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Paper Citation Record · LEDGER

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.19627.

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

pith.paper-citation-record.v1
2606.19627 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T18:52:25.487335Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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  • unresolved27
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External citation measurements

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Outbound references

Observation bc99a503-b641-43c1-9529-8e2757375a6d · outbound

This paper cites Hidden layer mod- els for company representations and product recommendations.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Hidden layer mod- els for company representations and product recommendations

Reference 1

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Observation 30ed5d75-ed66-4a60-9642-6e8d428984f4 · outbound

This paper cites Deconfounding duration bias in watch-time prediction for video recommendation.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Deconfounding duration bias in watch-time prediction for video recommendation

Reference 2

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Observation f1b91c7f-9f8e-43f5-8218-ddfd1f771fcf · outbound

This paper cites Deep neural networks for youtube recommen- dations.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Deep neural networks for youtube recommen- dations

Reference 3

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Observation db53fd32-7824-4fda-bb12-820275af0fdb · outbound

This paper cites Pinnersage: Multi-modal user embedding framework for recommendations at pin- terest.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Pinnersage: Multi-modal user embedding framework for recommendations at pin- terest

Reference 4

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Observation 96c5ca47-0dd6-46f9-ada7-cfa0abab3243 · outbound

This paper cites Sampling-bias-corrected neural modeling for large corpus item recommendations.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Sampling-bias-corrected neural modeling for large corpus item recommendations

Reference 5

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Observation f0290a11-5a60-42b7-b456-fe4b6badece2 · outbound

This paper cites Business entity matching with siamese graph convolutional networks.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Business entity matching with siamese graph convolutional networks

Reference 6

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Observation 10cc9964-b021-44bd-9302-9bc26ebdc4f9 · outbound

This paper cites Graph neural networks for entity matching.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Graph neural networks for entity matching

Reference 7

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Observation 7b44e471-f912-4fd2-8e1e-6c8b9d23874d · outbound

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

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Learning transferable visual models from natural language supervision

Reference 8

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Observation a5663706-00a2-4ec0-b599-7e45ab43a6d4 · outbound

This paper cites Contrastive language and vision learning of general fashion concepts.Scientific Reports, 12(1):18958, 2022.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Contrastive language and vision learning of general fashion concepts.Scientific Reports, 12(1):18958, 2022

Reference 9

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Observation 848c6e5a-88d9-4d8b-9a08-a3b9abab480b · outbound

This paper cites Evaluating pre- trained sentence-bert with class embeddings in active learning for multi-label text classifica- tion.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Evaluating pre- trained sentence-bert with class embeddings in active learning for multi-label text classifica- tion

Reference 10

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Observation 0b0e3290-a845-4aaa-85a0-072d2845b381 · outbound

This paper cites Investigating active learning sampling strategies for extreme multi label text classification.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Investigating active learning sampling strategies for extreme multi label text classification

Reference 11

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Observation 7b668394-396c-4626-8366-4a46e9353e3c · outbound

This paper cites Reinforced active learning for low-resource, domain-specific, multi-label text classification.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Reinforced active learning for low-resource, domain-specific, multi-label text classification

Reference 12

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Observation ac49af01-0bbd-47d2-9107-3c0ff7608f51 · outbound

This paper cites Large language models are zero-shot rankers for recommender systems.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Large language models are zero-shot rankers for recommender systems

Reference 13

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Observation dbfad53b-1e33-4498-9575-da8a888a3a65 · outbound

This paper cites Adapting llms for structured natural language api inte- gration.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Adapting llms for structured natural language api inte- gration

Reference 14

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Observation d22b0881-a1f2-477d-ba26-c8febf457a2b · outbound

This paper cites Grounding llms for database exploration: Intent scoping and paraphrasing for robust nl2sql.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Grounding llms for database exploration: Intent scoping and paraphrasing for robust nl2sql

Reference 15

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Observation 38948620-aa82-4f86-ab2e-f4ec34dde784 · outbound

This paper cites Optimizing large language models for robust domain-specific text-to-sql: From prompting to preference alignment.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Optimizing large language models for robust domain-specific text-to-sql: From prompting to preference alignment

Reference 16

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Observation 4ba8929a-336c-4eea-a362-8983f942d4d7 · outbound

This paper cites How contextual are contextualized word representations? InEMNLP- IJCNLP 2019, 2019.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions How contextual are contextualized word representations? InEMNLP- IJCNLP 2019, 2019

Reference 17

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Observation c5818b0a-e9ca-4f74-8781-dd5bc506f5bb · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 18

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Observation 1bad02f9-9cc9-4c51-bfa2-ee9f4b2d4e04 · outbound

This paper cites Retrieve, annotate, evaluate, repeat: Leveraging multimodal llms for large- scale product retrieval evaluation.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Retrieve, annotate, evaluate, repeat: Leveraging multimodal llms for large- scale product retrieval evaluation

Reference 19

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Observation 30e5e266-e750-4e15-acb9-99e09600311e · outbound

This paper cites Pham, Michael R.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Pham, Michael R

Reference 20

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Observation 5ae412d6-ec22-4901-a7da-d2ffd3b06bb9 · outbound

This paper cites Pham, Michael R.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Pham, Michael R

Reference 21

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Observation 90a66153-143e-4465-9f5f-f1063f7f446d · outbound

This paper cites Towards reliable conversational data analytics.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Towards reliable conversational data analytics

Reference 22

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Observation 4f811e0f-9444-499f-baa4-d250abc42265 · outbound

This paper cites Powering video recommendations with multimodal embeddings guided by llms.EARL@RecSys, 2025.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Powering video recommendations with multimodal embeddings guided by llms.EARL@RecSys, 2025

Reference 23

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Observation 0524a860-1aea-4a7f-ad2a-46cbaaca7b79 · outbound

This paper cites Building a scalable, effective, and steerable search and ranking platform, 2024.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Building a scalable, effective, and steerable search and ranking platform, 2024

Reference 24

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Observation fbbab663-87c9-4a40-b38d-639b237f0264 · outbound

This paper cites Data series similarity using correlation-aware measures.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Data series similarity using correlation-aware measures

Reference 25

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Observation 5cfb42e3-49f9-4e56-a5e8-6e196105e8c0 · outbound

This paper cites Similarity matching for uncertain time series: analytical and experimental comparison.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Similarity matching for uncertain time series: analytical and experimental comparison

Reference 26

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Observation b3a0e855-ed6a-43cb-a26f-f485924c12a3 · outbound

This paper cites Uncertain time-series similarity: Return to the basics.Proceedings of the VLDB Endowment, 5(11):1662– 1673, 2012.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Uncertain time-series similarity: Return to the basics.Proceedings of the VLDB Endowment, 5(11):1662– 1673, 2012

Reference 27

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Observation a4dabd05-4af1-4f05-896b-cc1b04b9c305 · outbound

This paper cites Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping.

VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping

Reference 28

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Source-reported events for the cited work

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