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Paper Citation Record · LEDGER

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.12910.

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

pith.paper-citation-record.v1
2505.12910 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:29:16.114498Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52e415d4-f867-490d-a041-a301d47ccfd4 · outbound

This paper cites EPA: Exoneration and prominence based age for infection source identification.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs EPA: Exoneration and prominence based age for infection source identification

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fd691e03-e5e4-41d2-8f4d-cf7ed9e3fe94 · outbound

This paper cites Graph mamba: Towards learning on graphs with state space models.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Graph mamba: Towards learning on graphs with state space models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7dc8f44a-3abc-49e5-bbe8-0f4c5aa84260 · outbound

This paper cites On visual similarity based 3d model retrieval.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs On visual similarity based 3d model retrieval

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 45a9e3a6-efa3-4cda-9d66-0f456f5306aa · outbound

This paper cites Generative hypergraph clustering: From blockmodels to modularity.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Generative hypergraph clustering: From blockmodels to modularity

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a32171e3-dffd-4dde-a542-71ca6801ba22 · outbound

This paper cites Social contagion models on hypergraphs.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Social contagion models on hypergraphs

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fca73fdf-e9cf-4a6a-8898-c8f7f3caa86f · outbound

This paper cites Multiple ru- mor source detection with graph convolutional networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Multiple ru- mor source detection with graph convolutional networks

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2e07ef0a-c150-4153-a83a-34c46fbef53d · outbound

This paper cites Wavefront- based multiple rumor sources identification by multi-task learning.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Wavefront- based multiple rumor sources identification by multi-task learning

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3cc5f29-e396-42c7-9eff-d7b6dab97161 · outbound

This paper cites Hypergraph neural networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Hypergraph neural networks

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d991be71-6219-4241-962e-8a8ab609cbb1 · outbound

This paper cites Backdoor attacks on unsu- pervised graph representation learning.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Backdoor attacks on unsu- pervised graph representation learning

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:16.017555Z digest=sha256:01b7b6a948d357b220edf2b121de036e4b158406695586d93d50a521663b278b

Observation 22556d14-2663-4838-b958-e78d6616e323 · outbound

This paper cites HGNN+: General hypergraph neural networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs HGNN+: General hypergraph neural networks

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fd06a388-d55d-4597-91cd-9b9894e30db3 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:16.024951Z digest=sha256:8719c8ca870bf42627fcf1cfe5e28994b225f32e780eead538ba71fe780cec0d

Observation 85bbe1bc-f78f-4de6-8eca-ec5a69b0e4de · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 19

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raw_fallback, observed 2026-08-15T20:29:16.404118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.033538Z digest=sha256:4b2f9e2e130a0b89563d7ceb954248fc7d6eccd6f91a442e21ba71dab8f7997a

Observation 6c832ab3-bc97-47c2-9705-59798022e598 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Efficiently modeling long sequences with structured state spaces

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c2c12f2a-e4f4-416c-b96f-0a552a204a73 · outbound

This paper cites Enhancing multi-scale diffusion prediction via sequential hypergraphs and adver- sarial learning.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Enhancing multi-scale diffusion prediction via sequential hypergraphs and adver- sarial learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.041828Z digest=sha256:010001fbb1c4bf75c47683c139708d26a77dec200341206870b7ad02192a7ce9

Observation 10d580ff-263e-4a71-8d33-99d98744916b · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Semi-supervised classification with graph convolutional networks

Reference 22

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raw_fallback, observed 2026-08-15T20:29:16.370146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.045792Z digest=sha256:585315cddae17b9d4a379458af6474f60367f35362f3003a000370d1b9a08009

Observation c3e9765b-06db-49fe-92af-69f6cba650a1 · outbound

This paper cites PointMamba: A simple state space model for point cloud analysis.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs PointMamba: A simple state space model for point cloud analysis

Reference 24

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raw_fallback, observed 2026-08-15T20:29:16.347775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.052723Z digest=sha256:e74ac3bb40b970b11c272f64c81223c4bd7833d32172103dd572cb6c5ed2524c

Observation 5e76650e-eb79-44c3-9a1b-94f28af5bdd1 · outbound

This paper cites Source localization of graph diffusion via variational autoencoders for graph inverse problems.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Source localization of graph diffusion via variational autoencoders for graph inverse problems

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.056294Z digest=sha256:5d7834dd73681f0a6440796c5f6c301f6fe46e598e9c120bc159a41a684e2bc5

Observation 80485dee-245e-45f3-bb60-85e88f47c7a0 · outbound

This paper cites Active surveillance via group sparse bayesian learning.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Active surveillance via group sparse bayesian learning

