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Paper Citation Record · LEDGER

Top Ten Challenges Towards Agentic Neural Graph Databases

As of 11 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 4 inbound Pith citation observations for arXiv:2501.14224.

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

pith.paper-citation-record.v1
2501.14224 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:18:14.373093Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:48:53.407861Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T19:36:09.070970Z

Reference resolution

87 of 87 outbound references displayed

  • verified exact6
  • verified fuzzy54
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8598e5b-1db8-4c47-9cf1-16a76935ca88 · outbound

This paper cites Graph database applications and concepts with neo4j.

Top Ten Challenges Towards Agentic Neural Graph Databases Graph database applications and concepts with neo4j

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.932446Z digest=sha256:ea772304e21c310f181c2bb8efa2ef7dfc023b9845825b4734140fdfdcd515fd

Observation 0bae7fbe-4f96-4720-b908-6d04495950e0 · outbound

This paper cites TigerGraph: A Native MPP Graph Database.

Top Ten Challenges Towards Agentic Neural Graph Databases TigerGraph: A Native MPP Graph Database

Reference 2

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no resolver link, observed 2026-08-10T15:18:13.937440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.937440Z digest=sha256:f0d2bfc0017385c2921f0285eaabd47c854f302e73045a6d085279e24fb75925

Observation 26a1091f-070d-487b-9575-a6f17b0a2448 · outbound

This paper cites Neural graph databases.

Top Ten Challenges Towards Agentic Neural Graph Databases Neural graph databases

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.942795Z digest=sha256:84d1030f617c798f22479feba6d1ba09c263b8024d1e03bab7b9b36b5df801a6

Observation 3d707450-0dc4-4627-8fc3-98c4bf04761f · outbound

This paper cites Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.

Top Ten Challenges Towards Agentic Neural Graph Databases Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.947659Z digest=sha256:78e34df8dd1b0a141468fa0b2f2c745978b2224e78673f8999b3a4d7782b435e

Observation ab9b7496-c694-4d7a-9cc6-9256e0cb8bbf · outbound

This paper cites Artificial intelligence: a modern approach.

Top Ten Challenges Towards Agentic Neural Graph Databases Artificial intelligence: a modern approach

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.953034Z digest=sha256:abd4387752af0ba27a4a2ecd9e116497dcc4c0631022769e8468602eacb90fab

Observation ffb47428-dd2e-4ff0-8d25-166d72c97d3e · outbound

This paper cites Kblrn: End-to-end learning of knowledge base representations with latent, relational, and numerical features.

Top Ten Challenges Towards Agentic Neural Graph Databases Kblrn: End-to-end learning of knowledge base representations with latent, relational, and numerical features

Reference 6

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no resolver link, observed 2026-08-10T15:18:13.957473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.957473Z digest=sha256:916c5938246adb7666f85a4fec2af9d9e05a6fb46a4682e9a7ed3f93b2b55dfc

Observation 9bb5da43-5a17-4081-8ff3-1e2b62b54ff8 · outbound

This paper cites Knowledge representation learning with entities, attributes and relations.

Top Ten Challenges Towards Agentic Neural Graph Databases Knowledge representation learning with entities, attributes and relations

Reference 7

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no resolver link, observed 2026-08-10T15:18:13.962740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.962740Z digest=sha256:1240902513233b12afef93cbceee1d20a03f7dae8f43cfaf42d7ed986daaa1ee

Observation 49e31978-29d8-4be5-b867-4c4d88fbaa40 · outbound

This paper cites Litcqd: Multi-hop reasoning in incomplete knowledge graphs with numeric literals.

Top Ten Challenges Towards Agentic Neural Graph Databases Litcqd: Multi-hop reasoning in incomplete knowledge graphs with numeric literals

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.966858Z digest=sha256:04652fc6c07ad5915da32d97c8b63017d0361db94eb1f975a4355c0f39baf151

Observation e99a54ef-e3a6-4127-97e9-b34bbe9d52ce · outbound

This paper cites Smith, and Yejin Choi.

Top Ten Challenges Towards Agentic Neural Graph Databases Smith, and Yejin Choi

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.971004Z digest=sha256:b35f02aead76b229863bffb2baa54882561e6a6e35771794693cf448d9d22af4

Observation 3a4a56f0-a7ff-4b0f-90f4-922d66d9ef31 · outbound

This paper cites ASER: A large-scale eventuality knowledge graph.

Top Ten Challenges Towards Agentic Neural Graph Databases ASER: A large-scale eventuality knowledge graph

Reference 10

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raw_fallback, observed 2026-08-10T15:18:15.682924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:13.974788Z digest=sha256:429a0b6d026b2d3287feb4b6f24087c7f77092fae3322885435ccf701236faf7

Observation c1a75d5c-c937-472f-926f-40be6a6adcfd · outbound

This paper cites Complex query answering on eventuality knowledge graph with implicit logical constraints.

