Paper Citation Record · LEDGER

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2505.08747.

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

pith.paper-citation-record.v1
2505.08747 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:51:47.462909Z

measured 51 of 51 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy2
unresolved49
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malformed identifier0
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External citation measurements

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Outbound references

Observation ef76e338-0ec1-465c-8480-a980dc5e433e · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.691851Z

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Observation e9ee90d2-cf07-4979-a7ef-1a35c1c01c45 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.670453Z

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Observation f1cd08b7-69e0-4959-8f5a-f548f36a0f9b · outbound

This paper cites Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:47.152388Z

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Observation cecb94ca-f906-4eb4-a696-6a569cf378ca · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.647127Z

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This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 5

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Observation 3c15b4e3-0193-462d-a39a-79a6f147c060 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 6

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Observation 49bbbc15-8f20-4626-a101-9fb5f4c2520d · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.553963Z

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Observation 083a61a7-ff22-4dd8-948b-f3e66283f62a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:47.187665Z

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Observation 767b1388-f14d-41af-8954-e87836d7aab0 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.527136Z

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This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.502669Z

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Observation 8120deba-2c60-4e09-abb6-a7f0deb9cc23 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 11

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Observation e2da08af-899a-4e09-9763-f547fa9d3b58 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 12

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Observation bb3bf611-f73a-4315-8ef0-5cc2f832dc37 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 13

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Observation c62c2c60-dcec-4896-865e-79480dc0c94b · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 14

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Observation 6262dfb6-4860-4e5f-94e6-7fe0c0fd22ad · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 15

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Observation aeb53445-529a-4279-a3fc-0e2cc508bde2 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.354823Z

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Observation 6ff5281f-5c74-403d-8d8a-2684852391fb · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 17

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Observation c22b0330-ba92-46b3-8f37-b46cc3f8f4c9 · outbound

This paper cites RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models

Reference 18

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Source-reported events for the cited work

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Observation 41b79224-db07-4587-a7ad-b2ed0abdbef9 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.311537Z

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Observation 4ec5e94a-cb88-4e74-91b8-42f7b185680c · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 20

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.290178Z

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Observation 23ba3b55-90a4-4d83-b9e2-fea78f88f02f · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 22

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:48.210708Z

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Observation 6d1848d5-ad99-4b5b-a8b0-7fa401ea4384 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion A Survey on Hallucination in Large Vision-Language Models

Reference 24

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Observation 889daebd-e678-4547-ab2f-3e5deb60864c · outbound

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 25

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 26

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 32

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Observation 33660f92-536a-4048-a4a3-fc3762fe04a4 · outbound

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:47.953721Z

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Observation 39252039-acea-4418-985c-01e81af25b08 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:47.932538Z

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Observation 27c6c816-7fbb-4a1a-921b-143770db74ac · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

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This paper cites Monte Carlo Tree Search for Recipe Generation using GPT-2.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Monte Carlo Tree Search for Recipe Generation using GPT-2

Reference 38

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Observation e1eab05e-652d-4bca-b49c-8cfeeda9ffbf · outbound

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Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 39

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Observation 4363fefb-ed1c-41fb-8a1c-84518e078d37 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:47.863882Z

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Observation fa39ebd6-c0e5-4290-8eaf-2b6ef05c2c4f · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:47.408814Z

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Observation ee857550-1de3-4057-86d8-7f3c1ec23645 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 42

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Observation 1c72de9c-e1e2-4eff-8555-a2573d6f411f · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 43

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Observation 9e6fdd22-ef68-4210-a0d4-4150fb9668f9 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:47.820215Z

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Observation 20751e6d-f7a9-4a8c-8e4c-4f907e599a87 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:47.434682Z

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Observation ba0a1f78-a4be-4765-afbc-81c75812c31c · outbound

This paper cites FoodLMM: A Versatile Food Assistant using Large Multi-modal Model.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion FoodLMM: A Versatile Food Assistant using Large Multi-modal Model

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:47.442737Z

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Unavailable: canonical work link unavailable.

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This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:47.448845Z

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Observation 39be245e-6a7f-45d8-830b-a398d8bd58d3 · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:47.790403Z

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

Observation 245bfd39-c528-480a-a409-edd83749a02c · outbound

This paper cites an unresolved cited work.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:51:47.763970Z

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

Observation 8e3bb008-5167-488f-9506-5175e58af06e · outbound

This paper cites In Inclusive Smart Cities and Digital Health: 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Wuhan, China, May 25-27, 2016.

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion In Inclusive Smart Cities and Digital Health: 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Wuhan, China, May 25-27, 2016

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:51:48.266490Z

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

Observation a6356386-1b7c-43eb-a755-ad844066640a · outbound

This paper cites IEEE Transactions on Image Processing (2020).

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion IEEE Transactions on Image Processing (2020)

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:51:48.576985Z

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.

Pith citing papers

No inbound Pith citation observations are available.