Paper Citation Record · LEDGER

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation

As of 4 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2605.11468.

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

pith.paper-citation-record.v1
2605.11468 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T01:52:23.038362Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:39:14.928129Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

verified exact9
verified fuzzy35
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c766b71-0dfb-4e48-b159-2a7b4d58e9df · outbound

This paper cites Rumor detection on social media with bi-directional graph convolutional networks.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Rumor detection on social media with bi-directional graph convolutional networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.879328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 291f10f2-4bd9-4643-b927-dd7396b6fde7 · outbound

This paper cites How attentive are graph attention networks?Interna- tional Conference on Learning Representations, ICLR.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation How attentive are graph attention networks?Interna- tional Conference on Learning Representations, ICLR

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.875665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4061819b-b71e-4865-8da0-32f15c64bc5e · outbound

This paper cites Multimodal graph neural architecture search under distribution shifts.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Multimodal graph neural architecture search under distribution shifts

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.868712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2dd8b541-2975-4e45-999a-97dc5b2feab3 · outbound

This paper cites Nagphormer: A tokenized graph transformer for node classification in large graphs.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Nagphormer: A tokenized graph transformer for node classification in large graphs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.883572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 189019bc-eed3-4d39-aaf5-7fa82cb75442 · outbound

This paper cites Simple and deep graph convolutional networks.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Simple and deep graph convolutional networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.877469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 397cba26-7fa4-4b80-89a3-0433797482c3 · outbound

This paper cites Redcaps: Web-curated image-text data created by the people, for the people.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Redcaps: Web-curated image-text data created by the people, for the people

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.873568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64d83f87-6463-48c3-85de-6dd640645584 · outbound

This paper cites MLaGA: Multimodal Large Language and Graph Assistant.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation MLaGA: Multimodal Large Language and Graph Assistant

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-11T02:08:32.448117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 08288871-1836-4736-9ef0-f2f6b5067e04 · outbound

This paper cites Graphgpt- o: Synergistic multimodal comprehension and generation on graphs.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Graphgpt- o: Synergistic multimodal comprehension and generation on graphs

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.881163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee4d57c1-d5d9-4beb-b4b6-e0420c551a61 · outbound

This paper cites SIGN: Scalable Inception Graph Neural Networks.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation SIGN: Scalable Inception Graph Neural Networks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.236741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3a6070c-51df-4126-9e01-7153e1f41451 · outbound

This paper cites How to read paintings: semantic art understanding with multi- modal retrieval.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation How to read paintings: semantic art understanding with multi- modal retrieval

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.866659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f3192e1-b763-4562-8988-f7b97b7dc489 · outbound

This paper cites Disentangling Homophily and Heterophily in Multimodal Graph Clustering.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Disentangling Homophily and Heterophily in Multimodal Graph Clustering

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.224336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 777bd31a-3ed7-4365-a7f1-572f0ded434c · outbound

This paper cites Lgmrec: Local and global graph learning for multimodal recommendation.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Lgmrec: Local and global graph learning for multimodal recommendation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.896965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation def94cd0-18ab-4538-979d-e46933b26e24 · outbound

This paper cites UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.209604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69c7090e-5af0-4817-a44d-398b244f21a7 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-13T01:57:06.214298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8f5d857-329a-47cf-a1e1-f38838e71898 · outbound

This paper cites Ntsformer: A self-teaching graph transformer for multimodal isolated cold-start node classification.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Ntsformer: A self-teaching graph transformer for multimodal isolated cold-start node classification

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.909931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f13cfad-041e-461e-886f-b99e920b88b8 · outbound

This paper cites Modality-independent graph neural networks with global transformers for multimodal recommendation.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Modality-independent graph neural networks with global transformers for multimodal recommendation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.905503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6411fa40-f8a9-4541-b5c5-8f7a9619ad59 · outbound

This paper cites Mgdcf: Distance learning via markov graph diffusion for neural collaborative filtering.IEEE Transactions on Knowledge and Data Engineering, 36(7):3281–3296.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Mgdcf: Distance learning via markov graph diffusion for neural collaborative filtering.IEEE Transactions on Knowledge and Data Engineering, 36(7):3281–3296

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.915657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbaf0cc0-a87a-4b7d-b596-54c2d950cad9 · outbound

This paper cites Instructg2i: Synthesizing images from multimodal attributed graphs.Advances in Neural Information Processing Systems, 37:117614–117635.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Instructg2i: Synthesizing images from multimodal attributed graphs.Advances in Neural Information Processing Systems, 37:117614–117635

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.907737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e8c5559-2571-41df-b895-6e680aa87978 · outbound

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

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Semi-supervised classification with graph convolutional networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.901476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85db8361-1928-4956-b447-9232ed9f3b7f · outbound

This paper cites C-mag: Cascade multimodal attributed graphs for supply chain link prediction.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation C-mag: Cascade multimodal attributed graphs for supply chain link prediction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.891387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9223bd7a-ea7b-4ed8-a9fa-4b03dd88e48d · outbound

This paper cites Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.218916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01d0f77b-4f65-4b2c-b5ce-3750e420c325 · outbound

This paper cites Justifying recommendations using distantly- labeled reviews and fine-grained aspects.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Justifying recommendations using distantly- labeled reviews and fine-grained aspects