Top Ten Challenges Towards Agentic Neural Graph Databases Complex query answering on eventuality knowledge graph with implicit logical constraints

Reference 11

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raw_fallback, observed 2026-08-10T15:18:15.671329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:13.979951Z digest=sha256:15fd8406c387c893d912ae9a4f131c23d4c5758feb595b5be3415443dd2fc3a4

Observation c7c6bfef-1880-4b3b-93e4-ec9696283dca · outbound

This paper cites FolkScope: Intention knowledge graph construction for E-commerce commonsense discovery.

Top Ten Challenges Towards Agentic Neural Graph Databases FolkScope: Intention knowledge graph construction for E-commerce commonsense discovery

Reference 12

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raw_fallback, observed 2026-08-10T15:18:15.659460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:13.984044Z digest=sha256:650e906dc11eea1d93e85823a53678ea04c2db0b67d3e18a2bc543893cd340d0

Observation 130c1109-2ed4-4748-bc51-780491d61120 · outbound

This paper cites Cosmo: A large-scale e-commerce common sense knowledge generation and serving system at amazon.

Top Ten Challenges Towards Agentic Neural Graph Databases Cosmo: A large-scale e-commerce common sense knowledge generation and serving system at amazon

Reference 13

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raw_fallback, observed 2026-08-10T15:18:15.645824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:13.988014Z digest=sha256:4953b74cf77e130c69a60f12f1570d9c357fad5e83096874256bfe430f378095

Observation 34360b31-5504-4a22-963c-f440532e571e · outbound

This paper cites Intention knowledge graph construction for user intention relation modeling.

Top Ten Challenges Towards Agentic Neural Graph Databases Intention knowledge graph construction for user intention relation modeling

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:13.991945Z digest=sha256:6526f6afb676ef089ab6d481d23159f7c40ecec5d30ef167269fab7a28ccb1ca

Observation b1ed030b-b998-457c-8716-4fa72e07a40a · outbound

This paper cites Advancing abductive reasoning in knowledge graphs through complex logical hypothesis generation.

Top Ten Challenges Towards Agentic Neural Graph Databases Advancing abductive reasoning in knowledge graphs through complex logical hypothesis generation

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.633961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:13.995982Z digest=sha256:53ed6ae22b929bea377f32e128b2d564469486590bcf6d47d75e917e92ed74e3

Observation 53b3887b-07c1-41df-af2e-ee7fa122f8e0 · outbound

This paper cites an unresolved cited work.

Top Ten Challenges Towards Agentic Neural Graph Databases Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-10T15:18:15.619718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.000384Z digest=sha256:cccbf6942c3fcf5bd95ed5a58654dac9dbfd47e53462ba076f1261f8ca43b9e0

Observation 19e87c4e-25c7-45c3-a0a9-1ee2c8161c5f · outbound

This paper cites Logical queries on knowledge graphs: Emerging interface of incomplete relational data.

Top Ten Challenges Towards Agentic Neural Graph Databases Logical queries on knowledge graphs: Emerging interface of incomplete relational data

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.606433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.005420Z digest=sha256:206deb6c74e336110abfcccd1c01694f6faf6edb5bdf9dd88d9313f9a3c330ad

Observation e0281171-67a1-4001-984f-58cf38a53422 · outbound

This paper cites Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective.

Top Ten Challenges Towards Agentic Neural Graph Databases Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective

Reference 18

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local_arxiv, observed 2026-08-10T15:18:14.679021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.009957Z digest=sha256:5707c566059f11f9914b63d14258e8ea3bfd6c65d09368a2e097845431173dfa

Observation ae51be8a-9858-4d15-9320-87038d210ba4 · outbound

This paper cites Embedding logical queries on knowledge graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Embedding logical queries on knowledge graphs

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.591746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.014882Z digest=sha256:d5faed8ed2c09fce9abdf7199c30c8badd51a5818ed8d5d65038d90beb5d93a6

Observation 60c0ab3c-3372-4de8-9bc9-7f5895f9186f · outbound

This paper cites Query2box: Reasoning Over Knowledge Graphs In Vector Space Using Box Embeddings.

Top Ten Challenges Towards Agentic Neural Graph Databases Query2box: Reasoning Over Knowledge Graphs In Vector Space Using Box Embeddings

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.575375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.020059Z digest=sha256:89523e318dd9c0ffdcc85a2b937b5149e65e3aa114b8c5b4e928535cf1c247a1

Observation 1ab60286-c0e3-4510-bcb9-83288996bba7 · outbound

This paper cites Neural-Answering Logical Queries on Knowledge Graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Neural-Answering Logical Queries on Knowledge Graphs

Reference 21

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raw_fallback, observed 2026-08-10T15:18:15.559616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.024053Z digest=sha256:ec9c4d2785dc4ddbed8aea376dc044c9d3ebbeb41d359d7555bdb7f47dd4b113

Observation f2540e5c-8115-40ea-806d-26078a5380e1 · outbound

This paper cites Beta embeddings for multi-hop logical reasoning in knowledge graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Beta embeddings for multi-hop logical reasoning in knowledge graphs

Reference 22

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raw_fallback, observed 2026-08-10T15:18:15.543301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.027912Z digest=sha256:949bdaf04fbc6c640451118f125076d51ebd15ec8fa932030943b847002982b6

Observation 26143abc-98a2-408a-8b6a-4d28f4ea712f · outbound

This paper cites Wasserstein-fisher-rao embedding: Logical query embeddings with local comparison and global transport.

