Paper Citation Record · LEDGER

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.18797.

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

pith.paper-citation-record.v1
2506.18797 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:19:29.242145Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:53:29.775425Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:53:36.353986Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy27
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05d9ed89-748a-4726-8d91-f7f98652c2b5 · outbound

This paper cites Chapter 12: Human microbiome analysis.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Chapter 12: Human microbiome analysis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:35.652767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c3a77e4-ea73-4977-88a2-d89e950e048f · outbound

This paper cites The healthy human microbiome.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction The healthy human microbiome

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:35.393978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1104fdac-1548-4a23-b2d5-8704e5357f6d · outbound

This paper cites Mapping human microbiome drug metabolism by gut bacteria and their genes.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Mapping human microbiome drug metabolism by gut bacteria and their genes

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:35.130652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e38e8238-7072-47fd-a566-e6c442a96392 · outbound

This paper cites What are the consequences of the disappearing human microbiota? Nature Reviews Microbiology, 7(12):887–894, 2009.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction What are the consequences of the disappearing human microbiota? Nature Reviews Microbiology, 7(12):887–894, 2009

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:34.937187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2b1a3c8-4046-43de-8dfa-a3dbffcdc25a · outbound

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

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:26.736585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a1a259-600b-4140-b981-8591a6e777f2 · outbound

This paper cites Predicting human microbe–drug associ- ations via graph convolutional network with conditional random field.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Predicting human microbe–drug associ- ations via graph convolutional network with conditional random field

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:34.741743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eff9c882-4cde-481f-af6b-881febba66ec · outbound

This paper cites Gnaemda: microbe-drug associations prediction on graph normalized convolutional network.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Gnaemda: microbe-drug associations prediction on graph normalized convolutional network

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:34.561076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b452f3f3-ba5d-4c3a-afc8-ec8d86eb7811 · outbound

This paper cites Microbe-disease association prediction using rgcn through microbe-drug- disease network.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Microbe-disease association prediction using rgcn through microbe-drug- disease network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:34.343646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bdea81a-84e9-487d-9c0c-9762d119bc41 · outbound

This paper cites Graph attention networks.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Graph attention networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:34.053267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation caf3d08b-d981-474e-af46-33c67e5344aa · outbound

This paper cites Ensembling graph attention networks for human microbe–drug association predic- tion.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Ensembling graph attention networks for human microbe–drug association predic- tion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:33.830866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5d4da89-a23a-4e56-8ade-3912bed2f864 · outbound

This paper cites Mgatmda: Predicting microbe-disease associations via multi-component graph attention network.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Mgatmda: Predicting microbe-disease associations via multi-component graph attention network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:33.618358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0230a266-f2e8-4b6f-90f3-41b78a7f2668 · outbound

This paper cites Heterogeneous graph attention network.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Heterogeneous graph attention network

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:33.396846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2c170b8-4ba1-4af4-9a67-b6477c0c3a69 · outbound

This paper cites Mdmd: a computational model for predicting drug- related microbes based on the aggregated metapaths from a heterogeneous network.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Mdmd: a computational model for predicting drug- related microbes based on the aggregated metapaths from a heterogeneous network

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:33.158697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84b1dad3-fa7a-446f-9301-7f62e9b923f0 · outbound

This paper cites Multi-scale topology and position feature learning and relationship- aware graph reasoning for prediction of drug-related microbes.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Multi-scale topology and position feature learning and relationship- aware graph reasoning for prediction of drug-related microbes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:32.888549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c76c9c64-74d3-486a-b681-2613939183a1 · outbound

This paper cites Dynamic category- sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe pre- JOURNAL OF LATEX CLASS FILES, VOL.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Dynamic category- sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe pre- JOURNAL OF LATEX CLASS FILES, VOL

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:32.627392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2aecd90-a7f6-4302-8bb8-071750dc16cd · outbound

This paper cites Mkgcn: multi-modal knowledge graph convolutional network for music recommender systems.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Mkgcn: multi-modal knowledge graph convolutional network for music recommender systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:32.451242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca5e6cd4-2edf-4658-9933-8423be44cd89 · outbound

This paper cites Gacnnmda: a com- putational model for predicting potential human microbe- drug associations based on graph attention network and cnn-based classifier.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Gacnnmda: a com- putational model for predicting potential human microbe- drug associations based on graph attention network and cnn-based classifier

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:32.226670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 93691fd6-8161-46f8-a6c5-75f473efdcdf · outbound

This paper cites Predicting of microbe-drug asso- ciations via a pre-completion-based label propagation algorithm.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Predicting of microbe-drug asso- ciations via a pre-completion-based label propagation algorithm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:32.000929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 789cfbd6-bd98-43f6-874a-5ad30bd6b03d · outbound

This paper cites A data-driven approach for predicting the impact of drugs on the human microbiome.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction A data-driven approach for predicting the impact of drugs on the human microbiome

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:31.766316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17210654-9ee4-427f-9d0c-e135d800856e · outbound

This paper cites Prediction of microbe-drug associations based on katz measure.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Prediction of microbe-drug associations based on katz measure

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:31.535072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 936fcf8e-af73-46e2-b0fa-31734f8513a1 · outbound

This paper cites Association mining to iden- tify microbe drug interactions based on heterogeneous network embedding representation.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Association mining to iden- tify microbe drug interactions based on heterogeneous network embedding representation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:31.345777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2e20bb5-3e8f-4e0b-9e2e-ea216638fdbf · outbound

This paper cites Predicting microbe-drug association based on similarity and semi-supervised learning.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Predicting microbe-drug association based on similarity and semi-supervised learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:31.095420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 090d3e54-e36e-48e5-bf6e-9e2b4c2bae7a · outbound

This paper cites Gsamda: a com- putational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Gsamda: a com- putational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:30.822145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a8a6088-5fdf-4f26-ab6a-d2bb261aca99 · outbound

This paper cites A survey on information bottleneck.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction A survey on information bottleneck

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:30.618781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4b96739-a952-4f1e-b504-46b9cd962546 · outbound

This paper cites Mdad: a special resource for microbe-drug associations.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Mdad: a special resource for microbe-drug associations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:30.382127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8bdcb2fa-1351-411e-a8d8-19744ef93e20 · outbound

This paper cites Predicting microbe–drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Predicting microbe–drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:30.157642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2285683-d257-4f71-8b3c-b0470d77ab5d · outbound

This paper cites Multimodal evaluation of drug antibacterial activity reveals cinnamaldehyde analog anti-biofilm ef- fects against haemophilus influenzae.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Multimodal evaluation of drug antibacterial activity reveals cinnamaldehyde analog anti-biofilm ef- fects against haemophilus influenzae

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:29.938639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ec0b15f-078e-4e3a-a967-e50d2b9f2259 · outbound

This paper cites The vibrio cholerae type vi secretion system: toxins, regulators and consequences.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction The vibrio cholerae type vi secretion system: toxins, regulators and consequences

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:19:29.745708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45f94ff9-60af-4aaa-88b4-edc37bad58dc · outbound

This paper cites an unresolved cited work.

A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:19:29.536423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation b47a400e-41df-4d78-b66f-418851a031fa · inbound

SOC-DGL: Social Interaction Behavior Inspired Dual Graph Learning Framework for Drug-Target Interaction Identification cites this paper.

SOC-DGL: Social Interaction Behavior Inspired Dual Graph Learning Framework for Drug-Target Interaction Identification A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:53:36.416888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.