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Paper Citation Record · LEDGER

Improving TensorSketch Using Complex Random Variables

As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2608.10523.

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

pith.paper-citation-record.v1
2608.10523 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:34:16.157661Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact5
  • verified fuzzy29
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bae45d47-8646-4590-89d9-ea1cb585d49b · outbound

This paper cites AMS Without 4-Wise Independence on Product Domains , volume =.

Improving TensorSketch Using Complex Random Variables AMS Without 4-Wise Independence on Product Domains , volume =

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:15.960529Z digest=sha256:8ff471b374120ac0a573aa61e7498ea0517e5695e9c35f8191e5106adb968653

Observation d2f96952-c000-4c6f-95e4-7aa63a5f2cf1 · outbound

This paper cites 2007 , publisher=.

Improving TensorSketch Using Complex Random Variables 2007 , publisher=

Reference 2

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:15.966924Z digest=sha256:1122ae2e079fd2a47aa679ab02293939e3f617d12135f1bd0ac91f9d2d1ecba9

Observation bc1db1d3-48a6-4db1-acc7-7c6340134a90 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Improving TensorSketch Using Complex Random Variables SIAM Journal on Matrix Analysis and Applications , volume=

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:15.970542Z digest=sha256:c4b5843208f6d79ecb246583e01dd446fa3dfc2c5cf0279cf45faee3b46dc291

Observation 9b2b1452-ef85-4ac6-bf65-cda8f6e8868c · outbound

This paper cites Machine Learning , volume=.

Improving TensorSketch Using Complex Random Variables Machine Learning , volume=

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation be53c59d-e58b-430b-81e6-31e22e803a4a · outbound

This paper cites Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms , pages =

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0507d870-6d8e-40d1-9e2f-42f5b01086fe · outbound

This paper cites Foundations of computational mathematics , volume=.

Improving TensorSketch Using Complex Random Variables Foundations of computational mathematics , volume=

Reference 6

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no resolver link, observed 2026-08-15T14:34:15.981390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 976888ca-783d-4521-9bc5-e4b4d7f143f1 · outbound

This paper cites Journal of Functional Analysis , volume=.

Improving TensorSketch Using Complex Random Variables Journal of Functional Analysis , volume=

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7233b6de-b14a-4a81-a465-9837d2709527 · outbound

This paper cites an unresolved cited work.

Improving TensorSketch Using Complex Random Variables Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dc978f41-b1a7-41c7-b2f8-d6cbc44d0b6c · outbound

This paper cites Chen and Martin Farach.

Improving TensorSketch Using Complex Random Variables Chen and Martin Farach

Reference 9

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Observation ad6bc87e-6b58-44a8-91fb-877472b448f4 · outbound

This paper cites and Kapralov, Michael and Knudsen, Jakob B.

Improving TensorSketch Using Complex Random Variables and Kapralov, Michael and Knudsen, Jakob B

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0e7eba3a-f845-4e65-87a2-def19d509475 · outbound

This paper cites an unresolved cited work.

Improving TensorSketch Using Complex Random Variables Unresolved cited work

Reference 11

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Observation bbf7a584-c518-4ef2-baa4-cde81ee4a12a · outbound

This paper cites 2025 , note =.

Improving TensorSketch Using Complex Random Variables 2025 , note =

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e9a68ce2-4fe0-45b5-ab3e-0730afbe6950 · outbound

This paper cites Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , volume =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , volume =

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-15T14:34:17.034484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 57fe3346-2f86-4060-a4b6-870d301e9872 · outbound

This paper cites Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , pages =

Reference 14

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no resolver link, observed 2026-08-15T14:34:16.009907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.009907Z digest=sha256:6a43bb9e64ce5eb403a292c53a7785c34d84dc7ff05a8bc682f9239aadea380f

Observation 188057da-dac5-4817-8849-465252fa8c2b · outbound

This paper cites Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation.

