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Paper Citation Record · LEDGER

Evidence-RL: Towards Evidence-intensive Visual Reasoning

As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.08021.

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

pith.paper-citation-record.v1
2608.08021 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:05.892968Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

25 of 25 outbound references displayed

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  • verified fuzzy1
  • unresolved20
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9dfa458-87c4-4632-a537-45085cdb9cd6 · outbound

This paper cites Tool- r0: Self-evolving llm agents for tool-learning from zero data.arXiv preprint arXiv:2602.21320,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Tool- r0: Self-evolving llm agents for tool-learning from zero data.arXiv preprint arXiv:2602.21320,

Reference 1

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source=pdf_text observed=2026-08-12T00:39:05.800340Z digest=sha256:596ce1f54ab919e94300b213cf86d23c72cf79ff22862982244c629e39617233

Observation dfb1ce76-87af-4d5a-af9b-c0bec83ec15d · outbound

This paper cites Sophiavl-r1: Reinforc- ing mllms reasoning with thinking reward.arXiv preprint arXiv:2505.17018,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Sophiavl-r1: Reinforc- ing mllms reasoning with thinking reward.arXiv preprint arXiv:2505.17018,

Reference 4

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source=pdf_text observed=2026-08-12T00:39:05.812847Z digest=sha256:8ad4159dfbdbe6c53f9a22ce5c5c7f6edb13bda66f93e0f5e85777521abda073

Observation 0069c6a6-1118-4305-bf8d-fab3f2f31596 · outbound

This paper cites Spotlight on token perception for multimodal reinforcement learning.arXiv preprint arXiv:2510.09285,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Spotlight on token perception for multimodal reinforcement learning.arXiv preprint arXiv:2510.09285,

Reference 6

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source=pdf_text observed=2026-08-12T00:39:05.820629Z digest=sha256:1411acc1a535c6c73640bd696cf73ac91829e5a0331aea3a7ed56639b19517ba

Observation bf88e92f-4dac-4959-a799-4f1a421fbda7 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Evidence-RL: Towards Evidence-intensive Visual Reasoning LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 7

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source=pdf_text observed=2026-08-12T00:39:05.824676Z digest=sha256:122785a31c64e6e0a7078781a6819844523069c7600eff3ee41579d8474b605a

Observation 0d76588c-f76f-495e-8348-11704440b442 · outbound

This paper cites Treble Counterfactual VLMs: A Causal Approach to Hallucination.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Treble Counterfactual VLMs: A Causal Approach to Hallucination

Reference 8

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source=pdf_text observed=2026-08-12T00:39:05.828512Z digest=sha256:5efc5c329666372d387e24b7f98cb591f675d06c1fde28f4daea4a20418e0063

Observation 5078d6ed-8519-4389-9a3e-c77b9b33bfdb · outbound

This paper cites Evaluating object hallucination in large vision-language models.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Evaluating object hallucination in large vision-language models

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:39:05.832213Z digest=sha256:80d97128bb3028172b24f0d99c22331c9edea52e352704dec48ac3d65be41a84

Observation 7310bdba-2adb-4724-b15b-138f74838505 · outbound

This paper cites Vision language models are blind: Failing to translate detailed visual features into words.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Vision language models are blind: Failing to translate detailed visual features into words

Reference 13

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source=pdf_text observed=2026-08-12T00:39:05.848942Z digest=sha256:19778a91ebbe040c663fc220a7b57a45ca19fa1f350438b21967e60104221d94

Observation ab05cd7b-14b8-45f5-b9c3-6f8fbadddbaa · outbound

This paper cites Proximal Policy Optimization Algorithms.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Proximal Policy Optimization Algorithms

Reference 14

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source=pdf_text observed=2026-08-12T00:39:05.852736Z digest=sha256:0f07651e6370d6c7542831668bba3051d258043f7a5c57a1cb94235cb6727453

Observation 83875587-b800-4e2a-967b-0d3497eddaa7 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

Evidence-RL: Towards Evidence-intensive Visual Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 16

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source=pdf_text observed=2026-08-12T00:39:05.859671Z digest=sha256:bd1f54a442b3a9aa3b8bd8d9c3d6b6972892611d40d402614a7abc81374ea22d

Observation 91acbfc0-b453-420d-8c8a-c9233ded11e4 · outbound

This paper cites Regionreasoner: Region-grounded multi-round visual reasoning.arXiv preprint arXiv:2602.03733,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Regionreasoner: Region-grounded multi-round visual reasoning.arXiv preprint arXiv:2602.03733,

Reference 17

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:39:05.863676Z digest=sha256:cbfca78a5e1e5c4ae1b91917497191f0cb896f528374a0376ddff26b2b16691c

Observation 58f1fe84-3691-401f-a38a-f504f8d93ee9 · outbound

This paper cites VGR: Visual Grounded Reasoning.

