) , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.253978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:42f8c38e48e9c76dcd49a95073722f4bd58bd6503a9f66d51bfa126a107e1943

Observation 7d20001f-0fe6-4b4e-aa5b-ac6587a0761a · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.205078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:2840d63a8b7119e80077fb4d408375af01cb855973abc3bae779eca21ebd0762

Observation dfbdd529-4e25-4a12-8eae-5cf85c22a018 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.197600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:3761d614f5e5fe1484e7dcc768669b67211ad94245a9f4502a4ae7692738d4e5

Observation 176053bc-549d-4657-af7a-d0269a4be888 · outbound

This paper cites Proceedings of the International Conference on Computer Vision , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Proceedings of the International Conference on Computer Vision , year=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.203085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:e17a6bd85787771cd10e1d2d731958842ce89cde464525a02a8ac8caecb7514a

Observation a47812e0-45d3-422c-812c-0133d9c44a7b · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.181407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:49ba2cce2dde10519586bdb2b95ecb9dd11aa22794bfed30e857b94c063778bb

Observation f722d7cc-6e10-41a1-9c08-864cde640b34 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Deep Residual Learning for Image Recognition

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:02:34.163591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:c3f90fef49bd560c4650197f6328713c3935f5ccc1693602557512c621819dbb

Observation 0d97812e-4ffa-444a-93c3-ae72bbfe83f3 · outbound

This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Once-for-All: Train One Network and Specialize it for Efficient Deployment

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.881574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:1d94c0002c42daa9a0e6138a11ada6e800a5d0881b0948c08e5a56f6ac4a0900

Observation 4decb8a6-b017-40c7-917f-bb464b5c7864 · outbound

This paper cites Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.865187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:1ac6678425db0650c3cb9547bfb2980376b6353f3b0f0cf300c17b92dddab329

Observation d96ec9a4-8d88-46fa-99c8-cd6398b96325 · outbound

This paper cites and Tumeo, Antonino , booktitle=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading and Tumeo, Antonino , booktitle=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.173585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:237e80a91df926fdb3dfec50695ce7a6659ee62ac8fae893037e102058155c53

Observation 9215b861-6f5d-4840-95de-ca6f478d97f2 · outbound

This paper cites Agile SoC Development with Open ESP.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Agile SoC Development with Open ESP

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.872519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:de74cfbad009db96f79f06134d270d2fb5f15d4415a26f415f4a6d3914c543c3

Observation a2413345-bc6f-45f4-b62c-120c1f0038c1 · outbound

This paper cites Rethinking the Inception Architecture for Computer Vision.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Rethinking the Inception Architecture for Computer Vision

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.884116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:895667ffc177291d1c0985ce12265d446d4f5d09d1809b9fb24ee4039a9c8896

Observation 9d505913-5dbc-4596-b43f-70b91192f17b · outbound

This paper cites SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training , year=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.199471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:2832589fecca65e3b75b6803c67d8ffb1ae5b6396e7ffbfbd894ea47cac74675

Observation 6c1c10f6-dc11-4ba8-9d53-d0db0f304bb2 · outbound

This paper cites Proceedings of the 44th annual international symposium on computer architecture , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Proceedings of the 44th annual international symposium on computer architecture , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.712084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:7bff9fd0a6c302f4278772e94f7cd9b46daa58817af7639475ac2a6a62df155f

Observation 51f47917-ebe9-4a5e-b355-756a3aa60197 · outbound

This paper cites 2021 International Conference on Field-Programmable Technology (ICFPT) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2021 International Conference on Field-Programmable Technology (ICFPT) , pages=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.193204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:912905eb5df0958b2160c9d8a3e59b882ff84bd8394b87a0b52e33fc905b17dd

Observation f5eac0ae-15a6-42d9-b9b9-5db2199d964b · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:05:24.548570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:1d6a6c6bc14bbd1c42364838171ff7e07453d27ede4ffec2ec11531480b59115

Observation a50b8e91-32d7-4266-82e6-7faf937ad20d · outbound

This paper cites 2017 , eprint=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2017 , eprint=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.679890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:e03f2b8e1a68e52bd56018f4a97d4ab04bb6aff5befe37b0246227c31732a843