Improving TensorSketch Using Complex Random Variables Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation

Reference 15

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verified exact
local_arxiv, observed 2026-08-15T14:34:16.266882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.013429Z digest=sha256:1440ee5cf814d7bbe9c171b97d5c496b9a2170438072f9b157184549949908cd

Observation 507027a6-c760-41ac-bc12-67357767f042 · outbound

This paper cites 2010 , eprint=.

Improving TensorSketch Using Complex Random Variables 2010 , eprint=

Reference 16

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raw_fallback, observed 2026-08-15T14:34:17.024474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.017474Z digest=sha256:e70e3f1c7295240c00bd758d2c85ae126ed41fb8da2faab9bef2d472eb0d3aa5

Observation 5b3e3662-b47b-4720-91bb-1c0c7988d460 · outbound

This paper cites and Lindenstrauss, Joram , journal =.

Improving TensorSketch Using Complex Random Variables and Lindenstrauss, Joram , journal =

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 340f688e-6c2d-4dde-a68e-be4db9760f18 · outbound

This paper cites The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings , booktitle =.

Improving TensorSketch Using Complex Random Variables The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings , booktitle =

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.024986Z digest=sha256:64e4abe3588b881ac2e6610e0c6860de969f04409dd0969c12487380bde1d652

Observation 9bc49164-8237-44b6-b5d3-c45e8be5b9c8 · outbound

This paper cites Approximate nearest neighbors and the fast.

Improving TensorSketch Using Complex Random Variables Approximate nearest neighbors and the fast

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 59155bd4-3ff6-4a8d-b98f-688dab655383 · outbound

This paper cites Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS) , volume =.

Improving TensorSketch Using Complex Random Variables Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS) , volume =

Reference 20

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raw_fallback, observed 2026-08-15T14:34:16.982559Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 562d28fe-9a6e-4c70-bc73-cbbdfe550b31 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 21

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verified exact
doi, observed 2026-08-15T14:34:16.252570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 612a1958-df34-4680-bc09-a558e180caa2 · outbound

This paper cites Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.

Improving TensorSketch Using Complex Random Variables Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Reference 22

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no resolver link, observed 2026-08-15T14:34:16.038582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.038582Z digest=sha256:9c49352334dc8c021d02185aafdbd52dcb96dba4d67e2febeef4ef91e9ba7549

Observation d71ce89a-7a36-428f-a5e1-bfc8a806b605 · outbound

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

Improving TensorSketch Using Complex Random Variables Advances in Neural Information Processing Systems , volume =

Reference 23

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raw_fallback, observed 2026-08-15T14:34:16.972387Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.041943Z digest=sha256:1f5dbec632fcb088dcd9852613981dae741b3c445cd66a77881e5386a6308f3d

Observation 081d14aa-c8e7-4636-942b-cd62a110bfcd · outbound

This paper cites split SVM : Fast, Space-Efficient, non-Heuristic, Polynomial Kernel Computation for NLP Applications.

Improving TensorSketch Using Complex Random Variables split SVM : Fast, Space-Efficient, non-Heuristic, Polynomial Kernel Computation for NLP Applications

Reference 24

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raw_fallback, observed 2026-08-15T14:34:16.961761Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.045347Z digest=sha256:002a482458c2cc71793042449e76dd8074ca79971824dfa31fd08a0c1c04dd20

Observation 0fc2a4c0-9f38-40e3-b7a8-ceb6b8f926f5 · outbound

This paper cites Proceedings of the 10th IEEE International Conference on Data Mining (ICDM) , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 10th IEEE International Conference on Data Mining (ICDM) , pages =

Reference 25

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source=arxiv_source observed=2026-08-15T14:34:16.048975Z digest=sha256:edede5cc534246adb9e58c084794a35d4a40542a2e4630e8aacf10b29c4f39d8

Observation bd8a6c5e-dd91-4751-9cca-20e9a9fcd467 · outbound

This paper cites A Perspective on Interaction Effects in Genetic Association Studies , journal =.

