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Paper Citation Record · LEDGER

Attention-Steered Vision-Language Models for Sign Language Translation

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.00235.

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

pith.paper-citation-record.v1
2608.00235 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:00:13.409331Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 78799370-05fd-469f-8f38-25bbe7eb66cc · outbound

This paper cites Qwen Technical Report.

Attention-Steered Vision-Language Models for Sign Language Translation Qwen Technical Report

Reference 2

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source=pdf_text observed=2026-08-04T01:00:10.924806Z digest=sha256:ae788dc7e61b9c713d5bdf695c305862651145e442ec05c03e31d826e1fe4f4d

Observation 181e2960-f78b-416c-95fc-ad12a27ae49f · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Attention-Steered Vision-Language Models for Sign Language Translation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 5

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source=pdf_text observed=2026-08-04T01:00:11.373099Z digest=sha256:1c5241e11c13fd30bc46178eb23c5f7d18a7ac3af6ba5e7a60b47a0cf6ee1984

Observation bf3d7857-b1b1-4c69-89e7-828fc3418580 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Attention-Steered Vision-Language Models for Sign Language Translation Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 7

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source=pdf_text observed=2026-08-04T01:00:11.630931Z digest=sha256:aaa397104a81e76686561131e51742aededa9ef3b7fb5d5be6aa6a79d47a5f34

Observation 03f19c66-c7bf-41dd-8907-40e73dd52010 · outbound

This paper cites InFindings of the Association for Computational Linguistics: ACL 2025, pages 3691–3706.

Attention-Steered Vision-Language Models for Sign Language Translation InFindings of the Association for Computational Linguistics: ACL 2025, pages 3691–3706

Reference 9

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source=pdf_text observed=2026-08-04T01:00:11.918228Z digest=sha256:6670c325b8d38a5408f71631dc47ec35b308207556371f05f616febbda9b3b1b

Observation 427acfca-d6f2-4899-b330-e11d9dc2479b · outbound

This paper cites an unresolved cited work.

Attention-Steered Vision-Language Models for Sign Language Translation Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-04T01:00:13.409331Z digest=sha256:e00acb64881e7de5dbd4c21452825e0d9c2ec2652b80b2258e3d1ab53bd2ea57

Observation 396ace77-f43b-4ae0-8fb4-0acad0e48ff9 · outbound

This paper cites Jungeun Kim, Hyeongwoo Jeon, Jongseong Bae, and Ha Young Kim.

Attention-Steered Vision-Language Models for Sign Language Translation Jungeun Kim, Hyeongwoo Jeon, Jongseong Bae, and Ha Young Kim

Reference 11

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source=pdf_text observed=2026-08-04T01:00:12.106130Z digest=sha256:e8c6d4b0d807168dfce306ac08a90ff4dc05885f3b3224f09c090d7e9865d739

Observation dad83d2f-0d40-4149-adec-bb428e99952f · outbound

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

Attention-Steered Vision-Language Models for Sign Language Translation LLaVA-OneVision: Easy Visual Task Transfer

Reference 12

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source=pdf_text observed=2026-08-04T01:00:12.178781Z digest=sha256:c6c1a8bbfd86cca58875da4e0d18c3976b9c8935f9e604aaa075f4446e6a8f95

Observation 2485f82d-dfc5-4bbb-841c-18a15b19c7ed · outbound

This paper cites Uni-Sign: Toward Unified Sign Language Understanding at Scale.

Attention-Steered Vision-Language Models for Sign Language Translation Uni-Sign: Toward Unified Sign Language Understanding at Scale

Reference 13

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source=pdf_text observed=2026-08-04T01:00:12.241541Z digest=sha256:5a0fa27a11e2845df2975397919cc452e4cfafa7fc452d8e7048481b90b18e04

Observation 8ef20c0d-6956-4657-9850-540d34c6b882 · outbound

This paper cites LLaVA-SLT: Visual Language Tuning for Sign Language Translation.

Attention-Steered Vision-Language Models for Sign Language Translation LLaVA-SLT: Visual Language Tuning for Sign Language Translation

Reference 14

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source=pdf_text observed=2026-08-04T01:00:12.304433Z digest=sha256:c55ac2b1ba9e35e68fa15d0e6819d511ae7b70850942514e4f6f5195b0a9b2c1

Observation 129816de-eeef-4ecc-8577-3d493b323e51 · outbound

This paper cites Gloss-Free End-to-End Sign Language Translation.

Attention-Steered Vision-Language Models for Sign Language Translation Gloss-Free End-to-End Sign Language Translation

Reference 15

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source=pdf_text observed=2026-08-04T01:00:12.360459Z digest=sha256:9a6fa8637fdefecdfc67daab448cc5e3b4cd8234746517304e7907182f3f7d20

Observation fc00cfd1-1ddd-496f-b583-b312c7d1ec5e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Attention-Steered Vision-Language Models for Sign Language Translation DINOv2: Learning Robust Visual Features without Supervision

Reference 17

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source=pdf_text observed=2026-08-04T01:00:12.516370Z digest=sha256:53e42a4f701fb7050dc9e800c4e313ff00fcca63a35d888510aae469c555ab24

Observation d6f28f0b-226f-4d8a-b879-dd71a45f85b9 · outbound

This paper cites SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation.

Attention-Steered Vision-Language Models for Sign Language Translation SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation

Reference 19

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source=pdf_text observed=2026-08-04T01:00:12.673782Z digest=sha256:8c9b3beab985330e57daa9bdf7b01ef7b99e1b31111786a71dbddba10e27e4f8

Observation 25bddd58-1e02-461a-a0b0-cf7d62eae2c8 · outbound

This paper cites Phillip Rust, Bowen Shi, Skyler Wang, Necati Cihan Camgöz, and Jean Maillard.

