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Paper Citation Record · LEDGER

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis

As of 14 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.20139.

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

pith.paper-citation-record.v1
2506.20139 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

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measured 61 of 61 standing notices

One-hop event checks from named stored sources.

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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

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation 02af31dc-3672-4fef-9be4-13e9a4b54d52 · outbound

This paper cites The case for learned index structures,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis The case for learned index structures,

Reference 1

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Observation bdb771b1-a2e2-4e44-94d7-e84c66e034c4 · outbound

This paper cites A model for learned bloom filters and optimizing by sandwiching,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis A model for learned bloom filters and optimizing by sandwiching,

Reference 2

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Observation 21cd9528-f43e-49f7-b9e3-c05ea1f602b9 · outbound

This paper cites Effectively learning spatial indices,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Effectively learning spatial indices,

Reference 3

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This paper cites Benchmarking learned indexes,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Benchmarking learned indexes,

Reference 4

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Observation ef35087d-114b-4061-86c0-fc6fc0cc0399 · outbound

This paper cites Are up- datable learned indexes ready?.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Are up- datable learned indexes ready?

Reference 5

Resolution
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Observation 0e1e9cd9-6eaf-497f-b8eb-ad622464110b · outbound

This paper cites The pgm-index: a fully-dynamic com- pressed learned index with provable worst-case bounds,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis The pgm-index: a fully-dynamic com- pressed learned index with provable worst-case bounds,

Reference 6

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Observation 575b69b7-338e-4498-93e5-d9aafb1b7296 · outbound

This paper cites Deep learning,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Deep learning,

Reference 7

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Observation d3604bc8-9f11-42ed-aa42-e49dd7dc3ea8 · outbound

This paper cites Why are learned indexes so effective?.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Why are learned indexes so effective?

Reference 8

Resolution
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Observation 0cc14ed9-1929-47ef-b3f2-7479ba601bee · outbound

This paper cites Fiting-tree: A data-aware index structure,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Fiting-tree: A data-aware index structure,

Reference 9

Resolution
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Observation 54f9c2db-961a-4c6a-9bc6-aaf6cdbdacad · outbound

This paper cites Learned index with dynamicϵ,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Learned index with dynamicϵ,

Reference 10

Resolution
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Observation 0f6e951f-3591-40a7-91ad-230202a802f9 · outbound

This paper cites From{WiscKey}to bourbon: A learned index for{Log-Structured}merge trees,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis From{WiscKey}to bourbon: A learned index for{Log-Structured}merge trees,

Reference 11

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Observation 4880f089-7e4c-4391-9008-0af99a7bcf58 · outbound

This paper cites Lhist: towards learning multi-dimensional histogram for massive spatial data,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Lhist: towards learning multi-dimensional histogram for massive spatial data,

Reference 12

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Observation df400952-37a9-4652-ac22-5d61acb15256 · outbound

This paper cites HAP: an efficient hamming space index based on augmented pigeonhole principle,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis HAP: an efficient hamming space index based on augmented pigeonhole principle,

Reference 13

Resolution
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Observation 4cfaae92-e863-41e7-ab0b-ccc499fa31ab · outbound

This paper cites Bittuner: A toolbox for automatically configuring learned data compressors,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Bittuner: A toolbox for automatically configuring learned data compressors,

Reference 14

Resolution
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Observation 219e969c-3537-49f7-ab3e-8692ef6406ee · outbound

This paper cites Learned Data Compression: Challenges and Opportunities for the Future.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Learned Data Compression: Challenges and Opportunities for the Future

Reference 15

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Observation 39548bff-e7d9-43d4-9263-eca9e5a572e6 · outbound

This paper cites Organization and maintenance of large ordered indices,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Organization and maintenance of large ordered indices,

Reference 16

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Observation 1431ee05-61b4-4748-803d-abf3c50c354b · outbound

This paper cites An on-line algorithm for fitting straight lines between data ranges,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis An on-line algorithm for fitting straight lines between data ranges,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 21529dff-f44c-4d02-bb70-acd7f7fe8cec · outbound

This paper cites Maximum error- bounded piecewise linear representation for online stream approxima- tion,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Maximum error- bounded piecewise linear representation for online stream approxima- tion,

Reference 18

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Source-reported events for the cited work

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Observation f8fcbe14-878c-4dda-b129-c292771ef943 · outbound

This paper cites Piece-wise linear approximations,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Piece-wise linear approximations,

