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Paper Citation Record · LEDGER

Improving TensorSketch Using Complex Random Variables

As of 22 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 2026-08-22T06:32:14.747728+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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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source=arxiv_source observed=2026-08-15T14:34:15.999303Z digest=sha256:93fde0a6a417c084ad41998378c2b21f7df3705eb9f0ae34bf3c431322a7241a

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 2026-08-22T06:32:14.747728+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.006544Z digest=sha256:6b2d9352dabc6d14a59f9ecd5351719893501845c9aa80163b55ac036cf86085

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.013429Z digest=sha256:d1671dc624aa88df22f09a3f065a7337d964c33957fe33d1619456b95038c3a1

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.017474Z digest=sha256:378042834611f0ef4a5c0d2ec6500d825644c35b23182f3726012f0158b7178d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.021222Z digest=sha256:b8b50f74254ce764f8e7fe7d7aaf2b2afd002e42df8ee8fe372a1f1c30b7c131

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.024986Z digest=sha256:9ac9873cbfc2316a9a3c179030b344584a973d15bc80d9a9b67f94eaaec0f5b7

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.038582Z digest=sha256:655de7f7f9e3f69dcd541496738ee15c6c85b2e691b59424d5262d2ece9befd7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.041943Z digest=sha256:74308a7f6c38ce31b3b204939b86fc5e297a9454317137921a796f9d575c042b

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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:aed174402c5965a8c7abaed939ecbefb162bd436f3618563f5a28fcb41dad780

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
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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=sha256:043e51beaa4998cfeaebe5fadc593e5992b50b41e4ddeb2da3ccb72d7539af41

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 2026-08-22T06:32:14.747728+00:00.

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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.

source=arxiv_source observed=2026-08-15T14:34:16.061801Z digest=sha256:a0160f6528f094f194a4c8b71c55b10969b7c2fe7590a3763bd0f64486903417

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.

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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.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:16.076451Z digest=sha256:f82efd56bd2581c033bd3aaee36dc4b59ffc32f9a5c4276e8d0c6f0fec0ec35c

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.084101Z digest=sha256:fff2d8a30b647d0223c2103a7a326356470eb89bc3212181adae044ef3f7ff2f

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.087772Z digest=sha256:763956c5cfaf83d74ed2a5f71640321111df86c2fd6754a6ca18298d19794e5c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.091368Z digest=sha256:3e5797bf91bc5d27bc7e1ba78066304a503c60b9782c2f8f76738be0dbc5a461

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.094737Z digest=sha256:f21958b9ac4f6bfc05a3c4deaac1cee4d520c0bc3c7eacb264e429dcc99f55e5

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.098329Z digest=sha256:807b62ba8a96274c783e18e0e706d1003c16caf44570ab4bde510aae1266121a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.101862Z digest=sha256:44c434ddbd17ad811cc119247ea8f42df87e81627d3dfc4ee4ce80d0c6e4cc02

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:fb0959c3c5469c99b7f9b9fbbf771d44d4208061608079b550f49ccd134f98d7

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:e5651d2eabf54ef5e557314c34649bfe82eaafc48a43de6ab68f547f2aaa5a7f

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=sha256:9acb053c0ff2ff1c1168b9070983351a2162c15d1e6bc2876b08f8d34faa1385

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.116061Z digest=sha256:d02d0dc3c854194603864a290384837a15d12a9bb3067d09adb41367ed72fc6e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.119574Z digest=sha256:6ea36b5c7c92ac7c2ee32ff8595b943790d02a7eabf27d785b3addf5a1048fe7

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=sha256:764e8a5f9ffd577489b9aa7b80219ef62a15b59c544ec79b0e399b200b649b60

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:b29947648af4c095209191de0887685e722fc2f682319a0f37ee7a1c8cb1ef74

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.129735Z digest=sha256:0e785e3d1b7f907725d3deb862f6cb1405476e31cfdc588d82b9cf9f3ffdf7cc

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:d1e30345086d22d8a1f5548ff93b320711aa534dfd861bea4a66f44180952b2b

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=sha256:56e60d902169e6279631b31a87e5f241f2a4c7eb028f65e7603c5d0d26397dfe

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:fd7509dd606cf3bff92c9a41175196a60eb16c250eea503a3513ddf7a69da42d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.143713Z digest=sha256:8d27b52ee03402d0ad417e2a680f2fc4f861e2e1010be8f3cb5cfd9379e01c7d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.147240Z digest=sha256:8bf57ac44c11281c67e7f53948358091377cc9e22ce55d11f200c9856325d70a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.150293Z digest=sha256:508bf039046a1003fc5a3794a16cbac7f38fc8a858dbf494eb89a969925e04e3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.154118Z digest=sha256:62d3293562f6924c2b003f7702a3cee4bb76779519525006df001c55ebae1e2c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.157661Z digest=sha256:d5cf46396056ab717aba941f176bcca20b15a0e5954ca8a46e2197331e143cef

Pith citing papers

No inbound Pith citation observations are available.