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Paper Citation Record · LEDGER

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 8 inbound Pith citation observations for arXiv:2505.20199.

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

pith.paper-citation-record.v1
2505.20199 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:51.531187Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:50.550124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:57.809059Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c88e4405-c1a5-4475-9130-beac196e6031 · outbound

This paper cites Mc-llava: Multi-concept personalized vision-language model.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Mc-llava: Multi-concept personalized vision-language model

Reference 1

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source=pdf_text observed=2026-08-07T14:01:48.511872Z digest=sha256:5304f549b0297f0d94f51813f2729c1faf61324e8c56ab2c37ff48ae9382e1d2

Observation adb8de32-b1ee-4da1-b231-8f23996aa4c3 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in Neural Information Processing Systems, 34:17981–17993, 2021.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Structured denoising diffusion models in discrete state-spaces.Advances in Neural Information Processing Systems, 34:17981–17993, 2021

Reference 2

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source=pdf_text observed=2026-08-07T14:01:48.570060Z digest=sha256:c6e687c188ed643b261d32dede53afdf5539406c721e31062b31e86492e734e7

Observation 6c711e3a-171c-41f4-8071-4e7c9703e028 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 3

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source=pdf_text observed=2026-08-07T14:01:48.656960Z digest=sha256:492699b48e7359685c80097fbf12a956961796bcd99fcdaf3d875cdbe826cd35

Observation 2d417dcc-d24f-4905-8a0c-58a0bc361646 · outbound

This paper cites Piqa: Reasoning about phys- ical commonsense in natural language.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Piqa: Reasoning about phys- ical commonsense in natural language

Reference 4

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raw_fallback, observed 2026-08-07T14:01:52.962943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:48.698263Z digest=sha256:a715c8a78561d4c216f15da78078500b1152474dfd4e39908eadcd6b0c27c7bd

Observation 70ea18d0-010a-4e23-b3c8-685bb7bd7996 · outbound

This paper cites Language Models are Few-Shot Learners.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Language Models are Few-Shot Learners

Reference 5

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source=pdf_text observed=2026-08-07T14:01:48.742187Z digest=sha256:660133fd06a951ad81515e69b64a9a29f92a7db8e9510abe9e2f08d707a7c725

Observation 28c06710-15ba-4595-9776-212bb645ba8a · outbound

This paper cites Qwen2-Audio Technical Report.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Qwen2-Audio Technical Report

Reference 6

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source=pdf_text observed=2026-08-07T14:01:48.789663Z digest=sha256:b4ae735b2381e859c3cfc59ff78393b5b4264de00901a51913d7afdb3e995eb6

Observation 1898e520-d12b-4f6a-b639-78b52d527bc8 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

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source=pdf_text observed=2026-08-07T14:01:48.834538Z digest=sha256:42be23a9fdadfbd0625a84fa1f657fccccdd4cc87387696d6687b19b64c98de9

Observation 7987d214-24fa-48cc-b137-5a57a5c3765f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Training Verifiers to Solve Math Word Problems

Reference 8

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source=pdf_text observed=2026-08-07T14:01:48.919867Z digest=sha256:346b15fb841a8f28d6760c7e03a95143942158726ca9366b9e28ebda2ec8acd9

Observation e36212fd-5f99-437c-8370-7d7eaa318439 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Diffusion models beat gans on image synthesis

Reference 9

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source=pdf_text observed=2026-08-07T14:01:48.985954Z digest=sha256:43e7f80b9b95ad8f5658cdf5f75e9ac89d529e38e24887d80540f1bf481f4c44

Observation 3e2aa6d7-ad04-4180-b363-38dd18886222 · outbound

This paper cites InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation

Reference 10

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source=pdf_text observed=2026-08-07T14:01:49.041500Z digest=sha256:6458934bd86b2f4c196a79315eba9dbee437a23c9854c05f2e839df664505783

Observation f57c52a3-bcf0-4666-adb7-7b9ca3c237f5 · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 11

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source=pdf_text observed=2026-08-07T14:01:49.114110Z digest=sha256:54a760738309dd0ce008258558448f666fa609880911fa017445f5bdd63662f7

Observation bdc57c43-8cbb-4038-809e-562e70b82284 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Measuring Massive Multitask Language Understanding

Reference 12

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source=pdf_text observed=2026-08-07T14:01:49.172689Z digest=sha256:9aa574d9b11c6d6deda19b53f682091632a3c9c0d9eea5462ab4f9968c154e43

Observation 54fb0d5d-4cb9-4642-b2ba-60b4484dc8f5 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

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source=pdf_text observed=2026-08-07T14:01:49.266384Z digest=sha256:840d8cbfdac472c9b37e2c0c4bd5290b2018e6a10deb6f9f463ab457920abece

