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Paper Citation Record · LEDGER

Neural-Symbolic Message Passing with Dynamic Pruning

As of 17 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.

pith.paper-citation-record.v1
2501.14661 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:02:58.311915Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact3
  • verified fuzzy32
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc7ba104-cc9a-4d39-a051-c5b4d3dc8357 · outbound

This paper cites S., and Zhang, C.

Neural-Symbolic Message Passing with Dynamic Pruning S., and Zhang, C

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.112460Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.076667Z digest=sha256:b33a9f41f26ce7e1fa9a2b4d3d11c72e92bce6dc3318df81058fc39c9f528edf

Observation e7248f5f-2cea-4e00-b670-b8fcd6ebec0e · outbound

This paper cites Complex query answering with neural link predictors.

Neural-Symbolic Message Passing with Dynamic Pruning Complex query answering with neural link predictors

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.098077Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.081628Z digest=sha256:d758eac228c88d302804205bb037cdc1b201fbd9335fa764b76b4f051002c345

Observation 0a7ca783-5e39-4144-b328-127e76cf0897 · outbound

This paper cites Adapting neural link predictors for data-efficient complex query answering.

Neural-Symbolic Message Passing with Dynamic Pruning Adapting neural link predictors for data-efficient complex query answering

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.082430Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.086132Z digest=sha256:3ffb1cbbe746c01addaa1e130053c983839d8292c065ac688248c99280739c75

Observation c83c60d2-a847-4216-8f87-f9e1f574b026 · outbound

This paper cites Query2particles: Knowledge graph reasoning with particle embeddings.

Neural-Symbolic Message Passing with Dynamic Pruning Query2particles: Knowledge graph reasoning with particle embeddings

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.066758Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.090983Z digest=sha256:f7053b592cc3bb373abe2bcb269c903e39fb780b927afe12ea1ac3b477d28c20

Observation 62af3a62-91dc-4cbb-a125-7e9be6ead827 · outbound

This paper cites Sequential Query Encoding For Complex Query Answering on Knowledge Graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Sequential Query Encoding For Complex Query Answering on Knowledge Graphs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.096752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.096752Z digest=sha256:748c1fbff14aefafbfa6ed8c3d9e13d644ec88891f5e3e8e1467eeee36410485

Observation d5e85c99-1b8a-4857-a3f1-e336202c0b47 · outbound

This paper cites Answering complex logical queries on knowledge graphs via query computation tree optimization.

Neural-Symbolic Message Passing with Dynamic Pruning Answering complex logical queries on knowledge graphs via query computation tree optimization

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.050785Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.101897Z digest=sha256:12cb920875a226ae00ca278d38021dd81a52aa81b6b5a7f2ef55648ce9c5744b

Observation 67e009d2-cc26-4c4a-b03c-8c00290f8a80 · outbound

This paper cites Translating embeddings for modeling multi-relational data.

Neural-Symbolic Message Passing with Dynamic Pruning Translating embeddings for modeling multi-relational data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.107430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.107430Z digest=sha256:11268d8cf3917eb42a3b0d70398b4f5356e1c389ed02b2df114f84da93563678

Observation 56b80b9d-3625-4a44-91f1-00109dd2654f · outbound

This paper cites Fuzzy logic based logical query answering on knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Fuzzy logic based logical query answering on knowledge graphs

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.025487Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.112385Z digest=sha256:3c858cb0275e0bffff1365a690dbf155d01947591ff211aea5a303601ade93df

Observation 87c29245-7950-4ab2-a39a-c75e9404ad27 · outbound

This paper cites Probabilistic entity representation model for reasoning over knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Probabilistic entity representation model for reasoning over knowledge graphs

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:59.010121Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.117228Z digest=sha256:b1f175c76a6ecf788d2fb06c682f63b7bc56f484bcf7545f52f2c712a9eb229e

Observation d56f7030-9878-49d8-a33c-e95f0f744c78 · outbound

This paper cites an unresolved cited work.

Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:02:58.994103Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.121510Z digest=sha256:5eeab492974139b51d86dfc40e7aa4aec407f879aa3dce96cf8800ae88670013

Observation 0b16a77e-ec04-43d4-8b2b-967f76186d0a · outbound

This paper cites Message Passing Query Embedding.

Neural-Symbolic Message Passing with Dynamic Pruning Message Passing Query Embedding

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:02:58.471793Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.125872Z digest=sha256:b87032d427584301b863146bfa6bf5b126426ffa4aa29bc80ca0f203d80cb1cd

Observation 13fe78f3-0e32-45ec-90e8-ed2c9441adee · outbound

This paper cites Convolutional 2d knowledge graph embeddings.

Neural-Symbolic Message Passing with Dynamic Pruning Convolutional 2d knowledge graph embeddings

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.979089Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.130870Z digest=sha256:c8ac40a520b6f0b713a1938fc535f5d75b5d7928a9c13e098d921c8408693246

Observation 0db674ee-6fa5-49e7-86c0-a459a9a4173d · outbound

This paper cites S., Riley, P.

Neural-Symbolic Message Passing with Dynamic Pruning S., Riley, P

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.135411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.135411Z digest=sha256:366b5560554f446837cb4ac23b44710d7d614bdda43b70cc73f648fa48f35f98

Observation f71e54a2-4062-49a3-8f02-e462f471afad · outbound

This paper cites Metamathematics of fuzzy logic, volume 4.

Neural-Symbolic Message Passing with Dynamic Pruning Metamathematics of fuzzy logic, volume 4

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.955966Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.139782Z digest=sha256:036b6a6df569cbb6ab9fb9778d56a83e5411df70925fe00703e4d487a7ab0a9b

Observation a6a2b136-87d2-4e81-80a1-0c2f634de215 · outbound

This paper cites Embedding logical queries on knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Embedding logical queries on knowledge graphs

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.941196Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.144310Z digest=sha256:428a8bc906a077d3911f0d65193e8e74f29325971647001c7f9bb420873c7453

Observation c36fb82d-fcff-487c-a8ef-ec0dbc124766 · outbound

This paper cites an unresolved cited work.

Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:02:58.925571Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.148632Z digest=sha256:f8cf65c43f6ea39648b118721e6c7d8785b4f12eead079ffba3b5b7e41e6a4a6

Observation 3302a343-34c0-40a0-8603-a0651b49e625 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Neural-Symbolic Message Passing with Dynamic Pruning Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.152954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.152954Z digest=sha256:296e6d66163c745f108ccb2eff20b13f2bda989cab96a1eeb0efaf11d66dfd94

Observation ebefddf2-c01b-453f-866a-57abb61c7051 · outbound

This paper cites P., Mesiar, R., and Pap, E.

Neural-Symbolic Message Passing with Dynamic Pruning P., Mesiar, R., and Pap, E

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.157625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.157625Z digest=sha256:c1ca93e4a8f5711b1751fadbc339dd69ac98e68251817efae24e2f195aeca3cf

Observation bffaa7f5-8f3a-4802-83ad-f9e851b7f7b3 · outbound

This paper cites Canonical tensor decomposition for knowledge base completion.

Neural-Symbolic Message Passing with Dynamic Pruning Canonical tensor decomposition for knowledge base completion

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.901535Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.161908Z digest=sha256:931270fa234809da48df48dc74c37286d96e62389b3933d5dfd564a41a206e56

Observation 6e65f486-0072-4794-baf1-505393e19924 · outbound

This paper cites House: Knowledge graph embedding with householder parameterization.

Neural-Symbolic Message Passing with Dynamic Pruning House: Knowledge graph embedding with householder parameterization

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.886521Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.166491Z digest=sha256:1943e06cdc29b958d07797f0ab0c91b23964016f5c2db04d5adeb44c4a184146

Observation 86ed65d4-8eca-430b-836f-1b71166b4e1d · outbound

This paper cites and Sirangelo, C.

