Paper Citation Record · LEDGER

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.15770.

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

pith.paper-citation-record.v1
2507.15770 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:28:37.018623Z

measured 27 of 27 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

27 of 27 outbound references displayed

verified exact0
verified fuzzy11
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4b6692c-68f6-431e-89d4-d9163d0e198e · outbound

This paper cites Analysis and controlling of manufacturing service ecosystem: A research framework based on the parallel system theory,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Analysis and controlling of manufacturing service ecosystem: A research framework based on the parallel system theory,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:34.282053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9264da-9bfe-463b-a6f6-c7f2473cb3f6 · outbound

This paper cites Chatgpt chats on computational experiments: From interactive intelligence to imaginative intelligence for design of artificial societies and optimization of foundational models,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Chatgpt chats on computational experiments: From interactive intelligence to imaginative intelligence for design of artificial societies and optimization of foundational models,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:34.332485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4370f036-c992-4ea8-a74d-2a426d5e9cf0 · outbound

This paper cites Com-putational experiments: Past, present and perspective,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Com-putational experiments: Past, present and perspective,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:39.295748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cf92107-5dea-445d-a853-0be6cb71b966 · outbound

This paper cites Research roadmap of service ecosystems: A crowd intelligence perspective,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Research roadmap of service ecosystems: A crowd intelligence perspective,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:34.536475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab92b85-565f-4401-abab-1c86fcdd9ec8 · outbound

This paper cites Ai agency vs. human agency: understanding human–ai interactions on tiktok and their implications for user engage- ment,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Ai agency vs. human agency: understanding human–ai interactions on tiktok and their implications for user engage- ment,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:39.060282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c6153b7-98be-4d7d-a00c-48beac2810fc · outbound

This paper cites Computational experiments for complex social systems: Experiment design and generative explanation,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Computational experiments for complex social systems: Experiment design and generative explanation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:34.746872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc10542-8932-4b61-b91b-e962d3ff65e9 · outbound

This paper cites Computational experiments: A new analysis method for cyber-physical- social systems,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Computational experiments: A new analysis method for cyber-physical- social systems,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:34.866401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f289c7-162f-454a-a13b-210562b0ef7b · outbound

This paper cites an unresolved cited work.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:28:38.876225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bea26b4f-86d7-41dd-9bda-3de3d1233e97 · outbound

This paper cites A theory of fads, fashion, custom, and cultural change as informational cascades,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining A theory of fads, fashion, custom, and cultural change as informational cascades,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:38.667065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 249a5cce-be03-43c5-9be9-7f45c66b370d · outbound

This paper cites Analyzing developmental trajectories of distinct but related behaviors: a group-based method.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Analyzing developmental trajectories of distinct but related behaviors: a group-based method

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:38.519278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc70d7c5-1183-4592-874b-96dcae21fbc3 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Chain-of-thought prompting elicits reasoning in large language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:35.265268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb85576d-3701-4c99-9981-956d8eaeaa70 · outbound

This paper cites Finding emergence in data by maximizing effective information,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Finding emergence in data by maximizing effective information,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:38.397156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation daf8aff2-f52b-4c80-a59a-0433ea6c32bb · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Generative agents: Interactive simulacra of human behavior,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:35.478769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca4db32-3e4c-4398-aed7-7ecf85046676 · outbound

This paper cites Conceptualizing value: a service-ecosystem view,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Conceptualizing value: a service-ecosystem view,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:38.257497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdf7ffb1-e85f-4aa5-a47e-657bff6e1df4 · outbound

This paper cites How does innovation emerge in a service ecosystem?.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining How does innovation emerge in a service ecosystem?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:38.076317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2bd658a-43e6-4921-9efd-461a75344434 · outbound

This paper cites Heteropathic versus homopathic resource integration and value co-creation in service ecosystems,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Heteropathic versus homopathic resource integration and value co-creation in service ecosystems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:37.838347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb057ef9-2cdc-41d5-91f1-af1b4c0088f1 · outbound

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Scaling Large Language Model-based Multi-Agent Collaboration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:35.942566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8386aa-52e4-4664-a014-df1dd2ebb669 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining React: Synergizing reasoning and acting in language models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.049113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489f0e80-311e-4ec0-b0e4-7491e8e1eae7 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Tree of thoughts: Deliberate problem solving with large language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.174798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2187a8a9-a35f-454c-8646-0ba8750cd3ca · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.297726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bd1f57-8fba-4393-93c4-8bdec8c115ca · outbound

This paper cites Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.398442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b851257e-76a3-4ed4-bf1a-2277169a0d6e · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Graph of thoughts: Solving elaborate problems with large language models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.484030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aa584ea-a667-422a-83cb-da3b950eade6 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.612925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a374e0b-3d7d-4b54-87e7-f64248c20fdf · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre- trained transformers,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Minilm: Deep self-attention distillation for task-agnostic compression of pre- trained transformers,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:36.713803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e88a59-3647-403e-8da9-2dbe146b8f58 · outbound

This paper cites The online-to-offline (o2o) food delivery industry and its recent development in china,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining The online-to-offline (o2o) food delivery industry and its recent development in china,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:37.648071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7e56681-94f7-4632-a464-39697a0e59cd · outbound

This paper cites A review of involution and its psychological interpretation,.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining A review of involution and its psychological interpretation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:37.428053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edcd8009-49ab-47c0-951d-3162e19ddd71 · outbound

This paper cites Economic backwardness in historical perspective (1962),.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Economic backwardness in historical perspective (1962),

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:28:37.287940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.