Paper Citation Record · LEDGER

LLMs for Customized Marketing Content Generation and Evaluation at Scale

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2506.17863.

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

pith.paper-citation-record.v1
2506.17863 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:04:00.349808Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:49:50.824947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:41:36.486229Z

Reference resolution

50 of 50 outbound references displayed

verified exact2
verified fuzzy12
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2902817-5d44-4b41-927a-40913217b786 · outbound

This paper cites Llm based generation of item-description for recommendation system.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Llm based generation of item-description for recommendation system

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.190915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb289813-f7a2-45b8-b28a-1cbaf030aecc · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.Claude-3 Model Card, 1, 2024.

LLMs for Customized Marketing Content Generation and Evaluation at Scale The claude 3 model family: Opus, sonnet, haiku.Claude-3 Model Card, 1, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.828178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e13fc6c2-45e2-4665-a22f-6aead3c5c8a1 · outbound

This paper cites Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.198197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48422f63-435e-44b1-aac4-b949a4ecd575 · outbound

This paper cites ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning.

LLMs for Customized Marketing Content Generation and Evaluation at Scale ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.201815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d935abc-bfb9-45e7-80c1-320203547296 · outbound

This paper cites Language models are few-shot learners.Advances in neural infor- mation processing systems, 33:1877–1901, 2020.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Language models are few-shot learners.Advances in neural infor- mation processing systems, 33:1877–1901, 2020

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.205457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09485893-69b7-4a06-a2e2-7b39ca0fac08 · outbound

This paper cites Evaluation of Text Generation: A Survey.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Evaluation of Text Generation: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.208794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 886f2f91-eec4-49d9-b221-903d5e288a87 · outbound

This paper cites GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking.

LLMs for Customized Marketing Content Generation and Evaluation at Scale GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.212063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d0ead0-efc1-476d-bbe6-4417d85f9918 · outbound

This paper cites Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240):1–113, 2023.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240):1–113, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.215293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9eb15c1-d43c-4f83-90e8-30d967870b8d · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.218149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a70ded3-8ff1-47a1-9c2b-8de2a70e5b0a · outbound

This paper cites A Survey on LLM Inference-Time Self-Improvement.

LLMs for Customized Marketing Content Generation and Evaluation at Scale A Survey on LLM Inference-Time Self-Improvement

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.222054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6cc25d-6635-4786-94e4-256da8d332a1 · outbound

This paper cites Disclosure and Mitigation of Gender Bias in LLMs.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Disclosure and Mitigation of Gender Bias in LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.225711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba7461c-5ffb-4c42-ba9d-847c1eeaca20 · outbound

This paper cites The faiss library.

LLMs for Customized Marketing Content Generation and Evaluation at Scale The faiss library

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.228721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 139ec512-ac2c-462b-b83d-dee952c01f06 · outbound

This paper cites all-minilm-l6-v2, 2020.

LLMs for Customized Marketing Content Generation and Evaluation at Scale all-minilm-l6-v2, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.808068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b975808-0baa-4d1c-a7a5-db489685025e · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630 (8017):625–630, 2024.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Detecting hallucinations in large language models using semantic entropy.Nature, 630 (8017):625–630, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.800500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8e5d86d-bea3-4bcb-8a4a-538b2e02e82f · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.238270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d7e9b3e-9bad-46e6-89b1-bc7366599455 · outbound

This paper cites A Survey on LLM-as-a-Judge.

LLMs for Customized Marketing Content Generation and Evaluation at Scale A Survey on LLM-as-a-Judge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.242144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5e3a40-8fad-4060-afa3-46d5ab866d07 · outbound

This paper cites Pcr-chain: Partial code reuse assisted by hierarchical chaining of prompts on frozen copilot.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Pcr-chain: Partial code reuse assisted by hierarchical chaining of prompts on frozen copilot

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.792143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac8530fb-cbf7-4148-96c5-8d9a923e6a7e · outbound

This paper cites Serp interference network and its applications in search advertising.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Serp interference network and its applications in search advertising

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.783959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 077ece95-d15a-4299-bd12-5a78c243f155 · outbound

This paper cites Copyright Violations and Large Language Models.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Copyright Violations and Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.250646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d899342f-4051-407d-8fad-d3ac864d58a4 · outbound

This paper cites Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.253525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f5c8e0-1b11-4e6c-a3d5-d7abddb19128 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.775018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6df10408-bc5c-4995-94e2-24db50c6af48 · outbound

This paper cites IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering.

