Paper Citation Record · LEDGER

Bridging Compressed Image Latents and Multimodal Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.19651.

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

pith.paper-citation-record.v1
2407.19651 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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:29:42.250733Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:26:41.797863Z

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 652000b9-2845-4945-b882-34adcae3130e · inbound

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark cites this paper.

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark Bridging Compressed Image Latents and Multimodal Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:35:18.451096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de7bd1e-9fc4-42f3-9ed7-57579bc7838f · inbound

Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion cites this paper.

Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion Bridging Compressed Image Latents and Multimodal Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.594719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 584eaa42-8b5c-4bde-b5a3-3675937d0878 · inbound

DT-UFC: Universal Large Model Feature Coding via Peaky-to-Balanced Distribution Transformation cites this paper.

DT-UFC: Universal Large Model Feature Coding via Peaky-to-Balanced Distribution Transformation Bridging Compressed Image Latents and Multimodal Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:29:42.250733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3685c00-4d13-4c4c-942d-0605ea922635 · inbound

Benchmarking and Enhancing VLM for Compressed Image Understanding cites this paper.

Benchmarking and Enhancing VLM for Compressed Image Understanding Bridging Compressed Image Latents and Multimodal Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:26:41.801842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.