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Paper Citation Record · LEDGER

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.13931.

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

pith.paper-citation-record.v1
2607.13931 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:20:41.241752Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e874b72-8eed-4456-aae6-14333dc9388c · outbound

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

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T03:20:41.069447Z digest=sha256:ed357f382845d9050dd96eb766837760dc357462f95336cf9944822210a3959a

Observation 0e6669aa-5bce-441b-a7c8-406a04c220c6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

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source=arxiv_source observed=2026-08-02T03:20:41.075686Z digest=sha256:473ab9a7e63e393afe001b5277c014ce673c1b9479ad41924f630fb2cb901261

Observation ec268e6a-fbca-434e-99a0-8c764a8fc3d6 · outbound

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

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 3

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source=arxiv_source observed=2026-08-02T03:20:41.080183Z digest=sha256:1bc415dee26c861198dc3398e2e9b5a516a20328cd16a9f851b7a33e892e4f2f

Observation 06dcff5a-f3fd-44cc-b354-a1b8179ffeb8 · outbound

This paper cites R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO

Reference 4

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source=arxiv_source observed=2026-08-02T03:20:41.084534Z digest=sha256:a5a376bf86a27cecb89581453f4eba3ded341099f59b67e59dd134d06e83b824

Observation 3a01ce91-20bb-4567-9162-45fec421330f · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 5

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source=arxiv_source observed=2026-08-02T03:20:41.089080Z digest=sha256:3745c5c31c82b61f011f1cbf7aa514b97d65b38a7117cb6f9f9322c2c046fefe

Observation 23cd4394-cf7d-4f7a-b7de-d0ea9d71ec76 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-02T03:20:41.093691Z digest=sha256:0f7b25b9a2c740c1d807a8f427650808b706e45b5c5bddde3c40ae3d4c50f13c

Observation 58bfba63-0677-4203-8ce8-47278cb26ad3 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 7

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source=arxiv_source observed=2026-08-02T03:20:41.098234Z digest=sha256:270f280061078a4760b028c364b6d3027f6b49e0c0369caf512ca395e3bc6830

Observation 93038a30-d193-4c47-b198-b678de52e9c3 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 8

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source=arxiv_source observed=2026-08-02T03:20:41.102162Z digest=sha256:c5ce7689757bcb34ac14c1633b9555f9e1ff773cf4266064f0265aaefbb83898

Observation eebd00f9-9e48-4d19-b9a1-da1e3cc66184 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 9

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source=arxiv_source observed=2026-08-02T03:20:41.107069Z digest=sha256:a504caa6e6c7be00d6948d096a1fe8376c61b8ae6dd4fb2010be54a2d81efc76

Observation 52f88b82-711d-432d-948b-3379d87541e4 · outbound

This paper cites arXiv preprint arXiv:2505.14677 , year=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning arXiv preprint arXiv:2505.14677 , year=

Reference 10

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source=arxiv_source observed=2026-08-02T03:20:41.111376Z digest=sha256:3f4aba44a78d8f0595c6cf2d12e9387db10c63378d8ff624be2e66c20f6f5349

Observation 82c3c017-6304-47c5-bbae-98c898eda726 · outbound

This paper cites arXiv preprint arXiv:2506.07218 , year=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning arXiv preprint arXiv:2506.07218 , year=

Reference 11

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source=arxiv_source observed=2026-08-02T03:20:41.115488Z digest=sha256:30666df5aad6efa22ead7cd1de1e1ad3278300b1aa7c76d4449b3041fbbcda9a

Observation 37cd9f84-d5c6-4ae7-99ec-9f3df4ec3bf2 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 12

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source=arxiv_source observed=2026-08-02T03:20:41.119447Z digest=sha256:93642806e787b63cf4688d9197c5152fb081ce4e51cdfc5b4d0a93bb1015c421

Observation 16c75267-7b7e-4d91-8939-5c284401d55e · outbound

This paper cites Perception-Aware Policy Optimization for Multimodal Reasoning.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Perception-Aware Policy Optimization for Multimodal Reasoning

Reference 13

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source=arxiv_source observed=2026-08-02T03:20:41.123647Z digest=sha256:f2075eb77e4b8e4c4a3b90c1ec237cf6a4aecb0b261b477d4aca1c3587b5b19b

Observation 5a857210-39a5-4f1c-90db-cfc8e66b6613 · outbound

This paper cites arXiv preprint arXiv:2510.09285 , year=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning arXiv preprint arXiv:2510.09285 , year=

