Paper Citation Record · LEDGER

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.11013.

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

pith.paper-citation-record.v1
2608.11013 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 4d7ac9b3-8ceb-4ae3-87d9-7bf9299bb4cc · outbound

This paper cites Learning to compose topic-aware mixture of experts for zero-shot video captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Learning to compose topic-aware mixture of experts for zero-shot video captioning,

Reference 1

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Observation f533bef9-e475-42cf-936d-a43eb374ae32 · outbound

This paper cites DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 2

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This paper cites Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data

Reference 3

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This paper cites IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning

Reference 4

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Observation 64294703-8e7a-4721-ae98-2d64fe6fc190 · outbound

This paper cites Improving cross-modal alignment with synthetic pairs for text-only image captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Improving cross-modal alignment with synthetic pairs for text-only image captioning,

Reference 5

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Observation 507ee31f-a271-46ee-9576-c776fcacef4d · outbound

This paper cites Retta: Retrieval-enhanced test-time adaptation for zero-shot video cap- tioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Retta: Retrieval-enhanced test-time adaptation for zero-shot video cap- tioning,

Reference 6

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This paper cites Text-only training for image captioning using noise-injected CLIP,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Text-only training for image captioning using noise-injected CLIP,

Reference 7

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This paper cites Sequence to sequence-video to text,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Sequence to sequence-video to text,

Reference 8

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Observation 87b366b9-07bc-4024-99ce-0f2f9d010979 · outbound

This paper cites Bidirectional long- short term memory for video description,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Bidirectional long- short term memory for video description,

Reference 9

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Observation 351d23f9-35a5-44a6-bddd-c03b3be6856e · outbound

This paper cites Graph convolutional network meta- learning with multi-granularity pos guidance for video captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Graph convolutional network meta- learning with multi-granularity pos guidance for video captioning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:10:18.084924Z

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Observation 825e202e-8fe2-4ee3-b98c-b07524bac78e · outbound

This paper cites Describing videos by exploiting temporal structure,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Describing videos by exploiting temporal structure,

Reference 11

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Observation fde556e8-833d-4bdd-b1f7-9c59505c39da · outbound

This paper cites Icocap: Improving video captioning by compounding images,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Icocap: Improving video captioning by compounding images,

Reference 12

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This paper cites Memory- based augmentation network for video captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Memory- based augmentation network for video captioning,

Reference 13

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Observation 51c5fec0-3cc5-4a59-8530-6b7ade97ba1b · outbound

This paper cites Attention is all you need,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Attention is all you need,

Reference 14

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Observation 73b61cdb-cd4a-451d-9b67-0ce755e24ddf · outbound

This paper cites Hierarchical modular network for video captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Hierarchical modular network for video captioning,

Reference 15

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Observation 841c5f3c-b9ce-4f86-9946-389a85bccb3b · outbound

This paper cites Swinbert: End-to-end transformers with sparse attention for video captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Swinbert: End-to-end transformers with sparse attention for video captioning,

Reference 16

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Observation bc11fe1d-6959-434e-bc19-90eb76ead7d6 · outbound

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

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 17

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This paper cites Ma-lmm: Memory-augmented large multimodal model for long-term video understanding,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Ma-lmm: Memory-augmented large multimodal model for long-term video understanding,

Reference 18

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This paper cites Text-Only Training for Image Captioning using Noise-Injected CLIP.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Text-Only Training for Image Captioning using Noise-Injected CLIP

Reference 19

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This paper cites Language Models Can See: Plugging Visual Controls in Text Generation.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Language Models Can See: Plugging Visual Controls in Text Generation

Reference 20

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This paper cites Zerocap: Zero-shot image-to-text generation for visual-semantic arithmetic,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Zerocap: Zero-shot image-to-text generation for visual-semantic arithmetic,

Reference 21

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

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Learning transferable visual models from natural language supervision,

Reference 22

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This paper cites From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

Reference 23

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This paper cites Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning,

Reference 24

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This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

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Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Language models are unsupervised multitask learners,

Reference 26

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This paper cites Delving Deeper into the Decoder for Video Captioning.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Delving Deeper into the Decoder for Video Captioning

Reference 27

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This paper cites Improving video captioning with temporal composition of a visual-syntactic embedding,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Improving video captioning with temporal composition of a visual-syntactic embedding,

Reference 28

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This paper cites Zero-Shot Video Captioning with Evolving Pseudo-Tokens.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Zero-Shot Video Captioning with Evolving Pseudo-Tokens

Reference 29

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This paper cites MultiCapCLIP: Auto-encoding prompts for zero-shot multilingual visual captioning,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning MultiCapCLIP: Auto-encoding prompts for zero-shot multilingual visual captioning,

Reference 30

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Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Visual instruction tuning,

Reference 31

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This paper cites AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

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This paper cites Msr-vtt: A large video description dataset for bridging video and language,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Msr-vtt: A large video description dataset for bridging video and language,

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Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Collecting highly parallel data for paraphrase evaluation,

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This paper cites Vatex: A large-scale, high-quality multilingual dataset for video-and-language research,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Vatex: A large-scale, high-quality multilingual dataset for video-and-language research,

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This paper cites Bleu: a method for automatic evaluation of machine translation,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Bleu: a method for automatic evaluation of machine translation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:10:17.851757Z

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This paper cites Meteor universal: Language specific translation evaluation for any target language,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Meteor universal: Language specific translation evaluation for any target language,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:10:17.836508Z

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Observation 3db6d68b-92f4-4f6b-99bb-bc988827387c · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Rouge: A package for automatic evaluation of summaries,

Reference 38

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This paper cites Cider: Consensus- based image description evaluation,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Cider: Consensus- based image description evaluation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:10:17.813288Z

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This paper cites Decoupled Weight Decay Regularization.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Decoupled Weight Decay Regularization

Reference 40

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This paper cites Expanding language-image pretrained models for general video recognition,.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Expanding language-image pretrained models for general video recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:10:17.799454Z

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Observation 25108cc2-59b5-4d44-8fa3-526165b86e40 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning Wan: Open and Advanced Large-Scale Video Generative Models

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Pith citing papers

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