Observation 45b3904f-a44d-46a1-9f6d-4e4dc4ba9c6f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Classifier-Free Diffusion Guidance

Reference 14

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source=pdf_text observed=2026-08-07T14:01:49.316138Z digest=sha256:3d459f32af2b5a218cb36fa0e70e3246f0c47d78674fb35ab2880de4623ce99e

Observation 0924a6f9-6d54-4a8a-b08f-abb53c564eb3 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 15

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source=pdf_text observed=2026-08-07T14:01:49.406493Z digest=sha256:94161b95ea3f7bfae5fa76cc473b090b2e4c9c2a55e8926cfcda62ece5da5663

Observation 842e876f-1bd5-4b88-bc65-c55aba5f5503 · outbound

This paper cites WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Reference 16

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source=pdf_text observed=2026-08-07T14:01:49.477482Z digest=sha256:f7eae278c6facece3f6e8d03201fed17dd49fa89f4a07cd27a1b7de0719b70c3

Observation 0f670645-5e70-498e-9146-f62a2ba183aa · outbound

This paper cites Onetracker: Unifying visual object tracking with foundation models and efficient tuning.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Onetracker: Unifying visual object tracking with foundation models and efficient tuning

Reference 17

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raw_fallback, observed 2026-08-07T14:01:52.764403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:49.518746Z digest=sha256:ef1a2f28b9b91805101bcc22a66bc02cbc71f3d766758d696931f9c88a6551bc

Observation 586dc4b6-e0bf-40c9-bc10-d2a455273fe8 · outbound

This paper cites Mistral 7B.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Mistral 7B

Reference 18

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source=pdf_text observed=2026-08-07T14:01:49.614459Z digest=sha256:5cc6ed445d062b975070012ff8123a7a72b404d519e0c2b32718b9ebd3169c6c

Observation 85b8d8c4-3fe4-41c9-9e42-73443006e4ee · outbound

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

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking LLaVA-OneVision: Easy Visual Task Transfer

Reference 19

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source=pdf_text observed=2026-08-07T14:01:49.682060Z digest=sha256:6a028d0277f5c7250814f44fdf85194a23c72b1dffe9e80415b9a583ddf7a2fa

Observation a087b690-aff2-4963-85ee-3e10387e1bf0 · outbound

This paper cites Diffusion-lm improves controllable text generation.Advances in Neural Information Processing Systems, 35:4328–4343, 2022.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Diffusion-lm improves controllable text generation.Advances in Neural Information Processing Systems, 35:4328–4343, 2022

Reference 20

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raw_fallback, observed 2026-08-07T14:01:52.626308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:49.736512Z digest=sha256:deda72e8e3070cda5681fb54d0d64babc6a6142847e174216a393206abbf57a4

Observation d3679440-dbc2-4385-ae6b-e0f769367991 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 21

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source=pdf_text observed=2026-08-07T14:01:49.806421Z digest=sha256:edec3b408e9eb63ffa3a26e426c8ca946fb033685ad74ff3bd94e3817fffc1f5

Observation 3f354050-f7e7-4858-9705-1ebfff37fe27 · outbound

This paper cites Draw-and-understand: Leveraging visual prompts to enable MLLMs to comprehend what you want.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Draw-and-understand: Leveraging visual prompts to enable MLLMs to comprehend what you want

Reference 22

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raw_fallback, observed 2026-08-07T14:01:52.511466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:49.882947Z digest=sha256:79b19729251a4a387f40c2afdc80106b1f18fd3302f937d8be0dc73e724f694c

Observation 4e084b31-5a22-40e6-9e10-d89938c64ef1 · outbound

This paper cites Diffusion Guided Language Modeling.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Diffusion Guided Language Modeling

Reference 23

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source=pdf_text observed=2026-08-07T14:01:49.943705Z digest=sha256:0c9320eb49836cab3d045f4b9e6f07c2ac67a0a35e017f6afd479419f9d959d6

Observation 3294a5e3-16a9-4242-8d3b-63e808f28ae4 · outbound

This paper cites EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 24

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source=pdf_text observed=2026-08-07T14:01:50.004612Z digest=sha256:fbb1d3e65aa45b1ef3d5d335137bafb7014dd47dc00038405015305cb5ad345d

Observation 3db6f4da-c7b1-4525-a970-9c923d4ec814 · outbound

This paper cites Scaling up Masked Diffusion Models on Text.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Scaling up Masked Diffusion Models on Text

Reference 25

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source=pdf_text observed=2026-08-07T14:01:50.051182Z digest=sha256:a13202a323e02f49468c3723d6ec9c334291c984ef4bfcb377953931c80246d0

Observation 75abdaee-89af-42be-9eb6-ccc4cfcd01b5 · outbound

This paper cites Large Language Diffusion Models.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Large Language Diffusion Models

