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Paper Citation Record · LEDGER

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2607.01216.

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

pith.paper-citation-record.v1
2607.01216 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T04:00:51.707120Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:24:25.916838Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e65e5550-9b5d-4bcc-a443-c780229f8e00 · outbound

This paper cites Deterministic edge connectivity and max flow using subquadratic cut queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Deterministic edge connectivity and max flow using subquadratic cut queries

Reference 1

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:218f0014a82f6cb9146b728c68d1088ec7879cf370ff31d31f794e64f9bca02b

Observation c608ea05-1891-407c-9bca-df25dcb88855 · outbound

This paper cites Learning a hidden hypergraph.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Learning a hidden hypergraph

Reference 2

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:4401dd20c0b3f3dc29bbc3eeaa81c363df17821b12e3d06b2b06d818f1a2f3e0

Observation 9756d955-b3ed-4793-99b3-be3fd96be209 · outbound

This paper cites Cut query algorithms with star contraction.Proc., IEEE Conference on the Foundations of Computer Science (FOCS), pages 507–518, 2022.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Cut query algorithms with star contraction.Proc., IEEE Conference on the Foundations of Computer Science (FOCS), pages 507–518, 2022

Reference 3

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:daed73e029d9758110716bd323660a2f939ee28411a68b05252c97b4531da822

Observation e0759fc9-01c4-41be-bb09-edeb2e9752e7 · outbound

This paper cites Graph connectivity and single element recovery via linear and or queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Graph connectivity and single element recovery via linear and or queries

Reference 4

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:34a8974cd3ee83d050f0e66a24df43c441f1fd8fc32895ae1dc4bd90d4218aba

Observation 50ca7307-287e-4379-addf-40dbf8908582 · outbound

This paper cites On the query complexity of connectivity with global queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles On the query complexity of connectivity with global queries

Reference 5

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:fc8d85d5617fb52519379b26dbbac5853371a7acbca0930ddfc6ee45f622cc13

Observation 2d89f3d4-daca-4eea-bf65-f1e2a5f26a08 · outbound

This paper cites Improved lower bounds for submodular function minimization.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Improved lower bounds for submodular function minimization

Reference 6

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:ccc0bfbbbbfdcc2df0e602e909a219939f0f42bd3f728466f3a33269b4736bdb

Observation abd78e7f-6cd0-4d27-96cf-c61e205a6f7d · outbound

This paper cites A query algorithm for learning a spanning forest in weighted undirected graphs.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles A query algorithm for learning a spanning forest in weighted undirected graphs

Reference 7

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:bd15a6be1d65ca85c78b170a13b7f7c3a59519df7b308e73b3c9b98fdcc8a4f5

Observation 62498316-aab8-460b-b3ce-058d5f8ec1cc · outbound

This paper cites Learning partitions using rank queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Learning partitions using rank queries

Reference 8

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:8efe29657568e9adb683ef0c57b5cb26776d471019eaa574bda02d6b7b6d05da

Observation 31f791b8-ae0e-48d3-a1c9-5c9b2cd0ba75 · outbound

This paper cites Isolating cuts, (bi-)submodularity, and faster algorithms for connectivity.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Isolating cuts, (bi-)submodularity, and faster algorithms for connectivity

Reference 9

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:6c3ca81501a07fb7bfcf556a57447455750102e9719a69ecc92164ea7fe98418

Observation 9bd0f184-836f-48e6-896b-883951d636d4 · outbound

This paper cites Minimum cuts and sparsification in hypergraphs.SIAM Journal on Computing, 47(6):2118–2156, 2018.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Minimum cuts and sparsification in hypergraphs.SIAM Journal on Computing, 47(6):2118–2156, 2018

Reference 10

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:616c0605cfcc082c962cafc556d51f99fb1e11732b6f699a6ec98b5c807f5432

Observation ec3d1d0a-b172-4abb-9312-f9492d792283 · outbound

This paper cites Near-linear size hypergraph cut sparsifiers.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Near-linear size hypergraph cut sparsifiers

Reference 11

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:213dd9c6ba04a4509bb7d25e81bcd3a43f9aafe8d611342983e602013b277919

Observation a30ba41e-4c7c-4796-b69d-2c89ebb74eab · outbound

This paper cites Sublinear time hypergraph sparsification via cut and edge sampling queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Sublinear time hypergraph sparsification via cut and edge sampling queries

