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Paper Citation Record · LEDGER

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT

As of 23 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.

pith.paper-citation-record.v1
2411.12126 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:58:41.720108Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:30:41.749447Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:54:48.866758Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c553f29-0348-4f06-9cbb-010cd4a8d261 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:40.842090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:40.842090Z digest=sha256:0d3f3c48ae71401280dd492820f97d47328042a33b5379c5307ea58360dfb50f

Observation 36e840f6-66ad-4d61-9dbb-962b705292ed · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.931806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:40.848987Z digest=sha256:64d117f18d45797e9fc00016038d0fda9d574a6d53eabaea00cb354b5c3864c7

Observation 226edffd-9eef-41c6-85f2-926452a697e6 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:40.855107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:40.855107Z digest=sha256:5ea079bf56a750634c7de11fdf0fb6a0914ba3c10a7bcb942a642b4afcdf1ae6

Observation 5085ae06-c11d-4f0d-ac60-cc27776b4032 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:40.885295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:40.885295Z digest=sha256:95efdbcd46e88cee96abf4582af96d8383bc52b2f8e4b5251369cc7cc75d878b

Observation c50c578d-5594-4696-8ff6-fb144b0df33a · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.735839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:40.956100Z digest=sha256:c235d03dfef1fa0991011f7f709d8a914ba34d41b852b56cbed25b06cec08365

Observation 7f729f38-0259-48a1-9b2a-8daa4d61a009 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.665450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:40.994479Z digest=sha256:ee37acf939930a4496a7f56981c84e6e50121d68c4300d9254b87628b1aca1ea

Observation f57db069-0a7c-4c6f-8241-a3455fa1e6c4 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.646659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.000573Z digest=sha256:45cecbebf6f79f0071fff23d93af17536646e66e62ffb67906d1a0285aa53a1f

Observation 415678e3-cb08-4c9d-9cab-ae8a4301a414 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.490104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.007122Z digest=sha256:f78cd7ec9dec277f938959eb9780511a3f0021ebf1e154a2e4c0159070381017

Observation 6dec36cb-0881-4d2f-bce0-67cfaccb74ae · outbound

This paper cites Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.020399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.020399Z digest=sha256:b5e57f3484cbb984accff63db0e0114e03d5862f6f0591ea603e27ea563f64e8

Observation d90edd30-d390-4067-b29f-948c1e47ec7f · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.298469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.026114Z digest=sha256:3ea8ef1af191ccdb69d90e13971ee24da9dcf7db0e1a9a35ac8cab285d32924a

Observation 18a3773f-ca53-49f1-929c-1f3a7175f8ab · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.143755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.031104Z digest=sha256:212d4100f3e1c59db650f8de3ba3c2cb6aaab855e93617f6a0de7b2d73cdd407

Observation c6e9ed83-4eb7-4eb6-ab7d-31a419e3c359 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.036528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.036528Z digest=sha256:90cdf5811fcea777a40637bd2a045b2be3ab3c498c26e9997ee3de1e0be1e6d2

Observation cdaf7c99-df03-49e4-ad9a-15a1fcd53ad7 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:44.059029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.041800Z digest=sha256:051c2bf224fa7191e39dda73ee170b97e87bbf9af47a9cb5c99eda5d3bc55898

Observation 5f023c47-9a73-408a-92a6-e937d1fd0aea · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.940338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.047600Z digest=sha256:779c983f16fa7bb356e9c900bef4378db2bf3d46124640378cdddd1c71f87463

Observation 2a530f62-bc03-4fdb-b793-c84065831bb8 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.866890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.053155Z digest=sha256:6ba825f2399c319184862ee8e0072e10186be8acf6ac2d106e6d45497ab9c200

Observation 6a3a277b-f1b5-4537-9e47-4621cbcb9c9f · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 17

Resolution
verified exact
doi, observed 2026-08-12T17:58:41.922169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.058958Z digest=sha256:8e7d5359fb2531d0ec9572d62bc4c9257362430e6eb975c226a1ca24e7e73e73

Observation c5418a2a-707e-4313-9f7e-e8b33c96d9a1 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.846718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.064543Z digest=sha256:b5bc4b0946a996ac4610fe8a015e7a644a379c01ccde1764719edc286f48541a

Observation 86bfb03e-b860-4e8b-88fe-7e41afdb316c · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.788678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.094385Z digest=sha256:863a02ef12c2f1aadfbcbb970c32cd79b1296d1387328e997877b29387d22b5f

Observation 308f217e-f488-4356-bc40-a7d9fa304b70 · outbound

This paper cites GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors.