Observation e4069972-f680-40d5-bf80-06a742301944 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.190988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:61096d1640dcbc2340bf8ff0e1bc6d366f10e5698df5bc913778f445009ca07c

Observation 1edc2fef-0305-475e-b35d-e038bae3868a · outbound

This paper cites A Document Preparation System.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading A Document Preparation System

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.195382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:9c18c8151f7554f06e86a07478a1aa1c67f13cfa80b46bbb54f97222079fc734

Observation c2cb0dc0-ac60-4c1b-825c-e7ffa89fa027 · outbound

This paper cites A Very Nice Paper To Cite.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading A Very Nice Paper To Cite

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.201459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f1d7a6942cbe3b36579b775ff49a66d642aa7adc9bfeec1f8f0337f14aff0bb0

Observation 8bddaffe-959a-4e2d-aac2-f36c51c2fe78 · outbound

This paper cites Another Very Nice Paper to Cite.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Another Very Nice Paper to Cite

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.203669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:0520b11f6fdc52f6c2479811a0592c420a4ac548aad5f454b4346559759196e1

Observation 8727399e-64c8-494c-acd6-1abf4a853900 · outbound

This paper cites Yet Another Very Nice Paper To Cite, With Many Author Names All Spelled Out.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Yet Another Very Nice Paper To Cite, With Many Author Names All Spelled Out

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.219287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:8598b88de37e3867d9b5650c9cf74ab36783f310c5f30a403c7137c1b968600a

Observation 17af4044-0c1b-402b-af01-74f768d62d17 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Advances in Neural Information Processing Systems , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.256553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:719e3c279a493c90e4c067a49780805feded76543c2096591e598ae6ebc791fc

Observation 42291013-5f66-42ba-a22e-704a4919b33f · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.601467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:e51626b00474c9c111742707578b62a87aad59dce565f8e237159c425be52641

Observation f77a51bf-eac9-4202-8b56-059e9078fb0b · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading IEEE Transactions on Neural Networks and Learning Systems , year=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.669505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:c552102cb6748939a2c54b01d60dbd660924883a79c5d09134de276f22a5f3de

Observation 5a2405a0-d3cf-4e54-a32e-e8bcdf7a4828 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.546332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:2a305a2f957ff227a410d838d026dda0e4d14ead4e745560e86d40951ac9aadc

Observation 015ebf18-59bd-4db2-9f5b-7cb94c0aadd8 · outbound

This paper cites and Rubin, Aviel D.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading and Rubin, Aviel D

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.178326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:65e35c35ac0c827818a23801a9f68bb5c3e605a0ed39568d6a4a93c6430048ca

Observation 14b5bb1c-cb7e-49d4-9f80-fad4c506f26a · outbound

This paper cites Fletcher.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Fletcher

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.154029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:91c8934fffd3ab657a05dfe1e41bc8c5606fe4c85d64976a0fb04a4c5b68fa9c

Observation 59307e41-0dfc-4a28-b248-7a39b7d73bf9 · outbound

This paper cites and Dally, William J.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading and Dally, William J

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.166662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:8998df0d37e4812d1871eff8e5e448116d6af9700cd39dc92b50180f44ab5198

Observation 44aadfab-7881-4367-81d7-664a46146640 · outbound

This paper cites 2022 , eprint=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2022 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.175472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:43a1f0aa0e0ae61f76352cad697d0af4969a57d4c75dc202fe9a29b9ae247b6f

Observation ea8be3b4-cdf0-4699-afe4-582a20df646e · outbound

This paper cites DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.169726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:6a9045e63b94c993df0549a460c4e0eb8bdaa20cc4799ef72eb88673133b8dcb

Observation 98e728e4-c849-47fe-b7d8-709fc707315a · outbound

This paper cites MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores , year=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.608913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:846a5528ea84d35b38ff8dc43d0db2a43785c3ed8e3b5ab33c8e4da9576d72ba

Observation 9e209971-eb71-424b-8731-0e34ba8a1c23 · outbound

This paper cites Marvel: A data-centric approach for mapping deep learning operators on spatial accelerators.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Marvel: A data-centric approach for mapping deep learning operators on spatial accelerators

Reference 58

Resolution
verified exact
doi, observed 2026-05-10T06:21:26.156066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:171123c18b0e7331333b9f57d8d03f0f7ff7e4f534a06581d23a4ff7e8cc0793

