Paper Citation Record · LEDGER

FoodX-251: A Dataset for Fine-grained Food Classification

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:1907.06167.

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

pith.paper-citation-record.v1
1907.06167 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T22:11:19.510505Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:25.956885Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:53:31.289347Z

Reference resolution

29 of 29 outbound references displayed

verified exact4
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bddc3b4-50f0-4b7d-b875-89c8a7ddba49 · outbound

This paper cites https://www.fitbit.com/app.

FoodX-251: A Dataset for Fine-grained Food Classification https://www.fitbit.com/app

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.634336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b447502-0392-4073-9f05-a274936433c4 · outbound

This paper cites https://play.google.com/store/ apps/details?id=com.dietcoacher.sos.

FoodX-251: A Dataset for Fine-grained Food Classification https://play.google.com/store/ apps/details?id=com.dietcoacher.sos

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.613252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c74cd844-dd82-4aa4-ab87-6b89eb4c9967 · outbound

This paper cites https://www.myfitnesspal.com.

FoodX-251: A Dataset for Fine-grained Food Classification https://www.myfitnesspal.com

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.625571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3da560c4-71da-4711-85a4-5b8b5e12afef · outbound

This paper cites Segmentation and recognition of multi-food meal images for carbohydrate counting.

FoodX-251: A Dataset for Fine-grained Food Classification Segmentation and recognition of multi-food meal images for carbohydrate counting

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.638215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32f62ff2-2d0f-4888-88b7-e90c717282b0 · outbound

This paper cites Leveraging context to sup- port automated food recognition in restaurants.

FoodX-251: A Dataset for Fine-grained Food Classification Leveraging context to sup- port automated food recognition in restaurants

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.609410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 611256a9-cb9c-4480-9299-f20bb342364a · outbound

This paper cites Natural lan- guage processing with Python: analyzing text with the natu- ral language toolkit.

FoodX-251: A Dataset for Fine-grained Food Classification Natural lan- guage processing with Python: analyzing text with the natu- ral language toolkit

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.617241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99941cb2-2ccb-4180-84fb-675df99fb7b6 · outbound

This paper cites Food-101–mining discriminative components with random forests.

FoodX-251: A Dataset for Fine-grained Food Classification Food-101–mining discriminative components with random forests

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.605206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3fab0cd-7554-4125-ae1e-0edf93adffef · outbound

This paper cites Automatic chinese food identiﬁcation and quantity estimation.

FoodX-251: A Dataset for Fine-grained Food Classification Automatic chinese food identiﬁcation and quantity estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.629921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96fd1b9b-22c0-45ff-946a-96368f5e662d · outbound

This paper cites Webly supervised learn- ing of convolutional networks.

FoodX-251: A Dataset for Fine-grained Food Classification Webly supervised learn- ing of convolutional networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.621328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c36fe078-0e77-46de-87b7-116c2def4ceb · outbound

This paper cites ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition.

FoodX-251: A Dataset for Fine-grained Food Classification ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:15:01.104482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3319e2e-911a-4796-bf19-944f7bb3837f · outbound

This paper cites Rethinking the mobile food journal: Exploring op- portunities for lightweight photo-based capture.

FoodX-251: A Dataset for Fine-grained Food Classification Rethinking the mobile food journal: Exploring op- portunities for lightweight photo-based capture

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.584687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56056a3c-3899-48d8-bb2d-537c23cf4991 · outbound

This paper cites Ilsvrc-2012.

FoodX-251: A Dataset for Fine-grained Food Classification Ilsvrc-2012

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.549782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72458e1c-cd25-49de-b944-edbe0d9b35c1 · outbound

This paper cites Retrieval and classi- ﬁcation of food images.Computers in biology and medicine, 77:23–39.

FoodX-251: A Dataset for Fine-grained Food Classification Retrieval and classi- ﬁcation of food images.Computers in biology and medicine, 77:23–39

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.588628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e255757-5df4-4858-95c4-a557a4c0413d · outbound

This paper cites Deep residual learning for image recognition.

FoodX-251: A Dataset for Fine-grained Food Classification Deep residual learning for image recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.592598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9533dc81-4e6e-4a9d-85f0-e9c64f6ba455 · outbound

This paper cites Image recog- nition of 85 food categories by feature fusion.