Top Ten Challenges Towards Agentic Neural Graph Databases Wasserstein-fisher-rao embedding: Logical query embeddings with local comparison and global transport

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.528815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.031903Z digest=sha256:c0645fe0388429175ea413bf41c5db429a352713e011ba7365abccf34887b008

Observation a630111e-136b-4c3e-b709-bdbc6490da43 · outbound

This paper cites Meta Operator for Complex Query Answering on Knowledge Graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Meta Operator for Complex Query Answering on Knowledge Graphs

Reference 24

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unresolved
no resolver link, observed 2026-08-10T15:18:14.035784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.035784Z digest=sha256:a545aa9be2d1cf485512335d0d23221af2f02fc89cc9551bdc445708fe7937bb

Observation 4d71220b-e60f-4f59-895e-d44c14107e39 · outbound

This paper cites Rethinking existential first order queries and their inference on knowledge graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Rethinking existential first order queries and their inference on knowledge graphs

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.515688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.041336Z digest=sha256:929ff0131b52cc53818a615a9b5c89124858c82158e6d3c1d3742f3cfb046ba6

Observation 400fd160-a9b9-4b2d-b8aa-caafb6de1d04 · outbound

This paper cites Logical Message Passing Networks with One-hop Inference on Atomic Formulas.

Top Ten Challenges Towards Agentic Neural Graph Databases Logical Message Passing Networks with One-hop Inference on Atomic Formulas

Reference 26

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verified exact
local_arxiv, observed 2026-08-10T15:18:14.651156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.046783Z digest=sha256:4ec44165dfaca217bc5d2a79ef811d4f777597e035b359128504204c8b503f8f

Observation 6478f9f0-8161-4347-81c6-402f80d88b76 · outbound

This paper cites NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:18:14.633233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.051426Z digest=sha256:d389363cf435011a3aa41c12faaf2ea06d22c691a15c5cec6db7eab1207726c2

Observation 51a606a4-4756-49ab-a613-f8a49d7a782e · outbound

This paper cites Knowledge graph embedding: A survey of ap- proaches and applications.

Top Ten Challenges Towards Agentic Neural Graph Databases Knowledge graph embedding: A survey of ap- proaches and applications

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.501721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.057275Z digest=sha256:5f9ce03c51aa2d7655a580287270cddbf5db66578df5b33d3fccd797156c4f4a

Observation 39cfa384-37ca-495b-b265-4577fd9e2634 · outbound

This paper cites Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization.

Top Ten Challenges Towards Agentic Neural Graph Databases Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.487673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.062088Z digest=sha256:431bf4d0657ec1d5f3d7735a65403608a242818058c6e588f90edfdcebbc1f57

Observation ee5ce41d-1b57-44e8-a11b-85d04706f433 · outbound

This paper cites Sequential query encoding for complex query answering on knowledge graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Sequential query encoding for complex query answering on knowledge graphs

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.474977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.066860Z digest=sha256:2c836fb0a653edc9c9efac2ee1461acc200fb571cbb27adf8646c30b29f2e82a

Observation 67c2fae7-c02a-454e-9819-3c3436abb205 · outbound

This paper cites Database privacy: balancing confidentiality, integrity and availability.

Top Ten Challenges Towards Agentic Neural Graph Databases Database privacy: balancing confidentiality, integrity and availability

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.463185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.087775Z digest=sha256:ab0a1c03bd9f3c973d19015ad118657bbe9a830be9d77945a88ceda02865a6b8

Observation b7b1867f-7846-4bbe-8c9a-d071cdad6b98 · outbound

This paper cites Access control for databases: Concepts and systems.

Top Ten Challenges Towards Agentic Neural Graph Databases Access control for databases: Concepts and systems

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.449666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.092583Z digest=sha256:381567797ef7def0c62430410787738a7f043a3f45f0f36f6e7ac4a6503f68a8

Observation 09f649f3-1c44-4518-a7fa-792ef798a1a4 · outbound

This paper cites Detecting insider threats in a real corporate database of computer usage activity.

Top Ten Challenges Towards Agentic Neural Graph Databases Detecting insider threats in a real corporate database of computer usage activity

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.436828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.098025Z digest=sha256:d9ac9af92e5d3e60e8f11e6b871dcc6adb8d29944b41412dd95856df78d1cfe6

Observation a9df5035-d2ac-4299-9300-1baab5a0532d · outbound

This paper cites Inference attacks on property-preserving en- crypted databases.

