Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:02:58.311915Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2501.14661.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:02:58.311915Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fc7ba104-cc9a-4d39-a051-c5b4d3dc8357 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning S., and Zhang, C
Reference 1
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Observation e7248f5f-2cea-4e00-b670-b8fcd6ebec0e · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Complex query answering with neural link predictors
Reference 2
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Observation 0a7ca783-5e39-4144-b328-127e76cf0897 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Adapting neural link predictors for data-efficient complex query answering
Reference 3
Source-reported events for the cited work
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Observation c83c60d2-a847-4216-8f87-f9e1f574b026 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Query2particles: Knowledge graph reasoning with particle embeddings
Reference 4
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Observation 62af3a62-91dc-4cbb-a125-7e9be6ead827 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
Reference 5
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Observation d5e85c99-1b8a-4857-a3f1-e336202c0b47 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Answering complex logical queries on knowledge graphs via query computation tree optimization
Reference 6
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Observation 67e009d2-cc26-4c4a-b03c-8c00290f8a80 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Translating embeddings for modeling multi-relational data
Reference 7
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Observation 56b80b9d-3625-4a44-91f1-00109dd2654f · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Fuzzy logic based logical query answering on knowledge graphs
Reference 8
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Observation 87c29245-7950-4ab2-a39a-c75e9404ad27 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Probabilistic entity representation model for reasoning over knowledge graphs
Reference 9
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Observation d56f7030-9878-49d8-a33c-e95f0f744c78 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work
Reference 10
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Observation 0b16a77e-ec04-43d4-8b2b-967f76186d0a · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Message Passing Query Embedding
Reference 11
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Observation 13fe78f3-0e32-45ec-90e8-ed2c9441adee · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Convolutional 2d knowledge graph embeddings
Reference 12
Source-reported events for the cited work
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Observation 0db674ee-6fa5-49e7-86c0-a459a9a4173d · outbound
Neural-Symbolic Message Passing with Dynamic Pruning S., Riley, P
Reference 13
Source-reported events for the cited work
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Observation f71e54a2-4062-49a3-8f02-e462f471afad · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Metamathematics of fuzzy logic, volume 4
Reference 14
Source-reported events for the cited work
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Observation a6a2b136-87d2-4e81-80a1-0c2f634de215 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Embedding logical queries on knowledge graphs
Reference 15
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Observation c36fb82d-fcff-487c-a8ef-ec0dbc124766 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work
Reference 16
Source-reported events for the cited work
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Observation 3302a343-34c0-40a0-8603-a0651b49e625 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Semi-Supervised Classification with Graph Convolutional Networks
Reference 17
Source-reported events for the cited work
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Observation ebefddf2-c01b-453f-866a-57abb61c7051 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning P., Mesiar, R., and Pap, E
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bffaa7f5-8f3a-4802-83ad-f9e851b7f7b3 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Canonical tensor decomposition for knowledge base completion
Reference 19
Source-reported events for the cited work
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Observation 6e65f486-0072-4794-baf1-505393e19924 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning House: Knowledge graph embedding with householder parameterization
Reference 20
Source-reported events for the cited work
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Observation 86ed65d4-8eca-430b-836f-1b71166b4e1d · outbound
Neural-Symbolic Message Passing with Dynamic Pruning and Sirangelo, C
Reference 21
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Observation 4377e249-a246-434a-ab6e-f58d1a241c7f · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Mask and reason: Pre-training knowledge graph transformers for complex logical queries
Reference 22
Source-reported events for the cited work
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Observation 2fe51807-fa11-422a-9500-f0d7038152e6 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Logic Embeddings for Complex Query Answering
Reference 23
Source-reported events for the cited work
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Observation 81c7e9fa-fc61-45f0-956d-783bc388445d · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work
Reference 24
Source-reported events for the cited work
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Observation 0eb5e656-2566-4f66-a1bb-2d2a290bb7fe · outbound
Neural-Symbolic Message Passing with Dynamic Pruning and Leskovec, J
Reference 25
Source-reported events for the cited work
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Observation a81e70ad-c14c-462e-9ee4-3b6bad741f98 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
Reference 26
Source-reported events for the cited work
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Observation 6c6846dc-cf4f-4b78-ae7e-85292d3a718f · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Smore: Knowledge graph completion and multi-hop reasoning in massive knowledge graphs