Neural-Symbolic Message Passing with Dynamic Pruning and Sirangelo, C

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.871697Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.170865Z digest=sha256:5ef4b7fb1f2535b12161172cface46a0eeecde1db4b51cfe93c84f664be1478f

Observation 4377e249-a246-434a-ab6e-f58d1a241c7f · outbound

This paper cites Mask and reason: Pre-training knowledge graph transformers for complex logical queries.

Neural-Symbolic Message Passing with Dynamic Pruning Mask and reason: Pre-training knowledge graph transformers for complex logical queries

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.857400Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.175466Z digest=sha256:ae741f3ffe51e5f927f8015490604836bd5c44e4f73c67e9d2639d8085be9639

Observation 2fe51807-fa11-422a-9500-f0d7038152e6 · outbound

This paper cites Logic Embeddings for Complex Query Answering.

Neural-Symbolic Message Passing with Dynamic Pruning Logic Embeddings for Complex Query Answering

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.179908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.179908Z digest=sha256:a15185f57fd0d14a4bd364a1a9aedf152490d1d9f7cb4def8bfddaffb15b35ea

Observation 81c7e9fa-fc61-45f0-956d-783bc388445d · outbound

This paper cites an unresolved cited work.

Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:02:58.842692Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.184561Z digest=sha256:3702f6a29e9f9022ed3705b6fe279ddaddd4b64786c2e426ae4a771da33dc3d9

Observation 0eb5e656-2566-4f66-a1bb-2d2a290bb7fe · outbound

This paper cites and Leskovec, J.

Neural-Symbolic Message Passing with Dynamic Pruning and Leskovec, J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.828111Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.188947Z digest=sha256:38c8bc9148b6792047142ea5d1ebf15bd51554931f814ee007abc97f9fb68ac1

Observation a81e70ad-c14c-462e-9ee4-3b6bad741f98 · outbound

This paper cites Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings.

Neural-Symbolic Message Passing with Dynamic Pruning Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.193528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.193528Z digest=sha256:14b52249a56326b8c9c6cba9293768e499c99a72796abf56683e5f1504f1c73d

Observation 6c6846dc-cf4f-4b78-ae7e-85292d3a718f · outbound

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

Neural-Symbolic Message Passing with Dynamic Pruning Smore: Knowledge graph completion and multi-hop reasoning in massive knowledge graphs

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.812766Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.198593Z digest=sha256:3e285a6fcf1e39ee14666882a73673b538b6d443eafa7624de1b5ebd96d025a3

Observation 283c9ea5-6b7c-4af1-98ea-6716ade6f31e · outbound

This paper cites Knowledge graph embedding for link prediction: A comparative analysis.

Neural-Symbolic Message Passing with Dynamic Pruning Knowledge graph embedding for link prediction: A comparative analysis

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.797106Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.203038Z digest=sha256:34adef532e9c7c77d966611a1611667c3f2f3817acd14eb5a2e5da888e183d21

Observation dbd9afb0-2908-4b4a-afc3-3c65d178333f · outbound

This paper cites O., Bedrax - Weiss, T., Pereira, F., and Cohen, W.

Neural-Symbolic Message Passing with Dynamic Pruning O., Bedrax - Weiss, T., Pereira, F., and Cohen, W

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.782772Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.207383Z digest=sha256:827ea891dc9229f511c41eb910cf3304c5465335c5a1404c5d14680d69da5dd0

Observation ea7e326a-0cb4-4192-bced-aaaeb2dfa6c6 · outbound

This paper cites Rotate: Knowledge graph embedding by relational rotation in complex space.

Neural-Symbolic Message Passing with Dynamic Pruning Rotate: Knowledge graph embedding by relational rotation in complex space

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.768421Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.211940Z digest=sha256:656b8d224f3d7e9f4855e50a36cb53e4582f65ceb177e811a9c9a6a46a9cea71

Observation 5ebeb123-37bf-4782-a297-c55df702a127 · outbound

This paper cites and Chen, D.

Neural-Symbolic Message Passing with Dynamic Pruning and Chen, D

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.754660Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.216474Z digest=sha256:8347013620b06789a78b2597fc5b9d288028c8db0d9c2efc47f14fd116377491

Observation a4998053-693c-48ce-b015-3aa1b363b3d6 · outbound

This paper cites Complex embeddings for simple link prediction.

