Paper Citation Record · LEDGER

Learned LSM-trees: Two Approaches Using Learned Bloom Filters

As of 18 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2508.00882.

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

pith.paper-citation-record.v1
2508.00882 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:03.895253Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

9 of 9 outbound references displayed

verified exact0
verified fuzzy6
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d378f10a-1864-4514-b00d-3d0e58ead555 · outbound

This paper cites Space/time trade-offs in hash coding with allowable errors.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Space/time trade-offs in hash coding with allowable errors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:03.804499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62a60f60-c0c5-4dda-acec-66283a710396 · outbound

This paper cites Ada-bf: Adaptive bloom filter with learned model.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Ada-bf: Adaptive bloom filter with learned model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:04.237076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38870f40-fdc7-4d2d-bf15-630e6bca12c9 · outbound

This paper cites Monkey: Optimal navigable key-value store.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Monkey: Optimal navigable key-value store

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:04.206078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5987f01-ffad-4397-bfaf-ae4466ef00e4 · outbound

This paper cites Learned cardinalities: Estimating correlated joins with deep learning.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Learned cardinalities: Estimating correlated joins with deep learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:04.149153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bc91ed7-6619-4fd9-9bd1-49133b666b76 · outbound

This paper cites The case for learned index structures.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters The case for learned index structures

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:04.111506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c66e2ba1-5060-4f87-8722-869a0e53a051 · outbound

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

Learned LSM-trees: Two Approaches Using Learned Bloom Filters A model for learned bloom filters and optimizing by sandwiching

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:04.084231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f974e7eb-8bb4-4c6e-ba2d-d7220c2a953d · outbound

This paper cites Algorithms with Predictions.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Algorithms with Predictions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:03.870747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e57457e-ce0e-4331-9294-3e22656ddee5 · outbound

This paper cites Abelian subgroups, nilpotent subgroups, and the largest character degree of a finite group.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Abelian subgroups, nilpotent subgroups, and the largest character degree of a finite group

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:43:04.001184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64d1d491-0eba-4a3c-ae58-80fbb70280e9 · outbound

This paper cites Learning to index for nearest neighbor search.

Learned LSM-trees: Two Approaches Using Learned Bloom Filters Learning to index for nearest neighbor search

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:04.063636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.