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Paper Citation Record · LEDGER

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

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.

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 2026-08-14T06:32:32.682623+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=sha256:5f5dc5358a6a09edc10ea521f46d99e2de66951ec7d9e1c6f52a64594d134c68

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:40.848987Z digest=sha256:aa4c50576577c7a540620361910860cd2fe308669d9cca9187e0a07a8635272a

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=sha256:74d3f073839f78d088dfc43322f478ab5488ba3b20e9e5e0c7e5c7df35bfc317

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=sha256:12735f3c2504abb8b5532822adcba063160660d855ea06901e3fd1fba30aabf9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:40.956100Z digest=sha256:cc31ab3d9ea602b531da66ee6a2e711805e9d65e32b2febad395aed54f762563

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:40.994479Z digest=sha256:b47cffece37b73b14721c314625bb6d5e380cf8a605b6a4750cca864b6b18543

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.000573Z digest=sha256:6cc182b4d0dc21e8f95e138dc4d539c0cfdde484cb66cafd7b9cecc67f27b2b1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.007122Z digest=sha256:e27622fa2d71a6a46804bba3596ce9b428e6e981c9468633c374af62006bdee1

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=sha256:01205378c70e3407077d5627faa3baec828a11de49385502b1ede73ebd00bf6f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.026114Z digest=sha256:5c000920515bf789aa40e3cfb35f3c42a95c7f869ffce60e9a2fd8f7db2c004b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.031104Z digest=sha256:92a1f4e66aaedb2e066c386c019e6f7ae71a61bef85e44b094311f76dfdd6959

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=sha256:8b6b4effd2fc272f60b44244e610d6f3658c705c4fd862ad3d0fa78490339fc5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.041800Z digest=sha256:4f40ce1dc84c2dbc76b8f61ef0237f5a08d31ce51d63295448754054b65268ab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.047600Z digest=sha256:739e2bc6b709366dc89cbca5659db949bbd9660e909eafac520a74c7414528f3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.053155Z digest=sha256:39d27db6054728c16d0823e84d5d0156255a607b7e98828e00fc57a3b21b16aa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.058958Z digest=sha256:3878a7eb32fabd31a68daedb3e922ba8adb4ab77ab7a6dd1ad4dbce3bdacb08a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.064543Z digest=sha256:aa9f24acc52cfc56b07c9ad35e3edb13413c3318a5fe08a614399a9f92c64f89

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.094385Z digest=sha256:7fed20498b5ebb92b5c627a3d7f80c3e413648434a02fd70577f17e021ceb12a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.131115Z digest=sha256:021f69199d7894b23a1ef8860b90bcc6f60451ae78da974963d34bf0a52fb98c

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:a5c084d29a6600b1feae2abdb2b8908b369fd888ae85f04c9a3622cdb756bd5e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.219821Z digest=sha256:fc9fabf72df4c502dd5dc9dbf98a08d4796ae222a58d6f3f8dd8c6a21b1a57af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.231192Z digest=sha256:1c818ea54878d4d232881a9113bb76b4888ebd11ac7aa863021e10f920cb00d3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.235886Z digest=sha256:70f82694fa35ceeda4f9d5a6b15aade4956671427664804d6d26327dbf9c3e97

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.241208Z digest=sha256:7d5494ab9eaca7b20ee898768ef86ff9964a1246ad9db7b17a555292ba7fc7a2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.246245Z digest=sha256:592867eacd984006d718ad11843b6b2636b853de515c4d4c4329c6e3be659bcc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.251438Z digest=sha256:cdfcacfd6fad57d27fc4e9b1ad08167f4c7968315e064bed4f6523f16afb6264

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.256581Z digest=sha256:40dfd85f20c4a6000347252e9f70d67b6e165482dd8046b05836c3a86258052c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.281315Z digest=sha256:28409400933cbb1bf7fbb1bdaa4caa3426c5f898f4f8dac1eaa6be1d86549b55

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.368393Z digest=sha256:c977a6a7db50fd45cc6294acb82f89d64d98acc49b044390e5b12bf27b35279f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.412517Z digest=sha256:f53331605ce4befceaa2c76af7ddc9396175b2c3f7311011ab6303bef6a09b79

