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Paper Citation Record · LEDGER

Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.07304.

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

pith.paper-citation-record.v1
2403.07304 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:32.109779Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.198663Z

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 80f0a40a-cea9-4987-898d-36caa0d6a161 · inbound

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks cites this paper.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:32.109779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:32.109779Z digest=sha256:08846d23ccc9f2f154138d61bf6ca6fb69fd07f0d7f6233d32973b7bf49c5260

Observation 0cd25c47-480e-42e9-9b53-bfe9f87287fe · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:52:07.993595Z

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=2026-05-19T06:50:02.607136Z digest=sha256:ff329d5441ba7d38c19f5d466bc21bafdc0dcf9ff196eba8f86e30b369faf558

Observation d46cb6f3-8119-4850-96a8-dfd6cbdc00ba · 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 Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.200587Z

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:aa425a625fb2b6e9f2cb3eb4e083a33a2be635f6eb9d6ae2f637589992dc3f69