Top Ten Challenges Towards Agentic Neural Graph Databases Inference attacks on property-preserving en- crypted databases

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.423920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.103313Z digest=sha256:ae31d819d0e8eacb8a4056144812a8e4f179e445fed2c52e78ced423f1740c9d

Observation 9ca75893-2f40-4e22-813c-43495309868b · outbound

This paper cites A comparative study of data anonymization techniques.

Top Ten Challenges Towards Agentic Neural Graph Databases A comparative study of data anonymization techniques

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.411199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.107806Z digest=sha256:744e53137e381c611b8fe3df42a009c0e3850649f71fe8c87ad8fd28e37459ac

Observation d0a54ece-544f-455c-ae52-2e1d032255aa · outbound

This paper cites k-anonymity: A model for protecting privacy.

Top Ten Challenges Towards Agentic Neural Graph Databases k-anonymity: A model for protecting privacy

Reference 36

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raw_fallback, observed 2026-08-10T15:18:15.398327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.112833Z digest=sha256:43f1a0f9210319aa34a3722fa672fd7fff8b96f73d0e58857288e707775d3a4c

Observation f123864c-0b4e-4895-87d3-636035df244d · outbound

This paper cites l-diversity: Privacy beyond k-anonymity.

Top Ten Challenges Towards Agentic Neural Graph Databases l-diversity: Privacy beyond k-anonymity

Reference 37

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raw_fallback, observed 2026-08-10T15:18:15.385980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.117263Z digest=sha256:842398d5f196396ee8e6232baf0cfe133a11f7fdc67b44ac0a0360557d84de4c

Observation d77aca5c-3ad7-427d-8607-b658dd347b58 · outbound

This paper cites Database security and encryption: A survey study.

Top Ten Challenges Towards Agentic Neural Graph Databases Database security and encryption: A survey study

Reference 38

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raw_fallback, observed 2026-08-10T15:18:15.373487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.122041Z digest=sha256:b94f7b087db2ca580c659241fcc8140d936825d36f333ae37e6ca69c3f4a12f0

Observation 3d0e6023-3411-463d-b7bc-aa6f5776ef4b · outbound

This paper cites Differential privacy.

Top Ten Challenges Towards Agentic Neural Graph Databases Differential privacy

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.359252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.126742Z digest=sha256:1ffcdf9f90fd98945497d567ca32ea023835e374bf74f1fcf2c1dd11429fc0bb

Observation 9f46a590-48fd-4ce2-bc1c-c6419155211f · outbound

This paper cites Adversarial attacks on link prediction algorithms based on graph neural networks.

Top Ten Challenges Towards Agentic Neural Graph Databases Adversarial attacks on link prediction algorithms based on graph neural networks

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.346669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.131984Z digest=sha256:978139c9c15dd3e3e6eb683cab07bb37d25429ee8d943323be28f78bab8efc4b

Observation 96ef3246-08d3-4b8b-964c-653ffa7aed12 · outbound

This paper cites Structural attack against graph based android malware detection.

Top Ten Challenges Towards Agentic Neural Graph Databases Structural attack against graph based android malware detection

Reference 41

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raw_fallback, observed 2026-08-10T15:18:15.333294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.137168Z digest=sha256:fd3f764e60c6db2d8db6db49c382254fca522a8081bf5894045146406b6985b7

Observation c4929ddd-9e6d-4a27-a256-67b93d2ae067 · outbound

This paper cites Privacy-preserved neural graph databases.

Top Ten Challenges Towards Agentic Neural Graph Databases Privacy-preserved neural graph databases

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.320320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.144081Z digest=sha256:c4b3b2b6d9cc03df2f390f6d12da300fc1735c9cbef4bff8e61c5a737ae772a5

Observation 11441e65-ed70-45e5-b3f8-9ff5ff52bdf5 · outbound

This paper cites Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.

Top Ten Challenges Towards Agentic Neural Graph Databases Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

Reference 43

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no resolver link, observed 2026-08-10T15:18:14.149178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.149178Z digest=sha256:90f5664b6ac40fa6804d43b587bbb70e8fae1dd6260cc045c339e98d7bc5dd21

Observation 0f403bbf-07b9-421d-ada7-6101e96b31bf · outbound

This paper cites Membership inference attacks on machine learning: A survey.

Top Ten Challenges Towards Agentic Neural Graph Databases Membership inference attacks on machine learning: A survey

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.307341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.155141Z digest=sha256:1d01242093c582592cfd547d5b90953f6847627f42acb6b6e613fd111b0bb343

Observation e2466134-2e07-453f-b92e-a11c7b3587f8 · outbound

This paper cites Information leakage in embedding models.

Top Ten Challenges Towards Agentic Neural Graph Databases Information leakage in embedding models

Reference 45

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unresolved
no resolver link, observed 2026-08-10T15:18:14.160253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.160253Z digest=sha256:21aa7c6de1c891a4a1fbcd588fbf2937d442ab5fc7ddc005b4543ac71fb965bd

Observation ca11bb32-1470-4e4a-96dc-0118e44ce8df · outbound

This paper cites Effects of differential privacy and data skewness on membership inference vulnerability.