FoodX-251: A Dataset for Fine-grained Food Classification Image recog- nition of 85 food categories by feature fusion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.580646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbbbd526-ec3d-4f0a-8ea8-796a142764ff · outbound

This paper cites A food image recognition system with multiple kernel learning.

FoodX-251: A Dataset for Fine-grained Food Classification A food image recognition system with multiple kernel learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.576800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5eda2ce2-7c7a-44ca-ac2d-07c2cfb96665 · outbound

This paper cites Combining Weakly and Webly Supervised Learning for Classifying Food Images.

FoodX-251: A Dataset for Fine-grained Food Classification Combining Weakly and Webly Supervised Learning for Classifying Food Images

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:15:01.098655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72660b43-7c5a-4cf1-b3d3-60ed09448d84 · outbound

This paper cites Automatic expansion of a food image dataset leveraging existing categories with domain adaptation.

FoodX-251: A Dataset for Fine-grained Food Classification Automatic expansion of a food image dataset leveraging existing categories with domain adaptation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.597210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45ad44a3-252b-4756-8350-abd104921d57 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FoodX-251: A Dataset for Fine-grained Food Classification Adam: A Method for Stochastic Optimization

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:15:01.109592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b777dcf9-bc50-4c79-9fdc-dd2ce7050d3a · outbound

This paper cites Microsoft coco: Common objects in context.

FoodX-251: A Dataset for Fine-grained Food Classification Microsoft coco: Common objects in context

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.564726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f18e1fe-2c1d-4187-b927-b44a4a2e0fa1 · outbound

This paper cites Im2calories: towards an automated mobile vision food diary.

FoodX-251: A Dataset for Fine-grained Food Classification Im2calories: towards an automated mobile vision food diary

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.572437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 504abff4-1460-4959-8108-da8dca7cb602 · outbound

This paper cites Nutrinet: a deep learning food and drink image recognition system for dietary assessment.

FoodX-251: A Dataset for Fine-grained Food Classification Nutrinet: a deep learning food and drink image recognition system for dietary assessment

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.557212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d1f5997-1723-452a-a9a4-e05ba4da59c6 · outbound

This paper cites Wordnet: a lexical database for english.

FoodX-251: A Dataset for Fine-grained Food Classification Wordnet: a lexical database for english

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.542169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d74ba42-76c6-44e5-87ab-0b3ff3c35c33 · outbound

This paper cites Recognition and volume estimation of food intake using a mobile device.

FoodX-251: A Dataset for Fine-grained Food Classification Recognition and volume estimation of food intake using a mobile device

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.553391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c00dad58-9c4e-4337-be20-d105de3b198a · outbound

This paper cites Training Convolutional Networks with Noisy Labels.

FoodX-251: A Dataset for Fine-grained Food Classification Training Convolutional Networks with Noisy Labels

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:15:01.093383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9a371e20-4040-483d-984a-5d5b93d186ad · outbound

This paper cites Recipe recognition with large multi- modal food dataset.

FoodX-251: A Dataset for Fine-grained Food Classification Recipe recognition with large multi- modal food dataset

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.568655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7a2f5b30-c062-4089-b24e-7d8511b8c80f · outbound

This paper cites Annotating images by mining image search results.

FoodX-251: A Dataset for Fine-grained Food Classification Annotating images by mining image search results

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.560819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d4f824c-5618-4add-bc80-76918c771adb · outbound

This paper cites snap-n-eat food recognition and nu- trition estimation on a smartphone.

FoodX-251: A Dataset for Fine-grained Food Classification snap-n-eat food recognition and nu- trition estimation on a smartphone

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.601483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 544da4c4-925e-45a7-8a50-f85407b98ebb · outbound

This paper cites Places: A 10 million image database for scene recognition.

FoodX-251: A Dataset for Fine-grained Food Classification Places: A 10 million image database for scene recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T22:15:02.546104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 2df4da36-6feb-4261-bb96-8608bf476906 · 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 FoodX-251: A Dataset for Fine-grained Food Classification

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:31.379668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.