Observation bc941eb5-8989-402a-875c-1e7f00c1fb44 · outbound

This paper cites Communications of the ACM , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Communications of the ACM , year=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.736134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:50be7dbc42fb5e06cdcdcb0bf831ad2b95f374b8cb3475d1db94986faa2b37c7

Observation 9d7cfa99-90a0-40a4-9b9e-865fa670ea8c · outbound

This paper cites and Sze, Vivienne , journal=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading and Sze, Vivienne , journal=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.167613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:8f6b82ded1501496472765be398896294fa4deb927be3f46c1522455a8b99ce3

Observation cf57d84a-a121-4a40-8ed9-ad364f658e03 · outbound

This paper cites MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings , year=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.171654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:622ba22714a393b7aa40602f41215e9115ce4fb202fcddd4154ad342088d8909

Observation 16ab76da-25b3-42b9-abc8-b4d9e843691f · outbound

This paper cites AI and ML Accelerator Survey and Trends.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading AI and ML Accelerator Survey and Trends

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.181069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:68e31a297730be51160de3c2c4cca7f2bfbcaf1c6e33451f69cace7bcf915219

Observation ad8c45e5-7cee-4637-a4ca-817a201ea17b · outbound

This paper cites Deep Residual Learning for Image Recognition.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Deep Residual Learning for Image Recognition

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:02:34.163591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:0f08ab23f1a6a96330da1d35d3ddd10e3a212aa112a8dc7b4744f94be2cc6fd2

Observation f4df7b80-ff1a-47a7-b397-f7523dd42933 · outbound

This paper cites and Adam, Hartwig , title =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading and Adam, Hartwig , title =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.177660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:4a9986379519fa0caf26f46476f15c6eeb97e6b332f3d6a5f2eca584e327c338

Observation e0f8c399-abe4-4e9d-856a-5321c6d6a0fc · outbound

This paper cites Langley , title =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Langley , title =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.143422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:6ee0aed9c9f82c43286f2bcadada1aeec072156f6c9f967ae9ed532652152d45

Observation d8bedf0f-a0cc-45d5-9228-85cf39ccb685 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:05:24.722695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f3e77247eaa600d66fd55fe1175836810c01cdc331a80d34f7c7b19eff0ac176

Observation 41736980-57b3-421c-bd26-3bbd407a6a71 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 67

Resolution
parse uncertain
raw_fallback, observed 2026-05-21T17:05:24.632122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:453ebf5721821d4f3bb0966aed4045aeb4b0e73454c9ae9809f59520d76b8bae

Observation edd0677d-af02-4d04-bcff-29bd39b09503 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.148843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f313d3fa2fb756be7588aeac521febc76ae6e2e6819f98b909c49fcd03efbe5e

Observation 608a94ba-1812-4f24-a08c-340cfb7c8f10 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.138279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:c8d1323d43a4a97bb4614f238e5a9f466329d5eb64fdc4c008eb9b2cb1d8cd66

Observation 9bbe3f55-731c-4615-9890-3c57a5ce828b · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.140521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:5e9b5a8c4388aa68c0814c7dcc10fc3de1de63f2225835fdae9c58d38ce48512

Observation f3845de0-c5ad-4c1e-a98c-f0be223a6cad · outbound

This paper cites Newell and P.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Newell and P

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.185171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:019477cead542b2927a78691077c9834d21c0a7748faa72212a9968317d1733a

Observation 9a7c94b9-bbba-486e-b061-a2d0ed1ecf32 · outbound

This paper cites an unresolved cited work.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:04:17.296028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:8633f15e08f10cc4fc5d5f58d1a5b3e7bc0a56a28bee5230b94e5179d99d033a

Observation 0715be7b-2ca9-48c9-9c25-9b084c998ab2 · outbound

This paper cites IEEE journal of solid-state circuits , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading IEEE journal of solid-state circuits , volume=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.157228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:cbe9dd7ae3ff9eebd85ba972797f3c15dbc95938f54ac8beddcd1951107c0e72

Observation c6c32b96-1714-4d20-958d-6756fdf7368e · outbound

This paper cites 2019 56th ACM/IEEE Design Automation Conference (DAC) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2019 56th ACM/IEEE Design Automation Conference (DAC) , pages=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.291379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:4e46d218834d11a53cfae9ccc30a115b4ad59e42ec0b330e2930b346847b0d1b

