Paper Citation Record · LEDGER

Speculative Decoding Reimagined for Multimodal Large Language Models

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2505.14260.

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

pith.paper-citation-record.v1
2505.14260 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:56.294364Z

measured 55 of 55 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:44:37.884895Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:11:02.504431Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy41
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2dd385fe-9b0d-445d-b8f1-cc68bc70f85e · outbound

This paper cites Gpt-4 technical report, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Gpt-4 technical report, 2023

Reference 1

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Observation 7f67eed2-59f5-48e5-991c-cd46b061895c · outbound

This paper cites Sharegpt.

Speculative Decoding Reimagined for Multimodal Large Language Models Sharegpt

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:05.438602Z

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Observation e6927f43-8e81-4274-8bf4-258444046e7f · outbound

This paper cites Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:05.149539Z

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Observation 965a96a4-3d00-4de6-ab69-719b76398cba · outbound

This paper cites Qwen2.5-vl technical report, 2025.

Speculative Decoding Reimagined for Multimodal Large Language Models Qwen2.5-vl technical report, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:04.929426Z

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Observation 8a5d4887-01d3-4a29-a57d-195b85dab7ac · outbound

This paper cites Lee, Deming Chen, and Tri Dao.

Speculative Decoding Reimagined for Multimodal Large Language Models Lee, Deming Chen, and Tri Dao

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:04.679671Z

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Observation eb9916d6-7160-437e-ab3b-039bc1341d38 · outbound

This paper cites Madtp: Multimodal alignment-guided dynamic token pruning for accelerating vision-language transformer.

Speculative Decoding Reimagined for Multimodal Large Language Models Madtp: Multimodal alignment-guided dynamic token pruning for accelerating vision-language transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:04.486357Z

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Observation 2f28a232-067d-40cb-b824-62a0df9bdbc0 · outbound

This paper cites MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding.

Speculative Decoding Reimagined for Multimodal Large Language Models MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding

Reference 7

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Observation d2cb13a1-3cfb-4125-9508-c2cb4afd6868 · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.

Speculative Decoding Reimagined for Multimodal Large Language Models An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:04.308827Z

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Observation 8472b815-8778-4719-b53a-e657fa0b0a88 · outbound

This paper cites Diffrate : Differentiable compression rate for efficient vision transformers.

Speculative Decoding Reimagined for Multimodal Large Language Models Diffrate : Differentiable compression rate for efficient vision transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:04.090731Z

Source-reported events for the cited work

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Observation 5971ae9b-2c20-4fff-85ce-4694e2f964cf · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Speculative Decoding Reimagined for Multimodal Large Language Models Evaluating Large Language Models Trained on Code

Reference 10

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Source-reported events for the cited work

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Observation cc6f647b-2343-4021-b403-87dbb174dd76 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Speculative Decoding Reimagined for Multimodal Large Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:52.140080Z

Source-reported events for the cited work

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Observation a1a6d5c4-a8c2-4b6b-a810-159e414f5e6d · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Speculative Decoding Reimagined for Multimodal Large Language Models Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:52.269586Z

Source-reported events for the cited work

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Observation 35311bcf-9417-48ea-8de5-2a63cfc3d0a1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Speculative Decoding Reimagined for Multimodal Large Language Models Training Verifiers to Solve Math Word Problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:52.384747Z

Source-reported events for the cited work

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Observation 607f0ff6-625e-4e48-b6a0-4c393f4a9d1d · outbound

This paper cites Flashattention-2: Faster attention with better paral- lelism and work partitioning.

Speculative Decoding Reimagined for Multimodal Large Language Models Flashattention-2: Faster attention with better paral- lelism and work partitioning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:03.902246Z

Source-reported events for the cited work

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Observation 2cca68c7-34f7-4400-a9b6-cb1ffa537e3d · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Speculative Decoding Reimagined for Multimodal Large Language Models Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:03.688863Z

Source-reported events for the cited work

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Observation 46f9dfcc-1f41-458f-8b67-45ad1b2ab7f0 · outbound

This paper cites Mme: A compre- hensive evaluation benchmark for multimodal large language models, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Mme: A compre- hensive evaluation benchmark for multimodal large language models, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:03.454182Z

Source-reported events for the cited work

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Observation 40c1840c-6422-42a9-9344-4dacfb33782b · outbound

This paper cites Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Speculative Decoding Reimagined for Multimodal Large Language Models Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Reference 17

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Source-reported events for the cited work

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Observation db0aa4eb-b18e-4dcd-9db6-1983100197a2 · outbound

This paper cites On speculative de- coding for multimodal large language models, 2024.

Speculative Decoding Reimagined for Multimodal Large Language Models On speculative de- coding for multimodal large language models, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:03.284745Z

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Observation e8600f12-c8e8-4e6d-bf18-324907bf2c49 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

Speculative Decoding Reimagined for Multimodal Large Language Models Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:03.107501Z

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Observation e755fa42-dd18-4317-a2b3-9d9c1240456e · outbound

This paper cites Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models.

