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Paper Citation Record · LEDGER

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs

As of 18 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2607.11228.

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

pith.paper-citation-record.v1
2607.11228 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:09:46.933171Z

measured 64 of 64 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T14:24:27.679295Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

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Outbound references

Observation aaa896d5-4085-4add-b585-b9a16e9161e5 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Vision-language models for vision tasks: A survey,

Reference 1

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Observation 0370a6d4-795e-429d-96ea-f5118689a13e · outbound

This paper cites GPT-4o System Card.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs GPT-4o System Card

Reference 2

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Observation e3d30110-7da1-4a43-b858-a7f8164e8afa · outbound

This paper cites ShowUI: One vision-language-action model for GUI visual agent,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs ShowUI: One vision-language-action model for GUI visual agent,

Reference 3

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Observation 2a8ebd2d-94b9-4503-bd1c-b0ccedc989b7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Proximal Policy Optimization Algorithms

Reference 4

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Observation d67bf5aa-0bf1-42fe-8acc-bd9c74de2707 · outbound

This paper cites Defying distractions in multimodal tasks: A novel benchmark for large vision-language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Defying distractions in multimodal tasks: A novel benchmark for large vision-language models,

Reference 5

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Observation f7108e7c-3528-4c95-8cba-82e57b7dbd5f · outbound

This paper cites Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,

Reference 6

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Observation 8467f89b-4499-4d2a-b373-6986280ab09a · outbound

This paper cites Visogender: A dataset for benchmarking gender bias in image-text pronoun resolution,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Visogender: A dataset for benchmarking gender bias in image-text pronoun resolution,

Reference 8

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Observation cffea4ea-91cd-4646-aed7-6eb36524c4e1 · outbound

This paper cites Counterfactually measuring and eliminating social bias in vision-language pre-training models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Counterfactually measuring and eliminating social bias in vision-language pre-training models,

Reference 9

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:94251234d67001cefc9a0f214964d9b2e96cc87e1c0a8cc43b04b18b62607c95

Observation 9d26c861-cc0d-476f-9f01-f64329f7e78f · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 10

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Observation 95b93374-9034-4f90-be31-206b80169870 · outbound

This paper cites Gemini 3 pro model card,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Gemini 3 pro model card,

Reference 11

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Observation 51720b04-021c-4f33-8548-3e9d56b25cf7 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Direct preference optimization: Your language model is secretly a reward model,

Reference 12

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Observation 121546f6-0cc6-43f3-aa0c-66a6abf067ef · outbound

This paper cites Man is to computer programmer as woman is to homemaker? debiasing word embeddings,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Man is to computer programmer as woman is to homemaker? debiasing word embeddings,

Reference 13

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Observation 7a99bcc2-dd7c-452f-98df-e96d7e4be52e · outbound

This paper cites Semantics derived au- tomatically from language corpora contain human-like biases,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Semantics derived au- tomatically from language corpora contain human-like biases,

Reference 14

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Observation f5d8d80c-3b73-4fff-9d34-c6d909c334a0 · outbound

This paper cites Crows-pairs: A challenge dataset for measuring social biases in masked language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Crows-pairs: A challenge dataset for measuring social biases in masked language models,

Reference 15

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Observation 8c8c41c4-a0fe-462c-ba56-65e1a1842656 · outbound

This paper cites Stereoset: Measuring stereo- typical bias in pretrained language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Stereoset: Measuring stereo- typical bias in pretrained language models,

Reference 16

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Observation eac7f7ab-ee3f-4544-97ac-9f3079d2a1c8 · outbound

This paper cites Bbq: A hand-built bias benchmark for question answering,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Bbq: A hand-built bias benchmark for question answering,

Reference 17

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Observation 09135223-0d94-4976-b809-de67734222f4 · outbound

This paper cites Genderbias-vl: Benchmarking gender bias in vision language JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 11 models via counterfactual probing,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Genderbias-vl: Benchmarking gender bias in vision language JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 11 models via counterfactual probing,

Reference 18

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Observation 81e0af0a-e9c6-49e7-9394-5f94eb9162ed · outbound

This paper cites Vignette: Socially grounded bias evaluation for vision-language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Vignette: Socially grounded bias evaluation for vision-language models,

Reference 19

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Observation d0443e52-1c5e-419d-ad75-4cbcc114c672 · outbound

This paper cites Vlbiasbench: A comprehensive benchmark for evaluating bias in large vision-language model,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Vlbiasbench: A comprehensive benchmark for evaluating bias in large vision-language model,

Reference 20

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Observation 945b361c-88a6-4f63-8f17-280f0e105b66 · outbound

This paper cites SB- Bench: Stereotype bias benchmark for large multimodal models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs SB- Bench: Stereotype bias benchmark for large multimodal models,

Reference 21

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Observation 34e0034a-5738-4394-969c-92a907590a1a · outbound

This paper cites Nlp evaluation in trouble: On the need to measure llm data contamination for each benchmark,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Nlp evaluation in trouble: On the need to measure llm data contamination for each benchmark,

Reference 22

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Observation a7d107fb-580f-4b67-95fa-71dca6abe369 · outbound