Neural-Symbolic Message Passing with Dynamic Pruning Complex embeddings for simple link prediction

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.740122Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.220898Z digest=sha256:32161528b48d5d4348a5f71c7bc7b8b64852c2a4a4bf289639e0f9d662b0fe72

Observation 829946ba-c4a3-474e-a7ec-ca0211253d41 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Neural-Symbolic Message Passing with Dynamic Pruning N., Kaiser, ., and Polosukhin, I

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.225384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.225384Z digest=sha256:14fb6eaa97703e337bac55fbfe902a9dc44823ee89737a89fa2b735b4eba7d73

Observation b0e75143-2f75-44ce-bfe6-27cd4976f5f4 · outbound

This paper cites Graph Attention Networks.

Neural-Symbolic Message Passing with Dynamic Pruning Graph Attention Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.229704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.229704Z digest=sha256:92d05cacda790c4c599681f73a3593a5be11dc37c6db96961591ca32100c9c65

Observation 93d44fca-8c8b-48e9-932f-3fbfd69f59bb · outbound

This paper cites Benchmarking the combinatorial generalizability of complex query answering on knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Benchmarking the combinatorial generalizability of complex query answering on knowledge graphs

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.716246Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.234556Z digest=sha256:5a45412ef3b408913dd4d4691ee5fea76671e28d7f6189e21df00dbaa522f87b

Observation fe221022-6ffa-4689-ba65-2071b0bf9edb · outbound

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

Neural-Symbolic Message Passing with Dynamic Pruning Logical queries on knowledge graphs: Emerging interface of incomplete relational data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.701367Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.239252Z digest=sha256:95fafd805b4e8843a829522f5d08f1cd03ac48a216c0b0522804223aba055d03

Observation 577d6207-82f8-48b0-80af-feb3f24194a0 · outbound

This paper cites Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport.

Neural-Symbolic Message Passing with Dynamic Pruning Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:02:58.384274Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.243762Z digest=sha256:8de01e805bf18dd6d88c1284aeb48af3aa297f0350b7c523eb07ca49df23f690

Observation cfe5db55-704d-4724-8234-548c4034de87 · outbound

This paper cites Logical message passing networks with one-hop inference on atomic formulas.

Neural-Symbolic Message Passing with Dynamic Pruning Logical message passing networks with one-hop inference on atomic formulas

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.686997Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.248364Z digest=sha256:cf4f8963c8e9b2a2eaece91f033b998672d4d539b1583f02d227678dbaac28c0

Observation f4b0aec3-2138-4f58-b062-682e8843e976 · outbound

This paper cites an unresolved cited work.

Neural-Symbolic Message Passing with Dynamic Pruning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:02:58.672303Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.253020Z digest=sha256:392160a845dd8400fc579fd9cc5713c5853bd5f2c0d3dccd4daad9063012e7fe

Observation b47fe836-e021-4c53-8ae0-97594ecddedc · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations, 2019.

Neural-Symbolic Message Passing with Dynamic Pruning How powerful are graph neural networks? In International Conference on Learning Representations, 2019

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.257475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.257475Z digest=sha256:f6b099f402c0f0121e80b7cfa21b74787619333ff905b13e4913413e429c7af4

Observation 706f0dc8-dc19-42c5-b758-819960d89b5e · outbound

This paper cites Neural-symbolic entangled framework for complex query answering.

Neural-Symbolic Message Passing with Dynamic Pruning Neural-symbolic entangled framework for complex query answering

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.647216Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.262138Z digest=sha256:b13fba64c2d4d98e25d612e2d4cc0bd925f3659fffbb5ae2cffa9af0fd46c9ae

Observation b5f206de-818b-49a4-9978-43ac674c5386 · outbound

This paper cites W.-t., He, X., Gao, J., and Deng, L.

