Pith. sign in

Paper Citation Record · LEDGER

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.03665.

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

pith.paper-citation-record.v1
2412.03665 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:34.401485Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:45:52.393487Z

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 cf8fdaf7-4fae-4a8c-bbdb-27597834ea0e · inbound

R-Genie: Reasoning-Guided Generative Image Editing cites this paper.

R-Genie: Reasoning-Guided Generative Image Editing Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:34.401485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:34.401485Z digest=sha256:d6a7cabf53a7fa8fbff85bee2d5f1e181ae07e10671cfb92b24587b8d0a31f28

Observation 939add0e-cde7-4d97-a8f7-4d8a88594e64 · inbound

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:45:52.476729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:44.316344Z digest=sha256:a616a2255fe4acfb940b08565cfa15b87489191c51633557f9ba49c7b7c8304f