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.059807Z digest=sha256:40087b33c4fee35b5a10c8eef6514513f53e0820acc062d1d8ae7f458a7ff2e4

Observation 9cda90af-d4df-4799-8103-1a0374d5e706 · outbound

This paper cites Multi-track message passing: tackling oversmoothing and oversquashing in graph learning via preventing heterophily mixing.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Multi-track message passing: tackling oversmoothing and oversquashing in graph learning via preventing heterophily mixing

Reference 27

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raw_fallback, observed 2026-08-15T20:29:16.315037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 80b58ff1-dd47-4394-b756-2c0184a93753 · outbound

This paper cites Locating the source of diffusion in large-scale networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Locating the source of diffusion in large-scale networks

Reference 28

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raw_fallback, observed 2026-08-15T20:29:16.303967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7ba1c678-e031-4202-bd12-8c2f8ba31514 · outbound

This paper cites Rumors in a network: Who’s the culprit? IEEE Transac- tions on Information Theory, 57(8):5163–5181,.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Rumors in a network: Who’s the culprit? IEEE Transac- tions on Information Theory, 57(8):5163–5181,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.073801Z digest=sha256:04cf0f608646eb38141f693054e1550a2cc08201068d378737aab1b2e1f7f5f7

Observation cdbedc9f-2138-4c46-b141-77dddc8f7e40 · outbound

This paper cites On the equivalence between posi- tional node embeddings and structural graph representa- tions.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs On the equivalence between posi- tional node embeddings and structural graph representa- tions

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.082776Z digest=sha256:60a48d93273320e97f2927a6a5791b28ad8d4eba79a31fa1be21640a1129716e

Observation 0fbadaba-1eb4-4342-a94b-dcd6513edd9f · outbound

This paper cites Multiple source detection without knowing the underlying propagation model.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Multiple source detection without knowing the underlying propagation model

Reference 33

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raw_fallback, observed 2026-08-15T20:29:16.258091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.087477Z digest=sha256:a28c81c6aa558c26b86e7ae1a787dd3369ea407a4e45292ac19b6330c6d01d8e

Observation 83bcdb98-3310-4f0f-afb9-854ef17ff4af · outbound

This paper cites An invertible graph diffusion neural network for source localization.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs An invertible graph diffusion neural network for source localization

Reference 34

Resolution
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raw_fallback, observed 2026-08-15T20:29:16.246790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.091282Z digest=sha256:8111c983af427a8d2a7f517c862cae7e717294926b6028a19072f62188d78331

Observation 9282782e-7a7e-434f-ae78-64a14b5717ba · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs 3d shapenets: A deep representation for volumetric shapes

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:29:16.094879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:16.094879Z digest=sha256:2310e36e2aa89a0d09a54f43d9a82816b407680368d103618841bd60e3dfc67f

Observation 663aa1da-5e3b-4329-84ea-09dae960671d · outbound

This paper cites Locating the propaga- tion source in complex networks with a direction-induced search based gaussian estimator.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Locating the propaga- tion source in complex networks with a direction-induced search based gaussian estimator

Reference 37

Resolution
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raw_fallback, observed 2026-08-15T20:29:16.216739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.102153Z digest=sha256:b9b4413eb33bf1229edf1f9f862da2a70dd355f8695bfb75f20253e05226f9b3

Observation 11acb97a-b709-4109-922a-74417fb03723 · outbound

This paper cites Dynamic hypergraph convolutional network.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Dynamic hypergraph convolutional network

Reference 38

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raw_fallback, observed 2026-08-15T20:29:16.203936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.105864Z digest=sha256:f83474b68d504f33978c7128ac1a5be496377e9df4cd48c74ef7e15c04c4144e

Observation 4f2e80b9-4738-4380-a3b3-78a9955e98d2 · outbound

This paper cites Catch’em all: Locating multiple diffusion sources in net- works with partial observations.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Catch’em all: Locating multiple diffusion sources in net- works with partial observations

Reference 39

Resolution
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raw_fallback, observed 2026-08-15T20:29:16.192315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.109610Z digest=sha256:7f34680b6d0b2b938bb98b9cdeb6daca3b93756490f423df2b2e0a5b78044223

Observation e1dd52db-16dc-4644-a9fa-885dd64481a9 · outbound

This paper cites Locating multi-sources in social networks with a low infection rate.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Locating multi-sources in social networks with a low infection rate

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:16.180966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.114498Z digest=sha256:54e723b7083ab6de37970573b8497d762737f7159455e8a6025e2d0291d1d8b8