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

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:58:42.119050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.131115Z digest=sha256:0cc59cdabefd5d069233947669a6e1c1d1d9e9a323f5511c84566778a9e4723d

Observation 035f2e63-56bc-4b17-886c-d41eae924f4f · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.212737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.212737Z digest=sha256:ad88e8a939a2e6ee249e2052dfc54aa70978ee3aae3ca83ba41cb4c8b185b34d

Observation a6ab52af-c4aa-4a47-bdb9-801103f83194 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.672534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.219821Z digest=sha256:e825cd5d903786d230b5804b3071dd3a1a7df77a13cfb5c6312571a7cf647f4c

Observation 3d4944c5-3add-4bae-b065-c9da6e8f5df3 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.637913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.231192Z digest=sha256:b5465f8bfad53feba2f604a60248b51b6cff01e8697368614b4f2a1bdbfaec86

Observation 3504370d-f4cc-4ed2-b897-a9e321e84929 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.596584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.235886Z digest=sha256:02d1a6900a46262065a9e31d6c0cf5eaea4e09153cdafca817b5b31c22b38f42

Observation 34a02c22-4ced-4f22-b730-27ebfcd9ec96 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.495469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.241208Z digest=sha256:62c23836a75055fb721a51ff5270def566e053dd7ddb79c251c4ddde8c506499

Observation 4ca481ad-33c3-49de-b13a-6e862d523626 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.474073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.246245Z digest=sha256:29b00f99411e0bfc8008dde0f05f71a9c3396bbf8bad76fa02e6a2b0993598ee

Observation 8451a781-facb-4413-8a39-078b8a4642a2 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-08-12T17:58:41.903079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.251438Z digest=sha256:dc9bfe4726507e342d57a4e23acd8e30914f2e7bd2c8532719797cc9f2687eb9

Observation e45a16bc-891c-4fa2-9125-5b3c88c9c42c · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.454465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.256581Z digest=sha256:f6b11ae836ee51be6ab6354ba4a87a7c561057a0c4a34ceecb8edf215fb0d394

Observation 34d3e712-7c86-4fdb-85c4-0976305f145b · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.378001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.281315Z digest=sha256:6ee047bf55038178cc9964191d3750752032832cff9e9aaa9d648871e2c4a905

Observation 4ad6a365-584f-487f-bd83-a1d911880696 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.322089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.368393Z digest=sha256:0d39ff44a61f4ce68bae4d3f5878ab50c4edf0ee12ae3662131ee633f9c33562

Observation cef0623d-357a-44ea-bcac-fc9001783b17 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.300385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.412517Z digest=sha256:d53d4576e3bc802a7c934fbe82476c998a9f0bc5186d429d16bceec61a2944ef

Observation a83e3696-d93b-45a2-828a-540fabd604b2 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.227316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.418002Z digest=sha256:58fe53ea13d5936ea6e910172dc673ccb50482f1d776231e1f51be4c0a6f3712

Observation ecd55c52-fe7a-4bd9-9530-fe8ffc7a24df · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.146814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.423215Z digest=sha256:fb7cba3d71aba164f425be7a0fdb63dbb8d439f053d245bf21788ac8ab7d8d2a

Observation 782ec62c-abfa-4248-84bd-c8588ffb2cb8 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.097642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.429598Z digest=sha256:d0f4c8a1ee62d36836ee0fde6f4de527014b2e8a10b5959d712cabc3cdf4d45b

Observation 9d32da90-f970-45ff-ac4c-cdaad3a32d11 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.078937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.435129Z digest=sha256:e8f7e7441cbdf60881035eaa00a7df6962c8e426265369429ed137b304e82fdc

Observation 8762b6c9-a953-4414-9b67-33886e7824e6 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.441863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.441863Z digest=sha256:43e4df439ffad8efe515771970196b1638f0a1d1892d09b4d69a29de91679677

Observation a3985826-6242-4717-a8ac-4b466d26bda6 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.447991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.447991Z digest=sha256:6babfa27f1ae2cf0805cde989eca419f6a7d4942cad9a9bcf4661851271c52ee

Observation 565931ce-c84b-4435-8ec7-0b89e4deacc5 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.045889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.453314Z digest=sha256:3144c6c4e3b1a73ec9ed9ad1df7327d11131c2599cfc527f2da2f18d3411382e

Observation 705a99ae-efe9-4631-b9f9-8bdd5691b86d · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 39

Resolution
verified exact
doi, observed 2026-08-12T17:58:41.884404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.458620Z digest=sha256:e970269efd51053024bbb3851c1a398524d21d885d327c4570f9e72c6b49be54

Observation ee41e580-9155-48e6-b08c-ae1f9220d0e9 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.024935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.464067Z digest=sha256:aad6d487f6e46f51b2944a4f893c0c1736cbfe71ee9639ddb203b3d679608c11

Observation 896a1286-57b8-4411-a49c-32500238d09a · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:43.004410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.469024Z digest=sha256:173b95b40bce71f338355a7243fcd640282e7495d79934d40b60254d0905b41b

Observation 89752373-ecb5-49ed-bec7-44a2fbc02e76 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.985455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.474495Z digest=sha256:a08396e470e0dee179cb464748d1811e6be4dab8edc8a8ff7ad2d50c5786dfec

Observation ae2effc4-65ca-4f2b-9204-ba6a1c56b841 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.925389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.499803Z digest=sha256:d1286b201fc898a8811987fcd795112faf9db1d990209db31f30f549e7e94ab4

