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Paper Citation Record · LEDGER

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.09988.

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

pith.paper-citation-record.v1
2607.09988 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:33:13.897103Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1beaa48-f893-498d-b43d-1e01cf12a609 · outbound

This paper cites ICML 2024 Tutorial: Physics of Language Models, July.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery ICML 2024 Tutorial: Physics of Language Models, July

Reference 1

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no resolver link, observed 2026-08-02T07:33:12.029827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.029827Z digest=sha256:05d444b7ac5507bf273363f39759544abb9f52294c55c09387ff66c8d3b7baee

Observation 3f98f013-2ac1-4f1d-9eb7-2921addef36b · outbound

This paper cites MemRec: Collaborative Memory-Augmented Agentic Recommender System.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery MemRec: Collaborative Memory-Augmented Agentic Recommender System

Reference 3

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no resolver link, observed 2026-08-02T07:33:12.210282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.210282Z digest=sha256:2d81d4d18fec878ee0b204daab03c93d9aea6f60e8dcf5f3875a82a3587db3ff

Observation 7faf164f-d1b2-4fcc-bbab-ef67fd69a554 · outbound

This paper cites Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie

Reference 6

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unresolved
no resolver link, observed 2026-08-02T07:33:12.517853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.517853Z digest=sha256:4173c6a21f4f56ba0ce7feb1f433b9b086f09ac72a0532f73462214b1830785c

Observation 09ef33a6-34d0-4db6-8fe0-05fdd4da5b9d · outbound

This paper cites RecoWorld: Building Simulated Environments for Agentic Recommender Systems.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery RecoWorld: Building Simulated Environments for Agentic Recommender Systems

Reference 9

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unresolved
no resolver link, observed 2026-08-02T07:33:12.781312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.781312Z digest=sha256:1c25e9374d9d55b7b74e687302f674dac0062c3c10c56bebf1605ba108a66a1b

Observation 2f8a6093-47dc-47d7-b1ba-8f2b560e8272 · outbound

This paper cites Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, and Minglai Shao.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, and Minglai Shao

Reference 10

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unresolved
no resolver link, observed 2026-08-02T07:33:12.892474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.892474Z digest=sha256:2d9f151909f0cf14b4ae7ea4c4e06c1ef1951c9317d98ae3ab9da2e2cdf7c3a8

Observation a39e9408-b25b-49c4-b5e1-83534caf17b9 · outbound

This paper cites Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q

Reference 11

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unresolved
no resolver link, observed 2026-08-02T07:33:12.995118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.995118Z digest=sha256:53d3a798e22905b52c8f00d17c5f550d7386b3dc203440c299b7c56e2f37c906

Observation 457d54b1-024b-4c3a-b1ef-0dbf57c57234 · outbound

This paper cites Recommender Systems with Generative Retrieval.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Recommender Systems with Generative Retrieval

Reference 12

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unresolved
no resolver link, observed 2026-08-02T07:33:13.096097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.096097Z digest=sha256:6b95ab67747f70ffe8d5d0367c26d28b047189a85efebd4e084cc4a18709c9f8

Observation cf446a52-f57f-41f8-bac5-8b04910bddfe · outbound

This paper cites Multi-agent video recom- menders: Evolution, patterns, and open challenges.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Multi-agent video recom- menders: Evolution, patterns, and open challenges

Reference 13

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unresolved
no resolver link, observed 2026-08-02T07:33:13.186820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.186820Z digest=sha256:8d58540199eac3958bc6f1bf7bc95371c4ef848fffb5371aab1847ea99a6178c

Observation c030e26f-60e9-4b90-a656-620dd7b40e81 · outbound

This paper cites Yi Tay, Vinh Q.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Yi Tay, Vinh Q

Reference 14

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no resolver link, observed 2026-08-02T07:33:13.243152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.243152Z digest=sha256:1c267689e96fae430809c6c71fa6f959c2c41e526136b574b71f3b35758b2335

Observation 5d80346b-d2e7-432c-b7f9-22e72f918633 · outbound

This paper cites Transformer Memory as a Differentiable Search Index.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Transformer Memory as a Differentiable Search Index

Reference 15

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unresolved
no resolver link, observed 2026-08-02T07:33:13.369694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.369694Z digest=sha256:3f58f6e962233992d0e3e7f4d840bc1b012a3bf450893999d1a071ad2bd0d5b7

Observation 70351ac6-a171-41c3-9764-1c82d89c756b · outbound

This paper cites Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents

Reference 16

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unresolved
no resolver link, observed 2026-08-02T07:33:13.477707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.477707Z digest=sha256:679e4eaa1e04c222e52abb4617ad270756331ddd3a5da37fe1945b5857e32e9a

Observation 573caba7-4420-4091-ba15-aa689686f81d · outbound

This paper cites Yue Xu, Qian Chen, Zizhan Ma, Dongrui Liu, Wenxuan Wang, Xiting Wang, Li Xiong, and Wenjie Wang.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Yue Xu, Qian Chen, Zizhan Ma, Dongrui Liu, Wenxuan Wang, Xiting Wang, Li Xiong, and Wenjie Wang

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T07:33:13.626368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.626368Z digest=sha256:ab99d1c842c413bd8718bbff543e9681850ffde4332df56609a58ab8c33a2868

Observation 3fd6aa3c-173d-465d-b078-6433c77a89f2 · outbound

This paper cites Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, and Yu Shi.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, and Yu Shi

Reference 18

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unresolved
no resolver link, observed 2026-08-02T07:33:13.794355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.794355Z digest=sha256:f1bcb4948dd529513e66e5450d6424f1a9be434ffef980b5fc28ac2a3eae0ea2

Observation 47165600-7f2a-40ff-8028-e7d08f223775 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 19

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no resolver link, observed 2026-08-02T07:33:13.897103Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.897103Z digest=sha256:f3268746dfceee87b490a4843274a26872ff55a7e79780ae82a49f3c339d9c1b

Observation 186259eb-3ccb-4ec3-afd6-fa2ddeb21fcf · outbound

This paper cites Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 2022

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unresolved
no resolver link, observed 2026-08-02T07:33:12.470577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.470577Z digest=sha256:58bfe87f1a0f86dc317f346d6eac7c8dab874ff7fea5d0a9b32b0474031735ed

Observation 5422427c-7ee0-4c75-9f79-498e5ae29f31 · outbound

This paper cites Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, et al.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, et al

Reference 2023

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no resolver link, observed 2026-08-02T07:33:12.684870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.684870Z digest=sha256:9d4f7d8ecc26a39de5b75e27704bb8d31d03d3f9807a54cb3289cae7bb74ab15

Observation 94524446-adba-45e2-8c73-2d98fb5d3661 · outbound

This paper cites Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.598891Z digest=sha256:99f851c121aeb6e71d6543e95c23550c39a8f99dbaf0e8b5ffbf8c4b31fb86c4

Observation e9ae746f-e30e-4f93-9fc5-9f8086decf30 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 2025

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no resolver link, observed 2026-08-02T07:33:12.378636Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.378636Z digest=sha256:4debce0b1ce8e798fce438f41244f3d53cd97b716513c937d6e227b7bfa42973

Observation 81aced5b-14c4-47c0-83dd-233c4cfe16de · outbound

This paper cites Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Clark Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, and Yongfeng Zhang.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Clark Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, and Yongfeng Zhang

Reference 2026

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no resolver link, observed 2026-08-02T07:33:12.125927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.125927Z digest=sha256:7414311f2bedf2e24290708eacb64187f22a133b99873fe97bc327dca4e2b99d

Pith citing papers

No inbound Pith citation observations are available.