Improving TensorSketch Using Complex Random Variables A Perspective on Interaction Effects in Genetic Association Studies , journal =

Reference 26

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verified exact
doi, observed 2026-08-15T14:34:16.230589Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.052395Z digest=sha256:8d65db0b16f6846b3b2f9ddfba48d4cf4bbc122a118b23038f56a6252cf63a2d

Observation 39f3d2c9-88d2-4e05-8108-1a3ecf7cdc67 · outbound

This paper cites Explicit Approximations of the Gaussian Kernel.

Improving TensorSketch Using Complex Random Variables Explicit Approximations of the Gaussian Kernel

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.055725Z digest=sha256:c7a6590b607e9f186c2da0279d79fc15f6596a78732b769a85a22b78d9cd1be0

Observation c37c8c65-d9cc-401a-9f50-3592b4dac5a3 · outbound

This paper cites Faster Johnson-Lindenstrauss Transforms via Kronecker Products.

Improving TensorSketch Using Complex Random Variables Faster Johnson-Lindenstrauss Transforms via Kronecker Products

Reference 28

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verified exact
local_arxiv, observed 2026-08-15T14:34:16.718649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.058739Z digest=sha256:0d7fea46a00d5bc7ba8e012ee3ad112d05a8ad24ed7f2e2ba6c7db4f448c32ca

Observation 192bcf5b-727d-4965-a006-d85973282ec9 · outbound

This paper cites Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation.

Improving TensorSketch Using Complex Random Variables Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation

Reference 29

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no resolver link, observed 2026-08-15T14:34:16.061801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46246517-9b81-44ca-b072-4d57d4ec2a01 · outbound

This paper cites an unresolved cited work.

Improving TensorSketch Using Complex Random Variables Unresolved cited work

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.066160Z digest=sha256:49db36e5b96754510245a1e551e86ed0d6cf402084d4b424eb780fe37a24c907

Observation 520c6e2e-d755-4d47-bcd8-989ee3cb8797 · outbound

This paper cites Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , pages =

Reference 31

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no resolver link, observed 2026-08-15T14:34:16.069440Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.069440Z digest=sha256:18f7d771356fddd96a4a63e8913518add7866a9e29ef54f52f496e8b0beda5db

Observation ccee2fa1-0e59-427f-a29d-69d8c2538bcf · outbound

This paper cites and Leiserson, Charles E.

Improving TensorSketch Using Complex Random Variables and Leiserson, Charles E

Reference 32

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raw_fallback, observed 2026-08-15T14:34:16.951301Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f44009db-9f1f-4519-96b8-b0f5f593bf72 · outbound

This paper cites an unresolved cited work.

Improving TensorSketch Using Complex Random Variables Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-15T14:34:16.076451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.076451Z digest=sha256:57e794d950b2e56b9671962c093c4904fd9dbb6afea7f73df84f72f4ba752556

Observation b54f6422-f812-4536-ac55-5b19660f850e · outbound

This paper cites an unresolved cited work.

Improving TensorSketch Using Complex Random Variables Unresolved cited work

Reference 34

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verified exact
doi, observed 2026-08-15T14:34:16.202907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.080234Z digest=sha256:40950c24ec0909d90cd015938923980c9f7f615cb2eb78ad030419526a094ef4

Observation 4cb2252c-cd3b-4475-87c1-a28771cf574a · outbound

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

Improving TensorSketch Using Complex Random Variables Advances in Neural Information Processing Systems , volume=

Reference 35

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raw_fallback, observed 2026-08-15T14:34:16.940949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.084101Z digest=sha256:06228e1ee38ac6d67354195863540cfd23b3ddcc75591748f5c69a2d6a9fbe37

Observation d997530a-43d5-47a3-a1c0-fc5d2f335750 · outbound

This paper cites Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (UAI) , volume =.