Reference 19

Resolution
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Observation 12a645df-503e-4c71-a333-65a0c93e9798 · outbound

This paper cites Time series compression survey,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Time series compression survey,

Reference 20

Resolution
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Source-reported events for the cited work

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This paper cites Online piece-wise linear approximation of numerical streams with precision guarantees,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Online piece-wise linear approximation of numerical streams with precision guarantees,

Reference 21

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Observation 03bdb10e-c0ca-4951-8487-0bec03747e38 · outbound

This paper cites A learned approach to design compressed rank/select data structures,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis A learned approach to design compressed rank/select data structures,

Reference 22

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Observation 9d140f6a-c5c4-4313-81f3-c331e6404f45 · outbound

This paper cites Techniques for inverted index compres- sion,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Techniques for inverted index compres- sion,

Reference 23

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This paper cites Handbook of stochastic methods for physics, chemistry and the natural sciences,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Handbook of stochastic methods for physics, chemistry and the natural sciences,

Reference 24

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Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Redner,A guide to first-passage processes

Reference 25

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Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Unresolved cited work

Reference 26

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Observation f1919009-67c5-495c-9847-6ac7bae1477d · outbound

This paper cites Entropic central limit theorem for order statistics,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Entropic central limit theorem for order statistics,

Reference 27

Resolution
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Unavailable: canonical work link unavailable.

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Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Fast parallel operations on search trees,

Reference 28

Resolution
verified fuzzy
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Observation 407bafe7-7501-4976-98f0-7d4c5efb1768 · outbound

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Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis PGM-Index,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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This paper cites STX B+ Tree C++ template classes,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis STX B+ Tree C++ template classes,

Reference 30

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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 Benchmarking learned indexes,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Benchmarking learned indexes,

Reference 31

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

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Observation bdcd44d5-dd04-43f4-8a09-fa277103457f · outbound

This paper cites Efficiently searching in-memory sorted arrays: Revenge of the interpolation search?.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Efficiently searching in-memory sorted arrays: Revenge of the interpolation search?

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Openstreetmap,

Reference 33

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Source-reported events for the cited work

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

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Observation c5145e1d-83c7-43e1-8425-f65f5fb723db · outbound

This paper cites Why Are Learned Indexes So Effective but Sometimes Ineffective?.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Why Are Learned Indexes So Effective but Sometimes Ineffective?

Reference 34

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dac7f0b4-ccee-47a2-b870-85b72d820ab5 · outbound

This paper cites Adaptive sequential segmentation of piecewise stationary time series,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Adaptive sequential segmentation of piecewise stationary time series,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:42.594743Z

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=2026-08-06T23:05:28.774763Z digest=sha256:8c2c2f3c6eebd9bcad3398f2a08f8961ed4b5099b7265b2778524d66a8bceaa4

Observation 8f2eda58-7238-4a45-9d4e-8fc7dbfa41bb · outbound

This paper cites On the approximation of curves by line segments using dynamic programming,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis On the approximation of curves by line segments using dynamic programming,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:42.224741Z

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=2026-08-06T23:05:28.874752Z digest=sha256:6db09a26aa8029c8ebc258eaaaa2054b464f302d82d1be0f81e6c148d1aac585

Observation af6a2d72-8b4c-4d28-94ad-1935595713de · outbound

This paper cites Computing unrestricted synopses under maximum error bound,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Computing unrestricted synopses under maximum error bound,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:41.876807Z

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=2026-08-06T23:05:29.004927Z digest=sha256:7ed8531c3160d7c94a59b9a533bd7edefe869f592720689db51f2d04853a2322

Observation ed8ed14d-a34c-40cd-909d-5ccf841d11a7 · outbound

This paper cites Wavelet synopses for general error metrics,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Wavelet synopses for general error metrics,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:41.532258Z

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=2026-08-06T23:05:29.134753Z digest=sha256:785614b652af047e021b1e4b217c60e856539e576cd3612c4bc30ba3fa5fa5cb

Observation f4077965-cba8-40dd-8545-ee6d13f791fc · outbound

This paper cites An online pla algorithm with maximum error bound for generating optimal mixed- segments,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis An online pla algorithm with maximum error bound for generating optimal mixed- segments,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:41.166292Z

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=2026-08-06T23:05:29.231312Z digest=sha256:0483f6a4a4c8ca3b9319a1c9faf076f0501601715110cfbfb1bf55a9c51f81c8

