Paper Citation Record · LEDGER

Grounding Language Models to Images for Multimodal Inputs and Outputs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2301.13823.

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

pith.paper-citation-record.v1
2301.13823 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:25.821030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.458730Z

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 ebd10290-b43b-4220-b057-70a2245ad056 · inbound

Language Is Not All You Need: Aligning Perception with Language Models cites this paper.

Language Is Not All You Need: Aligning Perception with Language Models Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T18:32:22.938805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 134c41ae-7380-4469-a8c6-554e05ccd16e · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:22:03.555113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e54222f9-02b1-4684-8c54-25eb49df8d14 · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:29:11.402781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54c671f5-65ba-4484-b26e-c8180586a7f1 · inbound

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:52:01.240496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de03229d-64ee-43b3-a381-5d181f1f934a · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 107

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:06:44.589991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1ab45fa-6c92-4a6b-8bba-f7e69e8d0524 · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:33:30.303752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 966822c7-3917-4dac-86a2-54ec9ae3d0f6 · inbound

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model cites this paper.

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T15:27:51.994241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 023256c2-59cf-4509-9605-53896f22f191 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:25.821030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d288b8-2cbd-4977-b8c1-5676db307912 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 159

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:20:06.461606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.