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.925897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4abc29a4-93a3-4e99-83b9-58168848bef3 · outbound

This paper cites Justifying recommendations using distantly- labeled reviews and fine-grained aspects.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Justifying recommendations using distantly- labeled reviews and fine-grained aspects

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.919306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0da4f8c-3837-43b2-94ab-98de5ff8e3ef · outbound

This paper cites Graph4mm: Weaving multimodal learning with structural information.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Graph4mm: Weaving multimodal learning with structural information

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.893273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8cc1e934-8096-4e26-8b56-ee674a1f2c89 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Dinov2: Learning robust visual features without supervision

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.929658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38ddb93c-12b8-48a8-b400-f9229b6341a1 · outbound

This paper cites Learning transferable visual models from natural language supervision.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Learning transferable visual models from natural language supervision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.903585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73647728-3978-4676-8d86-6a61610ad478 · outbound

This paper cites MGAT: multimodal graph attention network for recommendation.Inf.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation MGAT: multimodal graph attention network for recommendation.Inf

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.895108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation acc755f4-90de-44a5-8b1f-c2ca1d63ed3d · outbound

This paper cites Graph attention networks.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Graph attention networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.889442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 287f7066-0c73-4c0d-9d4d-06c4d8803aa7 · outbound

This paper cites arXiv preprint arXiv:2602.05576 , year =.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation arXiv preprint arXiv:2602.05576 , year =

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.203651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0e246094-0970-42b3-bb90-c78c5b2cd789 · outbound

This paper cites Item recommendation on monotonic behavior chains.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Item recommendation on monotonic behavior chains

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.917432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 043c3869-902f-46d1-918e-31e745ea0975 · outbound

This paper cites Fine-grained spoiler detection from large-scale review corpora.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Fine-grained spoiler detection from large-scale review corpora

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.921813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e42fd1b-e9bd-4151-9322-bc59ea4457ab · outbound

This paper cites Qwen2-vl: Enhancing vision- language model’s perception of the world at any resolution.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Qwen2-vl: Enhancing vision- language model’s perception of the world at any resolution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.885568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b64d85b-eb04-4410-84f0-10aac04b58e8 · outbound

This paper cites Towards multi-modal graph large language model.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Towards multi-modal graph large language model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.198299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c600e5ea-8afa-4228-8daf-ad43bde76c55 · outbound

This paper cites MMGCN: multi-modal graph convolution network for personalized recommendation of micro- video.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation MMGCN: multi-modal graph convolution network for personalized recommendation of micro- video

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.940489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea16750a-4a15-4952-b7f4-7ad27af3fbdd · outbound

This paper cites Simplifying graph convolutional networks.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Simplifying graph convolutional networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.911867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 062bdd4c-39bc-4a38-b85d-6b6c1451dad9 · outbound

This paper cites A comprehensive survey on graph neural networks.IEEE Transactions on Neural Networks and Learning Systems, 32(1):4–24.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation A comprehensive survey on graph neural networks.IEEE Transactions on Neural Networks and Learning Systems, 32(1):4–24

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.924004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 44e1dfe6-9294-4a62-8d4f-833fae1c4756 · outbound

This paper cites When graph meets multimodal: benchmarking and meditating on multimodal attributed graph learning.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation When graph meets multimodal: benchmarking and meditating on multimodal attributed graph learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.887486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c588142-a266-41f4-b325-4ff552029350 · outbound

This paper cites Multimodal Graph Learning for Generative Tasks.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Multimodal Graph Learning for Generative Tasks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.192697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 414a1a3e-4a30-4e00-894d-061aafec41dc · outbound

This paper cites Node dependent local smoothing for scalable graph learning.Advances in Neural Information Processing Systems, NeurIPS.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Node dependent local smoothing for scalable graph learning.Advances in Neural Information Processing Systems, NeurIPS

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.899039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73f59392-3362-470d-b327-a30e8ca220a2 · outbound

This paper cites Graph attention multi-layer perceptron.Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Graph attention multi-layer perceptron.Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.927838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 284b242d-dea4-4e46-adaf-d90ef675e7a6 · outbound

This paper cites Cross-contrastive clustering for multimodal attributed graphs with dual graph filtering.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Cross-contrastive clustering for multimodal attributed graphs with dual graph filtering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.934314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2cd636a6-64ba-4ffa-8206-ac0815bb8c86 · outbound

This paper cites Graph neural networks: Taxonomy, advances, and trends.ACM Transactions on Intelligent Systems and TechnoLoGy, 13(1):1–54.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Graph neural networks: Taxonomy, advances, and trends.ACM Transactions on Intelligent Systems and TechnoLoGy, 13(1):1–54

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.938427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cdbac838-0604-4d8a-92c8-1d6d7358b2c3 · outbound

This paper cites Toys & Games.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Toys & Games

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.913763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1177b2a4-a107-499d-97ed-e404711261fe · outbound

This paper cites Limitations.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Limitations

Reference 44

Resolution: malformed identifier; raw_fallback, observed 2026-05-13T14:12:50.936368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 585a3029-23c5-474f-922d-fdf65a112079 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T14:12:50.932391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation a68425db-14ca-4066-838b-39751a0ac4f3 · inbound

Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework cites this paper.

Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation

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