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Paper Citation Record · LEDGER

MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.17770.

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

pith.paper-citation-record.v1
2406.17770 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:34.538261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.263407Z

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 80f41d3b-5c2a-4624-901b-1e90b1c58f28 · inbound

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models cites this paper.

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:34.538261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:34.538261Z digest=sha256:7ee3e530e7d8b8bfe7cd2372adbc8a980530d2961dc8d9fa097957d56a3e0424

Observation 491df349-3026-4f64-8d97-7af8e788ee1d · inbound

Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA cites this paper.

Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:55:04.614644Z

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=2026-06-30T20:46:54.667418Z digest=sha256:c62e736810492abfd122af76fa98648c75a989b24cdaa0cf958b06f1be53e761

Observation cffcc9c4-2345-41ab-9fed-ad77eb6a3615 · inbound

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding cites this paper.

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:13:16.345744Z

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=2026-05-20T12:10:54.874012Z digest=sha256:b9a4160f245b86fc28688f0f290a575c7c4e604ebffda4e418cdb339259f3d48

Observation 5f503217-4075-4a9b-8207-1634ad7ba1cd · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.265716Z

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=2026-06-26T01:50:54.242508Z digest=sha256:a2b816b5bd7e99270df8ac43dede0b94899505495f91a6f96add7a5b82a1a3dd