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Paper Citation Record · LEDGER

FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.10173.

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

pith.paper-citation-record.v1
2308.10173 v1

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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:38:50.386397Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:02:02.026906Z

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 b301ec74-220b-477a-826b-3a5440aee86a · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Reference 261

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.866767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:9d338af0f7dff882d2c6a5f28a6e2fbe95fafbedd05aef497247fdc13c1d1795

Observation 3330da20-d4d9-470e-bbdc-9a143989bde0 · inbound

Large Language Models for Knowledge Graph Embedding: A Survey cites this paper.

Large Language Models for Knowledge Graph Embedding: A Survey FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-10T20:38:50.386397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:38:50.386397Z digest=sha256:6cf337ee0fabc57aea6ea9368c8c510e80c0d5d98b61bb1353bd33adf630579f

Observation 4785f05e-a9a0-4abe-8d6a-69fdc93c41c4 · 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 FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:02:02.029351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T20:01:40.341832Z digest=sha256:d434ea79f0038a0a4eb109714803f791abd388220de2a6dba9dab9b046c4b749

Observation a00e4e0e-7424-4e80-8367-fdb88db37809 · inbound

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

KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:50.843621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:50.843621Z digest=sha256:8e771cbd8222ea0754c8e58bae0a38b9e2db1cc86e428c376e9c2c145ef297c9

Observation e023e0e6-3ba7-4569-b642-8165b28581ac · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.734262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:fa492eae413fb6837979cec41ae9a722c184f1acb781d1b6fd48254831dafbcc