Observation 87c623e0-333d-4ed7-ba7b-554d1518c0ed · outbound

This paper cites 2019 29th International Conference on Field Programmable Logic and Applications (FPL) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2019 29th International Conference on Field Programmable Logic and Applications (FPL) , pages=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.293563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:54140281fe04afb824c275d9f5e066aec0d55f6edbc1e1b65fd953e9222176a2

Observation 983e4a90-46fd-4c2b-a8aa-c9a92f63b590 · outbound

This paper cites 2022 , eprint=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2022 , eprint=

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.179542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:c90eecedadb1322be68e831bb25ed5b8343d799d6e4678a7c18bc9e6c58c9029

Observation fd0979aa-bba2-429c-93ab-6d68dfb7ea40 · outbound

This paper cites IEEE Embedded Systems Letters , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading IEEE Embedded Systems Letters , volume=

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.223344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:89aa9c55c7d14d6c9c6460dac713a1a7ac50a93f3cec8fdf09c3cb80de58f007

Observation cb59fa69-370c-4725-b30a-d9a1ff81bc5c · outbound

This paper cites 2018 IEEE International Symposium on Workload Characterization (IISWC) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2018 IEEE International Symposium on Workload Characterization (IISWC) , pages=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.598449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:d9f0f1f77c5406d35dc4a16607647c4ccc45f06bfe81767724572faf27166413

Observation f2e2a97c-6a0a-41fe-a829-bae645295e92 · outbound

This paper cites Benchmarking TPU, GPU, and CPU Platforms for Deep Learning.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Benchmarking TPU, GPU, and CPU Platforms for Deep Learning

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.886374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:976a42090cc6a63c000ace7dfa2e340252b70431fc2bed0c05bfcd19700a08c4

Observation deb81fd8-8922-4c70-aef9-ccbd21993749 · outbound

This paper cites Communication Bounds for Convolutional Neural Networks.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Communication Bounds for Convolutional Neural Networks

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.898697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:b8b094bfeef6eca359719714b661fe1c95d98bd2191d36b26b60b3e4c0e31c81

Observation a1a0b97f-f3a4-490d-9d28-19c8053e8a4c · outbound

This paper cites IEEE Micro , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading IEEE Micro , volume=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.283247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:16afa05949ee3c0d9dd692d6384b2165f1922a5b41b9eea1d6d5418c5a7e6e5b

Observation 4c7c8a08-d105-49d2-a873-c079afba2870 · outbound

This paper cites ACM SIGARCH Computer Architecture News , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading ACM SIGARCH Computer Architecture News , volume=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.566740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:84d6426c9c6a665abaa73f8d0075b1ee15255908a8e41b5b7140c09ffa1504e2

Observation 82963018-d8f2-4dc4-ad3a-bb122ff96533 · outbound

This paper cites 2018 IEEE Symposium on VLSI Circuits , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2018 IEEE Symposium on VLSI Circuits , pages=

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.535106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:ac4cc43d1758291170376f90476610bf9050b0906fad41ac35061ee8a16976c2

Observation b1ba4096-46d8-4ad8-a0bc-9761469408f9 · outbound

This paper cites 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) , pages=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.522588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:49814e63c32588cf3904f04b8f010e092f79a4fab0500736eabe02a3ab87c796

Observation 37aca407-5af2-47c2-a098-1edeeef66a10 · outbound

This paper cites Yadwadkar and Christos Kozyrakis , title =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Yadwadkar and Christos Kozyrakis , title =

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.298360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:2caa9103fc9c9be21d5b801b0fe5de82d7f2b195505f975a45f5c4db420c5db5

Observation 8820de72-85ef-4acf-bb4f-597443f4eab4 · outbound

This paper cites Static detection of control-flow-related vulnerabilities using graph embedding.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Static detection of control-flow-related vulnerabilities using graph embedding

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:21:26.254267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:235a6d5728fe773e4cbc855d799580f791bcfd99ecccc041195d13bd2ae26425

Observation 896f68c8-de83-47d2-ae11-04afe520b6ae · outbound

This paper cites Gibbons and Onur Mutlu , title =.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Gibbons and Onur Mutlu , title =

