Paper Citation Record · LEDGER

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction

As of 7 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2507.15130.

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

pith.paper-citation-record.v1
2507.15130 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:44:49.592008Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T11:39:15.308355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:40:03.350024Z

Reference resolution

62 of 62 outbound references displayed

verified exact6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1ef1572-a27c-4efd-b6ee-8a89deccadc8 · outbound

This paper cites When will you do what?-anticipating temporal occurrences of activities.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction When will you do what?-anticipating temporal occurrences of activities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:50.173046Z

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Observation cb381446-e785-4243-9a8f-b90d5f812668 · outbound

This paper cites GPT-4 Technical Report.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction GPT-4 Technical Report

Reference 2

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Observation 72238229-4323-4029-bb15-8fa4759981fb · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Flamingo: a visual language model for few-shot learning

Reference 3

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Observation fff40a00-3055-483b-99c0-73bf8ca694e5 · outbound

This paper cites Hiervl: Learning hierarchical video- language embeddings.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Hiervl: Learning hierarchical video- language embeddings

Reference 4

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Observation f9f18253-afc6-42b3-9605-c383a5d72b26 · outbound

This paper cites Procedure planning in instructional videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Procedure planning in instructional videos

Reference 5

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Observation fbf579ff-4efe-43d4-889e-b9e8957a91b8 · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 6

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Observation b1b39347-9368-4e03-9849-e3285bb02838 · outbound

This paper cites EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning

Reference 7

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Observation 92f198ec-ee75-48ac-8f2a-66d84f03eb99 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation 6c23d4da-96e1-43a4-b120-7c4db34acdaa · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Better & Faster Large Language Models via Multi-token Prediction

Reference 9

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Observation 9b8f4eb0-eead-471e-a8b0-4397c62e683a · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Ego4d: Around the world in 3,000 hours of egocentric video

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:50.138897Z

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Observation 1e7b96ed-19db-489a-b249-63f02ce724b2 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Reasoning with Language Model is Planning with World Model

Reference 11

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Source-reported events for the cited work

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Observation 66bf25b6-aa1e-4d23-82b3-1a50ffecafe2 · outbound

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

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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Observation 3231d02b-bfad-4a3e-9862-4454351e6988 · outbound

This paper cites Vtimellm: Empower llm to grasp video moments.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Vtimellm: Empower llm to grasp video moments

Reference 13

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Observation b452a7b1-8d21-4b5b-a131-554a48270480 · outbound

This paper cites Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents

Reference 14

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Observation 5ebe8f6a-baad-455f-a467-80ef575e3610 · outbound

This paper cites Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos

Reference 15

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Observation 0f03c10e-7a52-4b22-a0c9-7d99c64ba0c9 · outbound

This paper cites Palm: Predicting actions through language models.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Palm: Predicting actions through language models

Reference 16

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Observation df76deea-f9a7-4c2b-9cea-6dc95f0b37bf · outbound

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

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction LLaVA-OneVision: Easy Visual Task Transfer

Reference 17

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Observation bbd8abc5-45e6-4a6a-9c4d-1e2ad8ac49ec · outbound

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

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 18

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Observation 010fbb76-6cf4-4479-82d7-62955d2fc731 · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction VideoChat: Chat-Centric Video Understanding

Reference 19

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Observation 8e2c3f67-7f3d-463a-ae90-eab374619d4d · outbound

This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Mvbench: A comprehensive multi-modal video understand- ing benchmark

Reference 20

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Observation 83e61c2f-2559-4abc-bed2-2b054d6e6cc0 · outbound

This paper cites Llama-vid: An image is worth 2 tokens in large language models.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Llama-vid: An image is worth 2 tokens in large language models

Reference 21

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Observation e32811d9-557a-45dc-8a30-0dcf25808e09 · outbound

This paper cites Skip-plan: Procedure plan- ning in instructional videos via condensed action space learn- ing.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Skip-plan: Procedure plan- ning in instructional videos via condensed action space learn- ing