This paper cites Dynabench: Rethinking bench- marking in nlp,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Dynabench: Rethinking bench- marking in nlp,

Reference 23

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Observation f7973aaf-c614-40e5-8bbf-ffddebeecbab · outbound

This paper cites Robust visual question answering: Datasets, methods, and future challenges,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Robust visual question answering: Datasets, methods, and future challenges,

Reference 24

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Observation 0d0d07d9-acff-4ecf-8db7-b950bd8e2857 · outbound

This paper cites Red teaming language models with language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Red teaming language models with language models,

Reference 25

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Observation 1f623121-ba1c-420f-bc3a-1808e5a3110b · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 26

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Observation b6374088-dd37-4a10-9b91-b9ab648d076e · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 27

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Observation 4feffe79-de21-4d36-9afd-7325d6067bd2 · outbound

This paper cites Automatically auditing large language models via discrete optimization,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Automatically auditing large language models via discrete optimization,

Reference 28

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Observation 32433c8f-ee1a-4fbb-808a-d0f14c486bce · outbound

This paper cites Figstep: Jailbreaking large vision-language models via typographic visual prompts,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Figstep: Jailbreaking large vision-language models via typographic visual prompts,

Reference 29

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Observation 28df8a8c-e9c4-47d3-a7fe-de824eca5015 · outbound

This paper cites Jailbreaking Attack against Multimodal Large Language Model.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Jailbreaking Attack against Multimodal Large Language Model

Reference 30

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Observation e74046af-49bf-4f5b-852d-09ea2fdde198 · outbound

This paper cites Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models,

Reference 31

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Observation 6ba95883-0266-452c-9632-5b7bc9b46113 · outbound

This paper cites Red-teaming the multimodal reasoning: Jailbreaking vision-language models via cross- modal entanglement attacks,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Red-teaming the multimodal reasoning: Jailbreaking vision-language models via cross- modal entanglement attacks,

Reference 32

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Observation c773bf16-e5bd-494c-bee1-c5457721c8da · outbound

This paper cites Semantic-aligned adversarial evolution triangle for high- transferability vision-language attack,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Semantic-aligned adversarial evolution triangle for high- transferability vision-language attack,

Reference 33

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Observation 9f503c05-bcc8-43fc-a1e6-a9db2dfe0384 · outbound

This paper cites Jailbreaking black box large language models in twenty queries,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Jailbreaking black box large language models in twenty queries,

Reference 34

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Observation 130085cf-791e-4f99-8200-36866b695cd9 · outbound

This paper cites Tree of attacks: Jailbreaking black-box llms automatically,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Tree of attacks: Jailbreaking black-box llms automatically,

Reference 35

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Observation 72ff5e74-1d9f-453f-867c-0f57abdfed02 · outbound

This paper cites Autodan: Generating stealthy jailbreak prompts on aligned large language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Autodan: Generating stealthy jailbreak prompts on aligned large language models,

Reference 36

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Observation d77e0ab6-acbf-47bc-849e-584d45404073 · outbound

This paper cites Treeteaming: Autonomous red-teaming of vision-language models via hierarchical strategy exploration,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Treeteaming: Autonomous red-teaming of vision-language models via hierarchical strategy exploration,

Reference 37

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:7729feed729687623549ae69270d11f0704f4021a7785072b6bfd79ce130e0e9

Observation 5539d0fe-8e18-42b0-9c33-20733c8e2da2 · outbound

This paper cites ARMs: Adaptive red-teaming agent against multimodal models with plug-and-play attacks,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs ARMs: Adaptive red-teaming agent against multimodal models with plug-and-play attacks,

Reference 38

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Observation d69426c1-14cb-4eb9-bfc8-27e268cffb13 · outbound

This paper cites ProbeLLM: Automating Principled Diagnosis of LLM Failures.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs ProbeLLM: Automating Principled Diagnosis of LLM Failures

Reference 39

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Observation 196edb01-756f-4415-92f3-f948d350cb30 · outbound

This paper cites RedHit: Adaptive red-teaming of large language models via search, reasoning, and pref- erence optimization,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs RedHit: Adaptive red-teaming of large language models via search, reasoning, and pref- erence optimization,

Reference 40

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Observation 4aab50af-ddfa-422c-b05f-7df38e001a54 · outbound

This paper cites Training language models to follow instructions with human feedback,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Training language models to follow instructions with human feedback,

Reference 41

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Observation dff08923-36e5-486a-ac28-077b6ec39833 · outbound

This paper cites Self-instruct: Aligning language models with self- generated instructions,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Self-instruct: Aligning language models with self- generated instructions,

Reference 42

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Observation 038e91f2-bd03-4234-b90e-3a9cdeac3a4d · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs WizardLM: Empowering large pre-trained language models to follow complex instructions,

Reference 43

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Observation be6e5875-72f5-48ee-b4e1-3f8dd21fcfb8 · outbound

This paper cites Self-Rewarding Language Models.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Self-Rewarding Language Models

Reference 44

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Observation f4b951c9-af13-43cf-8d42-2964cbd7f89a · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Sdxl: Improving latent diffusion models for high-resolution image synthesis,