Neural-Symbolic Message Passing with Dynamic Pruning W.-t., He, X., Gao, J., and Deng, L

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.630580Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.266407Z digest=sha256:db93a64c086cb6979bf65e2254b2fcecfc6853ae92d30a55deecdfca00037c51

Observation ab56db05-02e9-4cc7-b6ae-5e8a37f7b44d · outbound

This paper cites Gammae: Gamma embeddings for logical queries on knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Gammae: Gamma embeddings for logical queries on knowledge graphs

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.614241Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.270910Z digest=sha256:165973a4a84515faa504b22bb744b2b38a5e50a4745eed165c1dcbb60016b3c4

Observation dfa2d1ea-7802-4552-a517-0aecac6a8c8c · outbound

This paper cites Rethinking complex queries on knowledge graphs with neural link predictors.

Neural-Symbolic Message Passing with Dynamic Pruning Rethinking complex queries on knowledge graphs with neural link predictors

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.597200Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.275647Z digest=sha256:3a19ef5aff67be553d3987ad35f29084d06fd9d01b0dc2d3aa0d43909acc5bf6

Observation 5dd01829-710e-4a16-89f4-e197bc14c8ed · outbound

This paper cites Do transformers really perform badly for graph representation? Advances in Neural Information Processing Systems, 34: 0 28877--28888, 2021.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.280020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.280020Z digest=sha256:9e40736d9c31510cc70d07e0f5df0d6297edd83e212ed10fcbdaea7bd86bbe54

Observation 011551c9-ecd8-4a00-804a-df22de004d43 · outbound

This paper cites R., and Smola, A.

Neural-Symbolic Message Passing with Dynamic Pruning R., and Smola, A

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.284248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.284248Z digest=sha256:955c5f1ff9d8d7350f86b3e9b0c4d2de496cb16c0e1a96bf9584531ba5b52035

Observation a7a5e48c-a43e-4591-ab19-893fba8ab891 · outbound

This paper cites Conditional logical message passing transformer for complex query answering.

Neural-Symbolic Message Passing with Dynamic Pruning Conditional logical message passing transformer for complex query answering

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.560682Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.288742Z digest=sha256:3ac32ca2cc3eeb0ce7946caca1da0d83dfd4770905d0a5878da3a6e3be5c95b6

Observation b92ccc90-949f-4cf6-892f-68d59319dc79 · outbound

This paper cites Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering.

Neural-Symbolic Message Passing with Dynamic Pruning Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:02:58.360384Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.293195Z digest=sha256:fd674921b96ef17b25ac6ea4166360222c10ebc59e7f4a17ff0bb1d49c755ac1

Observation 0dba518c-1848-4e0a-b09d-e6c6fc78a89c · outbound

This paper cites Cone: Cone embeddings for multi-hop reasoning over knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Cone: Cone embeddings for multi-hop reasoning over knowledge graphs

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.544978Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.297862Z digest=sha256:fcfcc6012359f339d2e04f2ced2e83e1dcbf8869337c9ff2e9866f96b0fa4eea

Observation fae970ee-9514-4ec5-9c22-7b42fd7fd5a9 · outbound

This paper cites Neural-symbolic models for logical queries on knowledge graphs.

Neural-Symbolic Message Passing with Dynamic Pruning Neural-symbolic models for logical queries on knowledge graphs

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.529109Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.302325Z digest=sha256:2bcb4e0e5526c22fd51be135599eb1aa98e8dbe3b68580fe34cb0c824a226283

Observation 4c888947-2848-4c99-9385-427dfca61f59 · outbound

This paper cites T., and Zhao, D.

Neural-Symbolic Message Passing with Dynamic Pruning T., and Zhao, D

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:02:58.513613Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T15:02:58.307183Z digest=sha256:ffbb55044d12b2861a7368fe456833514f7735ce5b3d52f7e1b83c9cb06189d2

Observation 720a876c-adac-4de0-876b-a15805a62da9 · outbound

This paper cites write newline.

Neural-Symbolic Message Passing with Dynamic Pruning write newline

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:58.311915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:58.311915Z digest=sha256:85b896c4c05bb09cf0c691f830546e3ba04237810ea1894a3e522dd1e7f0f788

Pith citing papers

No inbound Pith citation observations are available.