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Paper Citation Record · LEDGER

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.29966.

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

pith.paper-citation-record.v1
2606.29966 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:32:03.122548Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9369ccd-b1c4-48d3-9b4c-a88979f10336 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Advances in Neural Information Processing Systems

Reference 1

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Observation 585e3f11-08c3-453e-b85c-a388739dc1c4 · outbound

This paper cites [Online].

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines [Online]

Reference 2

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doi, observed 2026-06-30T06:34:18.134142Z

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Observation 2f9e512a-51d5-4bd9-ad12-58cc199c916f · outbound

This paper cites In: Advances in Neural Information Processing Systems.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Advances in Neural Information Processing Systems

Reference 3

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source=pdf_text observed=2026-06-30T06:32:03.122548Z digest=sha256:bcb6c55b114319f5be266a84eba6f3093907ba6b1be3f13fcf1afe9e14984d94

Observation 30060af1-a898-458d-a290-aa9b083c703e · outbound

This paper cites an unresolved cited work.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 4

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source=pdf_text observed=2026-06-30T06:32:03.122548Z digest=sha256:1cb53277291f04468729b92623c821587e457d977b172bcba371ef7404a8cf30

Observation 4f845236-8e43-4920-84cb-d49bab4e7bae · outbound

This paper cites Nature Reviews Physics3, 625–644 (2021).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Nature Reviews Physics3, 625–644 (2021)

Reference 5

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Observation 25c59189-da92-452f-bbe0-4f8abd8a1113 · outbound

This paper cites In: International Conference on Learn- ing Representations (2021).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: International Conference on Learn- ing Representations (2021)

Reference 6

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source=pdf_text observed=2026-06-30T06:32:03.122548Z digest=sha256:b8367a81012c84ffd409eb0b875efc4253dd2fe0ffe593026131fb73aba585f8

Observation fa794036-db6a-4a06-b8b8-8c0048335c39 · outbound

This paper cites In: International Conference on Machine Learning (2024).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: International Conference on Machine Learning (2024)

Reference 7

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Observation a33d395c-fbd0-4104-a95a-716c0a2b799e · outbound

This paper cites In: International Conference on Learning Representations (2023).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: International Conference on Learning Representations (2023)

Reference 8

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Observation 7cb7f5f9-e99f-4bfe-9e1e-24382d0b4774 · outbound

This paper cites In: International Conference on Learning Representations (2016).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: International Conference on Learning Representations (2016)

Reference 9

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Observation 1a66fb57-ebd8-44c7-8f12-aee26563fecd · outbound

This paper cites Na- ture567(7747), 209–212 (2019).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Na- ture567(7747), 209–212 (2019)

Reference 10

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Observation e98cca74-36f6-4795-9e5a-de6107a54547 · outbound

This paper cites an unresolved cited work.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 11

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source=pdf_text observed=2026-06-30T06:32:03.122548Z digest=sha256:747dbd63416dad388c0e2ee4fb577157b7d2c5c5eb2f46fd248ec0688daa4bfe

Observation 829d9110-5091-4dc5-ba5a-89c764fab391 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Advances in Neural Information Processing Systems

Reference 12

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Observation dfd868c6-4053-4b14-aa9e-8541606404da · outbound

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

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: International Conference on Learning Representations (2022)

Reference 13

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Observation f8606446-226a-4a0f-b730-b0a6c8c1da66 · outbound

This paper cites Journal of Open Source Software8(84), 5329 (2023).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Journal of Open Source Software8(84), 5329 (2023)

Reference 14

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Observation 5fe789fc-b156-4b04-9479-dbd655d3f302 · outbound

This paper cites an unresolved cited work.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 15

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Observation bc911373-e94a-4484-a692-32c84e802bae · outbound

This paper cites Annual Review of Condensed Matter Physics11, 369–395 (2020).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Annual Review of Condensed Matter Physics11, 369–395 (2020)