Top Ten Challenges Towards Agentic Neural Graph Databases Effects of differential privacy and data skewness on membership inference vulnerability

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.286294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.164783Z digest=sha256:31831782c6c91eb799a3636b4edbe4e269c7aa999a4a57951b77250d1205114a

Observation 5902055c-dbc0-4964-8301-f21ce2d29aa6 · outbound

This paper cites Regression model fitting under differential privacy and model inversion attack.

Top Ten Challenges Towards Agentic Neural Graph Databases Regression model fitting under differential privacy and model inversion attack

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.274171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.169172Z digest=sha256:7483527f4ee2010bff0ac349e9d9b1dae15f33731b0e5a9f4e9ad8e9eff451c6

Observation 98881bb2-2195-49b0-88c8-e4c058fc2146 · outbound

This paper cites Independent distribution regularization for private graph embedding.

Top Ten Challenges Towards Agentic Neural Graph Databases Independent distribution regularization for private graph embedding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.260525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.175034Z digest=sha256:87069176d6a983e4f84369936224503edac6fbb8ff7e8f4999740a18e1fb115c

Observation 0622a489-3823-4ee9-9c36-bf69229c679b · outbound

This paper cites Fedcqa: Answering complex queries on multi-source knowledge graphs via federated learning.

Top Ten Challenges Towards Agentic Neural Graph Databases Fedcqa: Answering complex queries on multi-source knowledge graphs via federated learning

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.247857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.180324Z digest=sha256:35754428e66aae169d16c1223baf0b57b72ee99362d760bffac621c6bf3000b2

Observation 9b84ce5f-eebc-4797-bfdd-e876c43d53a7 · outbound

This paper cites Secure multi-party computation.

Top Ten Challenges Towards Agentic Neural Graph Databases Secure multi-party computation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.235369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.184876Z digest=sha256:98228a5256344ce7403692dadc8ca41aa386e2d7948087185a319b15388ede87

Observation bb9fee8c-ecd2-4283-8f9a-bc544a9b59bb · outbound

This paper cites A survey on homomorphic encryption schemes: Theory and implementation.

Top Ten Challenges Towards Agentic Neural Graph Databases A survey on homomorphic encryption schemes: Theory and implementation

Reference 51

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no resolver link, observed 2026-08-10T15:18:14.189207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.189207Z digest=sha256:79e4bcfad84036d8aa400cc37b176481feafdd60ace8e16932ca28d389990e91

Observation 75911f9e-5574-4bab-bec4-ce3f2c689c3b · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Top Ten Challenges Towards Agentic Neural Graph Databases Deep Learning Scaling is Predictable, Empirically

Reference 52

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no resolver link, observed 2026-08-10T15:18:14.194041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.194041Z digest=sha256:d3e8c536b3941247eca7f10dcb4b8adca091ee7a27e810ee6eefd9996bbd6d34

Observation ac6dffb5-b786-4aae-85e5-960a7850d536 · outbound

This paper cites Scaling Laws for Neural Language Models.

Top Ten Challenges Towards Agentic Neural Graph Databases Scaling Laws for Neural Language Models

Reference 53

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no resolver link, observed 2026-08-10T15:18:14.198742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.198742Z digest=sha256:c62583a671281add28e4b982deb9ab3a944ef19f7357d816c956f59a4eadd0ff

Observation bd06c6bc-caaa-49df-8ba9-8bfd4acaefc2 · outbound

This paper cites $\text{EFO}_{k}$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation.

Top Ten Challenges Towards Agentic Neural Graph Databases $\text{EFO}_{k}$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation

Reference 54

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local_arxiv, observed 2026-08-10T15:18:14.570993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.204063Z digest=sha256:9a23ce4d9efdc56b563a796d38f29cba58974c1b796d6dbcbc51ee441b2ca81e

Observation f414a7bf-f676-4c87-9cce-87cae9d17363 · outbound

This paper cites Smore: Knowledge graph completion and multi-hop reasoning in massive knowledge graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Smore: Knowledge graph completion and multi-hop reasoning in massive knowledge graphs

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.215164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.208548Z digest=sha256:36fe0cd8b51d7e86125fcf2258358e6d75f6e4666ffbd466dbdf5af7a571122f

Observation 1ae4241b-f08a-446c-8057-4096166ece9a · outbound

This paper cites Foundations of databases, volume 8.

Top Ten Challenges Towards Agentic Neural Graph Databases Foundations of databases, volume 8

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.201532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.218617Z digest=sha256:4a0b44d77f72823ff50d10e8fc276a3f6dd02466cf7d76f69e5a662057557d19

Observation 4e5d4513-3fa4-4a08-8709-a3377928a971 · outbound

This paper cites Freebase: a collaboratively created graph database for structuring human knowledge.

