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Paper Citation Record · LEDGER

FoodLMM: A Versatile Food Assistant using Large Multi-modal Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.14991.

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

pith.paper-citation-record.v1
2312.14991 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:54.177401Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:02:02.022058Z

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 f75cb366-07a8-4cf2-89fa-34f14feddd36 · inbound

Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition cites this paper.

Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition FoodLMM: A Versatile Food Assistant using Large Multi-modal Model

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:02:02.025152Z

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=pdf_text observed=2026-05-22T20:01:40.341832Z digest=sha256:9ea80eb340ed4588bda4b3d06e713b5d08f7400ce7b82144e2a21ef82e3ae8cd

Observation 017b7de0-000e-49bb-89af-575bd259b175 · inbound

KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models cites this paper.

KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models FoodLMM: A Versatile Food Assistant using Large Multi-modal Model

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:54.177401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:54.177401Z digest=sha256:c6ceff89a03147296172458870d382d52f4725265ba03fd3c850807cdb9a5e26

Observation f5fa5d77-1317-4b00-ba12-93f422256a99 · inbound

RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation cites this paper.

RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation FoodLMM: A Versatile Food Assistant using Large Multi-modal Model

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:05.224268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:05.224268Z digest=sha256:ba96c6c106e14313ebd64ea5b56e7625acd6452b61866485931f76b5c756a18b

Observation 54e9e856-c769-4a4c-a3fa-02ba0df1f4d4 · inbound

SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insights cites this paper.

SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insights FoodLMM: A Versatile Food Assistant using Large Multi-modal Model

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:29.966947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:29.966947Z digest=sha256:f5bb8ddc62bcb5a51fbac0108ac925ea80a5abb5c883234a8b8d4ccfe7921eb1