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Paper Citation Record · LEDGER

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning

As of 6 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2606.04986.

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

pith.paper-citation-record.v1
2606.04986 v1

Coverage vector

measured 66 of 66 reference resolution

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measured 66 of 66 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation 99736b95-9030-4e8a-9cb5-badd4c77425d · outbound

This paper cites Multimedia Systems 29, 2049–2057 (2023).

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Multimedia Systems 29, 2049–2057 (2023)

Reference 1

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Observation 576c2efc-6d5f-4a6c-9a36-f1d65a6320ed · outbound

This paper cites Simultaneous Food Localization and Recognition.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Simultaneous Food Localization and Recognition

Reference 2

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Observation 4145a8db-492b-4dd2-9014-78be88e432e3 · outbound

This paper cites In: Computer Vision – ECCV 2014.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Computer Vision – ECCV 2014

Reference 3

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This paper cites In: Proceedings of the 24th ACM International Conference on Multimedia.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the 24th ACM International Conference on Multimedia

Reference 4

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Observation 2a848aa4-51f2-4373-87c6-e95d373510f4 · outbound

This paper cites Chart-r1: Chain-of- thought supervision and reinforcement for advanced chart reasoner.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Chart-r1: Chain-of- thought supervision and reinforcement for advanced chart reasoner

Reference 5

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This paper cites FIRE: Food Image to REcipe generation.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning FIRE: Food Image to REcipe generation

Reference 6

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Observation 0fd15a07-90fd-4829-b1ea-0cf42bc077c9 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics21, 588–598 (2017).

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Journal of Biomedical and Health Informatics21, 588–598 (2017)

Reference 7

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This paper cites MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable Provenance.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable Provenance

Reference 8

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This paper cites In: International Conference on Learning Representations (2022).

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: International Conference on Learning Representations (2022)

Reference 9

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This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 10

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This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 11

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2025).

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2025)

Reference 12

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

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models

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This paper cites In: International Conference on Learning Representations (2026).

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: International Conference on Learning Representations (2026)

Reference 14

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This paper cites In: Text Summarization Branches Out.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Text Summarization Branches Out

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This paper cites IEEE Trans.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Trans

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This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Appli- cations of Computer Vision.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the IEEE/CVF Winter Conference on Appli- cations of Computer Vision

Reference 17

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This paper cites IEEE Trans.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Trans

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Cambridge University Press (2008)

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Trans

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Trans

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Advances in Neural Information Processing Systems

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the Third Conference on Machine Translation: Research Papers

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: MultiMedia Model- ing

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Nutrients17(7), 1128 (2025)

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Trans

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: International Conference on Learning Representations (2025)

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: International Conference on Learning Rep- resentations (2020)

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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning yes” or “partial

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Observation e512a990-2656-45d4-a597-698bdf0df531 · outbound

This paper cites 4) One quantity item, whose name may be generic.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning 4) One quantity item, whose name may be generic

Reference 37

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Observation 81bf88cb-c535-49a4-a341-6153105dd586 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 38

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Observation 6f43f572-7c22-427e-a0f8-0208a83f97a7 · outbound

This paper cites high” or “low.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning high” or “low

Reference 39

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:fdb64b9de5b281ffc265ee5e973d51550125600ee1b95159d474e4e1bed1c6d3

Observation 3b621d85-d912-424e-bd46-add1b2d40ad4 · outbound

This paper cites Remind the user to keep their overall diet diverse and balanced, instead of focusing on a single meal.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Remind the user to keep their overall diet diverse and balanced, instead of focusing on a single meal

Reference 40

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:d03d64c9c81f06a225d23446f35c1a0abc014251395a1027185301df2756ec70

Observation 2809fcea-fdda-44dd-bf08-8d20a2ec7ab3 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 41

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:46fa8406298e6f7bdc346d1cc65813ebe58232e0c5cdd8197e42fe42b079cd24

Observation bdfaa8ea-c407-4941-85e4-f6f5a920a960 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 42

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:c2b199bea3cc464f3893847e7e2ec29d82bc5cd608bcc0ad05ce652090f8bacf

Observation b40394c6-49ee-4b65-8ced-6c82cea98a04 · outbound

This paper cites Calorie Estimation Fig.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Calorie Estimation Fig

Reference 43

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:d7e25187a46aee579f553dedb83708f9a82b2cb1290d85182b774a448cf88ae3

Observation d8f40c57-154b-4e60-9c3e-8b791ab45212 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 44

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:b696f720e99eda79604d431d63e8364f773df9ac1bb7c2a961249c4937fd2880

Observation 9a193001-6a27-453b-86db-e1c68bdaf9bf · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 45

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:6eb1be2ed0090ba43bed1f6f56d576c412454595e3d88f3f41a73f6c72367b88

Observation ef532a80-5b78-417d-bc09-593c64b40e99 · outbound

This paper cites Constraints: Do NOT give medical diagnoses, disease risk, or treatment advice.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Constraints: Do NOT give medical diagnoses, disease risk, or treatment advice

Reference 46

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:6ac08a597c700ae83d29138f28059756ab045a42b4ff7de973089a4da6445e5a

Observation a008fd06-ea59-4e9b-b229-4f9220a338cf · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 47

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:d8f4a9c31d0d84b0ff11c5b26ce00ec7ccc711fc74e42108cb0fbcce6729cc66