Reference 14

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source=arxiv_source observed=2026-08-02T03:20:41.127728Z digest=sha256:5c5b9a96539d9202e9937636d23245479cbb8ed99fdf16586460e1f76131e2de

Observation df2de53d-6001-4909-9b35-3c0a7693d870 · outbound

This paper cites Visually-Guided Policy Optimization for Multimodal Reasoning.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Visually-Guided Policy Optimization for Multimodal Reasoning

Reference 15

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source=arxiv_source observed=2026-08-02T03:20:41.131609Z digest=sha256:18862490fdf193c4fa12997a1b610a6f2acd4363dcaafe91cdd22a80c74079b0

Observation 4e9af9d2-bf31-4dcb-87b6-d3754817e9f1 · outbound

This paper cites PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping

Reference 16

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source=arxiv_source observed=2026-08-02T03:20:41.136332Z digest=sha256:c22806a07b782ed42370c45e70dfbb535b95a83d17334068b0b0f79074284a15

Observation 4b2f0927-3c86-4667-8ea6-39c3887b4fd1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 17

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source=arxiv_source observed=2026-08-02T03:20:41.140552Z digest=sha256:624ab1aac97f358888739cfa3d1579a7135a996949948d84e92f7f279a0b1512

Observation c1da4876-3877-4c48-8a6d-edcaf33b5370 · outbound

This paper cites arXiv e-prints , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning arXiv e-prints , pages=

Reference 18

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source=arxiv_source observed=2026-08-02T03:20:41.144244Z digest=sha256:2d34c018e0f4a4d9d267543bebd0c40f54466811ea163928cc3f2bb37e596f87

Observation 03766e84-061f-41f4-9881-13016b986e34 · outbound

This paper cites CF-VLM:CounterFactual Vision-Language Fine-tuning.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning CF-VLM:CounterFactual Vision-Language Fine-tuning

Reference 19

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source=arxiv_source observed=2026-08-02T03:20:41.148082Z digest=sha256:3531098276bc3c95c2006208c0f4a8cbd24cda255386a443bc11fba3730b94cb

Observation bade137f-4194-4dfc-bd1d-83c167505483 · outbound

This paper cites an unresolved cited work.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-02T03:20:41.152152Z digest=sha256:a0d6787ee6b995cbdd41094147bf5e3173432ebf87786733210f43ccb9137745

Observation fccf4fab-38cf-48a1-aabc-a5b3c6b591c3 · outbound

This paper cites International Conference on Learning Representations , volume=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning International Conference on Learning Representations , volume=

Reference 21

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source=arxiv_source observed=2026-08-02T03:20:41.156053Z digest=sha256:5ee1a1e081c6dcbf3efca8471f2c054a8e045c56b25bd92b25581b33f561673c

Observation 6c87f0f3-be86-442d-a9a0-e1213ccbdff5 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 22

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source=arxiv_source observed=2026-08-02T03:20:41.159748Z digest=sha256:2c7188ca503cb5db9a18235542624f97b503d9e51449294c4771568b3a28b79b

Observation 23dabc44-cfef-43e4-9455-b34abf979ac4 · outbound

This paper cites European Conference on Computer Vision , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning European Conference on Computer Vision , pages=

Reference 23

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source=arxiv_source observed=2026-08-02T03:20:41.163405Z digest=sha256:93699fec22c8834641c27c78d5352c1f36fe86727fdf08f94fe76df545c55edb

Observation 050cad7b-6532-42ee-a5b0-791759027144 · outbound

This paper cites LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts

Reference 24

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source=arxiv_source observed=2026-08-02T03:20:41.167563Z digest=sha256:40285ceb3eb5dd0961ce8f906c6a0fa44c743653f01a230e79313b1a27168420

Observation f0bdd938-5255-4b4a-9df9-04a530486cfc · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 25

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source=arxiv_source observed=2026-08-02T03:20:41.172208Z digest=sha256:a29c84814d2f0be3e25546ce9bfd7eadafa777a77657c2d738c270e16bb7e16a

Observation 30e21131-e30c-4264-a60d-559dbcd68bb5 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 26

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source=arxiv_source observed=2026-08-02T03:20:41.175902Z digest=sha256:630277caf25b3bc714b43653a0dfc756c6e4ddeecc2dcadc74cc2f593847961a

