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Paper Citation Record · LEDGER

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.16131.

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

pith.paper-citation-record.v1
2607.16131 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:19:23.054533Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation 28db36b4-da43-427e-9016-113e65204c71 · outbound

This paper cites Zero-shot scientific claim verification using LLMs and citation text.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Zero-shot scientific claim verification using LLMs and citation text

Reference 1

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source=pdf_text observed=2026-08-01T21:19:19.056286Z digest=sha256:522af4bfb58ce3711fe2e115f83fbc600445622ef7a8bd2cbd5f472ab8896ac1

Observation 63743b41-d21a-4480-94b4-088508c34922 · outbound

This paper cites TabFact: A large-scale dataset for table-based fact verification.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning TabFact: A large-scale dataset for table-based fact verification

Reference 2

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source=pdf_text observed=2026-08-01T21:19:19.105637Z digest=sha256:5c348f65016f35b8ea74b54ca182d0f14aa7db20a6a676b7c8c1ab6cbad8a69f

Observation f7f3c4f5-7731-4d49-8c19-14cbcdfd1efe · outbound

This paper cites Gemma 4: Byte for byte, the most capable open models, April 2026.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Gemma 4: Byte for byte, the most capable open models, April 2026

Reference 3

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Observation 221abf52-2a51-47bc-a757-f4bd3b3c2283 · outbound

This paper cites Refocus: Visual editing as a chain of thought for structured image understanding.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Refocus: Visual editing as a chain of thought for structured image understanding

Reference 4

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source=pdf_text observed=2026-08-01T21:19:19.217576Z digest=sha256:2d4a40156209d4d01a38c70df05bc733afb4809385c729f9b80da98a5e48560d

Observation 109124e0-0e46-406d-ac1e-6ab04fa9ab5e · outbound

This paper cites Visual programming: Compositional visual reasoning without training.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Visual programming: Compositional visual reasoning without training

Reference 5

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source=pdf_text observed=2026-08-01T21:19:19.293957Z digest=sha256:7023e806a5b4bbd5f0182deb7bb5e5b365a7a36cf1c1e83dbe994ddcdea587ec

Observation 353b6c1a-1944-499a-8269-af9ba701eae2 · outbound

This paper cites Format matters: The robustness of multimodal LLMs in reviewing evidence from tables and charts.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Format matters: The robustness of multimodal LLMs in reviewing evidence from tables and charts

Reference 6

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Observation 7a2c9918-77be-4a83-bb77-4343d08888bf · outbound

This paper cites SciClaimEval: Cross-modal claim verification in scientific papers.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning SciClaimEval: Cross-modal claim verification in scientific papers

Reference 7

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Observation 5fdcec58-fd41-4382-987d-aa59e6d33e83 · outbound

This paper cites Smith, and Ranjay Krishna.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Smith, and Ranjay Krishna

Reference 8

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source=pdf_text observed=2026-08-01T21:19:19.502003Z digest=sha256:93d9e234e9a7b0b9369d6976c60563d62b6ecfc5e6410ae675071800fd0649e7

Observation f0c78c70-bbac-423d-8cf2-02201fdeb5f1 · outbound

This paper cites Verltool: Towards holistic agentic reinforcement learning with tool use.arXiv preprint arXiv:2509.01055, 2025.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Verltool: Towards holistic agentic reinforcement learning with tool use.arXiv preprint arXiv:2509.01055, 2025

Reference 9

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Observation a866bc33-542b-4de4-9fc0-2d3a1eb9646f · outbound

This paper cites DVQA: Un- derstanding data visualizations via question answering.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning DVQA: Un- derstanding data visualizations via question answering

Reference 10

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source=pdf_text observed=2026-08-01T21:19:19.638667Z digest=sha256:86ce57dc2b68959b576f568a4f114269d153ef8704c1c889721736f44c82a046

Observation ec772387-0f8c-4408-9976-7798393c51f3 · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 11

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Observation 982a8b2c-97ad-46b2-a4bb-f712ae528988 · outbound

This paper cites Multicheck: Strengthening web trust with unified multimodal fact verification.arXiv preprint arXiv:2508.05097, 2025.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Multicheck: Strengthening web trust with unified multimodal fact verification.arXiv preprint arXiv:2508.05097, 2025

Reference 12

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Observation 074965f2-97f8-40f6-85a9-7d9082d808a5 · outbound

This paper cites MuSciClaims: Multimodal scientific claim ver- ification.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning MuSciClaims: Multimodal scientific claim ver- ification

Reference 13

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source=pdf_text observed=2026-08-01T21:19:19.887193Z digest=sha256:697721a0ecf40f522f6a3e39cbc5ad8ce37ae0f3dd0f350e33cbca7094714c7a

Observation 367d963a-966a-466e-b341-132aecb44470 · outbound

This paper cites DePlot: One-shot visual language reasoning by plot-to-table translation.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning DePlot: One-shot visual language reasoning by plot-to-table translation

Reference 14

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Observation fb1cf10d-57b8-4774-9edc-25968df943af · outbound

This paper cites MatCha: Enhancing visual language pretraining with math reasoning and chart derendering.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning MatCha: Enhancing visual language pretraining with math reasoning and chart derendering

Reference 15

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Observation b59b992c-966f-4f30-9f9a-69d0dc454ff4 · outbound

