Paper Citation Record · LEDGER

Neuro-Symbolic Query Optimization in Knowledge Graphs

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2411.14277.

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

pith.paper-citation-record.v1
2411.14277 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:22:21.371619Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

44 of 44 outbound references displayed

verified exact6
verified fuzzy34
unresolved3
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90cabc52-6a86-45f8-98f1-8999df987b6f · outbound

This paper cites An overview of query optimization in relational systems.

Neuro-Symbolic Query Optimization in Knowledge Graphs An overview of query optimization in relational systems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.136212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0403db07-0064-49de-a5b4-88b2314a0139 · outbound

This paper cites On the optimal nesting order for computing n-relational joins.

Neuro-Symbolic Query Optimization in Knowledge Graphs On the optimal nesting order for computing n-relational joins

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.122819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b0986e7-41bc-472f-944c-40995c61c407 · outbound

This paper cites Adaptive query processing.

Neuro-Symbolic Query Optimization in Knowledge Graphs Adaptive query processing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.109092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6e82151-2fe1-484e-a6ab-08545f19d48f · outbound

This paper cites ANAPSID: an adaptive query processing engine for SPARQL endpoints.

Neuro-Symbolic Query Optimization in Knowledge Graphs ANAPSID: an adaptive query processing engine for SPARQL endpoints

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.092212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87839127-dade-4ce2-b7cd-308b0352177c · outbound

This paper cites Networks of linked data eddies: An adaptive web query processing engine for RDF data.

Neuro-Symbolic Query Optimization in Knowledge Graphs Networks of linked data eddies: An adaptive web query processing engine for RDF data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.074347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce9832fd-c38b-429e-ad0f-2b8041f671eb · outbound

This paper cites Using EXPLAIN; 2024.

Neuro-Symbolic Query Optimization in Knowledge Graphs Using EXPLAIN; 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.053209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 756b7340-6822-4ffd-9a7a-8fe50a1b3158 · outbound

This paper cites Query optimization.

Neuro-Symbolic Query Optimization in Knowledge Graphs Query optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.041474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 62c2118b-f43b-4a02-9e79-fb6a28d15e8f · outbound

This paper cites Learned cardinality estimation: a design space exploration and a comparative evaluation.

Neuro-Symbolic Query Optimization in Knowledge Graphs Learned cardinality estimation: a design space exploration and a comparative evaluation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T15:22:21.229786Z

Source-reported events for the cited work

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Observation 74259a70-601f-4da8-ac63-fd3fca127ed1 · outbound

This paper cites Learned Query Optimizer: What is New and What is Next.

Neuro-Symbolic Query Optimization in Knowledge Graphs Learned Query Optimizer: What is New and What is Next

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.029732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17ce2446-7847-4511-9bbb-2d2cd9bf9688 · outbound

This paper cites An end-to-end learning-based cost estimator.

Neuro-Symbolic Query Optimization in Knowledge Graphs An end-to-end learning-based cost estimator

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.017013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5497f2ad-cf0a-4ff8-b382-78d6285a8f6e · outbound

This paper cites Selectivity estimation for range predicates using lightweight models.

Neuro-Symbolic Query Optimization in Knowledge Graphs Selectivity estimation for range predicates using lightweight models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:22.004125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b3bb9b9-1ee9-4138-b34c-4dfc960fb4f5 · outbound

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

Neuro-Symbolic Query Optimization in Knowledge Graphs Learned cardinalities: Estimating correlated joins with deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.991791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a19dca13-4205-4637-bdb8-2ff5ae39047d · outbound

This paper cites An empirical analysis of deep learning for cardinality estimation.

Neuro-Symbolic Query Optimization in Knowledge Graphs An empirical analysis of deep learning for cardinality estimation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.977391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4c236f2-4949-44d5-a67d-83f49fa6928a · outbound

This paper cites Learned cardinality estimation: An in-depth study.

Neuro-Symbolic Query Optimization in Knowledge Graphs Learned cardinality estimation: An in-depth study

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.965421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 15135a18-f491-416a-b732-54ef6c0721ed · outbound

This paper cites Deepdb: Learn from data, not from queries! arXiv preprint arXiv:190900607.