Observation aa19fba9-2432-4f92-b33b-c042f3423469 · outbound

This paper cites 2024 , month = may, howpublished =.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning 2024 , month = may, howpublished =

Reference 27

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source=arxiv_source observed=2026-08-02T03:20:41.179957Z digest=sha256:9cc6d144be00b313f988d66bb635abd8ca8ede139e4758cde2c49b5a47ea99f9

Observation e55873ec-38b4-42b7-ac90-e3268fb95f9b · outbound

This paper cites an unresolved cited work.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-02T03:20:41.183889Z digest=sha256:117007ec786c3d83b7415abd9dae3cc39bdf521cfd1f25f1d746bdde1fa3f1cd

Observation e6afbab4-89b5-4b16-a117-d63251e86a9f · outbound

This paper cites 2024 , month = dec, howpublished =.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning 2024 , month = dec, howpublished =

Reference 29

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source=arxiv_source observed=2026-08-02T03:20:41.187886Z digest=sha256:93c95658eef4df87ae0f1ad830ae004daaa987dfb6a45070dff06e557cb6db0c

Observation 1e0d0e07-0b14-461d-8ecc-7f9e7bc05fbb · outbound

This paper cites an unresolved cited work.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-02T03:20:41.191755Z digest=sha256:cf7c038e50d1955731a5efddc6baf5e8c12b63c7ebd9f2de9ddb6cd9f779f42a

Observation 2d25c3fe-f8cb-4c47-ab89-0e73e75513d3 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 31

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source=arxiv_source observed=2026-08-02T03:20:41.195442Z digest=sha256:2579b75543032def3a86d106c0d7cb191e0913b6ee08e2fc8688375be5a83b75

Observation 51611e9f-0453-4014-a84a-a2a6033b3a52 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning LLaVA-OneVision: Easy Visual Task Transfer

Reference 32

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source=arxiv_source observed=2026-08-02T03:20:41.199785Z digest=sha256:ddb90e4dabf305b3e868f0227064fc19ce9de3704622be6ca708f7d4ed651123

Observation 1695f712-e412-4c6f-af1d-00176ee54f5e · outbound

This paper cites LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Reference 33

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source=arxiv_source observed=2026-08-02T03:20:41.204065Z digest=sha256:52340d751d9e076c8f693383969d35ca33b825b4e6e9c4191263153bc74faeb0

Observation 98c9f657-6b68-4eb6-8288-294bb38a9e9a · outbound

This paper cites LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model

Reference 34

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source=arxiv_source observed=2026-08-02T03:20:41.208153Z digest=sha256:2bcd364049aa4b5d6bceb01aa7a8cc44dc2f0598704f1fb593d07953947d50b7

Observation f0ca5672-f31d-48a6-b150-90da9a97faf1 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 35

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source=arxiv_source observed=2026-08-02T03:20:41.212250Z digest=sha256:864d65e28ae68b54b82a6d8b087009345bfda12f8611bb04ebeb239bd38d1ddb

Observation b5b0b13f-0f76-4cf7-99a4-62422ab98184 · outbound

This paper cites CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models

Reference 36

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source=arxiv_source observed=2026-08-02T03:20:41.216453Z digest=sha256:9c6bb938140c75912211687054c824a45e2c268b29a434e43efeb6824243a0f4

Observation 8eb62959-dc9a-4e5e-8da8-cd81bdc271bc · outbound

This paper cites an unresolved cited work.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Unresolved cited work

Reference 37

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Observation 3b2f3b5e-95e9-43e5-89b4-e24edf9eb807 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 38

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no resolver link, observed 2026-08-02T03:20:41.224809Z

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Observation 8a3f002b-3c6f-45f7-8151-317c55b11046 · outbound

This paper cites arXiv preprint arXiv:2506.04559 , year=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning arXiv preprint arXiv:2506.04559 , year=

Reference 39

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no resolver link, observed 2026-08-02T03:20:41.229312Z

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Observation 576237ce-1c56-4d04-b8a5-eef74665169d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 40

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Observation 606a8c52-2679-4953-a487-9042aea00642 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 41

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no resolver link, observed 2026-08-02T03:20:41.237810Z

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Observation 93a670d9-fc5d-47b9-a957-a62cfc7364c6 · outbound

This paper cites arXiv preprint arXiv:2601.06801 , year=.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning arXiv preprint arXiv:2601.06801 , year=

Reference 42

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no resolver link, observed 2026-08-02T03:20:41.241752Z

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