Reference 27
Source-reported events for the cited work
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Observation 283c9ea5-6b7c-4af1-98ea-6716ade6f31e · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Knowledge graph embedding for link prediction: A comparative analysis
Reference 28
Source-reported events for the cited work
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Observation dbd9afb0-2908-4b4a-afc3-3c65d178333f · outbound
Neural-Symbolic Message Passing with Dynamic Pruning O., Bedrax - Weiss, T., Pereira, F., and Cohen, W
Reference 29
Source-reported events for the cited work
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Observation ea7e326a-0cb4-4192-bced-aaaeb2dfa6c6 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Rotate: Knowledge graph embedding by relational rotation in complex space
Reference 30
Source-reported events for the cited work
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Observation 5ebeb123-37bf-4782-a297-c55df702a127 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning and Chen, D
Reference 31
Source-reported events for the cited work
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Observation a4998053-693c-48ce-b015-3aa1b363b3d6 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Complex embeddings for simple link prediction
Reference 32
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Observation 829946ba-c4a3-474e-a7ec-ca0211253d41 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning N., Kaiser, ., and Polosukhin, I
Reference 33
Source-reported events for the cited work
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Observation b0e75143-2f75-44ce-bfe6-27cd4976f5f4 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Graph Attention Networks
Reference 34
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Observation 93d44fca-8c8b-48e9-932f-3fbfd69f59bb · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Benchmarking the combinatorial generalizability of complex query answering on knowledge graphs
Reference 35
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Observation fe221022-6ffa-4689-ba65-2071b0bf9edb · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Logical queries on knowledge graphs: Emerging interface of incomplete relational data
Reference 36
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Observation 577d6207-82f8-48b0-80af-feb3f24194a0 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
Reference 37
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Observation cfe5db55-704d-4724-8234-548c4034de87 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Logical message passing networks with one-hop inference on atomic formulas
Reference 38
Source-reported events for the cited work
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Observation f4b0aec3-2138-4f58-b062-682e8843e976 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work
Reference 39
Source-reported events for the cited work
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Observation b47fe836-e021-4c53-8ae0-97594ecddedc · outbound
Neural-Symbolic Message Passing with Dynamic Pruning How powerful are graph neural networks? In International Conference on Learning Representations, 2019
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 706f0dc8-dc19-42c5-b758-819960d89b5e · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Neural-symbolic entangled framework for complex query answering
Reference 41
Source-reported events for the cited work
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Observation b5f206de-818b-49a4-9978-43ac674c5386 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning W.-t., He, X., Gao, J., and Deng, L
Reference 42
Source-reported events for the cited work
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Observation ab56db05-02e9-4cc7-b6ae-5e8a37f7b44d · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Gammae: Gamma embeddings for logical queries on knowledge graphs
Reference 43
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Observation dfa2d1ea-7802-4552-a517-0aecac6a8c8c · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Rethinking complex queries on knowledge graphs with neural link predictors
Reference 44
Source-reported events for the cited work
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Observation 5dd01829-710e-4a16-89f4-e197bc14c8ed · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Do transformers really perform badly for graph representation? Advances in Neural Information Processing Systems, 34: 0 28877--28888, 2021
Reference 45
Source-reported events for the cited work
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Observation 011551c9-ecd8-4a00-804a-df22de004d43 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning R., and Smola, A
Reference 46
Source-reported events for the cited work
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Observation a7a5e48c-a43e-4591-ab19-893fba8ab891 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Conditional logical message passing transformer for complex query answering
Reference 47
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Observation b92ccc90-949f-4cf6-892f-68d59319dc79 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
Reference 48
Source-reported events for the cited work
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Observation 0dba518c-1848-4e0a-b09d-e6c6fc78a89c · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Cone: Cone embeddings for multi-hop reasoning over knowledge graphs
Reference 49
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.
Observation fae970ee-9514-4ec5-9c22-7b42fd7fd5a9 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning Neural-symbolic models for logical queries on knowledge graphs
Reference 50
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.
Observation 4c888947-2848-4c99-9385-427dfca61f59 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning T., and Zhao, D
Reference 51
Source-reported events for the cited work
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Observation 720a876c-adac-4de0-876b-a15805a62da9 · outbound
Neural-Symbolic Message Passing with Dynamic Pruning write newline
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.