Neuro-Symbolic Query Optimization in Knowledge Graphs Deepdb: Learn from data, not from queries! arXiv preprint arXiv:190900607

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.950568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8075e45-db60-4ab4-afed-5f9f820a3ef0 · outbound

This paper cites Deep unsupervised cardinality estimation.

Neuro-Symbolic Query Optimization in Knowledge Graphs Deep unsupervised cardinality estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.937294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cca2e526-a6ea-4211-b03c-dbbc3467d0dd · outbound

This paper cites Deep learning models for selectivity estimation of multi-attribute queries.

Neuro-Symbolic Query Optimization in Knowledge Graphs Deep learning models for selectivity estimation of multi-attribute queries

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.925294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3ca0bb5-aef2-4c1d-93f8-88f50f401980 · outbound

This paper cites Are we ready for learned cardinality estimation? arXiv preprint arXiv:201206743.

Neuro-Symbolic Query Optimization in Knowledge Graphs Are we ready for learned cardinality estimation? arXiv preprint arXiv:201206743

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.912807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16880a57-b123-4550-a5c9-c8d277d0ae27 · outbound

This paper cites A neural networks approach for query cost evaluation.

Neuro-Symbolic Query Optimization in Knowledge Graphs A neural networks approach for query cost evaluation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.900057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9cdcd44d-9270-4b76-8f76-a9adafc23493 · outbound

This paper cites Neo: A learned query optimizer.

Neuro-Symbolic Query Optimization in Knowledge Graphs Neo: A learned query optimizer

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.880268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b5cd082-2944-423a-a91f-67ff49d29a9e · outbound

This paper cites A survey on advancing the dbms query optimizer: Cardinality estimation, cost model, and plan enumeration.

Neuro-Symbolic Query Optimization in Knowledge Graphs A survey on advancing the dbms query optimizer: Cardinality estimation, cost model, and plan enumeration

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.866129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 247bc7fa-e7c2-43cf-b131-d493073c5c85 · outbound

This paper cites Plan-structured deep neural network models for query performance pre- diction.

Neuro-Symbolic Query Optimization in Knowledge Graphs Plan-structured deep neural network models for query performance pre- diction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.851950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9fe24c5-4e43-4cb5-89ea-5f923895a3f2 · outbound

This paper cites Rethinking Learned Cost Models: Why Start from Scratch? Proceedings of the ACM on Management of Data.

Neuro-Symbolic Query Optimization in Knowledge Graphs Rethinking Learned Cost Models: Why Start from Scratch? Proceedings of the ACM on Management of Data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.839413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28ea2a9b-4c43-4c61-807e-0e1db6719584 · outbound

This paper cites Learning to optimize join queries with deep reinforcement learning.

Neuro-Symbolic Query Optimization in Knowledge Graphs Learning to optimize join queries with deep reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.827434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1415bc5b-e58c-4809-86c4-a4dc9daf1449 · outbound

This paper cites RL QOptimizer: A Reinforcement Learning Based Query Optimizer.

Neuro-Symbolic Query Optimization in Knowledge Graphs RL QOptimizer: A Reinforcement Learning Based Query Optimizer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.806626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 722ac540-fcd5-4cb3-92e9-4a6db9bfe654 · outbound

This paper cites Join query optimization with deep reinforcement learning algorithms.

Neuro-Symbolic Query Optimization in Knowledge Graphs Join query optimization with deep reinforcement learning algorithms

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.791814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2df5400d-73d7-45f2-9cad-92852230e173 · outbound

This paper cites Deep reinforcement learning for join order enumeration.

Neuro-Symbolic Query Optimization in Knowledge Graphs Deep reinforcement learning for join order enumeration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.774615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 332ff634-f65c-4809-9f42-3ce867d4179f · outbound

This paper cites Reinforcement Learning with Tree-LSTM for Join Order Selection.

Neuro-Symbolic Query Optimization in Knowledge Graphs Reinforcement Learning with Tree-LSTM for Join Order Selection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T15:22:21.308654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad1c05e-fedc-4317-afa4-4de20c9ca80b · outbound

This paper cites Skinnerdb: Regret-bounded query evalu- ation via reinforcement learning.

Neuro-Symbolic Query Optimization in Knowledge Graphs Skinnerdb: Regret-bounded query evalu- ation via reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.761227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 853ddee5-0883-4780-95d5-e8454c1fcffe · outbound

This paper cites A reinforcement learning approach for adaptive query processing.