Reference 12

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:711dbec1bcd5e9b8733a4613d2d8887714eebaf8650c9e0e7aad9ad291e4d430

Observation 3fa5fb93-00fc-4d7e-b0de-f7596f8bb208 · outbound

This paper cites Polynomial time optimal query algorithms for finding graphs with arbitrary real weights.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Polynomial time optimal query algorithms for finding graphs with arbitrary real weights

Reference 13

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:8c15c6752f42690b20f11978d5846564ee465483a3a89cdfacb94c230350a2b4

Observation 2075e303-deb6-477b-9ea3-0618a359460c · outbound

This paper cites A linear hypergraph extension of tur´an’s theorem.The Electronic Journal of Combinatorics, pages P4–41, 2022.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles A linear hypergraph extension of tur´an’s theorem.The Electronic Journal of Combinatorics, pages P4–41, 2022

Reference 14

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:54de963b5dcf078fd7ce90546e4f61aedb9077f5fd1443762910f87ea2c6ce47

Observation e7a07d1b-470b-4ff9-b1d6-96d503a9a9fb · outbound

This paper cites Vertex and hyperedge connectivity in dynamic graph streams.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Vertex and hyperedge connectivity in dynamic graph streams

Reference 15

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:cf84b4c0391742ad737efc59ed8bf4a8026d06fa8e9b1c6109f543570bee37ef

Observation 845863e8-8373-47a7-9aa4-5ada4fe94d3b · outbound

This paper cites PhD thesis, Mas- sachusetts Institute of Technology, 2008.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles PhD thesis, Mas- sachusetts Institute of Technology, 2008

Reference 16

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:dfb415c695b103ba9bdfd5e7285efd3682631aa5f313c933b49b4fe5b4f0f9ae

Observation 7e08dcb4-2c0f-47f7-93aa-d9b9ce1b938d · outbound

This paper cites Dirac’s theorem for linear hypergraphs.SIAM Journal on Discrete Mathematics (SIDMA), 39(2):834–847, 2025.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Dirac’s theorem for linear hypergraphs.SIAM Journal on Discrete Mathematics (SIDMA), 39(2):834–847, 2025

Reference 17

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:356255de7d651d5355af50f1d3482d1c7f3176103e9c7406b339f37f13fa95ec

Observation df452838-3d5a-4c00-8dc5-ad43f0f9fbd1 · outbound

This paper cites Regular subgraphs of linear hypergraphs.Interna- tional Mathematics Research Notices, 2024(17):12366–12381, 2024.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Regular subgraphs of linear hypergraphs.Interna- tional Mathematics Research Notices, 2024(17):12366–12381, 2024

Reference 18

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:8729e83c923b3ff1b8d49dcd44a89e4a32c0f30861fef636510a3c49facd89c5

Observation 998742bc-d539-4294-b2a0-53f90d382850 · outbound

This paper cites Minimizing convex functions with rational minimizers.Journal of the ACM, 70(1):1– 27, 2022.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Minimizing convex functions with rational minimizers.Journal of the ACM, 70(1):1– 27, 2022

Reference 19

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source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:c7498d0d4d05cd875093f122016cb97431a454501a6f9a4080419c43d185dd22

Observation d762cfc8-cabd-4379-8de3-fb9bd8bb3e9c · outbound

This paper cites Minimum cuts with fewer cut queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Minimum cuts with fewer cut queries

Reference 20

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:2d60d58f60b10565b9a181ba10fb19098d08d2bba57062f5e3d91822473eb80c

Observation fd002661-288e-4758-b186-47fcd859e6ca · outbound

This paper cites Cut Sparsification and Succinct Representation of Sub- modular Hypergraphs.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Cut Sparsification and Succinct Representation of Sub- modular Hypergraphs

Reference 21

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source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:dcd91505409b10e89701d56fdafe3fb4bbc56d348d441ac87c02004c14d9aea3

Observation 2e124bcb-b291-4840-a416-15f652cb5390 · outbound

This paper cites Cut-Query Algorithms with Few Rounds.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Cut-Query Algorithms with Few Rounds

Reference 22

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:a28e55c22abe957bd7952de6063361e499bae2a46f7c55b1ab18c41fb14e19bd

Observation 9389204d-0dcf-440c-a979-53787056e8eb · outbound

This paper cites All-pairs minimum cut using cut queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles All-pairs minimum cut using cut queries

