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Paper Citation Record · LEDGER

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.17759.

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

pith.paper-citation-record.v1
2412.17759 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:29.947591Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:24:40.530738Z

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 fa3ff6f6-1d1b-4b5a-9d7c-c1c4c08e79fc · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 148

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.055107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:c8cb3216d5cb67233d59b54fa1927e3104155e68729e625de90e13b9ddc188e6

Observation c9cdb51a-fff7-4bf0-8352-94db76df3dcc · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:29.947591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:29.947591Z digest=sha256:3e608a145db4d17cf9c99424facfb99642849642165517ab1dd8c054f3676966

Observation 90c6b2d2-c97c-49c4-82b3-b0de2c0a7252 · inbound

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation cites this paper.

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:17.384360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:35:17.384360Z digest=sha256:e5f1eee6b90b47b9b9113f38633af2024065a8cee0b27497629932848b436dae

Observation f73f8e87-45e3-452e-886f-a08802671b55 · inbound

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems cites this paper.

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:56:02.373358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:22:25.943097Z digest=sha256:be60ffbfc12461fdc7f287b8d9a3ec89cf26d0d7a1fb05cfc68d658daa495962

Observation 0fad3f37-87b8-4281-892f-5a6a80557b34 · inbound

Do Image-Text Metrics Respect Semantic Invariances? cites this paper.

Do Image-Text Metrics Respect Semantic Invariances? Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:24:40.532645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T13:16:04.360484Z digest=sha256:835f9ec32cc10cce7e422fb6f2eae4b6b9ca2139f494251983eabb32beedf02f

Observation ab95317d-7890-41a9-81fb-b3217175be30 · inbound

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning cites this paper.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T20:38:43.834675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:38:43.834675Z digest=sha256:c013a45636b9ddc9462bd83682c41ca20d7d3191f0fd45f0b6f971bab6ec1054