Top Ten Challenges Towards Agentic Neural Graph Databases Freebase: a collaboratively created graph database for structuring human knowledge

Reference 57

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no resolver link, observed 2026-08-10T15:18:14.223018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.223018Z digest=sha256:044d46c9b975d571c939f968514dca7a5eb6ad7bd581b9d1c3b6a928d666dfc7

Observation b8c7bb28-6724-4a87-8e38-4a956b4a3054 · outbound

This paper cites Knowledge graphs querying.

Top Ten Challenges Towards Agentic Neural Graph Databases Knowledge graphs querying

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.182558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.228345Z digest=sha256:0ed60fffa8efa1862624525aa37d8cd14ca00736b9ef392a2a725be07a7fa6c5

Observation f1c5a8f3-80f5-4f38-83ce-fc91f14c8adf · outbound

This paper cites The world of graph databases from an industry perspective.

Top Ten Challenges Towards Agentic Neural Graph Databases The world of graph databases from an industry perspective

Reference 59

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raw_fallback, observed 2026-08-10T15:18:15.170496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.233254Z digest=sha256:dbee6f5e50c709bbc1063f0fd173a4e594dc9a012da52b1c7a2b9965f6fa53a5

Observation e9e03270-aefe-42ec-af7b-c3c2d9b34d91 · outbound

This paper cites Manu: A Cloud Native Vector Database Management System.

Top Ten Challenges Towards Agentic Neural Graph Databases Manu: A Cloud Native Vector Database Management System

Reference 60

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no resolver link, observed 2026-08-10T15:18:14.238031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.238031Z digest=sha256:fa2331242e2a1be025888faa542b54a19c32baf7feebfa0836a2a37877e76258

Observation 8804eef5-eec9-46b0-b388-f822a2b1d3fe · outbound

This paper cites Survey of vector database management systems.

Top Ten Challenges Towards Agentic Neural Graph Databases Survey of vector database management systems

Reference 61

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no resolver link, observed 2026-08-10T15:18:14.243733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.243733Z digest=sha256:525dec4cdd22101bd5041d8a68e3fc85239b78d9c0a2f0c5b6381de6f9454a8a

Observation 4ef18234-f764-439e-ada1-90afd9efe36c · outbound

This paper cites Graph database partitioning: A study.

Top Ten Challenges Towards Agentic Neural Graph Databases Graph database partitioning: A study

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.151031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.248226Z digest=sha256:e0f068d0139a3510e31de47a675672d32fb5243f0444b45bc496347774ab534e

Observation 4e5b5f9a-1264-4a02-aa24-9f8a8fd4c6ad · outbound

This paper cites Geabase: A high-performance distributed graph database for industry-scale applications.

Top Ten Challenges Towards Agentic Neural Graph Databases Geabase: A high-performance distributed graph database for industry-scale applications

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.138525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.253971Z digest=sha256:809f75b88e3789995d27ea9db40e9bedb85335e92a058d529413e1565e2940eb

Observation 25d5dc9e-b9de-474d-af67-f59e029cf5c1 · outbound

This paper cites Bytegraph: a high-performance distributed graph database in bytedance.

Top Ten Challenges Towards Agentic Neural Graph Databases Bytegraph: a high-performance distributed graph database in bytedance

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.127245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.258675Z digest=sha256:f3d00fb35717596aaefb7ccf594895a91a1e1621043c07f1543f3b2453ba0d5b

Observation b1c79009-695d-4ba1-a382-d5f141da8ff3 · outbound

This paper cites Design of highly scalable graph database systems without exponential perfor- mance degradation.

Top Ten Challenges Towards Agentic Neural Graph Databases Design of highly scalable graph database systems without exponential perfor- mance degradation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.115850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.264991Z digest=sha256:3edf70d1a015c72413d16762833b245244133cf774ce1182b93f6fc23c52db04

Observation 85c53c74-071f-4e4c-85d0-3481dcfdd564 · outbound

This paper cites an unresolved cited work.

Top Ten Challenges Towards Agentic Neural Graph Databases Unresolved cited work

Reference 66

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unresolved
raw_fallback, observed 2026-08-10T15:18:15.104285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.270854Z digest=sha256:3e2136c1b397a2f5c416fc29c93b71eb5889463a8933f2b0ba748ed362cc1bee

Observation ed0c2d59-27b0-486a-b552-0da3022e5051 · outbound

This paper cites TigerGraph.

Top Ten Challenges Towards Agentic Neural Graph Databases TigerGraph

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.091287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.276532Z digest=sha256:c0e2539543e4dc55f75c37a1822b9d5200de27bcf6cfe8085ea3ceee6af94e7f

Observation 68e55ee5-c38f-4f82-928c-032948172149 · outbound

This paper cites Milvus: A purpose-built vector data management system.

