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Paper Citation Record · LEDGER

Neural-Symbolic Message Passing with Dynamic Pruning

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.

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.076667Z digest=sha256:888e7c1b3fe42e293520fbf50630ae50aa219dde3fb62a38198a404faa0de487

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.081628Z digest=sha256:16b09cb7b36fc362f6457e028cd5826d2c6fd0a478986ddfc428813388a59110

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.086132Z digest=sha256:7b41f1c5a0b786b372ce04ff5eb2962fc90b1b86980e827bdbc926ad57914fb7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.090983Z digest=sha256:c1f427420173fc73a0d9b3796d95ab99efa337677b25cca18588a58901992fe1

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=sha256:6d14d3f38d126d7aface45fdc68a94e5c69b70c7363564a84a2148d18463022d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.101897Z digest=sha256:e89867451de2d69cab41525da413a22c98995634c236ac130eb1cbca4fc3f3f0

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.112385Z digest=sha256:81543fd3dcfd0d1f867b1dea96e8b324e0d209b2c4c5149611d6131bd757f681

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.117228Z digest=sha256:95dea246360c0164d286a2c4cf6d8a7c0451a9d8fcd1fcb06a13ac6d03349b0d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.121510Z digest=sha256:fae268dfb9ea5afd1819a2796c97a07435abb0cf73e13cd59726da8a0d786766

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.125872Z digest=sha256:eb6b1d5fafd3dad13439ffc7e6d2decbc344874ef65b43140e2b5d330788e773

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.130870Z digest=sha256:e615bd95fdd23107929e22f847c14a22f9896f5a21070bddb39f334c8afc5dcf

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.139782Z digest=sha256:615c2328f685b7487f89dbe38dca0a6c92eb74e6ff7adbc904af99be82c6d4a9

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.144310Z digest=sha256:b20a2d635bca01fee48b093ab91c1ff588cd4ed4243e4aa83bb22d8273ec87e2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.148632Z digest=sha256:b1aadcd833dc715e91db663982c2814cb44b3382787010b567c8ce7559d8ec14

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=sha256:97a59b5cceaede3cea2d805f21439a7a8c9dc9516ccdb6e8492ebc07a90036a3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.161908Z digest=sha256:c7e19f085e74d1e1e7ff4f021f3c491773df662fbd5e53eb2053917fef87b253

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.166491Z digest=sha256:487ecd68bce8c5110cf58776545c976a83172f57c345e22faeff184104f46ae2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.170865Z digest=sha256:8d5e17d71d6b99c3290913e381ab0618efa4280a97a7dd0d50c41150111a0ea6

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.175466Z digest=sha256:951ef7ed659423169ac341fa83195bb4aef4c93cadc30d95c38a0e483cf76777

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:fda9879740df869898849f836512a12633ae798ee777a0e78f2cd399a11150f0

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.184561Z digest=sha256:be6b2d848fb7e6ae939bfa99c2532099ccb392f6149e0fca2b849da2c95bb84b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.188947Z digest=sha256:b113ba81ac529eb012c102d0e133b3dc79be022f3088d7c053a81dc6a21a92b6

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:e7829c6f894c6b0bca1b9ca9428159661e55b95dd4781ab98d4bcda071d536c4

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.198593Z digest=sha256:481824072d8068f4045d305c0f5d5eb9ba3c9f64659d27527dd6ee9ecf383ed8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.203038Z digest=sha256:4fe2b7841afc9e486a9966a55a088bd095e41d5269d82a7f9f8374e343dda6ff

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.207383Z digest=sha256:2075d62ebd379070745853838f9f889594e66768554b9cfb7791487f5b232835

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.211940Z digest=sha256:f1b769f5433f608b637d1752e0542ea647373acf9949ae0af11cef8ec3a4347b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.216474Z digest=sha256:be9c0e1d01dc73d20f7ca8f79dc1feeec87aad0d39bf20f3d74efb56e29e2561

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.220898Z digest=sha256:4b250efcfeb82e7d7326734733f99d8a2597896df5c00f62d36d57ed58493d55

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=sha256:17bc589fbb6471c747657b1db4517715b9880ec75bb1c0263f9befcebf3fd8a2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.234556Z digest=sha256:a68bf6baa44039a57f849458242623f2739456026e37e405586e2c5759e0a65d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.239252Z digest=sha256:c89e1a89b412eeeaf29146cb31e9c392580d3fd3737c1f75e9633de7389c0f12

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.243762Z digest=sha256:bf65f770e6cb7b970a89f95acd0657aced026c7f5ce7509475c66a6435fdf7b5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.248364Z digest=sha256:f62979faec714ef6bead34b44c8d2dc85885d22b6519cd1131bcd025a7af2166

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.253020Z digest=sha256:e9573c708d202cb98c3bc5d75699976dbfb2c729999fde6d8a20a616c5adb1c5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.262138Z digest=sha256:27fe79dd7133c0bc655076ee64af2620335b28b2e5622060372a92d6005e2588

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.266407Z digest=sha256:2633b78ab7aade3fb15c6f64928cff0b31f19875efe72b90c9fb64c194ad4625

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.270910Z digest=sha256:58cedf39f4dbdce5e5c06d67c9642a78aa7cab3da113052ab5ed9fabf47c7382

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.275647Z digest=sha256:d8d132a81b040ef87dc4a2b09a2094216885c7eab87aab537afc4c16ff88d223

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.288742Z digest=sha256:456b408c32ec7fa08e0e16373b04187c5cd2adfcd28e3372cb481b4e2f7ef5b3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.293195Z digest=sha256:27a6ed68d5b9ec27b8a9bf299670147e9d587006cb3a15f243f17ea1595d8671

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.297862Z digest=sha256:f759432845818bae4d61e9cbfc5544816bc2fc844bcdd44b0a9e2af2be0e8f07

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.302325Z digest=sha256:09327f81806b7d9888eb549b8689ecddc97c090d9ea28b48c3f259f41d3bf37d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:02:58.307183Z digest=sha256:16641fab6aa7e3668e2b90c358896abd7a93a2234e6dc9f20a72fa13b9188d02

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.