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Paper Citation Record · LEDGER

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.02176.

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

pith.paper-citation-record.v1
2608.02176 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:24:28.011344Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation 9a73877b-eea5-4443-b0cd-451a41468593 · outbound

This paper cites an unresolved cited work.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-04T13:24:24.445148Z digest=sha256:f90aea8e6819e7858ccbf5184e85c99a2332aa67363dc8f0ba45f12f00d435d1

Observation 9dcfee6e-812e-464a-8037-ada754bf5d7d · outbound

This paper cites Learning a hidden matching.SIAM Journal on Computing (SICOMP), 33(2):487–501, 2004.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning a hidden matching.SIAM Journal on Computing (SICOMP), 33(2):487–501, 2004

Reference 2

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source=pdf_text observed=2026-08-04T13:24:24.523217Z digest=sha256:8c7c4cff27404e8ea96dbe59a186ff401d5199b9c53a50a9077378cc83095ae4

Observation 78a26e9e-c8bf-4d5c-ae80-c25c999bb29c · outbound

This paper cites Learning a hidden hypergraph.Journal of Machine Learning Research (JMLR), 7(79):2215–2236, 2006.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning a hidden hypergraph.Journal of Machine Learning Research (JMLR), 7(79):2215–2236, 2006

Reference 3

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source=pdf_text observed=2026-08-04T13:24:24.593213Z digest=sha256:e545576c491c9e744641e291e4cfb8b808d20b33d92fc55905711187745bca3c

Observation b300740e-03dc-4e29-b074-c0ee43f9965c · outbound

This paper cites Learning a hidden graph usingo(logn) queries per edge.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning a hidden graph usingo(logn) queries per edge

Reference 4

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source=pdf_text observed=2026-08-04T13:24:24.731794Z digest=sha256:382d12746e899e0acb2767dfb5d049aa0a605c30167bc30d7f081fed3bafa0a3

Observation 089e755c-6a61-469b-b2eb-2b4263c4a727 · outbound

This paper cites Clustering with same-cluster queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with same-cluster queries

Reference 5

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source=pdf_text observed=2026-08-04T13:24:24.882734Z digest=sha256:25f28cccbe707c6195df2a445969e6cd825d737f98c88dc609591662f58635cb

Observation ee24d7c9-44ea-423d-ad4b-550a7269257c · outbound

This paper cites Non-adaptive learning of random hypergraphs with queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Non-adaptive learning of random hypergraphs with queries

Reference 6

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source=pdf_text observed=2026-08-04T13:24:24.970450Z digest=sha256:5e19b3292041613a89db206053f5cbd8a459ac070b35f026ce43f69f767b265e

Observation 86cac200-27ac-4055-ba8b-8249ffa9b891 · outbound

This paper cites Learning low degree hypergraphs.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning low degree hypergraphs

Reference 7

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source=pdf_text observed=2026-08-04T13:24:25.063689Z digest=sha256:d9636f543e0ad34b14c0cec0c3642a6876f3be1b4894331d624e86544514e14e

Observation da75b7f1-87eb-4c88-8f93-4101c19f51da · outbound

This paper cites Clustering with non-adaptive subset queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with non-adaptive subset queries

Reference 8

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source=pdf_text observed=2026-08-04T13:24:25.146742Z digest=sha256:2316bee4a867a445dddbbe9f5fc156c452b1e6334fe8951fc7cf0eb3047d3bca

Observation 6adb119d-711b-4722-beb3-526256694c9f · outbound

This paper cites Learning partitions with optimal query and round complexities.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning partitions with optimal query and round complexities

Reference 9

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source=pdf_text observed=2026-08-04T13:24:25.271420Z digest=sha256:9d3d20a3303fb83213a98ed526b02e5329b49318626da55a254c3071881b765e

Observation 9cc88703-c16e-4872-a4df-94919e60151f · outbound

This paper cites Exact recovery of mangled clusters with same-cluster queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Exact recovery of mangled clusters with same-cluster queries

Reference 10

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source=pdf_text observed=2026-08-04T13:24:25.447147Z digest=sha256:28afd30fa72e7fc56ab494f4c1a5c4187c061b464fe5faa47ae1ed2dbb1ba787

Observation 73a6dc69-e46f-4f40-b5c6-30743afb5b39 · outbound

This paper cites Bshouty and Hanna Mazzawi.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Bshouty and Hanna Mazzawi

Reference 11

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source=pdf_text observed=2026-08-04T13:24:25.611558Z digest=sha256:0e8c1637f7eacca478acf31eb5a213e0d221ab3639012fcbd574fee11a330382

Observation 23d6cbc2-c7fa-40ff-92af-d746e5b699fc · outbound

This paper cites Learning partitions using rank queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning partitions using rank queries

Reference 12

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source=pdf_text observed=2026-08-04T13:24:25.759134Z digest=sha256:e7d4bf031f5be4fe625ea4f69998449b29d25ae8c1e21a525bda0d28062ad916

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

This paper cites Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles.