Top Ten Challenges Towards Agentic Neural Graph Databases Milvus: A purpose-built vector data management system

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.079666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.282047Z digest=sha256:9ec69abfc7a32135ac815e1bdc9c87465856535056bb84dcce2b88c4ff681ce0

Observation 4dd60cf8-7489-466b-a30e-5fe6323ac7d4 · outbound

This paper cites an unresolved cited work.

Top Ten Challenges Towards Agentic Neural Graph Databases Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:18:15.066301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.287542Z digest=sha256:2c6f948e80f115ff3dd753c579b236c78c9d377638a9771f35b9db28ecfb8f2d

Observation 5fb2d1fb-9e19-48b1-b9d2-53b16882f3a5 · outbound

This paper cites Weaviate.

Top Ten Challenges Towards Agentic Neural Graph Databases Weaviate

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.052693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.292928Z digest=sha256:bb9b2c9c5501b76d9424f424d63625f37caf3138ea81e23de4f6c510e7c89297

Observation 1942a969-89b2-45c7-9530-563eb0a1d00c · outbound

This paper cites A survey on distributed graph pattern matching in massive graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases A survey on distributed graph pattern matching in massive graphs

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.038142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.298420Z digest=sha256:3d163eee0f484ebcc76f60330e0fc3048218aa6be74bc4590c81e7eae2baf5ed

Observation 8b98ae48-c6e7-438b-ae89-9292f7ad8789 · outbound

This paper cites A survey of distributed graph algorithms on massive graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases A survey of distributed graph algorithms on massive graphs

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.022055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.303746Z digest=sha256:b864a36165f96746456bd40a11f7ab31cd4c5019341f5efaff4ba5fb167a333c

Observation cf4dc011-042c-4d2a-a2f0-df4480acfcf4 · outbound

This paper cites Atom: An efficient query serving system for embedding-based knowledge graph reasoning with operator-level batching.

Top Ten Challenges Towards Agentic Neural Graph Databases Atom: An efficient query serving system for embedding-based knowledge graph reasoning with operator-level batching

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:18:15.006449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.309102Z digest=sha256:6359017371896d5dbcb0830799d043a8a1e7fb071a88f36586830743d7fb6198

Observation 9d834482-7be7-424a-837d-91676f6c8fae · outbound

This paper cites nsdb: Architecting the next generation database by integrating neural and symbolic systems.Proceedings of the VLDB Endowment, 17(11):3283– 3289, 2024.

Top Ten Challenges Towards Agentic Neural Graph Databases nsdb: Architecting the next generation database by integrating neural and symbolic systems.Proceedings of the VLDB Endowment, 17(11):3283– 3289, 2024

Reference 74

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raw_fallback, observed 2026-08-10T15:18:14.993151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.314548Z digest=sha256:f1bcbe343ba63737614dbe6cd2ef6c8ab0772b66da10fc867152114fce4c7834

Observation e5ef64b4-c9b4-4aee-9ff4-b5b31f1ae8ee · outbound

This paper cites NeurDB: On the Design and Implementation of an AI-powered Autonomous Database.

Top Ten Challenges Towards Agentic Neural Graph Databases NeurDB: On the Design and Implementation of an AI-powered Autonomous Database

Reference 75

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no resolver link, observed 2026-08-10T15:18:14.320891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.320891Z digest=sha256:62646f2c218188ed770e78126b763e092d027e76bf91ff543ecaba1b81786638

Observation 7f3ef5eb-7731-464d-8ff4-1ca07b6d3fbe · outbound

This paper cites Optimizing LLM Queries in Relational Data Analytics Workloads.

Top Ten Challenges Towards Agentic Neural Graph Databases Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 76

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no resolver link, observed 2026-08-10T15:18:14.327183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.327183Z digest=sha256:2173c194bf0bcdaf6d9457dd88d5b7bd12f95f02f5e9d4810ffc4362404d4de2

Observation a29ac87c-2318-40c9-8d93-018f42705a7c · outbound

This paper cites Cost-Intelligent Data Analytics in the Cloud.

Top Ten Challenges Towards Agentic Neural Graph Databases Cost-Intelligent Data Analytics in the Cloud

Reference 77

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local_arxiv, observed 2026-08-10T15:18:14.483257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.332778Z digest=sha256:6b322a3196c9d1cc5f56131e242f02783d5fc66069b90253546d32c30716ec7c

Observation b9593bb1-5ece-4f9c-a06f-d61ca79db2bc · outbound

This paper cites Cloud-native database systems at alibaba: Opportunities and challenges.

Top Ten Challenges Towards Agentic Neural Graph Databases Cloud-native database systems at alibaba: Opportunities and challenges

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:14.980458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.337196Z digest=sha256:ebb542c3e065425227e545ec2243495815992414c2f24001e692b273bfc9ec04

Observation 96c26830-9440-4c85-af95-46781e2740c8 · outbound

This paper cites Cypher: An evolving query language for property graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Cypher: An evolving query language for property graphs

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:14.967805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.341413Z digest=sha256:70daefdd2feec013fa1d1c3346ad327981854eebcb64e88b0ffba7c06b170dd2

Observation 65743447-2ba3-4935-8ee0-9663176445c8 · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

Top Ten Challenges Towards Agentic Neural Graph Databases Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 80

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unresolved
no resolver link, observed 2026-08-10T15:18:14.345485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.345485Z digest=sha256:a0b07df2d9a7085c9bfde11209a0045842d2a7d330064dfb6ec5d556a94448ee

Observation 1de9bd0f-3bd0-452a-8304-986c66d28e06 · outbound

This paper cites G- core: A core for future graph query languages.