Reference 26

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source=pdf_text observed=2026-08-07T14:01:50.127508Z digest=sha256:ce314a8aaf8894ec578c110a73a5997bd02529e9f37ccdc8f62da8c5e890f829

Observation a5bdba71-ee96-4281-843d-c9a865f03715 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 27

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source=pdf_text observed=2026-08-07T14:01:50.190560Z digest=sha256:56b2474453377fe3ffa11ca0be783c6fedb0f1ce98a9327c9dbf15679895cfcb

Observation 7b1c1a42-e288-4954-8555-1c8988de3c2f · outbound

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

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 28

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source=pdf_text observed=2026-08-07T14:01:50.256800Z digest=sha256:2520a950e729aed8714116756112d9141a034e8c8cbbd6c1ea3b77f283638d23

Observation c00936d8-35b6-40a8-93c3-df05109d41d0 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking High- resolution image synthesis with latent diffusion models

Reference 29

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source=pdf_text observed=2026-08-07T14:01:50.335456Z digest=sha256:a7b602888f545df4735c0997301e2a793023f47bbbdcef8e94a411a239cb12cb

Observation ca845ee7-240f-46c5-9962-935a807488eb · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Simple and Effective Masked Diffusion Language Models

Reference 30

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source=pdf_text observed=2026-08-07T14:01:50.400262Z digest=sha256:8d100c5924de6ef5323120ccf559868cac90c276895983189425f5809dc3dbe6

Observation 9ef0d40e-9859-49b0-8699-821d1571346d · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021

Reference 31

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source=pdf_text observed=2026-08-07T14:01:50.484702Z digest=sha256:0e7aae57fe8aedf343ff0ecd75e50042e881edb45f3891e0e681938e607cf12e

Observation a8d5c5a0-cbb6-4b18-9371-fb17b54455da · outbound

This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Simplified and Generalized Masked Diffusion for Discrete Data

Reference 32

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source=pdf_text observed=2026-08-07T14:01:50.570998Z digest=sha256:bfa0ad3b12d46f5ad358667ab8b76a784920fbaa16c96d53e75e50884d126b3b

Observation 0b3b38c3-5f0c-4666-ae81-e5e15d801bd5 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 33

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source=pdf_text observed=2026-08-07T14:01:50.654748Z digest=sha256:417970909e0db721a121c13d18b56bfcf282d6747c726d9a266e5499db63d43e

Observation 5d79ee8a-0610-4a7d-b2e6-4fac78f3c678 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 34

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source=pdf_text observed=2026-08-07T14:01:50.727291Z digest=sha256:e4394a4862a3cf2331e893d33fd282685e8d468eff0abf2dd2098ca352c838a2

Observation 517fbbd5-0aa4-4665-b31d-05e4a5834a4f · outbound

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

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking LLaMA: Open and Efficient Foundation Language Models

Reference 35

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source=pdf_text observed=2026-08-07T14:01:50.817163Z digest=sha256:8401690a596962ff8e6deb71826e3824c06d038ee92397031a16c0b84821cfb9

Observation 2459b9dc-9ff3-4a76-babf-f4ff967a292d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

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source=pdf_text observed=2026-08-07T14:01:50.906767Z digest=sha256:006a41740244bbe5a7d9fffb22f716e459628e24ac54752c7639b3093628a98f

Observation d20de693-5f1a-4804-96db-b5ecec9c7cf0 · outbound

This paper cites DynaPrompt: Dynamic Test-Time Prompt Tuning.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking DynaPrompt: Dynamic Test-Time Prompt Tuning

Reference 37

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no resolver link, observed 2026-08-07T14:01:51.028320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:51.028320Z digest=sha256:4452deeac5c3b4fa892df72005f22bf7a3105fa4fd2aaec3c187f60acc4a7704

Observation e10210cc-e5a5-4fef-8d85-ad5887470057 · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking A Sanity Check for AI-generated Image Detection

Reference 38

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no resolver link, observed 2026-08-07T14:01:51.097718Z

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source=pdf_text observed=2026-08-07T14:01:51.097718Z digest=sha256:d7f62702215169f64faf12f665fed48242783bf8700980a377629269dd4956aa

Observation 4adccb40-9494-4552-8bfa-4081131f44e1 · outbound

This paper cites Panovos: Bridging non-panoramic and panoramic views with transformer for video segmentation.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Panovos: Bridging non-panoramic and panoramic views with transformer for video segmentation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.340487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:51.162971Z digest=sha256:0f5ecaa76c9dc2c9e5db9195c184342e901b43599c616a8d2f691ccac6d665b5

Observation fa3e95d8-774b-4949-805b-b37b9258045f · outbound

This paper cites Referred by multi-modality: A unified temporal transformer for video object segmentation.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Referred by multi-modality: A unified temporal transformer for video object segmentation

