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Paper Citation Record · LEDGER

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2502.09937.

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

pith.paper-citation-record.v1
2502.09937 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:05:46.362166Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7eee7592-23ae-45e7-bd00-39b151927d88 · outbound

This paper cites Machine learning for databases: Foundations, paradigms, and open problems,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Machine learning for databases: Foundations, paradigms, and open problems,

Reference 1

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This paper cites The case for learned index structures,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The case for learned index structures,

Reference 2

Resolution
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This paper cites The pgm-index,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The pgm-index,

Reference 3

Resolution
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Observation ed3778cf-5342-4951-b4b6-c31a89d61612 · outbound

This paper cites Alex: an updatable adaptive learned index,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Alex: an updatable adaptive learned index,

Reference 4

Resolution
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Observation e9fb4b81-abc6-4e0a-94be-dc8265e11420 · outbound

This paper cites Updatable learned index with precise positions,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Updatable learned index with precise positions,

Reference 5

Resolution
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This paper cites Sagedb: A learned database system,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Sagedb: A learned database system,

Reference 6

Resolution
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Observation 63737a02-0a5f-4d84-b1f7-e60ee25523ef · outbound

This paper cites A tutorial on learned multi- dimensional indexes,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A tutorial on learned multi- dimensional indexes,

Reference 7

Resolution
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Source-reported events for the cited work

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Observation a8d86eb5-dcf3-46de-8475-88f87b6cdd47 · outbound

This paper cites How Good Are Multi-dimensional Learned Indices? An Experimental Survey.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree How Good Are Multi-dimensional Learned Indices? An Experimental Survey

Reference 8

Resolution
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Observation 4947c550-7e33-4dee-aaf1-83fa1ff6ef55 · outbound

This paper cites A survey of multi-dimensional indexes: Past and future trends,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A survey of multi-dimensional indexes: Past and future trends,

Reference 9

Resolution
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Observation 46867bf5-4e59-4db5-b54f-2eaba41bb276 · outbound

This paper cites A Survey of Learned Indexes for the Multi-dimensional Space.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A Survey of Learned Indexes for the Multi-dimensional Space

Reference 10

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Source-reported events for the cited work

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Observation 34d3d65c-5496-4f10-90e7-432b1439f7f4 · outbound

This paper cites Accelerating b+ tree search by using simple machine learning techniques,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Accelerating b+ tree search by using simple machine learning techniques,

Reference 11

Resolution
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Observation 7caece08-a701-470a-b622-0f058f82a7f7 · outbound

This paper cites From wisckey to bourbon: A learned index for log-structured merge trees,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree From wisckey to bourbon: A learned index for log-structured merge trees,

Reference 12

Resolution
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Observation 272a6a45-3c66-4b06-b8b2-90b3d395d2c3 · outbound

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree R-trees: A dynamic index structure for spatial searching,

Reference 13

Resolution
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Source-reported events for the cited work

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This paper cites Ubiquitous b-tree,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Ubiquitous b-tree,

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 047c75dd-ab48-4fd8-a281-33b08dae9710 · outbound

This paper cites Manolopoulos, A.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Manolopoulos, A

Reference 15

Resolution
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Source-reported events for the cited work

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Observation d8658bd2-2876-4f38-9f8d-83a0bde2fcc7 · outbound

This paper cites Lisa: A learned index structure for spatial data,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Lisa: A learned index structure for spatial data,

Reference 16

Resolution
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Observation d90234f2-b3cf-421b-8ed8-ac3834f41344 · outbound

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Multilabel classification,

Reference 17

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Observation 407e8efe-cffd-408d-b6a6-b5aa4fd76923 · outbound

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The “ai + r

Reference 18

Resolution
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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Data classification,

Reference 19

Resolution
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Source-reported events for the cited work

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The handwritten trie: Indexing electronic ink,

Reference 20

Resolution
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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Unresolved cited work

Reference 21

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Algorithms for hyper- parameter optimization,

Reference 22

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Random forests,

Reference 23

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Source-reported events for the cited work

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A tutorial on multilabel learning,

Reference 24

Resolution
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Source-reported events for the cited work

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Induction of decision trees,

Reference 25

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Scikit-multilearn: a scikit-based python environment for performing multi-label classification,

Reference 26

Resolution
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Source-reported events for the cited work

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Scikit-learn: Machine learning in Python,