Top Ten Challenges Towards Agentic Neural Graph Databases G- core: A core for future graph query languages

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:14.955657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.349523Z digest=sha256:6997d6ee0b65ae5f4f2e0e61bf26904202b41009449885eb99b27efa63005ed9

Observation a6da7077-cc99-432a-8690-7cc7e182f069 · outbound

This paper cites Reasoning Over Semantic-Level Graph for Fact Checking.

Top Ten Challenges Towards Agentic Neural Graph Databases Reasoning Over Semantic-Level Graph for Fact Checking

Reference 82

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no resolver link, observed 2026-08-10T15:18:14.354111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.354111Z digest=sha256:00a4a74d7b9b600dfa114b88694e98c2b5980dfa6460f27558c430da54836b1b

Observation 09ab065c-6c77-4ede-9ed2-dc467280ee25 · outbound

This paper cites Entity linking with a knowledge base: Issues, techniques, and solutions.

Top Ten Challenges Towards Agentic Neural Graph Databases Entity linking with a knowledge base: Issues, techniques, and solutions

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:14.942462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.359939Z digest=sha256:f4d7b71622fdd30962589cb12e0e427f41143de7a2cfa6a0db50c4d13b4e83b3

Observation 2d161763-3da1-403a-847a-b32f7a713201 · outbound

This paper cites Eventground: Narrative reasoning by grounding to eventuality-centric knowledge graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases Eventground: Narrative reasoning by grounding to eventuality-centric knowledge graphs

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:14.930176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.364249Z digest=sha256:bacd401ab4cb0bbad2dbae75598df20d962f02f7b99cf993b24840004a9a94b8

Observation 6ce9f10e-fa41-46de-ae3e-883e04957e85 · outbound

This paper cites Dense X Retrieval: What Retrieval Granularity Should We Use?.

Top Ten Challenges Towards Agentic Neural Graph Databases Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 85

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unresolved
no resolver link, observed 2026-08-10T15:18:14.369252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.369252Z digest=sha256:0864ac65e72e702f125e2dd779b663d22bf2a822f93192732bb090edaec40e51

Observation 0011271c-4206-4a59-90e4-e36ceafbbc08 · outbound

This paper cites Understanding inter-session intentions via complex logical reasoning, 2024.

Top Ten Challenges Towards Agentic Neural Graph Databases Understanding inter-session intentions via complex logical reasoning, 2024

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-10T15:18:14.911994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.373093Z digest=sha256:2d84a7fcc746519eb6293bc3c6f21bec4d6f409fb5650bfd7657d55262b51048

Observation 7657ff59-406a-49bf-abf0-b4327dcf50fd · outbound

This paper cites SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs.

Top Ten Challenges Towards Agentic Neural Graph Databases SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:18:14.553394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:18:14.213502Z digest=sha256:55daf8696cc73136257ad86bb982a5d8eaff548ed7739c9d854b482e0fed64e8

Pith citing papers

Observation 5c0112f6-ee47-4b8b-af9f-70a74c8231bd · inbound

Enhancing Transformers for Generalizable First-Order Logical Entailment cites this paper.

Enhancing Transformers for Generalizable First-Order Logical Entailment Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 7

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no resolver link, observed 2026-08-10T22:48:53.407861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:48:53.407861Z digest=sha256:59b6df47566bbec34874a3f244a94147d416c7b3417249e9eb5b47d49e518087

Observation da225a02-54ef-4ecc-83df-11b5e58a64dc · inbound

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning cites this paper.

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 4

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metadata mismatch
arxiv_id, observed 2026-06-30T20:35:02.797166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T20:28:41.778793Z digest=sha256:a99426335f374bd5902ce5afcb53ca29ea835b0db98adc5d30266f771d700813

Observation d8fb2308-3df3-443b-a619-4c54788f53f8 · inbound

Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables cites this paper.

Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 5

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verified exact
arxiv_id, observed 2026-06-29T21:53:58.929798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T21:53:21.277548Z digest=sha256:cbc03c3c752509bd84b3bc004a86703ce3b1b84551c6f556c6d319a373b05656

Observation e2126382-85de-4dec-83ee-0289f7b5e40d · inbound

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs cites this paper.

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 1

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verified exact
arxiv_id, observed 2026-07-01T19:36:09.072620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T22:15:23.782476Z digest=sha256:c60c9f072f266ba6ace9d6b82d7c8218cb0d682d6acc39b9ea7d0cb48bc893f1