Neuro-Symbolic Query Optimization in Knowledge Graphs A reinforcement learning approach for adaptive query processing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.748648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf4d8497-369d-4cf8-9a09-15b5e1bb50c0 · outbound

This paper cites Database meets artificial intelligence: A survey.

Neuro-Symbolic Query Optimization in Knowledge Graphs Database meets artificial intelligence: A survey

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.736305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c8922ab-2e7c-408b-8f79-d44d1374c5bb · outbound

This paper cites Charaterizing RDF graphs through graph-based measures - framework and assessment.

Neuro-Symbolic Query Optimization in Knowledge Graphs Charaterizing RDF graphs through graph-based measures - framework and assessment

Reference 32

Resolution: verified exact; doi, observed 2026-08-12T15:22:21.489317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 680cfbc9-fdc1-41b1-9ffc-c90ac27e4d36 · outbound

This paper cites LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs.

Neuro-Symbolic Query Optimization in Knowledge Graphs LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs

Reference 33

Resolution: verified exact; doi, observed 2026-08-12T15:22:21.477029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbb0f3d2-8d5d-4f97-a581-0927c643f00d · outbound

This paper cites Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks.

Neuro-Symbolic Query Optimization in Knowledge Graphs Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T15:22:21.331704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb3f001-d6eb-48e7-af1d-3270c6423c17 · outbound

This paper cites Learned sketch for subgraph counting: a holistic approach.

Neuro-Symbolic Query Optimization in Knowledge Graphs Learned sketch for subgraph counting: a holistic approach

Reference 35

Resolution: verified exact; doi, observed 2026-08-12T15:22:21.450309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0f693a3-6243-41a3-b5a6-6a637c770551 · outbound

This paper cites Learning-based SPARQL query performance modeling and prediction.

Neuro-Symbolic Query Optimization in Knowledge Graphs Learning-based SPARQL query performance modeling and prediction

Reference 36

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T15:22:21.723342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9624f6c-10fb-4d4d-93b8-fe836cc6218c · outbound

This paper cites SPARQL query execution time prediction using Deep Learning.

Neuro-Symbolic Query Optimization in Knowledge Graphs SPARQL query execution time prediction using Deep Learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.705407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 440d5c80-3049-4bdb-92cc-db2348454bfe · outbound

This paper cites ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL.

Neuro-Symbolic Query Optimization in Knowledge Graphs ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.691428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1e78f8d-27db-4530-b443-b071fc50ef54 · outbound

This paper cites Reinforcement Learning-Based SPARQL Join Or- dering Optimizer.

Neuro-Symbolic Query Optimization in Knowledge Graphs Reinforcement Learning-Based SPARQL Join Or- dering Optimizer

Reference 39

Resolution: verified exact; doi, observed 2026-08-12T15:22:21.436857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 231f1003-f16b-4d57-86dc-39b4bb072972 · outbound

This paper cites Robust query processing through progressive optimization.

Neuro-Symbolic Query Optimization in Knowledge Graphs Robust query processing through progressive optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.679039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33886609-f5af-4adf-86b5-91a87d4cc674 · outbound

This paper cites Cost- and Robustness-Based Query Optimization for Linked Data Fragments.

Neuro-Symbolic Query Optimization in Knowledge Graphs Cost- and Robustness-Based Query Optimization for Linked Data Fragments

Reference 41

Resolution: verified exact; doi, observed 2026-08-12T15:22:21.423349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f364d420-7fe6-4965-9cc7-e619419df5c8 · outbound

This paper cites Robust query processing for linked data fragments.

Neuro-Symbolic Query Optimization in Knowledge Graphs Robust query processing for linked data fragments

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.665840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74611d17-98ff-44e7-a537-9ab8c75c9898 · outbound

This paper cites Eddies: Continuously adaptive query processing.

Neuro-Symbolic Query Optimization in Knowledge Graphs Eddies: Continuously adaptive query processing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:22:21.653379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c8d34d1-17e1-4d78-a63d-f803a5c476f3 · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Query Optimization in Knowledge Graphs Unresolved cited work

Reference 57

Resolution: verified exact; doi, observed 2026-08-12T15:22:21.404224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.