Reference 27

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Xgboost: A scalable tree boosting system,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A tailored regression for learned indexes: Logarithmic error regression,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree On the suitability of neural networks as building blocks for the design of efficient learned indexes,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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This paper cites Neural networks as building blocks for the design of efficient learned indexes,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Neural networks as building blocks for the design of efficient learned indexes,

Reference 31

Resolution
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Source-reported events for the cited work

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree On nonlinear learned string indexing,

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Pytorch module for loss functions,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c25c250d-af1c-455a-8dd4-3c249b843c61 · outbound

This paper cites Learning multi- dimensional indexes,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Learning multi- dimensional indexes,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 36e10d38-6a10-42df-a276-d6ba6581f544 · outbound

This paper cites Learning over sets for databases,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Learning over sets for databases,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.819794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.255465Z digest=sha256:df0a65128d94ea6755dda62f73e23b9a2f0ffc9812b053b812d93ea0396c6483

Observation 0d611a93-b890-40e4-a01d-6dc4b8799ae2 · outbound

This paper cites Ucr-star: The ucr spatio-temporal active repository,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Ucr-star: The ucr spatio-temporal active repository,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.804002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.259749Z digest=sha256:c977d0992267552f005a41dfef731975a1261af138118a86cdab73920f9cbc07

Observation c6b9dca5-e361-4b37-89e2-355598be981b · outbound

This paper cites Indexing recent trajectories of moving objects,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Indexing recent trajectories of moving objects,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.788278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.264206Z digest=sha256:977cffff1703055a774f3f0118a6abc0b19242386f4eb9796a20dfa4ee24b8f0

Observation 3d5f87b0-8815-415a-9abb-f8893b1df819 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Pytorch: An imperative style, high-performance deep learning library,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T20:05:46.268712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:05:46.268712Z digest=sha256:688490b7982538dfb19342c288a7decdde4c53f7eb7c5b0be999cff56f349689

Observation 361d0a35-4c81-465e-81dd-677b7f989dbf · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Adam: A Method for Stochastic Optimization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T20:05:46.273082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:05:46.273082Z digest=sha256:d09b149a756d8821ae66ec3178b382297ed0e2569f14c1855c7acb14b3f7f99b

Observation 7683493b-b0c6-4613-9be3-c1a9a9c564ee · outbound

This paper cites The r+-tree: A dynamic index for multi-dimensional objects.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The r+-tree: A dynamic index for multi-dimensional objects

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.761335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.277933Z digest=sha256:9b608f5cb2d775660748ca5f0c91662e2eda860c7934dfd19f6f0797c578dbea

Observation e81325be-42ee-4dcf-b3a3-03d7eed32e76 · outbound

This paper cites The r*- tree: an efficient and robust access method for points and rectangles,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The r*- tree: an efficient and robust access method for points and rectangles,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.745464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.282474Z digest=sha256:1220a5ada7363b002b222e790cfe86e38de5549c5bea99a59546db79f4dc99f4

Observation 3a7494fe-b2fe-4c46-9785-441af43655ed · outbound

This paper cites A revised r*-tree in comparison with related index structures,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A revised r*-tree in comparison with related index structures,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.729946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.287060Z digest=sha256:aa9de423515a420fbdc9a49ea87f96d04e9ea17b3658a291734fe23b0bd8464e

Observation 753485b0-ee56-4183-a393-9f1f2d058741 · outbound

This paper cites Samet, Foundations of multidimensional and metric data structures.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Samet, Foundations of multidimensional and metric data structures

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.714047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.291782Z digest=sha256:eb6b573c41978a8adb139e3652d2eb993f5f160788dcab79df3f5e86ec15b433

Observation 033ad25b-c0ff-4869-8756-108f015357a8 · outbound

This paper cites Improv- ing spatial data processing by clipping minimum bounding boxes,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Improv- ing spatial data processing by clipping minimum bounding boxes,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.698499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.296994Z digest=sha256:ee0afa43afd86e13b2564eaee8147be71568f952048655de663a9346d258bb26

Observation 179db2c9-d6f0-47e9-b0ba-2d231b9f4a7d · outbound

This paper cites The priority r-tree: A practically efficient and worst-case optimal r-tree,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The priority r-tree: A practically efficient and worst-case optimal r-tree,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.682991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.301792Z digest=sha256:fe91107017fc5136a9c189915e0887e8551d457090e799d7c4a36b4b3233455f