Observation b65e96cc-3175-4e7b-92dc-16ded76169f5 · outbound

This paper cites Efficient algorithms for sequence segmen- tation,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Efficient algorithms for sequence segmen- tation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:40.802957Z

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=2026-08-06T23:05:29.334752Z digest=sha256:d04bbba17551ed180186b02e8d49ab4ef844311df2be0a599e1d1fb2f63d3943

Observation a67b746c-7b9e-4132-85a8-9f9edd84ba3a · outbound

This paper cites Optimal segmented linear re- gression for financial time series segmentation,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Optimal segmented linear re- gression for financial time series segmentation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:40.408072Z

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=2026-08-06T23:05:29.424748Z digest=sha256:ea5865770c93ddab68cefaf53765a7835117bd660c58eda5c49be05760359c8c

Observation 4179b43f-ca7b-4d7b-89bd-0cb041dbb3ab · outbound

This paper cites Segmenting time series: A survey and novel approach,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Segmenting time series: A survey and novel approach,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:40.121573Z

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=2026-08-06T23:05:29.474218Z digest=sha256:dd5236b7bb81825da69d92b6e3f840fc196d215682da34c9acec795132f40ea1

Observation 05072a64-0bbe-465f-88cf-fd94f5887c3a · outbound

This paper cites Novel online methods for time series segmentation,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Novel online methods for time series segmentation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:39.885511Z

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=2026-08-06T23:05:29.596476Z digest=sha256:a700c80cc81316d151e261d60cedee05a2719e90deec24d2ed9610d4e020e924

Observation fb679426-3e79-4af9-b62a-dfc4ccf19304 · outbound

This paper cites A novel segmentation and representation approach for streaming time series,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis A novel segmentation and representation approach for streaming time series,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:39.623496Z

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=2026-08-06T23:05:29.704740Z digest=sha256:70294e425b917823fdbe1efbf31fa9c53cb395424c1e8410f96bdc75be2ac644

Observation d01e76b3-20cd-498f-ac65-da27e2eb24ae · outbound

This paper cites A novel bounded-error piece- wise linear approximation algorithm for streaming sensor data in edge computing,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis A novel bounded-error piece- wise linear approximation algorithm for streaming sensor data in edge computing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:39.226728Z

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=2026-08-06T23:05:29.834847Z digest=sha256:a425c2f099a995a4b44aa246aaffbbf722465483d4c6bfeb6162909dbd213e08

Observation addf9096-0450-41f0-8dd5-f1563d6cbad9 · outbound

This paper cites Ubiquitous b-tree,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Ubiquitous b-tree,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:38.871333Z

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=2026-08-06T23:05:29.944749Z digest=sha256:0159bb369a5a13cef6bb1e161c2a27b704d0f88bb56f23c4eebafdf43a2346a2

Observation 7bfde45e-d7ea-4c8c-9a14-9321518c36cd · outbound

This paper cites Fast: fast architecture sensitive tree search on modern cpus and gpus,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Fast: fast architecture sensitive tree search on modern cpus and gpus,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:38.646373Z

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=2026-08-06T23:05:30.036336Z digest=sha256:3d7b980a29d2a1b529b9ef5b331de40661ee2e783ed688ca38d888b175098fec

Observation a03b3877-8051-4808-8207-1053831d268a · outbound

This paper cites Wormhole: A fast ordered index for in- memory data management,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Wormhole: A fast ordered index for in- memory data management,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:38.399393Z

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=2026-08-06T23:05:30.125183Z digest=sha256:0360956836de30d90fc5d180f0a393bbd033c01cada0e43b24584f5dd77f5a47

Observation 2414cafb-462d-4240-90c9-18502d15d222 · outbound

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

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Alex: an updatable adaptive learned index,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:38.124761Z

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=2026-08-06T23:05:30.307097Z digest=sha256:c2ba9724dd028251965188c913ed3437b5cd4739f21405f709fe32d10d38dfb5

Observation 56f4043a-7f79-4daa-867e-38101ce66e7e · outbound

This paper cites Xindex: a scalable learned index for multicore data storage,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Xindex: a scalable learned index for multicore data storage,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:37.885301Z

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=2026-08-06T23:05:30.520951Z digest=sha256:948cd0509f38ceb15c0e9baa5869ae2cec3984ed8212b985bc261b2b8700948b

