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Paper Citation Record · LEDGER

Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.12480.

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

pith.paper-citation-record.v1
2408.12480 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:40:18.998229Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:35:21.509086Z

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 6310e289-b803-4cb2-b21a-858594f9b6ad · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:23:57.959889Z

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=2026-05-10T13:23:57.588851Z digest=sha256:6d87baf0fcfec657fa9e43b88ce2439320738aff6aefd222fabb6d102c7a1a92

Observation 56aa8e75-5c95-4e1f-9f76-e7053ba673b1 · inbound

Multimodal Contextualized Support for Enhancing Video Retrieval System cites this paper.

Multimodal Contextualized Support for Enhancing Video Retrieval System Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.441441Z

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=2026-05-23T07:14:34.843867Z digest=sha256:30a2849360f1ce3a10d1ba245f41e6a78825df8fb73fbddc28d74787cbd82100

Observation 9320d1f5-1fce-4579-85aa-230e6bdb3984 · inbound

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs cites this paper.

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:40:18.998229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:40:18.998229Z digest=sha256:aef57527d06b24de2857e1ed3eb57edfb37d31cee31930797a9574dde6f3789f

Observation 7897cd6d-93c4-4144-ae0f-5a9866e1dd9b · inbound

A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions cites this paper.

A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:07.020988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:07.020988Z digest=sha256:00eedccd4eb571a1d71fff75db74b750bbef43658cc14136414a82469cdb984f

Observation 5c2c34d8-34f3-40fd-b8a9-d785bf6e7211 · inbound

U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025 cites this paper.

U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025 Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:35:21.511984Z

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=2026-05-25T04:32:00.705039Z digest=sha256:7c251c96c241ef4e6c0f17b912416fe26fe93177429a595aad0489c063320dfa