Observation 183c252c-a0d0-4807-a99a-043605180ea4 · outbound

This paper cites Hilbert r-tree: An improved r-tree using fractals,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Hilbert r-tree: An improved r-tree using fractals,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.667311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.306487Z digest=sha256:181e8220e4c0237f16e042c9b859fbfe1f17d756a58bd6f02bb33298028dd284

Observation 26fac2cd-3b8b-4ab0-9efa-17e9322e02a6 · outbound

This paper cites A Reinforcement Learning Based R-Tree for Spatial Data Indexing in Dynamic Environments.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree A Reinforcement Learning Based R-Tree for Spatial Data Indexing in Dynamic Environments

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:05:46.437520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.311121Z digest=sha256:a7047867cf2d7ac44a8ad5cad84f6f04e25c7af23e7ab4f151b3ccd91af41d11

Observation d1375940-f264-45cd-8f79-431d804e330b · outbound

This paper cites Platon: Top-down r-tree packing with learned partition policy,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Platon: Top-down r-tree packing with learned partition policy,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.650941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.316746Z digest=sha256:ff5985184af487253e2916109f50d7815f3c513230f4cedc177ea259796901e4

Observation 5a4bed2d-14ef-497f-84c1-e877ce942900 · outbound

This paper cites Acr-tree: Constructing r-trees using deep reinforcement learning,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Acr-tree: Constructing r-trees using deep reinforcement learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.634883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.321453Z digest=sha256:d4aa44056431ad4acdb682a69c028c2bab9abd487bea100d75d35c55a5711794

Observation 82ecc769-701a-4e21-b403-069e9517fde6 · outbound

This paper cites Hands-off model integration in spatial index structures,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Hands-off model integration in spatial index structures,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.618997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.326769Z digest=sha256:65f4a7ffefa5100f42f88978ea5766fa52b79e97a564f25e641e2bc84b4e6ef3

Observation 6bc72cab-f3eb-40a6-8ff0-53b25bd9a2b3 · outbound

This paper cites The Case for Learned Spatial Indexes.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The Case for Learned Spatial Indexes

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:05:46.412346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.331583Z digest=sha256:0b5f35dfe0576c42256a0bed5892e8beb37c1688e79b08c7bb13246d7f9e9e5c

Observation c8fef840-9995-4c1f-a8ff-a852e4773141 · outbound

This paper cites The case for ml- enhanced high-dimensional indexes,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree The case for ml- enhanced high-dimensional indexes,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.603128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.337158Z digest=sha256:2517a6cdbf5a47b7d45915bb455099c6740daab79a6bfa49ad126604757e3ecd

Observation b187cf15-e7b9-47a9-99d2-d79d3b30b0c8 · outbound

This paper cites Limou- sine: Blending learned and classical indexes to self-design larger-than- memory cloud storage engines,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Limou- sine: Blending learned and classical indexes to self-design larger-than- memory cloud storage engines,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.586100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.341995Z digest=sha256:29a2a7d009054b555b26845ea5ee6747f9743997d225bc2904f6c4957c4d1953

Observation 8f227e5c-e24e-43b6-90f7-bc99d274b812 · outbound

This paper cites Unsupervised space partition- ing for nearest neighbor search,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Unsupervised space partition- ing for nearest neighbor search,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.570399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.346914Z digest=sha256:12657548151d82293b81330d90668129b9064c2e9300bc94f2a055158d648082

Observation 6776e740-a02b-45ec-8658-7099a232a7a2 · outbound

This paper cites Two is better than one: The case for 2-tree for skewed data sets,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Two is better than one: The case for 2-tree for skewed data sets,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.555246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.351555Z digest=sha256:776540ffbda1139dba9f0aced3a65cfd6031da34545334abbd93ff594bdfdc4a

Observation 4d9c479f-752b-4a35-a1f7-82a1e05bf348 · outbound

This paper cites Similarity indexing with the ss-tree,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Similarity indexing with the ss-tree,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.539120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.356422Z digest=sha256:da25f08588c89dbd46fceedfde2da985a0fc3910c16b102925e51ab111d8683b

Observation 92baf306-d47a-4d1b-be30-ec0d6e85499a · outbound

This paper cites Machine unlearning in learned databases: An experimental analysis,.

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree Machine unlearning in learned databases: An experimental analysis,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:05:46.523227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T20:05:46.362166Z digest=sha256:28a13c411290ecd2a32636a947e0bcff25e16d9815ec8403a43b9c43423decce

Pith citing papers

No inbound Pith citation observations are available.