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.418002Z digest=sha256:7a70e77e577182724a4b9316c245fa3935294ba2b750a0281183b44f4ebd27c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.423215Z digest=sha256:4e81e9dd7df5095cfbfc476bc29dc40bc854ac5180dec40919d2c7c91de7aa17

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.429598Z digest=sha256:9801af816d6472a16d8c6f76a03dd16db9d620e3d52baf74fbd5fb2c30f1d0d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.435129Z digest=sha256:a7b8a81282161425157584d745bed1fe1547573ccfa7ba46f2b28905ebcbc8a9

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=sha256:156620cc7de444d742629dec5b65f6061943eb6fa129b77ece44c86bd4248da1

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=sha256:63ebe672500e1355887acfd03e2241eb894f4429372609ed748b31b2ff61ad13

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.453314Z digest=sha256:26988b5d80adb9a27cdf661e5bbc71cecc18bf888b68501d8972c321622dc5e6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.458620Z digest=sha256:491d9dc02e552af2c8dcd95590ccf0dad7f757cf096b3a5d526c453d389aaf28

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.464067Z digest=sha256:9943b66c7eba7ec82a23214b26c221f788fb4e88bff03c4f499754b6d154216a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.469024Z digest=sha256:3e22fe66e386d6c280102aca98e567d801d3fbf7015b6c8a175f0f6f6bf1dc78

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.474495Z digest=sha256:f66c53443ee040ac66535808e4be04913bea7105e0174f3c9f7140dbcf39c68d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.499803Z digest=sha256:8bc1923825d7d87c9d6c2ae842fca0da2f96594766463e1e526035082f1dc0aa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.532160Z digest=sha256:43f963dd424cfe72ff9dc14ca4d5b3da550e4eb2477fa0829c83ca606798340a

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:e45daa83e802963a49efaf7aea20a9fc2a5b38ef0408d30c1644a90e6967580e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.644697Z digest=sha256:48a9a2eecc07ece451107a29d9fa848566ac2ec89024ee8c215599af5f8ebb78

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.650741Z digest=sha256:871227fba3641c667f3a670d7f5a0547dc1f2f948fbedf6da6d30a2a660b431b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.662830Z digest=sha256:f62ab74027f2ae670aed36b915c74ad818713671eb81ab7a5bedd737b5d2fa45

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=sha256:757cc3bfafe160aa437f44224dd3c906c4489964c3067c98a6e74466c0856835

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.680988Z digest=sha256:43fe0cc811d2986e664de1cbfe22b24d63aee3b91879616eefe099f40f8398dc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.686342Z digest=sha256:1e438966670210c6737d9a6348038d30906df644f986e31fcc2eba240f33d9ca

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.670003Z digest=sha256:aae3db885f8c9d695f9ae5fc3c707cdef5a6357b3e34d2b73b72f8ee56934d55

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=sha256:646c7fe055a554066557d74bd7b78f40d8174951120484e6f54cbbf2fc8097a0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.708162Z digest=sha256:395075dc4c31f18dc6908f24edf46c46ac7a3accb3a81de6373bb01a6380d190

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.714241Z digest=sha256:6f21064c9e1af3f6a4bf3e3568c951981e8e88a044e5b5e706a466ef25ae30d8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.691471Z digest=sha256:2e69cb3ee93a29add6a52ed3c60800dc92e2918563036f8693a1890b53cfe967

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=sha256:2ed1e90d8b059d0316c8c5319ef8a5ebefea1855f9589ec97c4351ae30134660

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=sha256:9740170387b6c8637bc949b08f72d7414d7ee71ce9a9b574cf2736cda5990680

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.657045Z digest=sha256:af091a69323b0ba92f49a1a9668b5b43aaf585b9a5076eba7cb45203dc9ea707

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:58:41.225163Z digest=sha256:455195d911f092b67403df70a94624c280bee7632045020ee7e6eb4b8b851802

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=sha256:96c1d7929555177d32d0f782c2f6f6f81ef8cfe5b2bfbb3f0081fb4225d3908e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:54:48.337976Z digest=sha256:7eb39a168f1374df1c087e6558da594b7d1c25ffd8973f4a4068809b1de0537b