Paper Citation Record · LEDGER

Leveraging Large Language Models for Active Merchant Non-player Characters

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2412.11189.

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

pith.paper-citation-record.v1
2412.11189 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:15:22.129896Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:41.804915Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:52:41.903022Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy34
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f11b5d0a-61a7-486b-8d2f-aef918e4b085 · outbound

This paper cites Pangea: procedural artificial narrative using generative ai for turn-based, role-playing video games.

Leveraging Large Language Models for Active Merchant Non-player Characters Pangea: procedural artificial narrative using generative ai for turn-based, role-playing video games

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.827751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73c2be2f-e95a-4aee-8726-b0e551db3a7e · outbound

This paper cites [Cialdini, 2001] Robert B Cialdini.

Leveraging Large Language Models for Active Merchant Non-player Characters [Cialdini, 2001] Robert B Cialdini

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.780817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8533d6d3-1232-4f79-a949-246c351a777e · outbound

This paper cites [Dong et al., 2024] Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, and Zhifang Sui.

Leveraging Large Language Models for Active Merchant Non-player Characters [Dong et al., 2024] Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, and Zhifang Sui

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.750152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d5c40b7-0495-45e3-8625-ccbd759b656c · outbound

This paper cites [Gallotta et al., 2024] Roberto Gallotta, Graham Todd, Mar- vin Zammit, Sam Earle, Antonios Liapis, et al.

Leveraging Large Language Models for Active Merchant Non-player Characters [Gallotta et al., 2024] Roberto Gallotta, Graham Todd, Mar- vin Zammit, Sam Earle, Antonios Liapis, et al

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.735507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58770962-f467-434f-9450-1ed3c58b0ba1 · outbound

This paper cites Chemical life: Knowledge-based personality, emotion and action cues in educational games.

Leveraging Large Language Models for Active Merchant Non-player Characters Chemical life: Knowledge-based personality, emotion and action cues in educational games

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.720646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76ede9d3-9be0-4717-8417-a5182b1ad789 · outbound

This paper cites Breaking the length barrier: Llm-enhanced ctr prediction in long textual user behaviors.

Leveraging Large Language Models for Active Merchant Non-player Characters Breaking the length barrier: Llm-enhanced ctr prediction in long textual user behaviors

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.705904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03bf77c6-9508-4313-94ca-ca44b3301029 · outbound

This paper cites [Grattafiori et al., 2024] Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, et al.

Leveraging Large Language Models for Active Merchant Non-player Characters [Grattafiori et al., 2024] Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, et al

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.686409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7b02f98-4ee8-47ae-b348-ca893eaf3ece · outbound

This paper cites Virtual item purchase behavior in virtual worlds: An exploratory investigation.

Leveraging Large Language Models for Active Merchant Non-player Characters Virtual item purchase behavior in virtual worlds: An exploratory investigation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.670044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ef6d656-f385-4038-9ddf-7d86ccc6c414 · outbound

This paper cites [Jin et al., 2024] Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, and Huan Chen.

Leveraging Large Language Models for Active Merchant Non-player Characters [Jin et al., 2024] Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, and Huan Chen

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.640230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b28ce19e-0818-4b19-817e-e47ef1cf28b3 · outbound

This paper cites [Kim et al., 2005] Peter H Kim, Robin L Pinkley, and Ali- son R Fragale.

Leveraging Large Language Models for Active Merchant Non-player Characters [Kim et al., 2005] Peter H Kim, Robin L Pinkley, and Ali- son R Fragale

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.624735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3074484-4789-4996-88e8-28574900b18d · outbound

This paper cites [Latitude, 2019] Inc.

Leveraging Large Language Models for Active Merchant Non-player Characters [Latitude, 2019] Inc

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.594678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f2d09f5-294d-499e-adf3-a3a34c5db26d · outbound

This paper cites G-eval: NLG evaluation using gpt-4 with better human alignment.

