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Paper Citation Record · LEDGER

F-LMM: Grounding Frozen Large Multimodal Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.05821.

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

pith.paper-citation-record.v1
2406.05821 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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:03:54.208972Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:07:18.084702Z

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 167185d3-1166-4616-96c9-112fc831165c · inbound

HyperSeg: Towards Universal Visual Segmentation with Large Language Model cites this paper.

HyperSeg: Towards Universal Visual Segmentation with Large Language Model F-LMM: Grounding Frozen Large Multimodal Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T12:03:54.208972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:03:54.208972Z digest=sha256:a8e453bd4b6778900148382a96352e277729a64ef279c1b51f175217692819b7

Observation cca448e7-b0d9-443d-9943-944cced7efe3 · inbound

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos cites this paper.

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos F-LMM: Grounding Frozen Large Multimodal Models

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:39:22.455391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T11:39:22.340737Z digest=sha256:df86e10986ec1cbb902bb9cfcba7442d04ba8ce8738cad05dda259cf689849a9

Observation 4ac415c3-8ec7-414e-a4e6-f74b83955acb · inbound

MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models cites this paper.

MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models F-LMM: Grounding Frozen Large Multimodal Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:07:18.087545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T13:06:26.488788Z digest=sha256:1a2b656d3eae94a454b83e565db9a0f20cfadca972f02478872608d8f4448991

Observation e6378ad2-21fc-4c2c-939a-1eaa4ae8a8dd · inbound

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation cites this paper.

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation F-LMM: Grounding Frozen Large Multimodal Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:17.054823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:17.054823Z digest=sha256:1f47b8d1c8fb7c869a461f73a4d5f56035a97d81a271ebf9d3505df63e0b8256

Observation 8029c7b6-d77d-49c4-a4dd-6d99ac6b047d · inbound

KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model cites this paper.

KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model F-LMM: Grounding Frozen Large Multimodal Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:13.424856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:13.424856Z digest=sha256:6febe011908bc4151ca4a7bb15b3e76bf96a778e43a49404f808cfa8b452b131