Reference 45

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:a94e362e5ca6ca54db2c2abefeb0159a35967ab37fd2b40e4f3bd206fa1cbec2

Observation e244d014-ad92-4be1-96e5-2bcc5a8831b1 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs LoRA: Low-rank adaptation of large language models,

Reference 46

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Observation c3ce597e-9e54-464d-a440-ceb101235150 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 47

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Observation 75a6b37d-7414-4479-aa9f-fb6fe076dab8 · outbound

This paper cites Qwen2.5-VL Technical Report.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Qwen2.5-VL Technical Report

Reference 48

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:f7db8f3deb61c7d7fd45f01c0e0dfd5218901555ff93587b0614d4d824639acc

Observation 4ef0e3fa-e9c9-4a3c-ab52-41a42aa9b8f7 · outbound

This paper cites Gemma 3 Technical Report.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Gemma 3 Technical Report

Reference 49

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:70c6d31d1b6fcd8d6b7a4621f6aafe64cf1f2d1ce608d985641f3a76ad04afce

Observation 39834ee2-a0cc-4c6e-b846-fdc425541b4b · outbound

This paper cites Qwen3 Technical Report.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Qwen3 Technical Report

Reference 50

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:b06f3d352be4a25bd1bfb0a2bc7c593c9693fa193d5d8138b2ebbe4348b040e5

Observation 2b692c2c-8718-46d7-917c-65e237f4f5ce · outbound

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

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 51

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:166fdf3869c78c0be144ee766b65a3d2c5bd9f78e5ba18389f80c7f8243bb9bd

Observation e003e222-dc61-4dec-b028-c93c9211a2fd · outbound

This paper cites Qwen3-VL Technical Report.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Qwen3-VL Technical Report

Reference 52

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Observation 3484d2a6-5ed6-4356-94fd-da4f09170131 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 53

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Observation c4733237-168d-4bf2-a3e3-91b96eb5cce5 · outbound

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

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs LLaVA-OneVision: Easy Visual Task Transfer

Reference 54

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Observation b55dadca-97ce-4d11-a517-ebf2f6ce4494 · outbound

This paper cites Are we done with mmlu?.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Are we done with mmlu?

Reference 55

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Observation 41678e18-76bb-4c09-9f6b-af3a51d4ac27 · outbound

This paper cites Introducing GPT-5.5,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Introducing GPT-5.5,

Reference 56

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:cf22238ae55fbe14d3b65f1689e27ebd3e78e8a6a1e473d32bd38517e5daf399

Observation 049c9861-d015-456c-8337-caafd0c691b3 · outbound

This paper cites The Claude family of models,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs The Claude family of models,

Reference 57

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:6b9a35cb017ae75d79a9d859e690e3cece3338e9d36d3b279586e441f18d0b79

Observation fe913dfa-0475-4bde-a556-da7f840fdc6b · outbound

This paper cites Gemini 3 flash model card,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Gemini 3 flash model card,

Reference 58

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:0fbf3edddb4d4761d6b11033741e489ba014c8384da4eae288686da82a135a22

Observation ec5c27d7-8650-4001-a64a-50232c1c6f1f · outbound

This paper cites Gemini 2.5 Flash Model Card,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Gemini 2.5 Flash Model Card,

Reference 59

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:90c7c78a75ce1352b0603c0b6bd9ad1686a5d99c560435e4616ce8f8cd198821

Observation cdc7909b-c561-429c-9651-2db06b3aa0da · outbound

This paper cites Glm-4.1 v-thinking: Towards versatile multimodal reasoning with scalable reinforcement learning,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Glm-4.1 v-thinking: Towards versatile multimodal reasoning with scalable reinforcement learning,

Reference 60

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Observation 9c9c2ca0-adf2-4382-8f93-c86e9a39a3e7 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 61

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Observation 8350dde7-f38d-4620-8b21-a395c90cb9d6 · outbound

This paper cites Pixtral 12B.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Pixtral 12B

Reference 62

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:fc3e1b54a010005c6541d5b117d330f5b55f3955acd06d1711f74aa5a00f8474

Observation f4ef928c-ddb4-4850-b9f9-29a4f86c57f0 · outbound

This paper cites Visual instruction tuning,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Visual instruction tuning,

Reference 63

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source=pdf_text observed=2026-07-14T06:09:46.933171Z digest=sha256:24ef65d2afb32ec0f6dad3166aee38c23dc3a5d911cc276c4abffb30a5e40a4c

Observation b60fe5b0-542c-4b3c-84ff-061458e9326b · outbound

This paper cites Visionllama: A unified llama backbone for vision tasks,.

DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs Visionllama: A unified llama backbone for vision tasks,

Reference 64

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Pith citing papers

Observation 995dc5cf-08b9-4576-95a7-1737e4d235e2 · inbound

Zing: Social Mind for LLMs cites this paper.

Zing: Social Mind for LLMs DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs

Reference 34

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source=pdf_text observed=2026-07-30T14:24:27.679295Z digest=sha256:2e2c114341dbd22a3e71c04b0cf6081733b1a368981237f77e8dd22eaf821d51