Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:58:41.720108Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2411.12126.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:58:41.720108Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:30:41.749447Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:54:48.866758Z
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2c553f29-0348-4f06-9cbb-010cd4a8d261 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36e840f6-66ad-4d61-9dbb-962b705292ed · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation 226edffd-9eef-41c6-85f2-926452a697e6 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5085ae06-c11d-4f0d-ac60-cc27776b4032 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c50c578d-5594-4696-8ff6-fb144b0df33a · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 5
Source-reported events for the cited work
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Observation 7f729f38-0259-48a1-9b2a-8daa4d61a009 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 6
Source-reported events for the cited work
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Observation f57db069-0a7c-4c6f-8241-a3455fa1e6c4 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 7
Source-reported events for the cited work
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Observation 415678e3-cb08-4c9d-9cab-ae8a4301a414 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 8
Source-reported events for the cited work
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Observation 6dec36cb-0881-4d2f-bce0-67cfaccb74ae · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Reference 10
Source-reported events for the cited work
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Observation d90edd30-d390-4067-b29f-948c1e47ec7f · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 11
Source-reported events for the cited work
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Observation 18a3773f-ca53-49f1-929c-1f3a7175f8ab · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 12
Source-reported events for the cited work
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Observation c6e9ed83-4eb7-4eb6-ab7d-31a419e3c359 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdaf7c99-df03-49e4-ad9a-15a1fcd53ad7 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation 5f023c47-9a73-408a-92a6-e937d1fd0aea · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 15
Source-reported events for the cited work
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Observation 2a530f62-bc03-4fdb-b793-c84065831bb8 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 16
Source-reported events for the cited work
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Observation 6a3a277b-f1b5-4537-9e47-4621cbcb9c9f · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation c5418a2a-707e-4313-9f7e-e8b33c96d9a1 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 86bfb03e-b860-4e8b-88fe-7e41afdb316c · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 308f217e-f488-4356-bc40-a7d9fa304b70 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
Reference 20
Source-reported events for the cited work
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Observation 035f2e63-56bc-4b17-886c-d41eae924f4f · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6ab52af-c4aa-4a47-bdb9-801103f83194 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 22
Source-reported events for the cited work
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Observation 3d4944c5-3add-4bae-b065-c9da6e8f5df3 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 23
Source-reported events for the cited work
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Observation 3504370d-f4cc-4ed2-b897-a9e321e84929 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 24
Source-reported events for the cited work
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Observation 34a02c22-4ced-4f22-b730-27ebfcd9ec96 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 25
Source-reported events for the cited work
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Observation 4ca481ad-33c3-49de-b13a-6e862d523626 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 26
Source-reported events for the cited work
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Observation 8451a781-facb-4413-8a39-078b8a4642a2 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 27
Source-reported events for the cited work
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Observation e45a16bc-891c-4fa2-9125-5b3c88c9c42c · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 28
Source-reported events for the cited work
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Observation 34d3e712-7c86-4fdb-85c4-0976305f145b · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 29
Source-reported events for the cited work
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Observation 4ad6a365-584f-487f-bd83-a1d911880696 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation cef0623d-357a-44ea-bcac-fc9001783b17 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation a83e3696-d93b-45a2-828a-540fabd604b2 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 32
Source-reported events for the cited work
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Observation ecd55c52-fe7a-4bd9-9530-fe8ffc7a24df · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 33
Source-reported events for the cited work
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Observation 782ec62c-abfa-4248-84bd-c8588ffb2cb8 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 34
Source-reported events for the cited work
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Observation 9d32da90-f970-45ff-ac4c-cdaad3a32d11 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 35
Source-reported events for the cited work
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Observation 8762b6c9-a953-4414-9b67-33886e7824e6 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 36
Source-reported events for the cited work
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Observation a3985826-6242-4717-a8ac-4b466d26bda6 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 565931ce-c84b-4435-8ec7-0b89e4deacc5 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 38
Source-reported events for the cited work
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Observation 705a99ae-efe9-4631-b9f9-8bdd5691b86d · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 39
Source-reported events for the cited work
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Observation ee41e580-9155-48e6-b08c-ae1f9220d0e9 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 40
Source-reported events for the cited work
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Observation 896a1286-57b8-4411-a49c-32500238d09a · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 41
Source-reported events for the cited work
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Observation 89752373-ecb5-49ed-bec7-44a2fbc02e76 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 42
Source-reported events for the cited work
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Observation ae2effc4-65ca-4f2b-9204-ba6a1c56b841 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 43
Source-reported events for the cited work
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Observation 4d0053a4-be1e-4216-9c26-67219fb8baa1 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 44
Source-reported events for the cited work
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Observation 1b563876-3bfa-4b58-ae97-ae12b7da67e2 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 45
Source-reported events for the cited work
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Observation 522b5277-2759-4b2f-91e5-ed1ffbfee5c2 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 46
Source-reported events for the cited work
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Observation 752eadd8-e384-47e1-84d9-0198eabdbbba · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 47
Source-reported events for the cited work
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Observation 20ba7a7b-8291-4812-97b8-933e565d85bc · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 48
Source-reported events for the cited work
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Observation a65ada59-b301-462a-bd7a-a30b2e825ef9 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 49
Source-reported events for the cited work
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Observation 1984e53d-c8f3-479f-ad8b-4b43ed033cdd · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 50
Source-reported events for the cited work
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Observation 12315954-f0e5-460c-9956-b77a75e352ff · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 51
Source-reported events for the cited work
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Observation 8b7721b1-4e6d-4a41-bcaf-ec558e20b58a · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems
Reference 52
Source-reported events for the cited work
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Observation 3cdfa4d5-27c9-4128-bd2a-3ca5a8d3248d · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Deep Learning for Scene Classification: A Survey
Reference 53
Source-reported events for the cited work
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Observation af265c96-08cf-4aa7-9761-643776600c66 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 54
Source-reported events for the cited work
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Observation 0b91e4ae-fd44-43f7-bc81-34609ff1cf0f · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 55
Source-reported events for the cited work
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Observation 50704f6c-1f89-48e7-9fbe-e3aae85ff45b · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work
Reference 56
Source-reported events for the cited work
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Observation 786275f3-7366-4062-99ea-23fadcd37c35 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1db3473e-6bf6-4be9-bcb3-c9e11d9ba72c · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18)
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98ab3e4-7a1e-4306-83e6-e5d577a46757 · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT In 2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
Reference 2023
Source-reported events for the cited work
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Observation 34a648cf-7849-47cd-89ae-da9551a8c71f · outbound
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT In Proceedings of the AAAI Conference on Artificial Intelligence , Vol
Reference 2024
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad0852cc-4edd-4648-b73a-e69831e5ff68 · inbound
Foundation Models for CPS-IoT: Opportunities and Challenges MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT
Reference 87
Source-reported events for the cited work
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Observation 8d31b892-579f-4212-9e25-78b12f8ce331 · inbound
Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.