Observation 55b32654-f766-4920-9dad-0d4acb5d81f4 · outbound

This paper cites Finedex: a fine-grained learned index scheme for scalable and concurrent memory systems,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Finedex: a fine-grained learned index scheme for scalable and concurrent memory systems,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:37.455376Z

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=2026-08-06T23:05:30.595447Z digest=sha256:ab5dffcead529a3e6053353084674441c936680493f641a071f6776401c581f9

Observation d9cef330-38a3-4baa-a0cd-3b2e92a6e836 · outbound

This paper cites G-learned index: Enabling efficient learned index on gpu,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis G-learned index: Enabling efficient learned index on gpu,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:37.108568Z

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=2026-08-06T23:05:30.725937Z digest=sha256:eed38c0fe63a0c490af158b873edfee90ac8e5c3e067a503f8eed01c1ee3ae05

Observation 7416bc0a-7261-4ee7-9a92-c9e7e3153c14 · outbound

This paper cites Carmi: a cache-aware learned index with a cost- based construction algorithm,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Carmi: a cache-aware learned index with a cost- based construction algorithm,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:36.734937Z

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=2026-08-06T23:05:30.823555Z digest=sha256:8fe8cb7ac3573e593bcb9e96dcde25548c597429440468312327049a4bc299fb

Observation 8f0aa1bb-556b-43dc-baff-cd81d7429091 · outbound

This paper cites Making in-memory learned indexes efficient on disk,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Making in-memory learned indexes efficient on disk,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:36.314744Z

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=2026-08-06T23:05:30.935379Z digest=sha256:d5eb727d64dd5cb81ccf612606223ba310c636d55b2664ad3462a3e87b9a8eac

Observation 9f50dbaa-33bf-427d-9edc-2059b830fb7d · outbound

This paper cites Ferragina, Paoloand Vinciguerra,Learned Data Structures.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Ferragina, Paoloand Vinciguerra,Learned Data Structures

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:35.765241Z

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=2026-08-06T23:05:31.094213Z digest=sha256:2bcf7b62c6460d3c1acbb7ca23e516b3a236c388c4adac38e8d01c9e0307390a

Observation cf3ec6a0-24d5-41be-94bd-3fabee1451b0 · outbound

This paper cites Semantic hashing,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Semantic hashing,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:35.440591Z

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=2026-08-06T23:05:31.311140Z digest=sha256:58d2194a8c6d98a82a321ebd0ba826faeef82d667bb384a13b5d97aee1330fed

Observation 74a5314e-3e55-480b-9af2-14cfa53d4057 · outbound

This paper cites Spectral hashing,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Spectral hashing,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:35.037367Z

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=2026-08-06T23:05:31.474747Z digest=sha256:11270d43574529d0875630b789c8cf5818d8285b98320308fb5a38dc56e5a1ad

Observation 46746005-3212-4a14-ba51-dbac4a2d074f · outbound

This paper cites A model for learned bloom filters, and optimizing by sandwiching,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis A model for learned bloom filters, and optimizing by sandwiching,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:34.654757Z

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=2026-08-06T23:05:31.618889Z digest=sha256:64b3fcb5ed60a11606333bdf33efb729acc7701df093f99149e9fca3813680cb

Observation 0d10c841-232c-470a-a044-4aff869904c9 · outbound

This paper cites Meta-learning neural bloom filters,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Meta-learning neural bloom filters,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:34.324745Z

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=2026-08-06T23:05:31.744746Z digest=sha256:9e3112a9d9e75a7cb249624d347b8dd7346a33e3d6658d1a2665892cc82734dd

Observation bf948639-5def-4183-875c-e30b5984d7e6 · outbound

This paper cites Stable learned bloom filters for data streams,.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Stable learned bloom filters for data streams,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:33.934760Z

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=2026-08-06T23:05:31.854759Z digest=sha256:e251d4efb04fea0b001ab794ba13698819ef6a492f7a81c03e0f426953d7b0c4

Observation 780801a3-fe50-4c5d-be11-b93ded43ce16 · outbound

This paper cites Learning-based fre- quency estimation algorithms.

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis Learning-based fre- quency estimation algorithms

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:05:33.474750Z

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=2026-08-06T23:05:32.024999Z digest=sha256:585dad41dd912775ed87f2a652283762eaf0ea3240196a8f165904b3ed27ac25

Pith citing papers

No inbound Pith citation observations are available.