Reference 22

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Observation 5d031845-fb8f-4d37-83cd-620bed5edc2f · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 23

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Observation 1826b2e1-b5d0-4166-95ad-9199fcbaf75d · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 24

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Observation 0d423aea-4a84-411c-8400-7a297d87cd58 · outbound

This paper cites Visual instruction tuning.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Visual instruction tuning

Reference 25

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Observation 19b722b5-fe3a-422c-807c-cf83d362d10d · outbound

This paper cites A language-first approach for procedure planning.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction A language-first approach for procedure planning

Reference 26

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Observation ec54eccf-757e-4470-a178-8c20ac2ca022 · outbound

This paper cites Intention-conditioned long-term human egocentric action anticipation.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Intention-conditioned long-term human egocentric action anticipation

Reference 27

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Observation e70b9c84-0c3a-4466-b36c-262583ebbfa4 · outbound

This paper cites Can’t make an omelette without breaking some eggs: Plausible action anticipation using large video- language models.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Can’t make an omelette without breaking some eggs: Plausible action anticipation using large video- language models

Reference 28

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Observation 7e57bf75-9560-4cb3-a881-8c99d592fa92 · outbound

This paper cites Any- mal: An efficient and scalable any-modality augmented lan- guage model.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Any- mal: An efficient and scalable any-modality augmented lan- guage model

Reference 29

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Observation acc44834-e809-4f34-9a37-ff9452287226 · outbound

This paper cites Embodiedgpt: Vision-language pre-training via embodied chain of thought.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Embodiedgpt: Vision-language pre-training via embodied chain of thought

Reference 30

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Observation c0cd7f5f-bff3-49d8-b818-96adb1df2653 · outbound

This paper cites Ego-topo: Environment affordances from egocentric video.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Ego-topo: Environment affordances from egocentric video

Reference 31

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Observation b8de1b13-6e6a-4cc0-b53e-59a503d393c0 · outbound

This paper cites Why not use your text- book? knowledge-enhanced procedure planning of instruc- tional videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Why not use your text- book? knowledge-enhanced procedure planning of instruc- tional videos

Reference 32

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Observation 4d55b9dd-512e-4f59-9f33-0bc19cd72ffc · outbound

This paper cites Re- thinking learning approaches for long-term action anticipa- tion.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Re- thinking learning approaches for long-term action anticipa- tion

Reference 33

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Observation 003f8245-b33f-43fc-8cb8-f28d80703fbb · outbound

This paper cites Do Pre-trained Vision-Language Models Encode Object States?.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Do Pre-trained Vision-Language Models Encode Object States?

Reference 34

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Observation 23e267b8-7b9e-44fa-ba12-6ecdce73340d · outbound

This paper cites SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos

Reference 35

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Observation eb7d0d66-827a-41ca-975d-84c6678d8883 · outbound

This paper cites Pretrained language models as visual planners for human assistance.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Pretrained language models as visual planners for human assistance

Reference 36

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Observation ad121c6a-9f47-4e65-820a-c8f927d7c9d2 · outbound

This paper cites EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation

Reference 37

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Observation 212abde4-2bc1-42ed-82a1-c02e251bec32 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 38

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Observation 8d5e895f-1c46-43d7-9700-6300edf4e55b · outbound

This paper cites Timechat: A time-sensitive multimodal large lan- guage model for long video understanding.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Timechat: A time-sensitive multimodal large lan- guage model for long video understanding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:47.619011Z

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Observation 9f2e9711-22f4-4fe6-98c5-e186b4b5e058 · outbound

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Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Llm-planner: Few-shot grounded planning for embodied agents with large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.944499Z

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Observation 0332c79f-4bd2-4097-a37d-4d215e106510 · outbound

This paper cites Moviechat: From dense token to sparse memory for long video understanding.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Moviechat: From dense token to sparse memory for long video understanding

Reference 41

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This paper cites Coin: A large-scale dataset for comprehensive instructional video analysis.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Coin: A large-scale dataset for comprehensive instructional video analysis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.932602Z