Leveraging Large Language Models for Active Merchant Non-player Characters G-eval: NLG evaluation using gpt-4 with better human alignment

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.548884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07e5fccd-1c84-47ec-a163-493f4a2343a7 · outbound

This paper cites [Marincioni et al., 2024] Alessandro Marincioni, Myriana Miltiadous, Katerina Zacharia, Rick Heemskerk, Georgios Doukeris, et al.

Leveraging Large Language Models for Active Merchant Non-player Characters [Marincioni et al., 2024] Alessandro Marincioni, Myriana Miltiadous, Katerina Zacharia, Rick Heemskerk, Georgios Doukeris, et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.534488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db81b2b9-97ab-46b1-b245-7acef272c921 · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

Leveraging Large Language Models for Active Merchant Non-player Characters On faithfulness and factuality in abstractive summarization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.519683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f8eeefc-1783-4ea3-b2fb-2fa37d619d1f · outbound

This paper cites [Mohamed et al., 2022] Mohamed Ali Mohamed, Ibrahim Mahmoud El-Henawy, and Ahmad Salah.

Leveraging Large Language Models for Active Merchant Non-player Characters [Mohamed et al., 2022] Mohamed Ali Mohamed, Ibrahim Mahmoud El-Henawy, and Ahmad Salah

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.504605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 15099c21-3078-45bf-900e-a9dd27d6c638 · outbound

This paper cites Gpt- 4 technical report,.

Leveraging Large Language Models for Active Merchant Non-player Characters Gpt- 4 technical report,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.473076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c46241df-9604-40c7-a106-11f17b294052 · outbound

This paper cites Gender, age, and responsiveness to cialdini’s persuasion strategies.

Leveraging Large Language Models for Active Merchant Non-player Characters Gender, age, and responsiveness to cialdini’s persuasion strategies

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.457490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db79cfa8-2db2-45d8-9371-049f82a326aa · outbound

This paper cites Player-driven emergence in llm-driven game narrative.

Leveraging Large Language Models for Active Merchant Non-player Characters Player-driven emergence in llm-driven game narrative

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.407540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a85885c-58ca-4e92-931f-06a9bbd58d79 · outbound

This paper cites Goal-oriented interactions in games using llms.

Leveraging Large Language Models for Active Merchant Non-player Characters Goal-oriented interactions in games using llms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.391648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ccea6b2a-9fca-45d7-847c-c8a95b4142b1 · outbound

This paper cites Uncover the smoking gun.

Leveraging Large Language Models for Active Merchant Non-player Characters Uncover the smoking gun

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:15:22.106378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7333b7b0-86ae-400f-a82c-fe41e2d4df45 · outbound

This paper cites [Seabold and Perktold, 2010] Skipper Seabold and Josef Perktold.

Leveraging Large Language Models for Active Merchant Non-player Characters [Seabold and Perktold, 2010] Skipper Seabold and Josef Perktold

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.373677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8124413b-f1c9-4e66-9fd5-f4073997361d · outbound

This paper cites [Touvron et al., 2023] Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, et al.

Leveraging Large Language Models for Active Merchant Non-player Characters [Touvron et al., 2023] Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, et al

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.340354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ccd81f57-573e-4a58-8755-f535bb728a05 · outbound

This paper cites Leveraging the opt large language model for sentiment analysis of game reviews.

Leveraging Large Language Models for Active Merchant Non-player Characters Leveraging the opt large language model for sentiment analysis of game reviews

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.324557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c24edf51-a153-4954-8e5e-bfce77be324d · outbound

This paper cites Active example selection for in-context learning.

Leveraging Large Language Models for Active Merchant Non-player Characters Active example selection for in-context learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.308120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62d00f83-998f-4ebd-8fa2-88562d2fa866 · outbound

This paper cites Conversational interactions with npcs in llm-driven gam- ing: Guidelines from a content analysis of player feed- back.