LLMs for Customized Marketing Content Generation and Evaluation at Scale IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.259694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6fca96-3302-4d70-80d2-9283c2a80f3e · outbound

This paper cites Controllable Text Generation for Large Language Models: A Survey.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Controllable Text Generation for Large Language Models: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.262861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02557b3d-51c9-421b-8e9d-cb05e0a82131 · outbound

This paper cites I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm.

LLMs for Customized Marketing Content Generation and Evaluation at Scale I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.266293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f95f7b87-ad43-466e-b69c-e97346b74224 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

LLMs for Customized Marketing Content Generation and Evaluation at Scale G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.269275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceacf50a-7c32-4ef5-95bb-bf0f6d53d398 · outbound

This paper cites Can LLMs Follow Simple Rules?.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Can LLMs Follow Simple Rules?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.272942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e37da5-a50c-4f8c-b369-5e86e67d0984 · outbound

This paper cites Privacy Issues in Large Language Models: A Survey.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Privacy Issues in Large Language Models: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.276689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7932f75-fad7-4f0e-bad1-d05cd9a0faaa · outbound

This paper cites Detecting and Mitigating Hallucinations in Multilingual Summarisation.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Detecting and Mitigating Hallucinations in Multilingual Summarisation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:04:00.460697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51ded7b6-fb25-4a1e-98ff-18e72a549713 · outbound

This paper cites Applying large language models to sponsored search advertising.URL: https://www.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Applying large language models to sponsored search advertising.URL: https://www

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.766491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39e72395-1558-4edc-b94e-87487b779188 · outbound

This paper cites Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.287318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac23857-1394-4ec9-b1c0-22bbbb60454e · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.290893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a8e4b0-dea2-4c04-a8dc-1dc9bcf45d4b · outbound

This paper cites Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.758969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9977b53-dbfa-4a20-80e4-e8be69543975 · outbound

This paper cites Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.296919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e14f6d-7c1f-4600-8683-da0b9b8037a5 · outbound

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

LLMs for Customized Marketing Content Generation and Evaluation at Scale Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.300773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a39957-aa6e-4a67-9390-10b6b13318e9 · outbound

This paper cites Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.303690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84bc63b1-4480-4058-9980-859ae81b2f42 · outbound

This paper cites Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, and Bo Li.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, and Bo Li

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.749886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f71128b2-a442-4fd3-9792-5a09b1b875ba · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35: 24824–24837, 2022.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35: 24824–24837, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.741780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d284d9da-2a27-48e1-9714-0c2723e0a18f · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.312758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd2ee5cc-6081-4cda-b982-a0bdc535eeb7 · outbound

This paper cites KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques.

LLMs for Customized Marketing Content Generation and Evaluation at Scale KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.316407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571f540a-363e-4b17-a74c-363e2147e9ca · outbound

This paper cites Retrieval- augmented multimodal language modeling, 2023.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Retrieval- augmented multimodal language modeling, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.733230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb1a4eba-0ebc-4705-9609-ed0f5c7a806a · outbound

This paper cites Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.322161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99dce5f7-f1fd-4ea3-8c7c-ba644fabed11 · 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.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.325405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d9931f-fae5-4ac9-8958-c0014d384f49 · outbound

This paper cites GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model.

LLMs for Customized Marketing Content Generation and Evaluation at Scale GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:04:00.396549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4eb16f10-c343-4373-ba2f-85acbb9595a7 · outbound

This paper cites Self-Discover: Large Language Models Self-Compose Reasoning Structures.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.331399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95414dae-2964-4107-a450-78b0d398f103 · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:04:00.720163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 775dc634-2dba-44e1-8b8b-78c933521eb1 · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:04:00.712162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0606d7f5-e4e0-47ed-90fd-7940dfe70261 · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:04:00.703842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation deb9cc6a-b85a-40ab-8b3e-86fc4a50a2d8 · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:04:00.694798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbbfecfc-b0b0-4af1-b318-3f2348f687a1 · outbound

This paper cites an unresolved cited work.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:04:00.685077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5f8483c-fa4e-4da0-8949-f7bced01a35c · outbound

This paper cites Be more flexible with headlines compared to descriptions.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Be more flexible with headlines compared to descriptions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:00.675465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 02e9e19c-83fd-4f90-8e25-17b45c8ba3eb · inbound

Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation cites this paper.

Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation LLMs for Customized Marketing Content Generation and Evaluation at Scale

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:36.487570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 452f2bec-d6b3-4545-bcde-596fd92a5793 · inbound

Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning cites this paper.

Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning LLMs for Customized Marketing Content Generation and Evaluation at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:31:51.839206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e70ae73-351f-4122-94e7-8eb3abb4f9aa · inbound

Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning cites this paper.

Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning LLMs for Customized Marketing Content Generation and Evaluation at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T00:49:50.824947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.