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Observation f219ca49-d55a-4d09-96f2-08470039b654 · outbound

This paper cites Learning Multiple Object States from Actions via Large Language Models.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Learning Multiple Object States from Actions via Large Language Models

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:44:49.717370Z

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Observation 5f6f2c71-ab4a-44a8-a5de-3d2bf337fcc5 · outbound

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

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

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Source-reported events for the cited work

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Observation ddc243e0-b54d-4218-ba0d-974bfd281f57 · outbound

This paper cites User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:44:49.697709Z

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Observation 3b647031-8ff2-4b39-9107-29dbc407fde3 · outbound

This paper cites Event-guided procedure planning from in- structional videos with text supervision.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Event-guided procedure planning from in- structional videos with text supervision

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.925468Z

Source-reported events for the cited work

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Observation 7bd79037-3e2b-4fd2-afcb-c52500d9e309 · outbound

This paper cites Pdpp: Projected diffusion for procedure planning in instructional videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Pdpp: Projected diffusion for procedure planning in instructional videos

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.917737Z

Source-reported events for the cited work

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Observation 9cb4e834-73d3-49bc-aaee-44abd6ea5728 · outbound

This paper cites Vamos: Versatile Action Models for Video Understanding.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Vamos: Versatile Action Models for Video Understanding

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:44:49.687256Z

Source-reported events for the cited work

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Observation a088458d-7634-4f1c-8ca8-51e26ea5be01 · outbound

This paper cites Learn- ing object state changes in videos: An open-world perspec- tive.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Learn- ing object state changes in videos: An open-world perspec- tive

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.909513Z

Source-reported events for the cited work

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Observation 956f8e27-856e-4355-936d-0666a9808099 · outbound

This paper cites Octopus: Embodied vision- language programmer from environmental feedback, 2023.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Octopus: Embodied vision- language programmer from environmental feedback, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.901873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d5423c0-02f8-49f9-9e76-ff78bfff4087 · outbound

This paper cites RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:44:49.675996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a03f4ecb-e404-4648-bf90-07472dcd2fc3 · outbound

This paper cites Object-centric video representation for long-term action anticipation.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Object-centric video representation for long-term action anticipation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.894247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 23a278c6-bd3f-43e7-ab9b-259c65b1eb56 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:48.976855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78c2393-32b0-4215-884f-cf024c8db353 · outbound

This paper cites P3iv: Prob- abilistic procedure planning from instructional videos with weak supervision.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction P3iv: Prob- abilistic procedure planning from instructional videos with weak supervision

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.886095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 70571645-9ad2-4347-bea0-571aa42e7e8b · outbound

This paper cites AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:49.029086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653059be-6758-4f8a-ad93-a510d079ded0 · outbound

This paper cites Towards learning a generalist model for embod- ied navigation.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Towards learning a generalist model for embod- ied navigation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.878331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c8f553c1-b4d0-4bc1-9634-e562077195be · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:49.120307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed1535af-4470-4e8e-bb0b-5efafbe389f7 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:49.190266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58977a31-b981-4e08-ae42-3f13da79417e · outbound

This paper cites Cross- task weakly supervised learning from instructional videos.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Cross- task weakly supervised learning from instructional videos

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.866298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation aa874697-635c-4d25-8905-c864c4106a8e · outbound

This paper cites before” with “after.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction before” with “after

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.858942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df875fdf-dfaf-490e-b2ae-bd12d17b3fe7 · outbound

This paper cites Training We train our model for 1 epoch with a batch size of 1024.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction Training We train our model for 1 epoch with a batch size of 1024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.851659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 889eb96f-8bc6-4f6a-b0ec-b5d88ce41d6b · outbound

This paper cites dough”, “container.

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction dough”, “container

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:44:49.843986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 115e9f3b-1d83-4ccd-9d0b-7f6cbd293e61 · inbound

GeoWorld: Geometric World Models cites this paper.

GeoWorld: Geometric World Models Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:40:03.352082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.