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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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

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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 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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=sha256:9c49352334dc8c021d02185aafdbd52dcb96dba4d67e2febeef4ef91e9ba7549

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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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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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doi, observed 2026-08-15T14:34:16.230589Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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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 2026-08-16T06:30:59.297886+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.

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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 2026-08-16T06:30:59.297886+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=sha256:57e794d950b2e56b9671962c093c4904fd9dbb6afea7f73df84f72f4ba752556

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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.087772Z digest=sha256:3b7d3478dd3e2a1feb75eaad45a1c2adfdc6cbbc3594af7732bb2813bd10a178

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.091368Z digest=sha256:b7f35bbda1e745af8457906ff6bb31c4481f3991fe69a346cc87ae336f6416aa

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.094737Z digest=sha256:93fedc49bcb2f920b4989065e961b97401165487db06cc2cc6146748f15451c3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.098329Z digest=sha256:dbd94bc62e4a574c1f76eec6cecb79a6c912260101304f7443bf7fa2cc85c92f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.101862Z digest=sha256:ecdbcce9ce600acf8c0f07611b39004291c19190f929a7ab260cb49e6c4910ae

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.116061Z digest=sha256:d8e1087d447799a53a002a3913f1317d584f1e28740ca5fb35e2f20b4fc3d905

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.119574Z digest=sha256:79d87c201ded0975e023ef98b2c51a0d1a113aefac1de1753cf3243198ee183c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.129735Z digest=sha256:76f20de348cdee7bcfb095542a8efc57b70e9d7d6a1b226669100cfde0cd551b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.143713Z digest=sha256:00a517560c11ae67af0e152929bfbfd16a73079960f27318f2e6c20ddc1d6bd1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.147240Z digest=sha256:7c7331c8717c826ed4d2ee71373d86592d24ec7d2c5f87c090d2ad384a755cc5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.150293Z digest=sha256:fe11785cc175dd7581b00df5372b67e4bd305740d8450e1307dc09d629d59ac5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.154118Z digest=sha256:42aaff15fc6351bf16b050b1916b46ee184695049dd6832dd9ed0f5cb4f3c21d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:34:16.157661Z digest=sha256:d5aa3a576f9b39a6fdbe09e07313ada118629fe2541d6e5ec83490dd6f143d65

Pith citing papers

No inbound Pith citation observations are available.