Observation 4d0053a4-be1e-4216-9c26-67219fb8baa1 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.873619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.532160Z digest=sha256:2d3b146b6ac0308664929464a6bff6b7e7ed02073a274447388b23e3b61a7939

Observation 1b563876-3bfa-4b58-ae97-ae12b7da67e2 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.576669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.576669Z digest=sha256:83caeb40e6649a312b81af51f89896d0083c03c3e1b7f1946da0362f8f54228c

Observation 522b5277-2759-4b2f-91e5-ed1ffbfee5c2 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.842621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.644697Z digest=sha256:8a82dfa32f51443a634b1580a17f609ad04414cf295f9fe9e1503a0e6b1cc7b5

Observation 752eadd8-e384-47e1-84d9-0198eabdbbba · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.824081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.650741Z digest=sha256:a2846b5fa2eef3bb5bcb40fee13a8c9508eac21b91825e69a24cfe57c4d642af

Observation 20ba7a7b-8291-4812-97b8-933e565d85bc · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.672500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.662830Z digest=sha256:3569e6ea9969f44bcf27dcfc5e7662351486aa6492c5f348a5d9ccb80df40e0d

Observation a65ada59-b301-462a-bd7a-a30b2e825ef9 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.676059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.676059Z digest=sha256:ad2f8ed9a2c6b8f5c9ff48bc6d597cb160580a09bb2a46895b97920ef0762d68

Observation 1984e53d-c8f3-479f-ad8b-4b43ed033cdd · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.486047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.680988Z digest=sha256:7408da49435beb57e5de59b4b6082a4c014e1788305a6289a625f0ba06bca876

Observation 12315954-f0e5-460c-9956-b77a75e352ff · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.468319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.686342Z digest=sha256:0d151885f3364245432597a3124a96a310b83b0ff5843f6cd9b534d43af306cd

Observation 8b7721b1-4e6d-4a41-bcaf-ec558e20b58a · outbound

This paper cites In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:58:42.576390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.670003Z digest=sha256:422a5785f9eb5533650c31d9a70ecebff3ccfd172fda1b2871d8c294e79b42ee

Observation 3cdfa4d5-27c9-4128-bd2a-3ca5a8d3248d · outbound

This paper cites Deep Learning for Scene Classification: A Survey.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Deep Learning for Scene Classification: A Survey

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.697270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.697270Z digest=sha256:7515dae98cee74ee990449f34d48d6e559a37603fa109b0a85c24957e7bdf8b8

Observation af265c96-08cf-4aa7-9761-643776600c66 · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 54

Resolution
verified exact
doi, observed 2026-08-12T17:58:41.819984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.708162Z digest=sha256:8fe341d265d41b6705b8b72f12f526c1bab98633baf24f3f22bdcb493f0039a3

Observation 0b91e4ae-fd44-43f7-bc81-34609ff1cf0f · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.348071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.714241Z digest=sha256:14e0989fe107122bb8daf14e6a8b9a87a33e2a5f6d36a2f0f83e9660a52ea735

Observation 50704f6c-1f89-48e7-9fbe-e3aae85ff45b · outbound

This paper cites an unresolved cited work.

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:58:42.450088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.691471Z digest=sha256:3db675c5be80dbebf8a80d782d565d16d2faea9463a8e5b23b12f08f1a8034b1

Observation 786275f3-7366-4062-99ea-23fadcd37c35 · outbound

This paper cites LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:41.720108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:41.720108Z digest=sha256:b2a9e046f110d344ed399fdb8bb055ccbc6d4196ba85624ccd329ed6ddad60fc

Observation 1db3473e-6bf6-4be9-bcb3-c9e11d9ba72c · outbound

This paper cites In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18).

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:58:40.861260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:58:40.861260Z digest=sha256:15aacf49a235c55ed5b3809ed35a83855e8e6c8a66b6eca8fa079483bf474c2c

Observation c98ab3e4-7a1e-4306-83e6-e5d577a46757 · outbound

This paper cites In 2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:58:42.690720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.657045Z digest=sha256:e368dca5916e980b44f336926f789575fbf42850f7f1a63078a2a4a064c46fc5

Observation 34a648cf-7849-47cd-89ae-da9551a8c71f · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelligence , Vol.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:58:43.656013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T17:58:41.225163Z digest=sha256:1962eef2f52cdf41a46bdcce5d5b6cbd9d97948e2d0527d1690d640261ed9767

Pith citing papers

Observation ad0852cc-4edd-4648-b73a-e69831e5ff68 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.749447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.749447Z digest=sha256:60a5cae53a0dad72cb15d6a40474b1c1864fce6f805e5fe527810b83432003cc

Observation 8d31b892-579f-4212-9e25-78b12f8ce331 · inbound

Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:54:48.872027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:54:48.337976Z digest=sha256:cf48fc4583b38d2d52af9fec4f935dfe79005d196d32cd17ccaae1549e2f8223