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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.17777.

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

pith.paper-citation-record.v1
2407.17777 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:58:41.020399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:36:10.865367Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT cites this paper.

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=sha256:2059191629dddb60f7943faee7a298aa7c8933ab625b4794fb556f7b5a9147b6

Observation 4cd6e6a0-e5f5-4d12-829b-1f5a2a1f1f3c · inbound

ChainStream: An LLM-based Framework for Unified Synthetic Sensing cites this paper.

ChainStream: An LLM-based Framework for Unified Synthetic Sensing Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:17.010360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:17.010360Z digest=sha256:439f71a783091c88ecd8b6cca8a3a74012dbad45823a9a8f4b391379ba75bdba

Observation e2df79b5-0fa4-4102-931c-655db9b5116a · inbound

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

Foundation Models for CPS-IoT: Opportunities and Challenges Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.449363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.449363Z digest=sha256:90518a16716b72ad08e602ef789b37951fbffb6e257312ab81b80ea85f26291c

Observation 6070760e-86e4-49c6-a335-c2c8b9d772c1 · inbound

A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters cites this paper.

A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T10:23:04.408440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:23:04.408440Z digest=sha256:bd073bf875b915a8129ad4678c162db3b026c7662f0829d8c4e67568e0d87189

Observation b994d7e2-0285-4f50-b2c9-e18055e6677a · inbound

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding cites this paper.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:08.775111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:08.775111Z digest=sha256:e12430a42744b8ba717ac407c47b954510962d844a9d80033311f987717214e0

Observation dd546146-510e-407f-ac36-aa0f305a1a8e · 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 Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:48.348466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:48.348466Z digest=sha256:7e8e573c128062d5dd7f4f69d9022e66c6981d1317536522a28558ae41fa9d5c

Observation e819f8f9-cbdc-4abc-a4e9-9208ac2a0996 · inbound

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data cites this paper.

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:10.867530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T08:28:50.239277Z digest=sha256:0eff42776027ce5eebe5d2bcc5c6292a2818ad39a689a209d9289a05e7952015