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Paper Citation Record · LEDGER

Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles

As of 8 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 2026-08-07T06:34:17.273281+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
  • metadata mismatch0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d3764d8fd9bdde42adbf5116a7e933554e764cf66b776e2044d6cfdee37a7bdb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:555ab214baaf4dcdce5f9d4532d49a84105fa4ad8c868cb781690c7b6e745a55

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:20c07dffad9c33a64f2ef972d1c81739d9c018cda4011bc6f6c2803ade42d9e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:7e13f606046ff1e5a92348951ba9b4230ca12eb5ba263c2cb018a6e00ba876b4

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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arxiv_id, observed 2026-07-02T04:06:34.634273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:5681fb76a1ea9479326bc706e946f09fdf7863eaff009f6701c1bdd2af1d52d5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:bac53edf9b91359eb2b26312e1c9778d7ae051744df699662079a6c659695196

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:28071ccf4a43432cd60c4e86ed14d6aeb8b735f3716788d4f48e64cb1baf3731

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d3eacb15fd334de82486bf209c65610abbc8162ce9a3e2d04e9266fdb663a626

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:499f9e2988807dfbbc40fc9ce15e6dd4213052082845d0cfcabb27919a19d6d8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:08c28e4a434e4ec3c745f8e86db4f90e82bcbbe6acea3f4a86a52aee21e7b680

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:e160cd5a0da9d72c86f25b31150b275ef4dd8827cf6289c6b38212f31824b297

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:76e2624310cea8080d9b717dd4c7f35016ab824707ffc7676d3eadda7abd119c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:9b7a20fc6de3178eda4516211814a5d519501776f61bcec2904ea020b02405fb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:555ee700a74e4e7308c488f7879557699a6bd2fe80fb2778b1099159bcf5b15b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:cbd939155c9bb6d975f4b70764e44580e0424147e1b7430b991734b71d74a6cc

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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source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:55bd772620386e98e323cfa9e020884f06b0360d16ea852b1ea3ce31464e7cec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:9bd8047f52bfbbb856f3598a1054a1a8446787d0e2dc8639743af8b1a7ff0ada

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:0ba9b1cc96082fac8371ee9deb801183d789eca13c6765cd0da1e2942d4f19d9

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:01f69e2be71358c69ae5e457bc4584d1c7b5fa05ba3068aafc168eb7f3d4ec31

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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source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:2fd76a3dd6394aad9724349253f9ed9ea57d922498e7a1f2c21e9aa1d648fb6a

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=sha256:772bb66cae6f1ebbd28073c6be20431af7f742e6dedf5c27c3277a8d2d20bbc4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:72cb405fd50d9eef1cef6391b57d79207826f42ee44db82f2088cb2804e62d85

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:1078e68cba2942ce23a0f3939f32c9889621968ca36e9834a600da2d7f8d001c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:0fcf8c2a083cb16bfb66d2d059940f1b76f18b7e25ea326f1bddf62ff13c7f62

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:bcf1e4adb4262aef7a6a8b4bd945331f66f39386aaf2536a1ce5a0d8b5e991b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:673d39f6e33ee2d19ed16c7d5e56e8e8f73eea6691f9c73f755e200eeced9d11

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:188c37d72d555040ebfec1b26aa033dcc7efbc356961c3cdc8a9946daa782afa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:5766af0f106469fdddd56904d5f2038fd3775c8fc046eb9dcb17483c2ecf905e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:cd2fcbf26474087d3bae5db7dcc64f77b3d2a9932d382ae2cffad4e5d6f69071

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:f4451f8aee5bb2e3ef6a8f71e7b60e5e04533516dbe3e757f8b2efe967964c6e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:faa549b08f27345731e4c6747bb5c50a7847914398b0615d5a6cac0b0721b64f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:5226d66e76e462f16b55e821882b06f2cbd193eac84f1c48962920a5ad09deda

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 2026-08-07T06:34:17.273281+00:00.

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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

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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

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unresolved
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Unavailable: canonical work link unavailable.

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