Speculative Decoding Reimagined for Multimodal Large Language Models Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:02.878228Z

Source-reported events for the cited work

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Observation 00150653-8d2e-4abe-93b2-8d56c5ad849c · outbound

This paper cites A diagram is worth a dozen images.

Speculative Decoding Reimagined for Multimodal Large Language Models A diagram is worth a dozen images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:02.615171Z

Source-reported events for the cited work

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Observation e581eb29-484a-4097-97be-101792a256b0 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Speculative Decoding Reimagined for Multimodal Large Language Models Efficient memory management for large language model serving with pagedattention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:02.306653Z

Source-reported events for the cited work

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Observation df04763c-b5f0-4827-aee5-b89b7354b870 · outbound

This paper cites Fast in- ference from transformers via speculative decoding, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Fast in- ference from transformers via speculative decoding, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:02.079645Z

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Observation a7c93abb-242d-4d10-bde5-3d0554f5ef1d · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Speculative Decoding Reimagined for Multimodal Large Language Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:01.815404Z

Source-reported events for the cited work

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Observation 21f14983-b513-4013-aeb5-2932a222da6a · outbound

This paper cites Mbq: Modality-balanced quantization for large vision-language models, 2025.

Speculative Decoding Reimagined for Multimodal Large Language Models Mbq: Modality-balanced quantization for large vision-language models, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:01.617127Z

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Observation 5240c826-d93f-4cdd-824b-a258b39e2219 · outbound

This paper cites Tokenpacker: Efficient visual projector for multimodal llm, 2024.

Speculative Decoding Reimagined for Multimodal Large Language Models Tokenpacker: Efficient visual projector for multimodal llm, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:01.352493Z

Source-reported events for the cited work

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Observation 67046b93-e169-4e1e-96d0-0e3727a4473c · outbound

This paper cites EAGLE-2: Faster inference of language models with dy- namic draft trees.

Speculative Decoding Reimagined for Multimodal Large Language Models EAGLE-2: Faster inference of language models with dy- namic draft trees

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:01.132549Z

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Observation 44eecb0f-c787-40ae-a6bb-4606fbfc0afe · outbound

This paper cites EAGLE: Speculative sampling requires rethinking feature uncertainty.

Speculative Decoding Reimagined for Multimodal Large Language Models EAGLE: Speculative sampling requires rethinking feature uncertainty

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:00.916324Z

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Observation e58f0841-c3dd-4168-914c-81caba70ba05 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Speculative Decoding Reimagined for Multimodal Large Language Models MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 29

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Source-reported events for the cited work

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Observation fb07f3c9-5560-4d84-ae63-8a5668afcedc · outbound

This paper cites Boosting multimodal large language models with visual to- kens withdrawal for rapid inference.

Speculative Decoding Reimagined for Multimodal Large Language Models Boosting multimodal large language models with visual to- kens withdrawal for rapid inference

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:00.756646Z

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Observation 7329108f-1ae6-449f-965e-d2f725a69bb8 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Improved baselines with visual instruction tuning, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:00.538357Z

Source-reported events for the cited work

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Observation 35094642-eb29-49a9-8ad5-976e6191ee16 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, January 2024.

Speculative Decoding Reimagined for Multimodal Large Language Models Llava-next: Im- proved reasoning, ocr, and world knowledge, January 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:00.419555Z

Source-reported events for the cited work

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Observation 6220cd67-de78-4ac0-81a0-8e3d457447ef · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player?, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Mmbench: Is your multi-modal model an all-around player?, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:00.118135Z

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Observation 986fedbd-0afd-4107-8494-be3dbdc3aad6 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

Speculative Decoding Reimagined for Multimodal Large Language Models Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:59.857099Z

Source-reported events for the cited work

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Observation 207bbc7e-f974-421d-8697-829ca8da4c0a · outbound

This paper cites ChartQA: A benchmark for question an- swering about charts with visual and logical reasoning.

Speculative Decoding Reimagined for Multimodal Large Language Models ChartQA: A benchmark for question an- swering about charts with visual and logical reasoning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:59.680608Z

Source-reported events for the cited work

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Observation 53475137-9217-4efa-b2a9-87ad353e4469 · outbound

This paper cites Mm1: Methods, analysis and in- sights from multimodal llm pre-training.

Speculative Decoding Reimagined for Multimodal Large Language Models Mm1: Methods, analysis and in- sights from multimodal llm pre-training

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:59.426790Z

Source-reported events for the cited work

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Observation e5507623-85a9-4fa1-848a-c3647f6cdb67 · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models.

Speculative Decoding Reimagined for Multimodal Large Language Models Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:55.084527Z

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Observation b7bc08e0-ec7a-4491-a807-8c5a8b5bdafb · outbound

This paper cites Learning transferable visual models from natural language supervision.

Speculative Decoding Reimagined for Multimodal Large Language Models Learning transferable visual models from natural language supervision

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:59.052147Z

Source-reported events for the cited work

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Observation 19239ca9-9e8a-4aa9-9123-15b289b32672 · outbound

This paper cites Crossget: cross-guided ensem- ble of tokens for accelerating vision-language transformers.