Improving TensorSketch Using Complex Random Variables Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (UAI) , volume =

Reference 36

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raw_fallback, observed 2026-08-15T14:34:16.929875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.087772Z digest=sha256:c4658d0a591936a539f196169b961892633677e96c98c7189e623b2e93562451

Observation 489cb6f0-9191-438c-856e-b479ca28880b · outbound

This paper cites Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms (ACDA) , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms (ACDA) , pages =

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.918572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.091368Z digest=sha256:1c9be2f9e019a7777ff53eb5670bf2c3bd1fe571a4323fb3bc728fc314ec9f31

Observation a8123df7-485f-4b14-a4b2-bae4ea16c0c1 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning (ICML) , volume =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 35th International Conference on Machine Learning (ICML) , volume =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.906957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.094737Z digest=sha256:d52f969ccd64dab5eca8822bac47c2714f4463216010901591d06725d48c2609

Observation c69947e4-7e52-4fef-a55a-e6f9cf8710d1 · outbound

This paper cites Subspace Embeddings for the Polynomial Kernel , booktitle =.

Improving TensorSketch Using Complex Random Variables Subspace Embeddings for the Polynomial Kernel , booktitle =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.895629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.098329Z digest=sha256:2e3685e3d7b6c435d2363661d77a005c770ab76429dafbdf86b3fe73c2bf95c8

Observation 02b021a6-1cc5-4721-b4c3-150899df931f · outbound

This paper cites Wainwright , title =.

Improving TensorSketch Using Complex Random Variables Wainwright , title =

Reference 40

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T14:34:16.583752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.101862Z digest=sha256:dc19a7ee95679ef7286fc0a38b9590ea9297ac51222ac29717c18c3b04bb42eb

Observation 351f8143-f1ba-4065-9103-dbea7a74db76 · outbound

This paper cites Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems , pages =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.105698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.105698Z digest=sha256:45ceac95e405fe07966544044384f1f3110255f757591f4fe0752fbb3813e6ce

Observation eb4d45af-69b7-405f-9cfd-1043a79e3c14 · outbound

This paper cites Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

Improving TensorSketch Using Complex Random Variables Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.109055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.109055Z digest=sha256:57f6e9f71c3d1264c7fbed439e3fa2cb5e75e883a49270be78cf200d1891cdb4

Observation 8eaf4107-bba6-4988-942c-0f3083e59dda · outbound

This paper cites and Woodruff, David P.

Improving TensorSketch Using Complex Random Variables and Woodruff, David P

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.112406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.112406Z digest=sha256:8900aced362643dd75fd5a77cf0a70366b893fa4c74fd3cef5e845862adae212

Observation e692d1ef-3238-45d6-89db-92580065501d · outbound

This paper cites Detection of non-Coding RNAs on the Basis of Predicted Secondary Structure Formation Free Energy Change , volume =.

Improving TensorSketch Using Complex Random Variables Detection of non-Coding RNAs on the Basis of Predicted Secondary Structure Formation Free Energy Change , volume =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.884901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.116061Z digest=sha256:8ccd46c248b93a4f35f5ef53c7d2e3c207ee2ac62611d6ee51ed9c74b42dacb9

Observation f3e58548-63b5-477e-b219-4c2d2914c112 · outbound

This paper cites 1991 , howpublished =.

Improving TensorSketch Using Complex Random Variables 1991 , howpublished =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.874005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.119574Z digest=sha256:f0597f4f453f8f2d81fc66f9e3d76000d3a744abd38eaaee3de2cc40587d5f03

Observation fdd363d8-a77c-4786-ae11-cbcc8aa9f88f · outbound

This paper cites , title =.

Improving TensorSketch Using Complex Random Variables , title =

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.122994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.122994Z digest=sha256:b1471f35055175e32b3e7c1b067d58ad2e73db4c0d0edc6cbcc34e8ad7e69804

Observation d2e6965a-7524-4eff-af9a-461602a15e31 · outbound

This paper cites , title =.