Attention-Steered Vision-Language Models for Sign Language Translation Phillip Rust, Bowen Shi, Skyler Wang, Necati Cihan Camgöz, and Jean Maillard

Reference 20

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source=pdf_text observed=2026-08-04T01:00:12.750334Z digest=sha256:d1d995c81d16b9529e2a8e526ec7ea7e8a90a31da5296294491140b6f0e3888a

Observation 29f0be70-c52c-4ba1-b6e9-6c0196dfc622 · outbound

This paper cites Towards Privacy-Aware Sign Language Translation at Scale.

Attention-Steered Vision-Language Models for Sign Language Translation Towards Privacy-Aware Sign Language Translation at Scale

Reference 21

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source=pdf_text observed=2026-08-04T01:00:12.828415Z digest=sha256:d751f133dea4f569e5c8f0d56e776786bc57a8c77c00f42e37e70093e0e097f0

Observation 734e8249-fcfa-481f-9278-c7a5c94770dd · outbound

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

Attention-Steered Vision-Language Models for Sign Language Translation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

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source=pdf_text observed=2026-08-04T01:00:12.887990Z digest=sha256:0747413b5a54c4f04b7e82e80dc8c145727dd11694ac25c47f2ba6a851f92c6a

Observation da7d3dd4-a551-4e14-9e76-25ea0c72a124 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Attention-Steered Vision-Language Models for Sign Language Translation Gemini: A Family of Highly Capable Multimodal Models

Reference 23

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Observation 76de9bcd-1e99-4356-926d-39ead8a66ccd · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Attention-Steered Vision-Language Models for Sign Language Translation LLaMA: Open and Efficient Foundation Language Models

Reference 24

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Observation 3979c841-3685-424d-bc23-68e006fbbe02 · outbound

This paper cites Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation.

Attention-Steered Vision-Language Models for Sign Language Translation Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

Reference 25

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source=pdf_text observed=2026-08-04T01:00:13.111746Z digest=sha256:ef79e33573bf667ebba5b18b2f459f877f3acf7bdd4a2d6d52bc42827572aa2c

Observation d203e0d9-2696-496b-aab7-f4cdc0d43153 · outbound

This paper cites an unresolved cited work.

Attention-Steered Vision-Language Models for Sign Language Translation Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-04T01:00:13.180722Z digest=sha256:a636b08bbac553b04070b3d08bd338cb238492d1b8aa751d4e9b571816acd521

Observation 0acc7da7-c588-4a37-b89a-208a92f622e8 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Attention-Steered Vision-Language Models for Sign Language Translation DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 27

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Observation da7e96d0-5ce3-4680-9d6b-a7c0a54f9fa2 · outbound

This paper cites SLTUNET: A Simple Unified Model for Sign Language Translation.

Attention-Steered Vision-Language Models for Sign Language Translation SLTUNET: A Simple Unified Model for Sign Language Translation

Reference 28

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source=pdf_text observed=2026-08-04T01:00:13.336132Z digest=sha256:74ce791acaea21f831013a3377fca26fdec446a6b67d20e38fb64d3bded4ffc2

Observation 3c8e876d-4ebb-40cf-bfbe-0a30a85a4580 · outbound

This paper cites an unresolved cited work.

Attention-Steered Vision-Language Models for Sign Language Translation Unresolved cited work

Reference 2002

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source=pdf_text observed=2026-08-04T01:00:12.601422Z digest=sha256:c5a6e59a58e970046b9cfc6c2eef68e825360e1608963bf119d5df2f3ae3db41

Observation ce6a3a5a-d506-4bd8-8b4e-69622ce9867e · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Attention-Steered Vision-Language Models for Sign Language Translation MediaPipe: A Framework for Building Perception Pipelines

Reference 2019

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Observation 7dff6ef3-7b3d-4568-ab18-26de9da3acfa · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Attention-Steered Vision-Language Models for Sign Language Translation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

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source=pdf_text observed=2026-08-04T01:00:11.539517Z digest=sha256:38b68c3ca819b8f3b5b9e0828ea3d9120577b4b1ee7142c0aff264de74850a78

Observation 44ec9c65-414a-454c-81bc-e0be461176ce · outbound

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

Attention-Steered Vision-Language Models for Sign Language Translation Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 2022

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Observation 58c4a974-95d3-42c4-90db-ba77c9f46c3d · outbound

This paper cites GPT-4 Technical Report.

Attention-Steered Vision-Language Models for Sign Language Translation GPT-4 Technical Report

Reference 2023

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source=pdf_text observed=2026-08-04T01:00:10.802276Z digest=sha256:665b84de00f6524659f33addeeefa04b3ca605ab6a32ac99421b0e4f55c3d8ce

Observation c66087e8-7dcb-41d0-90ef-41fae2e4a5a4 · outbound

This paper cites An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs.

Attention-Steered Vision-Language Models for Sign Language Translation An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs

Reference 2024

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Observation 5ba17715-4537-4200-ad31-243d6dad5221 · outbound

This paper cites Qwen2.5-VL Technical Report.

Attention-Steered Vision-Language Models for Sign Language Translation Qwen2.5-VL Technical Report

Reference 2025

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source=pdf_text observed=2026-08-04T01:00:11.079442Z digest=sha256:db443c4b3e0c7e28c9a6a1c3485dd1e044d603467187b673a1fa3d316e8b3cd3

Observation 234e3bd4-0de4-4002-a5d1-9a3bc0c4df42 · outbound

This paper cites Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation.

Attention-Steered Vision-Language Models for Sign Language Translation Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation

Reference 2026

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Pith citing papers

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