Evidence-RL: Towards Evidence-intensive Visual Reasoning VGR: Visual Grounded Reasoning

Reference 18

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source=pdf_text observed=2026-08-12T00:39:05.867332Z digest=sha256:3a96ca82cd4fb77d8ba68c00ccf592941cecdb73ba9fb4499a552f35ffa89869

Observation 4cd0f623-b3a5-4ecf-8725-a9fa58ff3ad1 · outbound

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

Evidence-RL: Towards Evidence-intensive Visual Reasoning InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 19

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source=pdf_text observed=2026-08-12T00:39:05.871309Z digest=sha256:b16f3807b724cdcebbca144a50a797de45be42c2928ed3e6d06cc43d2c2a8d61

Observation 0b9ee68d-1667-4c91-9ad5-7fa053eb388a · outbound

This paper cites Perception-r1: Advancing multimodal reasoning capabilities of mllms via visual perception reward.arXiv preprint arXiv:2506.07218,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Perception-r1: Advancing multimodal reasoning capabilities of mllms via visual perception reward.arXiv preprint arXiv:2506.07218,

Reference 20

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source=pdf_text observed=2026-08-12T00:39:05.875271Z digest=sha256:f162652c98b449366b1c1ac8fc1892b1e9e74567109d120d132208637baef508

Observation b5db48f9-afc0-46a5-8235-258bbb94fddc · outbound

This paper cites Hii-dpo: Eliminate hallucination via accurate hallucination-inducing counterfactual images.arXiv preprint arXiv:2602.10425,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Hii-dpo: Eliminate hallucination via accurate hallucination-inducing counterfactual images.arXiv preprint arXiv:2602.10425,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:39:05.878812Z digest=sha256:2511979b0117617cd33d7214fd1e04cdb1be9b818d8903086de4d219550e8ac9

Observation 06b610bd-3c22-45c7-9776-6449837c9e14 · outbound

This paper cites Freak: A fine-grained hallucination evaluation benchmark for advanced mllms.arXiv preprint arXiv:2603.19765,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Freak: A fine-grained hallucination evaluation benchmark for advanced mllms.arXiv preprint arXiv:2603.19765,

Reference 22

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source=pdf_text observed=2026-08-12T00:39:05.882355Z digest=sha256:df75ff690b4873ac16f6eee2585a9367d26c3ac5680ae53cf3f35550f07fc769

Observation c753def7-f0a6-499a-81b6-d320da5fcc95 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Evidence-RL: Towards Evidence-intensive Visual Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 23

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source=pdf_text observed=2026-08-12T00:39:05.885814Z digest=sha256:d724066a925b273e3631f600f06dfff919ae7dac1b093078741040d26403890a

Observation 9516e083-2882-474c-8f15-0af076e07cb9 · outbound

This paper cites Paper notation.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Paper notation

Reference 25

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:39:05.892968Z digest=sha256:04fcc6a62bcea4ba218b55183c57c7663c05bca249985bbded00400fad2b6db3

Observation f72541ce-2575-4e66-a224-da6f4a59053c · outbound

This paper cites Perceptual-evidence anchored reinforced learning for multimodal reasoning.arXiv preprint arXiv:2511.18437, 2025a.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Perceptual-evidence anchored reinforced learning for multimodal reasoning.arXiv preprint arXiv:2511.18437, 2025a

Reference 2014

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source=pdf_text observed=2026-08-12T00:39:05.889512Z digest=sha256:9fc81111c1a554cd85c6d763bf8300efbff90a6c8c669b5d160cc5238310dee0

Observation 7e209b76-8d90-4769-aba2-610a8b897fb5 · outbound

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

Evidence-RL: Towards Evidence-intensive Visual Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2017

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source=pdf_text observed=2026-08-12T00:39:05.856137Z digest=sha256:969ccbd15fe4a4897e1eba1e1d8265ce4a8808a35d71cabe1f8cad8435d41722

Observation 44272ef2-07fa-4948-8519-60251738e985 · outbound

This paper cites Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens

Reference 2018

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source=pdf_text observed=2026-08-12T00:39:05.844143Z digest=sha256:07fa304fe13f737bf30a09159aa24ef4ac5ce548a13fa2918e90b83ccca1cc5c

Observation e30091e1-c254-4316-92d6-4ce14204807c · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Evidence-RL: Towards Evidence-intensive Visual Reasoning MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 2022

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source=pdf_text observed=2026-08-12T00:39:05.839955Z digest=sha256:8c293cac01df65a63bea2f40df78a8047d2603d3f0086706f1ac6f0f0062feaa

Observation 617224c5-5421-4b07-a6ad-723238812bb3 · outbound

This paper cites Self-Rewarding Vision-Language Model via Reasoning Decomposition.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 2023

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source=pdf_text observed=2026-08-12T00:39:05.835943Z digest=sha256:c8ba9f2599536cdc3a788f449f98c894d0a55c9e9ae9b6378749896bf9390816

Observation 47b179b8-5d6f-4126-9d5f-2f3a457ac9fb · outbound

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

Evidence-RL: Towards Evidence-intensive Visual Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

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source=pdf_text observed=2026-08-12T00:39:05.816731Z digest=sha256:85165c7119f51961485e6deea37f1d993e8df03a9fb05f64145adeceacf15227

Observation 399ab30b-0d93-4c76-bfa4-48d46c04ad39 · outbound

This paper cites Linking perception, confidence and accuracy in mllms.arXiv preprint arXiv:2603.12149,.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Linking perception, confidence and accuracy in mllms.arXiv preprint arXiv:2603.12149,

Reference 2025

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source=pdf_text observed=2026-08-12T00:39:05.808738Z digest=sha256:ad6202b92a1538c57d812a9ac26cd89af441b48b660ef970aea6b74591e1920a

Observation e7fa1d77-bdc2-4f9a-8d4c-d92eb13948eb · outbound

This paper cites Qwen3-VL Technical Report.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Qwen3-VL Technical Report

Reference 2026

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source=pdf_text observed=2026-08-12T00:39:05.804628Z digest=sha256:439adde53a33782eb92a4d70ffc401cc5e7a39e5ebc9c2b0b6a931627ed83a02

Pith citing papers

No inbound Pith citation observations are available.