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Paper Citation Record · LEDGER

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.07012.

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

pith.paper-citation-record.v1
2412.07012 v3

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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:43.977587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:08:12.735767Z

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 04a36963-6c86-4e53-87ab-7c9073ebd39a · inbound

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes cites this paper.

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T23:50:43.977587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:50:43.977587Z digest=sha256:f8228f319e88f26f6efdc2363c798cd0e71bf69f4665a8492931a82501ea6514

Observation 816c111e-c13c-4b08-a45c-7ce7ba3fbb20 · inbound

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models cites this paper.

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:44.712242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:44.712242Z digest=sha256:dd6603e90e8dcfed4caacba6cbceed6d0f84cf4e092c2706e12a5263a63aea75

Observation 8bd84e29-bfc3-4b83-a143-5ca4466a4b7d · inbound

Explain Before You Answer: A Survey on Compositional Visual Reasoning cites this paper.

Explain Before You Answer: A Survey on Compositional Visual Reasoning ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

Reference 259

Resolution
unresolved
no resolver link, observed 2026-08-15T17:09:18.499207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:09:18.499207Z digest=sha256:1e93ea46fbe974bd20bec7f8dbd90676daec49023c8a072ed3dac105b3426af5

Observation b9a8b95f-5747-422d-9cb3-298b16a5b14c · inbound

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding cites this paper.

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:12.741574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T20:07:23.153064Z digest=sha256:45053e8dcb07f7683b3e66a75e810216bc38369c3a1d72296616cb58ce7ab002

Observation 7054361a-4db7-44df-b67f-bc57e2443442 · inbound

Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning cites this paper.

Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-14T01:07:06.861298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:07:06.861298Z digest=sha256:8898178c38b0cb8008ec689d88a0e20cce84e576c68fdcfe5a0108e80ad56971