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.243198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:51.214015Z digest=sha256:1d5c348dbc2933c3e955032a203dffa64958936b7a6a79f53a0302559c8177a8

Observation 560caf48-9395-40b8-95d6-3f9797000f7a · outbound

This paper cites Crosslmm: Decoupling long video sequences from lmms via dual cross-attention mechanisms.arXiv preprint arXiv:2505.17020, 2025.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Crosslmm: Decoupling long video sequences from lmms via dual cross-attention mechanisms.arXiv preprint arXiv:2505.17020, 2025

Reference 41

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no resolver link, observed 2026-08-07T14:01:51.295934Z

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source=pdf_text observed=2026-08-07T14:01:51.295934Z digest=sha256:6d81a7f500dd530463e9f772743751d91e80274be16a959949a5a39c0ddf2444

Observation 4aabd527-2a11-4cac-bfbb-9034ec3c56b2 · outbound

This paper cites Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

Reference 42

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no resolver link, observed 2026-08-07T14:01:51.388338Z

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source=pdf_text observed=2026-08-07T14:01:51.388338Z digest=sha256:2f51ce4b4c080736a6872b2513c3bbb34f1ba76795ce349182a82f79584eb0bc

Observation 3daa7694-1120-4cc5-9b87-ccc03ac2f6f1 · outbound

This paper cites Dream 7b, 2025.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Dream 7b, 2025

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.127689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:01:51.470010Z digest=sha256:caefd20488b8451cbeafc4142e3630452ef56de807056dc0b6de41237640a8ae

Observation 527e2970-14fe-44ba-b605-48263169085a · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 44

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no resolver link, observed 2026-08-07T14:01:51.531187Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:01:51.531187Z digest=sha256:c018de12646886e025b84dfc628ef4a5a643795b040216bcf172b6ecdfa02ebd

Pith citing papers

Observation 2a956cf1-ae25-4766-b8ad-c7bd48c1d1f9 · inbound

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning cites this paper.

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 39

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no resolver link, observed 2026-08-07T10:28:50.550124Z

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source=pdf_text observed=2026-08-07T10:28:50.550124Z digest=sha256:9a805bd3cfb8791ab57f0ed4088afe98bba578abb03862ab401f465e4201d7c0

Observation c9ef1d61-325d-42ea-9cdf-a47655720c0d · inbound

Undress to Redress: A Training-Free Framework for Virtual Try-On cites this paper.

Undress to Redress: A Training-Free Framework for Virtual Try-On Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 33

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unresolved
no resolver link, observed 2026-08-05T22:04:33.653346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:04:33.653346Z digest=sha256:c73b18122757d9c63b4d25eb6f8e091676de4291332dc9c2dd2f9ba25745f2fe

Observation 4cfa6e64-c405-405d-9a6c-5821823bd3d7 · inbound

Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality cites this paper.

Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 28

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unresolved
no resolver link, observed 2026-08-05T21:04:46.931475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:04:46.931475Z digest=sha256:58f0cf7457c967538e3719f11641776acca20960291aa555b160e9e3555caef7

Observation 09e28517-62cc-4f7d-bf69-cddcbb1f1cc5 · inbound

A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 87

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no resolver link, observed 2026-08-05T20:15:20.429225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:15:20.429225Z digest=sha256:d4618e80f4541d4915d2495c03db6be4448ce70760d0bfc2b512e0c501e118c4

Observation ab2684e8-e9f1-441e-a297-2f8c27aa353b · inbound

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance cites this paper.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 23

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unresolved
no resolver link, observed 2026-08-04T14:43:13.484748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:43:13.484748Z digest=sha256:c808601c35dcd88a47d83705a491e5110bc7fec95dbd2a34918412f9e1f7edf8

Observation 4595b529-7ded-4409-a460-a455aad89d89 · inbound

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast cites this paper.

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 17

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verified exact
arxiv_id, observed 2026-05-11T16:46:23.314797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T14:59:49.792976Z digest=sha256:b7b82d9018214dedc2c572f8724735d280ba7c1270810b3cb8abac37c30b324a

Observation 97a80095-3543-4597-9c44-c85d8c2aea37 · inbound

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models cites this paper.

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 21

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verified exact
arxiv_id, observed 2026-07-03T11:28:04.379513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T09:34:02.484344Z digest=sha256:58efea904bba84d134f8bd98709fbc8886d59ad18b5144f2cb22194ae4f857ae

Observation 78aed72a-3be6-465d-bb2e-2d3239ccbbb4 · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 21

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verified exact
arxiv_id, observed 2026-07-03T20:18:57.812047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T01:23:40.564561Z digest=sha256:93332049908e94f151c3b0a717edb6736d0bd38c4ab2b0b07d0794f1212714f8