Reference 16

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Observation 26998928-4619-495d-ae23-42d940e8d629 · outbound

This paper cites Applied Physics Reviews 6(2), 021318 (2019).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Applied Physics Reviews 6(2), 021318 (2019)

Reference 17

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Observation c927bd03-2792-4ee1-ac1f-258e74e74f57 · outbound

This paper cites In: International Conference on Machine Learning.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: International Conference on Machine Learning

Reference 18

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Observation 231cd83d-1ef0-4123-8a6c-ec4c2f0dc66d · outbound

This paper cites Proceedings of Machine Learning and Systems6, 87–100 (2024) 20 X.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Proceedings of Machine Learning and Systems6, 87–100 (2024) 20 X

Reference 19

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Observation eed9edbc-70df-4773-98dd-98c0ba32ac8c · outbound

This paper cites In: Findings of the Association for Computational Lin- guistics: ACL 2023.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Findings of the Association for Computational Lin- guistics: ACL 2023

Reference 20

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Observation 2a76e3ce-074e-4b95-b5ef-bc5828ad61ed · outbound

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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 21

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Observation 7707f115-8340-4ee4-8d6c-e00edd81a7e5 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2022).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Advances in Neural Information Processing Systems (2022)

Reference 22

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Observation dc06abf7-f371-4519-9e24-baa3c9197ef6 · outbound

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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 23

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Observation 1019f0d8-e631-4969-9918-eab0bbaad430 · outbound

This paper cites an unresolved cited work.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 24

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Observation d229783b-f646-498d-995e-31f124799443 · outbound

This paper cites Phys- ical Review A98(3), 032309 (2018).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Phys- ical Review A98(3), 032309 (2018)

Reference 25

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Observation 04be741d-50fc-4088-9576-0c376e4af444 · outbound

This paper cites Automated collection of IBM Quantum hardware calibration data with environmental measurements.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Automated collection of IBM Quantum hardware calibration data with environmental measurements

Reference 26

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Observation ccb28a6e-20d7-43db-a77e-947f854a37e7 · outbound

This paper cites Quantum4, 226 (2020).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Quantum4, 226 (2020)

Reference 27

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Observation 31667d19-b14a-4bea-aea7-3130801d2429 · outbound

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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 28

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Observation a3c6ff6a-2518-4624-84b0-bcd603b25390 · outbound

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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 29

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Observation b12522c0-5a39-4afa-8561-e6e48e0b721e · outbound

This paper cites In: Proceedings of the 38th In- ternational Conference on Machine Learning.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Proceedings of the 38th In- ternational Conference on Machine Learning

Reference 30

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Observation fbffcb9d-4620-4185-a5d3-12b90f4daae2 · outbound

This paper cites Physical Review A103(3), 032430 (2021).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Physical Review A103(3), 032430 (2021)

Reference 31

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Observation 24ad614e-c9e2-4ed7-8040-4ace1d48023c · outbound

This paper cites an unresolved cited work.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 32

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Observation 36b4eba9-b33c-4ece-b267-11fabf9105df · outbound

This paper cites In: Advances in Neural Information Processing Systems.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Advances in Neural Information Processing Systems

Reference 33

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Observation 236df0f5-189d-4b96-a5c6-2fdf1b3117a4 · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 34

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local_arxiv, observed 2026-06-30T06:34:18.810947Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b84485fe-06b5-4296-b131-733c32923f58 · outbound

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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 35

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Observation c45bdd21-df19-4cfa-984b-57d2e5169b6a · outbound

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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines Unresolved cited work

Reference 36

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Observation 9350f59c-8c5b-49b3-be7d-2a5632148ac7 · outbound

This paper cites In: Inter- national Conference on Machine Learning (2023).

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Inter- national Conference on Machine Learning (2023)

Reference 37

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Observation ca4028b8-4c5a-43a8-a4cb-f80450b6cfcb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 38

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Pith citing papers

No inbound Pith citation observations are available.