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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:123b10511971b307f6c2e6733e29cdfa57c6530982dd82464d910c36c6e1220d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:7ad809b539916ac2eab9363cac50fd85cf962deadc39c97ffa7618ac40d8ec0d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:6a90e77efcfd1ad55d3ac330dd0b4f8f06ea367e0eaa54f05a5dcf61c1e44047

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:0023c71fc895801a933dc7beda0c2d736c1cecbb70cad837e49cecb50965b664

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:9a9dd9e688478eb605b7317a16bbd4b13c73f9ebb16f9369beba4e40835b9309

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d22d469a77d1d5ea2cbdd5c27f15073d67b588e4ed154398bcf36ed15bff0f52

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:7eacef2b58688e956e94fc458a15100ec09a9c5e70aa251a5c5e640e8cffd9b1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:316135485e4954b7d3fc1233de92b0a3f42833637fd5baf376ce300051a880c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:e3543512ce27e5254687a24b4b3723f8368c2c9ae2420d0a33fa47a0ee034ee1

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=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:23422b58e4fdde89fe3aaec1510a5f5b0cb153a5703dfe70643b612a567d7a28

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=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:96cf5c22862ab36a6ac6656212ee9a6969c9b2795a1067b6fdbc89b30f9af2bd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:12e19c8e3fa5ebb3af1e98311d8ee6a900e4aec58492792d4d3b5e4e1ab5901d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:144c30da034d0e8a01077a7da9a876d12ad5ccbdf0baa2c96cc973efe2032672

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:041076a6e97b48b43930e20791c54f5eff89543596bf788f6d09ddcdb21a3e4f

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:e1bc21f4818a5b77c72f22b2e08549a2a213e176b4456f447f87a2cabfaa9618

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:d8357c29cd6a54f6736b81625d71a47d4a3e6471a334fc11b3cc4affdb340e83

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:aaa55b00860429bd886bf599ddc7b8fbfc9bf298ef0ebc07d61233800d3d2724

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:cabe035460582e3c4474e7e33418c61f0faacf82f7f7facd5dcddfe60ec65a46

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d67426a1c5b0915f764a2e28766e9e3356c8c158f3c69e7f00bdb7be7a0808b1

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=sha256:804866a13a5f54965349c5fc05f13a558a789925516a4efe3c1c2a9a545381f9

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:c62fbb5b8e44fa1641ba8f229213d626364cc6393bbdead6988fd3b070b5bc7b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:072c774a73bc3208815338c487426bc67216ed7c551287ca019c3de7e6eb28fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:43ac0e85ebe451bb4ab87f90ccd461fcccf76454039cbc4421c4076824e933b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:d16309e8feac81b22b4ed468caf862079a5cd1dfff6df6925d2c353fb938801b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:dd5d502abb54405516b1f27ebcb4517c42cb054ef879c0d6d771bc8d2fee541a

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:5371a9aee55cc4ba8a350547108dae5d87b301a5f09cf2a64296d2f14d217c40

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:f19cf4404dbc850239e96f09e0f0303bd759d84314c4acf8550e425175a79e6b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:73ce6f825cee6c0a65ce4edf563ea3b910e3df78838ae46368429a87fee64762

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:0b8a5bb9c5355d984a7630122fe8fa1bae58e8ed690c2b2dad2d130070e4ae78

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:ee2234737b2eee7318c8dbad526f687cc6adc81b0c1ab23f8653b5f326cc89aa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:7badf17f1db846a4d53a7df412ad50ac3c6341e981adbba1d00474dad048de6c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T04:00:51.707120Z digest=sha256:464c25c1dc4c123416afdd8381957aeb05545687bf227fd21b2eded40369d457

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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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