This paper cites SCITAB: A challenging benchmark for compositional reasoning and claim verification on scientific tables.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning SCITAB: A challenging benchmark for compositional reasoning and claim verification on scientific tables

Reference 16

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source=pdf_text observed=2026-08-01T21:19:20.094417Z digest=sha256:ae782c8a2ced1786cdd9410f1c247584aeb9abab02dc2bb00d3d15c4e64c9aef

Observation 38888588-d8ab-4067-8327-f82a139b1e80 · outbound

This paper cites ChartQA: A benchmark for question answering about charts with visual and logical reasoning.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning ChartQA: A benchmark for question answering about charts with visual and logical reasoning

Reference 17

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Observation f3218db0-b45e-4eef-819d-a12eed29feb2 · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning ToolRL: Reward is All Tool Learning Needs

Reference 18

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Observation b19cf544-bc94-4d9e-9d6c-2ef708ce6eec · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Qwen3.5: Towards native multimodal agents, February 2026

Reference 19

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Observation 4c979251-8d36-4c5b-b4f0-6380c93a8187 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Toolformer: Language models can teach themselves to use tools

Reference 20

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Observation 0967192b-06a6-4ffb-bd08-2bb3eaa1484d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 21

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Observation 93f6f636-8782-437b-84c5-4e6a8fc5c57b · outbound

This paper cites OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Reference 22

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Observation d85c9d4e-7d69-4277-a2c7-765771240e1b · outbound

This paper cites ViperGPT: Visual inference via python execution for reasoning.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning ViperGPT: Visual inference via python execution for reasoning

Reference 23

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Observation 8588f312-a318-4af1-a216-4eebded586c6 · outbound

This paper cites FEVER: A large-scale dataset for fact extraction and VERification.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning FEVER: A large-scale dataset for fact extraction and VERification

Reference 24

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Observation ee5a4f4b-d974-484c-a708-7b3df93e5135 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 25

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Observation a7b0fc1c-fe82-4fc6-bb18-10d5d6ce2eb7 · outbound

This paper cites Fact or fiction: Verifying scientific claims.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Fact or fiction: Verifying scientific claims

Reference 26

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Observation a519982e-32f7-4056-bac2-453e45b8355f · outbound

This paper cites SciFact-open: Towards open-domain scientific claim verification.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning SciFact-open: Towards open-domain scientific claim verification

Reference 27

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Observation 204c7960-0fc2-484c-9a42-618947a63ee8 · outbound

This paper cites doi: 10.18653/v1/N18-1074.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning doi: 10.18653/v1/N18-1074

Reference 28

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Observation 6b4a3089-68e6-4de0-a575-5bc510051d12 · outbound

This paper cites SciVer: Evaluating foundation models for multimodal scientific claim verification.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning SciVer: Evaluating foundation models for multimodal scientific claim verification

Reference 29

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Observation 49ab8111-3f5f-4533-9c53-af0b7beee867 · outbound

This paper cites Piecing it all together: Verifying multi-hop multimodal claims.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Piecing it all together: Verifying multi-hop multimodal claims

Reference 30

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Observation f0d73c2e-1835-45b5-8b31-5de8c0bde113 · outbound

This paper cites Acting Less is Reasoning More! Teaching Model to Act Efficiently.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Acting Less is Reasoning More! Teaching Model to Act Efficiently

Reference 31

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Observation b70f933a-2a50-40ae-9916-8198ee71dbf3 · outbound

This paper cites MultiVerS: Improving scientific claim verification with weak supervision and full-document context.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning MultiVerS: Improving scientific claim verification with weak supervision and full-document context

Reference 32

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Observation 3f0fb450-0b94-4085-802e-75d035194283 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Chain-of-thought prompting elicits reasoning in large language models

Reference 33

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Observation 23c61568-4888-447a-adb9-5f436b29d64b · outbound

This paper cites Vtool-r1: Vlms learn to think with images via reinforcement learning on multimodal tool use.arXiv preprint arXiv:2505.19255, 2025.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Vtool-r1: Vlms learn to think with images via reinforcement learning on multimodal tool use.arXiv preprint arXiv:2505.19255, 2025

Reference 34

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Observation 2f7c87d8-b077-41f0-966e-d26e484807d0 · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 35

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Observation f187a4e2-a70d-4a2b-986f-c9a02dc2db5e · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 36

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Observation 0b84ba5c-9780-46e8-b010-09aa269d6131 · outbound

This paper cites M 2-TabFact: Multi-document multi-modal fact verification with vi- sual and textual representations of tabular data.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning M 2-TabFact: Multi-document multi-modal fact verification with vi- sual and textual representations of tabular data

Reference 37

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 42e63323-a373-40b0-99eb-3170c865b014 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning React: Synergizing reasoning and acting in language models

Reference 40

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 102b7b43-b303-4313-8453-172548c0e711 · outbound

This paper cites an unresolved cited work.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Unresolved cited work

Reference 2018

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08bf8448-c3ae-4ae0-9220-4de63740aa97 · outbound

This paper cites doi: 10.18653/v1/2022.findings-acl.177.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning doi: 10.18653/v1/2022.findings-acl.177

Reference 2022

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cabba041-49c1-463e-8d75-d96d4633f520 · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning ToolRL: Reward is All Tool Learning Needs

Reference 2025

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unresolved
no resolver link, observed 2026-08-01T21:19:20.568459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.