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Paper Citation Record · LEDGER

Multimodal Large Language Models: A Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.13165.

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

pith.paper-citation-record.v1
2311.13165 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T14:33:36.100966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:38:21.819477Z

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 d1f70aaf-9617-4f74-89fa-d317bc71be2e · inbound

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading cites this paper.

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading Multimodal Large Language Models: A Survey

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:36:06.525391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T16:10:22.588945Z digest=sha256:32b296266ee45eece9fdd5b1c5c8d78ba4db143edbe0caf89e0c010fe871bded

Observation 517155e9-5afc-4200-b594-7f1b16f1e569 · inbound

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image cites this paper.

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image Multimodal Large Language Models: A Survey

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:25.097898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:53:40.505699Z digest=sha256:9258494f0e1b881341194f555417557fad24e55f846d7cfd18b312690c21c3ef

Observation 09fbbb74-028f-4aec-8830-121481a313d3 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages Multimodal Large Language Models: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.821289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T14:33:36.100966Z digest=sha256:264f4801438ea45fe9e2c26eb3c77fa9971a589db75fc3ea62a025c87d4f904d