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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source=pdf_text observed=2026-08-04T13:24:25.916838Z digest=sha256:5d2dbae0777042adc239bb000ee26b605f57650b194cfd94470c7998a3ee1f4c

Observation bcee73a2-1a6b-4cdb-a9ff-6aec2446b8f7 · outbound

This paper cites Davidson, Sanjeev Khanna, Tova Milo, and Sudeepa Roy.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Davidson, Sanjeev Khanna, Tova Milo, and Sudeepa Roy

Reference 14

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source=pdf_text observed=2026-08-04T13:24:26.070038Z digest=sha256:d50fbc0743b07d042bafaa03b2d04e1b2fa24dd45d3172f6e8efcba54db0ecb5

Observation d4188a8a-485a-448d-95ff-db75048dde0d · outbound

This paper cites Clustering with queries under semi- random noise.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with queries under semi- random noise

Reference 15

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source=pdf_text observed=2026-08-04T13:24:26.202481Z digest=sha256:fc557def27cbbecf38844ae6c8ccbaa5615302e490697037e6f5cf6af8ca3937

Observation b92c9b88-3f2e-4a60-9805-fa6267b06c7f · outbound

This paper cites Optimal algo- rithms for learning partitions with faulty oracles.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Optimal algo- rithms for learning partitions with faulty oracles

Reference 16

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source=pdf_text observed=2026-08-04T13:24:26.333376Z digest=sha256:f1db90abd1fa6bd9dc120fb2a3c6bcb556b339bba3c6e5989fa364031153b052

Observation 408a3846-dc81-4657-8c96-f9f7d47c996c · outbound

This paper cites Optimal reconstruction of graphs under the addi- tive model.Algorithmica, 28(1):104–124, 2000.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Optimal reconstruction of graphs under the addi- tive model.Algorithmica, 28(1):104–124, 2000

Reference 17

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source=pdf_text observed=2026-08-04T13:24:26.500370Z digest=sha256:540701d235eca58a8c47853cdf82b93075360f0ea5cd8e587e62ffcdb4084429

Observation 699ad8a8-b262-4f3b-b4ca-153cb87f781a · outbound

This paper cites Same-cluster query- ing for overlapping clusters.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Same-cluster query- ing for overlapping clusters

Reference 18

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source=pdf_text observed=2026-08-04T13:24:26.640538Z digest=sha256:c0c0d526ce1bb23d4a576a15e38fa76f140f14edce0e57fe02ee17b7f2a0c8f7

Observation fc758aff-8d05-48a2-94e0-7f500de57706 · outbound

This paper cites Tight query complexity bounds for learning graph partitions.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Tight query complexity bounds for learning graph partitions

Reference 19

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source=pdf_text observed=2026-08-04T13:24:26.816988Z digest=sha256:b1fb5be1fe6b44f1bd83c1f9fb30ac293614434650da990b68ed179561a2524e

Observation 165e34c6-070a-48b0-8342-5f794d0b255f · outbound

This paper cites Clustering with noisy queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with noisy queries

Reference 20

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source=pdf_text observed=2026-08-04T13:24:27.003315Z digest=sha256:5744703bfeb3f9a46993ab90c14e5dc57e6d94c99a1e78ff06bb0790e6ade3c1

Observation 391a8907-727e-46dd-89b7-4186774271c8 · outbound

This paper cites Query complexity of clustering with side information.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Query complexity of clustering with side information

Reference 21

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source=pdf_text observed=2026-08-04T13:24:27.159751Z digest=sha256:7847ecdad719161932cdc3245f8f984f995897e0c473be8a0c62d42514f6105e

Observation 126fea4f-361a-4d5b-aec7-5e1162c780af · outbound

This paper cites A theoretical analysis of first heuristics of crowdsourced entity resolution.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds A theoretical analysis of first heuristics of crowdsourced entity resolution

Reference 22

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source=pdf_text observed=2026-08-04T13:24:27.283080Z digest=sha256:28ff16a30fa6879f631b41a3354d1cba5d8f580cb2b0f5f9349743b99de4a977

Observation 1d491eed-1e0f-4530-8c16-a726e474cebb · outbound

This paper cites Optimally reconstructing weighted graphs using queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Optimally reconstructing weighted graphs using queries

Reference 23

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source=pdf_text observed=2026-08-04T13:24:27.401539Z digest=sha256:7b8f14f0fec56794312a5bfa6539896d7c261c83d5720f75993f60a69ac9b674

Observation ee6505ab-7fcf-4cd4-b6ad-a12430861a7d · outbound

This paper cites Predicting Signed Edges with $O(n^{1+o(1)} \log{n})$ Queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Predicting Signed Edges with $O(n^{1+o(1)} \log{n})$ Queries

Reference 24

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source=pdf_text observed=2026-08-04T13:24:27.562527Z digest=sha256:df068fe0d49ed6f5bf5dcf9e4af9a417df85060042f2aa466d753c6c8925c2b9

Observation f54cec6f-b7e9-427b-b111-4615d14efade · outbound

This paper cites Learning and verifying graphs using queries with a focus on edge counting.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning and verifying graphs using queries with a focus on edge counting

Reference 25

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source=pdf_text observed=2026-08-04T13:24:27.680869Z digest=sha256:de68796a493f3d4c3e270748f31d6195e9ec6614c148802e28d8b48e62914519

Observation 27de4a23-2251-47c6-be57-0c2a1dbc6f34 · outbound

This paper cites Franklin, and Jianhua Feng.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Franklin, and Jianhua Feng

Reference 26

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source=pdf_text observed=2026-08-04T13:24:27.864242Z digest=sha256:96f14dc3a013a837f4e2363721b4b8eaac51c35e5e85d95538d4a3b210a58d2c

Observation 54466fa5-ecf3-412d-9028-dfbc69078c5d · outbound

This paper cites Question selection for crowd entity resolution.Proceedings, Very Large Databases (VLDB), 6(6):349–360, 2013.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Question selection for crowd entity resolution.Proceedings, Very Large Databases (VLDB), 6(6):349–360, 2013

Reference 27

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source=pdf_text observed=2026-08-04T13:24:28.011344Z digest=sha256:54fbeec656924f0743ef2dc4853d676506c368bdfc8ab30ab918ba4c46288ae2

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