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Paper Citation Record · LEDGER

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

As of 8 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 2026-08-08T06:32:00.761636+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:dea0e07e46578e68488fa1e150cec72da379aec5eca10175dfce91716be84ef1

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:de6b51440a5684bb6ecfd71a7be5a53d5421d91c449a0d1e9fa2036ad2f84eca

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=sha256:9c01957f30344e31044654c1b03b8a3c8b8c2b85647af21da0e1a248ecf2f46e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:48.698263Z digest=sha256:ce79f7d3e2fb8b38cdcc43c001412d9e1df73e33229e9aabf2b07863a03bde69

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:f88a81228b2f467ace530171fed3a4cad350ac13e44307138c079570eb4a23a3

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=sha256:28b6f1444eb6e517af04a0cd083a39f411551ca80b824087bf6dc459437849d8

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:f46487b9215edc398300a75e3b5af0e51829e2a589f94b9bbeb869b985a19d23

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=sha256:9f8ee7b8b2220c7da318c28a054f92793a7a662d0469049805270294479d39e6

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=sha256:29f37671f05097ff02f438a45a64274af62350f000ab2f0b8336a503e55bfbea

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:b56f58011b55e1354b02cc8cd21fbd276891aeba499934fae2a0f1a3ccdb0138

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=sha256:696ddaf0d99476761537fe0f0f92f1a1280cf9675ba5a35923e76b698f852470

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=sha256:1d4b8f8820a7d80751edc318030d34e481581342bd4b74610c9f5dc305798d03

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=sha256:5bf0721d7060ffc1c0b81c2f1de3022552852de22df6804fdfa8774804e2449e

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=sha256:0f2a8aa81f17cb3bb2abf58285f0827db81de7b1bbbb0fed316d0c61ec4dd6f6

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=sha256:476ad5571d280d55563baf2d2dad464a32d0dabf8aa8e0526968daab6737a867

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=sha256:6646a67887e72c0f1cdf5a7293fa5e8f5857fcc7b57693c480e245886a03c575

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:49.518746Z digest=sha256:47ab25eb360f561c5aa3bb3324dc390cc08c42aa34061dd11cfb794ca638e616

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=sha256:974354f430bd1645995146cc02f3e3a8325499cf3ff1d300b7b590da4c5cb7e7

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:cb551c72d16ab451212bcab30bc6c0678e823c24ceaf41e4aea9bf1ec496e22a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:49.736512Z digest=sha256:ba5723debd614fa0060ee7ab98194772ccf91d38f47e41ffa9ef4160930a37ac

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=sha256:5b7ead3b126ef91d0ffe8321f9d195cbd0b47b5f41dbfaa56d8683f19fa06b57

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:49.882947Z digest=sha256:134594b5f7854e90521cb8d9a5bfdbac13bd75cfd43951e80f046c2ab86b8b88

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:d2be0f4f6ee1c383bd14c6316272f6badeec5f52b296d733f22a80ec66371de3

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=sha256:8acd153251806bfaa2aa237c59bac362fab9579311d29fef60d92397ac57b0ab

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=sha256:892b0f183398fa5f8df31e4ea3a3fa3cb4914674ca8c1f028f372250e79dae90

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:bd6e03d9c44055eb01b9dfc8ad81bc44484f529030018a21be8854e1f7dc7c87

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=sha256:00fe6928af0ef8dfb189a09ba50eaee3d8aa34f89e337a862c8d77052b80daaf

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:a8afdee16d11af362401c63804a671ea3e8688fb781b46eeb66bf9231cf46c3e

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=sha256:5eef7ee27dd3ac4aa111d236197db4d3b8f9b93060eb8ad9a5b4f0b4d331fc14

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=sha256:1b1661a1e246ad7851e567292b8893cb49511217b5f6f7dda9f60d850d1d4e25

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=sha256:253a4e467cc085f916db366315853ef7d52b045712d221dd47e606705f121ad6

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:cb31b33f3054c58d4d08ef3143f552f8267e5207e9e426bb8f5b88883275a6de

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=sha256:1b90c9640ed95684ca439b93efa54b88ca8ee352dab3c593a94d18af2a84cbd5

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:d6df175a06ef022e4b846825867344a88b5c2e1d83d6d77138315fa58201e98e

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=sha256:13dcb8e091830bbb88ffa78c6acff34b6c61e74876cb8142a62e771502ad382f

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=sha256:7ec30ca10b87406a640d5c8ff60fb8c2b282cec034af1b1bf870de61c4a6dfc9

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=sha256:0e32595c4f37e07184cfab233452c799b105341e160a89db069dd6d6817704fa

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=sha256:3526a0fa26334d15618bc9560231bb6b9f85d9bf3fa8b468e24c0774e62ed641

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:51.162971Z digest=sha256:c3169643ae69f90bd243c70b020ec1903e1311d22cdf0f340a780cde800895b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:51.214015Z digest=sha256:b080c12fd93e06992ca041a7987eda5c6e1d2906f34b0f2d2250e4d772001949

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=sha256:0298fe5a851b041375df1eb095029beafbb90a2c46a2faaff8ec8576b0867784

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=sha256:11c4f78de8d9ceee092f959d623fa4acb303f4e89b954255acfa3fae395f8866

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:01:51.470010Z digest=sha256:dc87ae9e4a672b7c18f4e5e1ea3f1968fbd26dd0bcd5d64aa98be2da65f0df63

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=sha256:13cbc913cf3a4f8ec4a688233bb933ab8be071b9f118aac82e795fee3ae48515

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:50.550124Z digest=sha256:9131c048d97b2d9b108642e50dd8ce4fbdc6f2662c4270d1e495cbc0caf91931

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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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:a671762e4b6bfd841d9df734138b5aa18a1e936460afee7f9211e47a9c615fd4

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=sha256:96f4802315d7d87fa2f02ec197063d992d93cde8651e4583d37e94167b3cda46

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:bff79ca92c208de632017fb0226a5f5bbab8d86f06ae696fa4014490487f3ea2

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:ef034b449b61cc4fbcf7792a561ea99d6c2bd1393dd55fbf7d37b8785396f469

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T14:59:49.792976Z digest=sha256:14be6f1e72419e7568fc4a970652006e4737a339bc04fb0c6a7e7df7c65f3509

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T09:34:02.484344Z digest=sha256:29f3d89b98c2368bb5292f497daea1a2edbcb4b596ca59bb4ffeb5f03b013993

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T01:23:40.564561Z digest=sha256:ac41ea3f3d04a42368ffd06b96fa2dc5f70804e0f0f1789a31c394e48738bf11