Observation c09e9837-559e-4db4-a77b-98f80986af40 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 48

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:f7be9149e2ca19fe784950810acfcc50f03733b909cb95efdb9e991039f480c2

Observation 5569c754-e24d-4a65-83d1-abfbd023a740 · outbound

This paper cites Food Classification Fig.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Food Classification Fig

Reference 49

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:3f85e7f7de57cd755ad797ce6d3cbeeecf309ca29cf31cebe1e3f4641b5e5855

Observation 7e19ec36-3063-45c2-a28b-91dae70d4d09 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 50

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:adeaf8e735378ec92b8ee67c2cd644670218b151ee7809206a2de52ef5393f94

Observation dc8eb2ce-fb2d-4878-a7a7-de3b9ecc4d3b · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 51

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:ac7104cc1c8abad47394cc5cba79d529b2832b545355efb87c834a05e4a32940

Observation 69096260-4713-467b-84d2-269fe489aa62 · outbound

This paper cites Ingredient Recognition Fig.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Ingredient Recognition Fig

Reference 52

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:fa823a52b84990a5bcb2aa5f936fe74639b6082754f14b73ba2332634decb8a8

Observation 574a9692-8f56-4547-b9eb-16e54eb396ef · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 53

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:6ad9da2b59d5d419af0275f6688b0bff455074f99726f6c514a4ddc6d10b2961

Observation f74f298f-6cf9-4040-8abe-f9dc99333dea · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 54

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:ad3d799e5cd6c4615ba6333b461465630eb71f3fdd60a516abc15831f8e3addb

Observation df64247a-ea78-424d-b9bc-a745737cb44c · outbound

This paper cites Recipe Generation Fig.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Recipe Generation Fig

Reference 55

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:96d02c86f677afc9121df7926c75f5da15c7c0d31ee1401c953cf2896e52833b

Observation ca9d2c09-b29b-48ab-b70e-cdfa294fdc50 · outbound

This paper cites # reasoning Produce one block wrapped in <answer>...</answer>.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Produce one block wrapped in <answer>...</answer>

Reference 56

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:55116e3b97ecc2dccf563954ee13d75547db1426d6e911c7864e8d5ba29833a6

Observation d5faac2b-f021-4f8b-bc94-28c3d8405fe3 · outbound

This paper cites # reasoning Produce one block wrapped in <answer>...</answer>.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Produce one block wrapped in <answer>...</answer>

Reference 57

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:9b78de81aa6f6270c9c40737d8d3251ff0eb3f7d7ef438b41ca50e28f5f44f4b

Observation 4e016705-b6aa-4f79-b3d4-dcc7d7548458 · outbound

This paper cites # reasoning Produce one block wrapped in <answer>...</answer>.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Produce one block wrapped in <answer>...</answer>

Reference 58

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:e91ef86935afaea2573f3a75d64c1f01e36459e98ca01db9e20d66de62fecf79

Observation 328d7f35-5f15-4fe6-b8fb-72a2ba93ce24 · outbound

This paper cites # reasoning Answer strictly in the following format: <think> …</think><answer>The ingredient is <IngredientName>.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Answer strictly in the following format: <think> …</think><answer>The ingredient is <IngredientName>

Reference 59

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:1d742f1210d39dc9b4203e633e5ac1ea31be9c54b8a37e6aa035a90432230dcf

Observation d72319ba-e65e-41df-8ba6-1f33849b8a5f · outbound

This paper cites # reasoning Answer strictly in the following format: <think> …</think><answer>The ingredient is <IngredientName>.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Answer strictly in the following format: <think> …</think><answer>The ingredient is <IngredientName>

Reference 60

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:e4518cf312a69780bb8a11be9361e99dc9835230ad9a4fb27c91edfd0854b354

Observation 12de93fe-4a25-4e73-9ff1-4586c7936472 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 61

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:a77a8715524399f29f8fe03e5aedb11bb6bbba515719234adc889c74e6c0018d

Observation 15a93e52-df51-4ee2-ba0a-fe85a6f98521 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 62

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:1bbae8f96c56372a38dd215ed9ff1670c553bd2e9a793fb3a81c9a8fde19861c

Observation 320ae8d9-006b-4565-afc0-8f36d3206ce1 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 63

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:61d51c00411384ae7d01d10659b0280cf7cd34afd5b034baa1a073874faa2d93

Observation 179873b1-b178-41b2-8a33-ef36f0dc651b · outbound

This paper cites End with the summed total.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning End with the summed total

Reference 64

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:7cb98c91257962c322831db52bae95ad538de3fdf7e7843659cce97448e357fd

Observation c29a2f37-c5c3-4f5d-bb51-f2ba3958ec45 · outbound

This paper cites an unresolved cited work.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Unresolved cited work

Reference 65

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:1a0df1833ddb180f4cad344b3b0d03163e1b4b43d38df247fd4518a239127263

Observation 4b7d21c0-f40c-44a0-b59f-3d526e8fff2d · outbound

This paper cites Do not discuss the whole dish or other ingredients.

Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Do not discuss the whole dish or other ingredients

Reference 66

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source=pdf_text observed=2026-06-28T06:23:12.214888Z digest=sha256:0a4815a38736987f9e2333eed03a2b4b2985b56ceedfae78c75ab40d7b729677

Pith citing papers

No inbound Pith citation observations are available.