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.730313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:53a15a301cb487f64e095b03a2d70fd6cc3879b02aad04b69b2b5dd1061856c4

Observation 07a0a27e-9852-4394-94d2-85133314f994 · outbound

This paper cites 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) , pages=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.537578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:78991f280975003082fa23dd9415d8ccf2acdfe290df4cf1492451711b8a895c

Observation d6b99f58-f139-48ff-acb5-329d6e78bebb · outbound

This paper cites European Conference on Computer Vision , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading European Conference on Computer Vision , pages=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.674834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:1bfef1e18cbad7fbab3c4852170ed48cbe47180c818f5106c74f226ca7a2f717

Observation 2727cecd-b14f-4549-a5b2-74403c512a7f · outbound

This paper cites 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) , pages=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.576899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:d984fa1dcc9cf93c78780ce4e42bc4a9b1c7c1f49121ea084d651abd7c87a32e

Observation d5271318-fc3f-4c33-96c5-984def3f7654 · outbound

This paper cites 2021 USENIX Annual Technical Conference (USENIX ATC 21) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2021 USENIX Annual Technical Conference (USENIX ATC 21) , pages=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.704748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:2be19a88422e2784ef22643f6c826c286fe947e916aea919776a0b34a828968b

Observation 57f7a738-3ce3-4cdd-bad7-a273234c5423 · outbound

This paper cites InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectives.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectives

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:21:26.874842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:941e21757423ea50bc5e2a7be1d2159433802928ed6f8074b3e0e7f622cd4f25

Observation 991ee25b-7f9d-41d2-be4c-ed1710fab541 · outbound

This paper cites 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) , pages=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.606152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:b9e3cf746f680cb3f1f3edf0f7717da9bc6eabeb25f98b36741b9fe0a2185ff4

Observation 53b2ca41-e51c-430e-b3da-cf529eeb99f3 · outbound

This paper cites 2020 International Conference on Field-Programmable Technology (ICFPT) , pages=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading 2020 International Conference on Field-Programmable Technology (ICFPT) , pages=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.589467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:8b5ef7f5e67ee343eae86ec1170b77abc98d260ef75c52d1263effca59ac51b5

Observation 8eefedd4-0303-4668-83d4-cede5516fa3c · outbound

This paper cites IEEE Transactions on Computers , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading IEEE Transactions on Computers , volume=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.651045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:e3810965c3ee49b55c298ee94043c466063798e4b84445d394fb846ae4d648ee

Observation 9a5292c8-e216-436c-92a5-a8aff6e7886a · outbound

This paper cites In Proc of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Mar 2023 , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading In Proc of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Mar 2023 , year=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.530476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:83f71bab3f34054030534031cde87ca8e1ed39e270e8c9375dd0a752db877e4c

Observation 7adf3428-004a-4e03-942a-a03c2ee17138 · outbound

This paper cites Microsoft Research Whitepaper , volume=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Microsoft Research Whitepaper , volume=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:04:17.235538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:4aac9e06dfba46c63de55dce9f5255f2d938415618f68ec0a9236e502aadbc3f

Observation 8a7de89f-9bce-4637-90dc-191b98c8847c · outbound

This paper cites Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:21:26.870117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:7a6490bdfda19c9664c63eec664a7ff072b19ea4df4c99e34852ed1e40c0ea27

Observation c94c2a1d-08c3-466e-a47d-85b7cab0d8a4 · outbound

This paper cites Thirteenth annual conference of the international speech communication association , year=.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Thirteenth annual conference of the international speech communication association , year=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:05:24.751565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:9958149a2f2599011d78206db17b70c8038749e59e858c6d03e74ffc400860f7

Observation afab8229-d295-48bf-9fb9-9fd63f1ee13c · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 100

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:28:46.295671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:f62ca930ba683413b412470ea4937cc510da320a41596d104552ab3642e67826

Pith citing papers

Observation a71bd65e-b4d4-4c10-bf9b-663898928a48 · inbound

Dual-Anchoring: Addressing State Drift in Vision-Language Navigation cites this paper.

Dual-Anchoring: Addressing State Drift in Vision-Language Navigation Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-05T17:21:17.939323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:0be821f9000522c68cd34a8d786298a4d925c0fcea5804295e16e0af9a369612