Improving TensorSketch Using Complex Random Variables , title =

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.126326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.126326Z digest=sha256:c2f5b8e57a52bb02f20faabe523b20fb9262d23d09d976d444c227c34c82cadf

Observation fb327248-1c3c-4e23-a8c9-c6159333a82d · outbound

This paper cites Asian Conference on Machine Learning , volume =.

Improving TensorSketch Using Complex Random Variables Asian Conference on Machine Learning , volume =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.850341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.129735Z digest=sha256:728b3992f9cbc703e7cd11a94ec8f979a6bc24717fdcf7ad0882a082e0bb9553

Observation 4e8fe3d3-0f81-495f-96b2-b784706e0f6c · outbound

This paper cites Gradient-based learning applied to document recognition , journal =.

Improving TensorSketch Using Complex Random Variables Gradient-based learning applied to document recognition , journal =

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.133379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.133379Z digest=sha256:68767e60cc845aa2d3a664775f817a51657a587090da68235cf864e2592bbd30

Observation 123a7e22-d0a2-440e-96b7-f1be0ad6ba76 · outbound

This paper cites The Space Complexity of Approximating the Frequency Moments , journal =.

Improving TensorSketch Using Complex Random Variables The Space Complexity of Approximating the Frequency Moments , journal =

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.136961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.136961Z digest=sha256:5d4e4322156431a71fbcefc428c75191b8bf2201c7aeab0d4e59de1faa6278db

Observation 470dc261-4d33-439f-bbc3-37dc9150b714 · outbound

This paper cites 27th International Symposium on Theoretical Aspects of Computer Science , pages =.

Improving TensorSketch Using Complex Random Variables 27th International Symposium on Theoretical Aspects of Computer Science , pages =

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:16.140436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.140436Z digest=sha256:c0ba0e12a723fa2ec5bc02ba5c0276cb7c51e565a623a7b477427c0ef605ef8c

Observation 27d842b1-c109-46f8-b7cf-c92350a2c2bb · outbound

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

Improving TensorSketch Using Complex Random Variables Advances in Neural Information Processing Systems , volume=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.839293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.143713Z digest=sha256:4291b02a15e01eb4f118520885dd7bf1a151591f48647ebb4b3f118796e152a6

Observation f59fed69-fa28-431a-8590-7a93a571f888 · outbound

This paper cites International conference on machine learning , pages=.

Improving TensorSketch Using Complex Random Variables International conference on machine learning , pages=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.828102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.147240Z digest=sha256:af24774b5c70a38800d4c98a0b0f20bc47be39931af497c70513364d8fce731b

Observation 9dec83b9-3fd8-4f78-b311-a7e3349876cd · outbound

This paper cites Advances in neural information processing systems , volume=.

Improving TensorSketch Using Complex Random Variables Advances in neural information processing systems , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.817089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.150293Z digest=sha256:c33105346bf8049c7657a2f9f26ec9dd6c914be7201cf039d1497820f774445e

Observation 452766f0-a38a-46e9-8c3a-cca165d5352d · outbound

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

Improving TensorSketch Using Complex Random Variables Advances in Neural Information Processing Systems , volume=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.806382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.154118Z digest=sha256:5151e46a5b04b621fc4c464f43e99d01328d61a409ad45e537f9b0a0ff099e83

Observation 7086324a-ae34-474e-92ca-081d44f72f13 · outbound

This paper cites 2025 , eprint=.

Improving TensorSketch Using Complex Random Variables 2025 , eprint=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:34:16.795323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.157661Z digest=sha256:822d4f2969506b4d6d75e01f7e5ac436e6737a56e291489017bd6f9a0ecb5e4c

Pith citing papers

No inbound Pith citation observations are available.