Paper Citation Record · LEDGER

GRiT: A Generative Region-to-text Transformer for Object Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2212.00280.

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

pith.paper-citation-record.v1
2212.00280 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:50:59.184754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:26:26.561841Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 52ccaa0b-309f-4256-bf89-57f0f0adba60 · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:30:00.669366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f63ba52-0c1a-4cd7-8685-50d70cb3c826 · inbound

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension cites this paper.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:59:50.569621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5de9c206-1048-4b36-aada-b53e3f9bf0e4 · inbound

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:26:06.441967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b31bb02d-b0fa-4232-b72a-972c99825928 · inbound

WorldJen: An End-to-End Multi-Dimensional Benchmark for Generative Video Models cites this paper.

WorldJen: An End-to-End Multi-Dimensional Benchmark for Generative Video Models GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:30.576293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f15b9b8-83ff-41a7-baae-17fe97c41c8d · inbound

WorldJen: An End-to-End Multi-Dimensional Benchmark for Generative Video Models cites this paper.

WorldJen: An End-to-End Multi-Dimensional Benchmark for Generative Video Models GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:37.412332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 151fbe20-44ac-49a7-bd18-ca287f536b89 · inbound

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models cites this paper.

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.563750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c61e9bcf-d9d8-4974-b9e9-18f4fb24598d · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World GRiT: A Generative Region-to-text Transformer for Object Understanding

Reference 157

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.