Observation 1e13a576-725d-4fc0-9f0d-f9377e03a76a · outbound

This paper cites Hypergraph convolution and hypergraph attention.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Hypergraph convolution and hypergraph attention

Reference 2007

Resolution
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raw_fallback, observed 2026-08-15T20:29:16.562900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:15.972250Z digest=sha256:c6e0281534b72dcf03186d83106864639570b379658b9199322825c12a1dd77b

Observation fc50f832-a4de-457e-9e71-31ebf3133717 · outbound

This paper cites Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Finding Patient Zero: Learning Contagion Source with Graph Neural Networks

Reference 2011

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no resolver link, observed 2026-08-15T20:29:16.077546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:16.077546Z digest=sha256:f1f218b79d328de1736f79efb4cf7fe52852748ea6d9fc7b82a09780253e8c0e

Observation 4fa64c8d-076e-4765-aa2f-b50ca53d3f41 · outbound

This paper cites Spotting culprits in epidemics: How many and which ones? In 2012 IEEE 12th International Conference on Data Mining, pages 11–20.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Spotting culprits in epidemics: How many and which ones? In 2012 IEEE 12th International Conference on Data Mining, pages 11–20

Reference 2012

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raw_fallback, observed 2026-08-15T20:29:16.292000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.070281Z digest=sha256:9e15a06158969a03f7dd592895ff0c525aa6f2f4ed3bcafde7e4ae455b57d766

Observation 78807a7d-dbb5-434b-8f62-ed611ec7860c · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Hypergcn: A new method for training graph convolutional networks on hypergraphs

Reference 2015

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raw_fallback, observed 2026-08-15T20:29:16.228308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.098339Z digest=sha256:0a436eac1ecebe069bb2d8ea399b3d0413bd661ea6cd4c842ec586372c0f6c2a

Observation 0c7551c2-2dcc-4abe-bdc9-09b1635498a7 · outbound

This paper cites Propagation source identification of infec- tious diseases with graph convolutional networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Propagation source identification of infec- tious diseases with graph convolutional networks

Reference 2017

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verified fuzzy
raw_fallback, observed 2026-08-15T20:29:16.359280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:16.049447Z digest=sha256:4ca79f1ced222f5f112addee65c809ea0cc93615f8ac5db9d15bbc2bd9c67222

Observation 61488d32-8dc9-4bff-8ceb-a4ce89d0d09a · outbound

This paper cites Clustering in graphs and hypergraphs with cate- gorical edge labels.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Clustering in graphs and hypergraphs with cate- gorical edge labels

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:16.585899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:15.964294Z digest=sha256:07b9fe0fd9ee36b08a5b18f18742050b086dae55eb6238456d62755a0c44c722

Observation 8941461e-6ebb-4dfb-882a-1ba6da6febb5 · outbound

This paper cites Uci machine learning repository,.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Uci machine learning repository,

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T20:29:15.968300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:15.968300Z digest=sha256:866009fc4e536610a54a4a79f40006882372621b4919c8278461c20332eb6745

Observation b9ed43ad-1857-422f-bd1e-2ed4c2772f85 · outbound

This paper cites Graph contrastive learning for source localization in social networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Graph contrastive learning for source localization in social networks

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:16.550775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:15.976394Z digest=sha256:052dfbccc2c516f25bc6f70490cf0b5d06a7adba68baabbef09ebaa300bfd51e

Observation 4bf52813-e9ab-4250-9cec-d9845e0d1567 · outbound

This paper cites Benchmarking Graph Neural Networks.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Benchmarking Graph Neural Networks

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T20:29:16.009415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:16.009415Z digest=sha256:9031710fc41258f00d64cb919be7e7181d244e569e4b13bcee06f385015258fb

Observation dbf78bb7-269e-4630-ad59-f1c69e1730a0 · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Hippo: Recurrent memory with optimal polynomial projections

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T20:29:16.029855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:16.029855Z digest=sha256:3836ea74d4101f3e8f3ce75078b12ba599f316c811561b548ca783e26a177eaf

Observation 427c7d20-5b28-4b74-bda0-ed698cc8a959 · outbound

This paper cites Networks beyond pairwise interactions: Structure and dynamics.

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Networks beyond pairwise interactions: Structure and dynamics

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:16.537836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:29:15.981175Z digest=sha256:e97cd1e1b6fc67c4a695eccea3f6fce45c5b8cf8b92b9cd3eaa41ca809c92232

Pith citing papers

No inbound Pith citation observations are available.