Paper Citation Record · LEDGER

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2502.06871.

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

pith.paper-citation-record.v1
2502.06871 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:17:46.899817Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

12 of 12 outbound references displayed

verified exact6
verified fuzzy1
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82eddd82-8a86-47e3-8413-cd451dee15c9 · outbound

This paper cites online" 'onlinestring :=.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T19:17:46.840031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1005c9bb-4696-42a3-a29f-e31fc9173da6 · outbound

This paper cites write newline.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T19:17:46.845934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f78c6a9-5838-490d-9dbd-e65abc7c57ff · outbound

This paper cites A Computational Approach Towards Food-Wine Recommendations.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models A Computational Approach Towards Food-Wine Recommendations

Reference 3

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T19:17:47.881017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 236734d7-8243-4a8d-90ac-1262c4d3d96d · outbound

This paper cites Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T19:17:47.616233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b01cb35d-d345-4a00-9f03-320281d321d3 · outbound

This paper cites WineGraph: A Graph Representation For Food-Wine Pairing.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models WineGraph: A Graph Representation For Food-Wine Pairing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:17:47.898369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 420b3407-a1ff-4eab-8a56-b5139418491e · outbound

This paper cites X-Wines: A Wine Dataset for Recommender Systems and Machine Learning.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models X-Wines: A Wine Dataset for Recommender Systems and Machine Learning

Reference 6

Resolution: verified exact; doi, observed 2026-08-08T19:17:46.999049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 866095c5-b5df-467e-99d1-872a1d7d4117 · outbound

This paper cites DeepWalk: Online Learning of Social Representations.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models DeepWalk: Online Learning of Social Representations

Reference 7

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T19:17:47.408383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9439961-a372-4e2f-924d-133545c82a27 · outbound

This paper cites DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T19:17:46.877806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b571a5a-326e-4d8d-8e08-e3cfbaba036e · outbound

This paper cites Denoising Diffusion Implicit Models.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models Denoising Diffusion Implicit Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T19:17:46.884085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ce50ba-d15d-4b1c-8ef6-0dc791aff616 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models Denoising Diffusion Probabilistic Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T19:17:46.890102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c08aa0-3bb8-47da-961d-f9113eaf2fbc · outbound

This paper cites metapath2vec: Scalable Representation Learning for Heterogeneous Networks.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models metapath2vec: Scalable Representation Learning for Heterogeneous Networks

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T19:17:47.247531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09b2588b-8da3-4400-90cf-e5fb2817cf6b · outbound

This paper cites FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings.

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings

Reference 12

Resolution: verified exact; doi, observed 2026-08-08T19:17:46.936815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.