Speculative Decoding Reimagined for Multimodal Large Language Models Crossget: cross-guided ensem- ble of tokens for accelerating vision-language transformers

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:58.783792Z

Source-reported events for the cited work

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Observation f628e393-4091-47fc-9b2e-6495cd4a7187 · outbound

This paper cites Towards vqa models that can read.

Speculative Decoding Reimagined for Multimodal Large Language Models Towards vqa models that can read

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:58.567691Z

Source-reported events for the cited work

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Observation 174f5246-7735-4a63-9e22-aa1561093d9a · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Gemini: A family of highly capable multimodal models, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:58.189988Z

Source-reported events for the cited work

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Observation f5c3e04f-90a1-43b1-a083-a396502bbb87 · outbound

This paper cites Q-VLM: Post-training Quantization for Large Vision-Language Models.

Speculative Decoding Reimagined for Multimodal Large Language Models Q-VLM: Post-training Quantization for Large Vision-Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:55.672801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625280b5-3ea4-4d1a-a6bc-a95f5059fee9 · outbound

This paper cites Large multimodal model compression via iterative efficient prun- ing and distillation.

Speculative Decoding Reimagined for Multimodal Large Language Models Large multimodal model compression via iterative efficient prun- ing and distillation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:57.935490Z

Source-reported events for the cited work

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Observation 92345a1f-c526-408b-bc67-86134a9b672a · outbound

This paper cites Ppt: Token pruning and pooling for efficient vision transformers, 2023.

Speculative Decoding Reimagined for Multimodal Large Language Models Ppt: Token pruning and pooling for efficient vision transformers, 2023

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:57.686430Z

Source-reported events for the cited work

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

Observation 3af64a77-fdc8-47e3-9376-1d68bc731d99 · outbound

This paper cites mplug-owl: Modularization empowers large language mod- els with multimodality, 2024.

Speculative Decoding Reimagined for Multimodal Large Language Models mplug-owl: Modularization empowers large language mod- els with multimodality, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:57.404553Z

Source-reported events for the cited work

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

Observation be0b5308-a3d3-45b4-bce2-be9e6adb24a8 · outbound

This paper cites Generation meets verification: Accel- erating large language model inference with smart parallel auto-correct decoding.

Speculative Decoding Reimagined for Multimodal Large Language Models Generation meets verification: Accel- erating large language model inference with smart parallel auto-correct decoding

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:57.136593Z

Source-reported events for the cited work

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

Observation a7e61b52-b387-400e-abea-ad29daf30a8e · outbound

This paper cites Draft& verify: Lossless large language model acceleration via self-speculative decoding.

Speculative Decoding Reimagined for Multimodal Large Language Models Draft& verify: Lossless large language model acceleration via self-speculative decoding

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:56.950279Z

Source-reported events for the cited work

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

Observation da12a79a-721c-4b19-83ec-cd7f8a09eda0 · outbound

This paper cites Learning harmonized representations for speculative sampling, 2024.

Speculative Decoding Reimagined for Multimodal Large Language Models Learning harmonized representations for speculative sampling, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:56.802116Z

Source-reported events for the cited work

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

Observation 5bee170d-f6b2-4047-acff-1e972a7594c2 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Speculative Decoding Reimagined for Multimodal Large Language Models Xing, Hao Zhang, Joseph E

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:56.679378Z

Source-reported events for the cited work

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

Observation 04cc1c5d-e3fa-4e99-b933-ece44387040a · outbound

This paper cites TinyLLaVA: A Framework of Small-scale Large Multimodal Models.

Speculative Decoding Reimagined for Multimodal Large Language Models TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:56.206898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f9c9d9-75e0-4ad6-bb35-d5d11f6e01c2 · outbound

This paper cites Llava-phi: Efficient multi-modal assistant with small language model.

Speculative Decoding Reimagined for Multimodal Large Language Models Llava-phi: Efficient multi-modal assistant with small language model

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:56.539136Z

Source-reported events for the cited work

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

Pith citing papers

Observation d950a3a3-52f9-4710-9137-a53eeb6e7b30 · inbound

HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding cites this paper.

HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding Speculative Decoding Reimagined for Multimodal Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T23:44:37.884895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef8e9bd-1a19-4d4c-a9c4-16e926bbd613 · inbound

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning cites this paper.

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning Speculative Decoding Reimagined for Multimodal Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T19:34:58.789459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2212655e-0e7c-4a7f-b6d1-3393eb50a814 · inbound

SMART: When is it Actually Worth Expanding a Speculative Tree? cites this paper.

SMART: When is it Actually Worth Expanding a Speculative Tree? Speculative Decoding Reimagined for Multimodal Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:11:02.508599Z

Source-reported events for the cited work

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

Observation a35dae9a-87f5-42d7-8f24-55aeac61e1b2 · inbound

Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation cites this paper.

Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation Speculative Decoding Reimagined for Multimodal Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T01:48:52.479619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.