Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:26:01.522592Z
Paper Citation Record · LEDGER
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.01767.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact2
- verified fuzzy17
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 524cfa2d-d1ea-48fd-8537-8c0a1ad288fb · outbound
This paper cites https://www.who.int/news-room/fact-sheets/detail/ food-safety.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://www.who.int/news-room/fact-sheets/detail/ food-safety
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:02.047261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5240795b-711c-4ef4-8735-9d791fb7f53a · outbound
This paper cites Tests Show Most Store Honey Isn’t Honey.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Tests Show Most Store Honey Isn’t Honey
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:02.033728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e87fa78b-e9ea-482c-b081-6f3478b89569 · outbound
This paper cites https://documents1.worldbank.org/curated/en/958471616983319964/pdf/ China-Food-Safety-ImprovementProject.pdf.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://documents1.worldbank.org/curated/en/958471616983319964/pdf/ China-Food-Safety-ImprovementProject.pdf
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-08-04T21:26:01.615924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2659dabd-d15f-4da3-96a2-86eeac864e7a · outbound
This paper cites & Cassou, E.The safe food imper- ative: Accelerating progress in low-and middle-income countries(World Bank Publications, 2018).
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Cassou, E.The safe food imper- ative: Accelerating progress in low-and middle-income countries(World Bank Publications, 2018)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:02.019559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 98bcc929-56d1-4d4a-a7e8-9d0aa3ba8105 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-04T21:26:01.560770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c407ddb8-6586-4d2f-8438-7fc5b058ffdf · outbound
This paper cites https://food.ec.europa.eu/ food-safety/rasff en.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://food.ec.europa.eu/ food-safety/rasff en
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:02.004072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2b8a52a5-f615-4136-ad0e-80e370b828b8 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.988653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5e677a37-097b-4de7-a132-e1ec600b7ddd · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.975009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8323bd83-87fd-434e-b68f-4fe0ebfded9e · outbound
This paper cites https://https://www.who.int/ publications/i/item/9789240057685.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://https://www.who.int/ publications/i/item/9789240057685
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:26:01.422462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d51ea829-bdcc-46ef-940b-24992d2d56b0 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.958895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dbe96c56-f682-47ec-8c35-bbd1cab98ad4 · outbound
This paper cites https://www.stats.gov.cn/english/ Statisticaldata/yearbook/.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://www.stats.gov.cn/english/ Statisticaldata/yearbook/
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.943148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ca970815-7b39-4e8f-8de9-5f44b3eb1eb6 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.928442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 88bde93d-9a23-4276-8b56-958c81727f09 · outbound
This paper cites Attention is all you need.Advances in Neural Information Processing Systems(2017).
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Attention is all you need.Advances in Neural Information Processing Systems(2017)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.913106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cd7d4303-4888-4adc-b801-04e3c0a4e32e · outbound
This paper cites & Chen, J.-s.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Chen, J.-s
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.897308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95d96a90-d42e-4d59-aca6-400049d48db1 · outbound
This paper cites https://www.gov.cn/xinwen/2019-02/09/content 5364511.htm.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://www.gov.cn/xinwen/2019-02/09/content 5364511.htm
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.881671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 19abebf2-b4d5-4881-bedc-a0f48ccc6cb9 · outbound
This paper cites https://www.gov.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions https://www.gov
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.867584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9edac6a2-1f43-42b8-8e7b-f26bafaccb84 · outbound
This paper cites G.Sampling techniques(john wiley & sons, 1977).
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions G.Sampling techniques(john wiley & sons, 1977)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.852649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3531dea3-749c-42cd-bdaa-8a208d058de1 · outbound
This paper cites Binomial confidence intervals and contingency tests: mathematical fun- damentals and the evaluation of alternative methods.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Binomial confidence intervals and contingency tests: mathematical fun- damentals and the evaluation of alternative methods
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:26:01.460242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56333c75-c264-41aa-b9dc-6c0e312f5b08 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.837014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad468920-3942-4c9d-a5b2-e84718f84e6d · outbound
This paper cites & Gaissmaier, W.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Gaissmaier, W
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.821140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 98eeeb73-16fe-4151-9f0e-3dfaa92a6d9e · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:26:01.472592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad6a5ce-bccc-4e78-b89e-957f198ae03c · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.795367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 162fd47e-3b02-40bb-9c58-c1d135f33060 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.782003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 928502d9-dd15-4b1c-8861-6c6d9e6c08d7 · outbound
This paper cites & Afzal, W.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Afzal, W
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.767579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5047a31a-c48f-4121-93b9-52c5dff528ff · outbound
This paper cites & Jin, S.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Jin, S
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.753076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8deab4dd-dabb-4ec5-8f08-239612e5d44b · outbound
This paper cites & Ouyang, X.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Ouyang, X
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.739454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 30c0dfa0-480b-4499-ad22-b1afe59be1b9 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.725365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f090609e-2cec-453a-8adf-05f98ce3dd29 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.710697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c63261de-99b2-4222-a90b-5772d79b89ee · outbound
This paper cites C., Hillers, V.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions C., Hillers, V
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.695579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6f7fb1c8-3e57-40ed-ba8b-6710f444e095 · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.677769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3a62ffc2-7f1b-47e3-be0d-841d5f02628b · outbound
This paper cites an unresolved cited work.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:26:01.661843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0363e268-fef2-4c5d-b923-cc1bf5898a04 · outbound
This paper cites & Baranyi, J.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Baranyi, J
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.645700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cbe901ca-3e8b-4755-9184-a7fccfff26e9 · outbound
This paper cites & Kim, J.
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions & Kim, J
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:26:01.630962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.