Reference 23

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d37bf802b837f47ae43e5d8d7c3442f228b61bbbd2b91caa23e031a8ba82db4d

Observation 8e222e6f-6eb5-46e8-ac9e-19aafdb7be48 · outbound

This paper cites Faster all-pairs minimum cut: Bypassing exact max-flow.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Faster all-pairs minimum cut: Bypassing exact max-flow

Reference 24

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:4eb15ae66c47d9b0e37b20903bdaf184c7f24931b8589c2615c144c9626533d8

Observation e621e276-f573-44bc-a0ec-b4f1e796ae97 · outbound

This paper cites Near-optimal size linear sketches for hyper- graph cut sparsifiers.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Near-optimal size linear sketches for hyper- graph cut sparsifiers

Reference 25

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:59fd9ed1ff2ac4ee83ea13dbde2c429b28a3d07c753a4ac95315489787915dd8

Observation aa39e5f3-6741-4c0b-b622-8c6bdf146ee6 · outbound

This paper cites Sketching cuts in graphs and hypergraphs.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Sketching cuts in graphs and hypergraphs

Reference 26

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:e38451069f26aefd88f6515cec6f511b2b87bd5efe06bf1ab7297805579c3dc2

Observation 2225a0f3-6fa9-408f-8d39-cceb7c198938 · outbound

This paper cites Quantum algorithms for graph problems with cut queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Quantum algorithms for graph problems with cut queries

Reference 27

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:05be57373baf761b21bb870e94a276b2014618ec10a81af2883862f2f6e7b0ea

Observation e29ef8ea-9c29-42be-991b-2271ba62d03f · outbound

This paper cites Deterministic min-cut in poly-logarithmic max-flows.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Deterministic min-cut in poly-logarithmic max-flows

Reference 28

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:74e07561fdc7df1d333a7e313c39cc534425e770b99825a16888057ded741373

Observation fa90ab0a-fd94-4227-8916-1aa34333f021 · outbound

This paper cites Learning spanning forests optimally in weighted undirected graphs with cut queries.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Learning spanning forests optimally in weighted undirected graphs with cut queries

Reference 29

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:58ba6a80da1b81bb267c4df14c295ea3107cbda23717e800de63b3d447278f93

Observation 4e7fc564-3913-4d34-961e-e7e03f8371cf · outbound

This paper cites Weighted min-cut: sequential, cut-query, and streaming algorithms.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Weighted min-cut: sequential, cut-query, and streaming algorithms

Reference 30

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:c14d85ec9c83d51586065e571dbee245ff251a6322a664e3666d5a7a6de76dcc

Observation 87e165a2-a8e8-47be-96c4-a845f354bb8f · outbound

This paper cites A linear-time algorithm for finding a sparse k-connected spanning subgraph of ak-connected graph.Algorithmica, 7(1):583–596, 1992.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles A linear-time algorithm for finding a sparse k-connected spanning subgraph of ak-connected graph.Algorithmica, 7(1):583–596, 1992

Reference 31

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:c1c3010fe7e7fca3f5b8b9db706b09f67383efb2595886aa8511940d3c9ebeab

Observation 4bfcbe02-8d4b-4899-8c17-571e6a6af474 · outbound

This paper cites Quotient sparsification for submodular functions.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Quotient sparsification for submodular functions

Reference 32

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:afb56fcdcc0c46c84fbd1ab2b0fb879cf5e88855f631060797845ee99b75a73a

Observation 1b77234a-bf4a-4fc4-b4da-b95022ed63b7 · outbound

This paper cites Minimizing symmetric submodular functions.Mathematical Programming, 82:3–12, 1998.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Minimizing symmetric submodular functions.Mathematical Programming, 82:3–12, 1998

Reference 33

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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:a774d9c3609af150e177affdba006904367564b49edb41e4994728f9ca7bb3a2

Observation 4c230e68-6de8-4589-84cf-e29d4aa3ca3a · outbound

This paper cites Matthew Weinberg.

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles Matthew Weinberg

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:32:07.796809Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d1ffa4e92d2aa7ccd716efba4f75c204f07dcdd8c9d98cd06344a51e8c223170

Pith citing papers

Observation 01a92096-9361-4a9c-b727-d1193eaa4f10 · inbound

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds cites this paper.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T13:24:25.916838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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