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Paper Citation Record · LEDGER

Maya: An Instruction Finetuned Multilingual Multimodal Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.07112.

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

pith.paper-citation-record.v1
2412.07112 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 2026-08-06T19:15:25.391619Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb33f64b-e506-4043-9aba-00eb31d940d3 · inbound

NeoBabel: A Multilingual Open Tower for Visual Generation cites this paper.

NeoBabel: A Multilingual Open Tower for Visual Generation Maya: An Instruction Finetuned Multilingual Multimodal Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:25.391619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:25.391619Z digest=sha256:5700305464243c892ce4edd0072ed6ea15584c9c95f0f09c65b7f3f17c012c77

Observation a9628523-1c33-47f3-9ef9-7c77523b71b6 · inbound

Multilingual Vision-Language Models, A Survey cites this paper.

Multilingual Vision-Language Models, A Survey Maya: An Instruction Finetuned Multilingual Multimodal Model

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:02:37.156203Z

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=2026-05-18T13:02:08.000814Z digest=sha256:29c16a5223f8d030482a2a46344754a012ed0cab12032f0eede5a4c981232a5d

Observation 17417c65-eed7-4054-8678-b36a85a47f69 · inbound

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models cites this paper.

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models Maya: An Instruction Finetuned Multilingual Multimodal Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T16:07:32.033663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:07:32.033663Z digest=sha256:057e71cda8338dc490167e4ccba6ef9934f91a56a090c1a478d05215142a53d7

Observation b0c569c3-4146-434d-95df-ff076306f829 · inbound

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model cites this paper.

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model Maya: An Instruction Finetuned Multilingual Multimodal Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:57.651111Z

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=2026-05-10T16:29:12.064221Z digest=sha256:da1e72a98a55656eda666661688ede00b289ab59bf5b9e0809dcf6cc7973474f

Observation c4fe23fe-4194-4199-b62b-ae5d02efa782 · 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 Maya: An Instruction Finetuned Multilingual Multimodal Model

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.880681Z

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=2026-05-20T14:33:36.100966Z digest=sha256:c16b24d64e7bce3be223ed4c7947bf620c7469ecc5de693a40775d9ea44768d9

Observation 39ee3713-aa04-4a11-9b17-671ceaf8962f · inbound

Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models cites this paper.

Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models Maya: An Instruction Finetuned Multilingual Multimodal Model

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:16:34.704821Z

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=2026-06-28T10:10:38.261635Z digest=sha256:b8d57aecd71253856399d5c1f991662eb381b414a55b8bcf8478609a9c87113a