Leveraging Large Language Models for Active Merchant Non-player Characters Conversational interactions with npcs in llm-driven gam- ing: Guidelines from a content analysis of player feed- back

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.765930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edd141e1-7db9-4a4b-93b1-01bb921a229d · outbound

This paper cites Are LLMs effective negotiators? systematic evaluation of the multi- faceted capabilities of LLMs in negotiation dialogues.

Leveraging Large Language Models for Active Merchant Non-player Characters Are LLMs effective negotiators? systematic evaluation of the multi- faceted capabilities of LLMs in negotiation dialogues

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.609630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b73b120-3cb1-48e5-8c82-42400a12e6ed · outbound

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

Leveraging Large Language Models for Active Merchant Non-player Characters LoRA: Low-Rank Adaptation of Large Language Models

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-11T15:15:22.017994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7165d1a9-5dba-4c5b-b674-4dd3b3697103 · outbound

This paper cites Morris, and Zhou Yu.

Leveraging Large Language Models for Active Merchant Non-player Characters Morris, and Zhou Yu

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.356798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 776de4b9-d396-4e9a-b106-70580c3abaa7 · outbound

This paper cites Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques.

Leveraging Large Language Models for Active Merchant Non-player Characters Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.425020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ffc22dc-c73e-43c1-8f4e-65bf6b681efb · outbound

This paper cites Exploring the value of purchasing online game items.

Leveraging Large Language Models for Active Merchant Non-player Characters Exploring the value of purchasing online game items

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.441733Z

Source-reported events for the cited work

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Observation 4a6cc3fc-fa0c-472f-8e43-4b071948e425 · outbound

This paper cites [Lewis et al., 2020] Patrick Lewis, Ethan Perez, Aleksan- dra Piktus, Fabio Petroni, Vladimir Karpukhin, et al.

Leveraging Large Language Models for Active Merchant Non-player Characters [Lewis et al., 2020] Patrick Lewis, Ethan Perez, Aleksan- dra Piktus, Fabio Petroni, Vladimir Karpukhin, et al

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.580033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4399e195-c90a-4fc1-8517-9204f7843b46 · outbound

This paper cites Jacobs, Michael Rubinstein, Mohit Bansal, and Nataniel Ruiz.

Leveraging Large Language Models for Active Merchant Non-player Characters Jacobs, Michael Rubinstein, Mohit Bansal, and Nataniel Ruiz

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.564314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c5f0bf06-d091-4d2b-83fe-67c658ff19dd · outbound

This paper cites Assistive large language model agents for socially-aware negotiation dialogues.

Leveraging Large Language Models for Active Merchant Non-player Characters Assistive large language model agents for socially-aware negotiation dialogues

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.655197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5171c98d-ebd3-4ee4-8db3-d12a897a4913 · outbound

This paper cites Harnessing earnings re- ports for stock predictions: A qlora-enhanced llm ap- proach.

Leveraging Large Language Models for Active Merchant Non-player Characters Harnessing earnings re- ports for stock predictions: A qlora-enhanced llm ap- proach

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.488856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a420ebdc-e713-4637-9027-89f676737de2 · outbound

This paper cites Exploring presence in interactions with llm-driven npcs: A comparative study of speech recognition and dialogue options.

Leveraging Large Language Models for Active Merchant Non-player Characters Exploring presence in interactions with llm-driven npcs: A comparative study of speech recognition and dialogue options

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.795681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d27cca80-6a46-4a92-b8e2-4f647e4d4f09 · outbound

This paper cites Quantifying memorization across neu- ral language models.

Leveraging Large Language Models for Active Merchant Non-player Characters Quantifying memorization across neu- ral language models

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:15:22.810715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 2062832f-dbf6-4364-9295-47e7c66aff2a · inbound

State-Inference-Based Prompting for Natural Language Trading with Game NPCs cites this paper.

State-Inference-Based Prompting for Natural Language Trading with Game NPCs Leveraging Large Language Models for Active Merchant Non-player Characters

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:52:41.978409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.