Paper Citation Record · LEDGER

A Mathematical Theory of Discursive Networks

As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2507.06565.

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

pith.paper-citation-record.v1
2507.06565 v5

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:24.017165Z

measured 60 of 60 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:24.017165Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

59 of 59 outbound references displayed

verified exact10
verified fuzzy11
unresolved33
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External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 1d9d2f38-7d14-45d6-a09c-5c7e16408288 · outbound

This paper cites Attention Is All You Need.

A Mathematical Theory of Discursive Networks Attention Is All You Need

Reference 1

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Source-reported events for the cited work

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Observation 30624c7e-15a5-4bc4-a763-d1e8e5772295 · outbound

This paper cites Language Models are Few-Shot Learners.

A Mathematical Theory of Discursive Networks Language Models are Few-Shot Learners

Reference 2

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Source-reported events for the cited work

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Observation 34a38bbe-f6b1-4165-9767-ccde7741ead3 · outbound

This paper cites Survey of hallucination in natural language generation.

A Mathematical Theory of Discursive Networks Survey of hallucination in natural language generation

Reference 3

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Source-reported events for the cited work

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Observation fef1d7ec-6940-489b-8f6e-d5aa95acc4fc · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

A Mathematical Theory of Discursive Networks On faithfulness and factuality in abstractive summarization

Reference 4

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Observation 46167e71-0a4f-451f-9f17-c2265b5b660d · outbound

This paper cites Ethical and social risks of harm from Language Models.

A Mathematical Theory of Discursive Networks Ethical and social risks of harm from Language Models

Reference 6

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Source-reported events for the cited work

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Observation 8a69ce24-e4a7-4d93-86b7-d97b1c1c168b · outbound

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

A Mathematical Theory of Discursive Networks Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 7

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Observation d211d5f9-91af-453c-a187-7c42ecea5eb9 · outbound

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

A Mathematical Theory of Discursive Networks Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 8

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Source-reported events for the cited work

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Observation a2d1fed4-da77-4844-b18a-70e70e7afbe0 · outbound

This paper cites Large language models in medicine.

A Mathematical Theory of Discursive Networks Large language models in medicine

Reference 9

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Source-reported events for the cited work

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Observation d0b43e8b-6fbd-4de6-8a46-d8f883a65ec0 · outbound

This paper cites ChatGPT utility in healthcare education, research, and practice: sys- tematic review on the promising perspectives and valid concerns.

A Mathematical Theory of Discursive Networks ChatGPT utility in healthcare education, research, and practice: sys- tematic review on the promising perspectives and valid concerns

Reference 10

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Source-reported events for the cited work

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Observation f682a274-4437-454e-9094-6f3cd42927a9 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

A Mathematical Theory of Discursive Networks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 11

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Observation f9f4d88f-7416-4b51-909a-c9f90bc2b880 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

A Mathematical Theory of Discursive Networks Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 12

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Source-reported events for the cited work

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Observation 4a3c236d-41db-42e6-9f87-96d127181efe · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

A Mathematical Theory of Discursive Networks TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 13

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Observation c5d2a7b3-76ca-464c-a9f5-587b1fd3ca29 · outbound

This paper cites Truthful AI: Developing and governing AI that does not lie.

A Mathematical Theory of Discursive Networks Truthful AI: Developing and governing AI that does not lie

Reference 14

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Source-reported events for the cited work

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Observation 2f4288ea-f9b3-4618-be84-036142390acc · outbound

This paper cites Excavating AI: The Politics of Images in Machine-Learning Training Sets.

A Mathematical Theory of Discursive Networks Excavating AI: The Politics of Images in Machine-Learning Training Sets

Reference 15

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Observation a724b13c-0e6b-4d30-b7b7-3d78e4b37014 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

A Mathematical Theory of Discursive Networks A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 16

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Observation 56c2d156-ecd7-45b9-a733-2594d1b1f19c · outbound

This paper cites Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation.

A Mathematical Theory of Discursive Networks Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 17

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Observation 67053539-6cde-43cb-b8b8-03ffc49d67ba · outbound

This paper cites Investigating the Robustness of Deductive Reasoning with Large Language Models.

A Mathematical Theory of Discursive Networks Investigating the Robustness of Deductive Reasoning with Large Language Models

Reference 18

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Observation 872d28cb-251d-4df4-b27e-809fa7104a68 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

A Mathematical Theory of Discursive Networks RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 19

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Observation dcd0e694-a4a1-49af-9266-68f74fc50a47 · outbound

This paper cites JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models.

A Mathematical Theory of Discursive Networks JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models

Reference 20

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Observation 08dd3f18-8368-4f5b-bd6f-9b7c9d55f861 · outbound

This paper cites Stanford, CA: Stanford University Press, 1957.

A Mathematical Theory of Discursive Networks Stanford, CA: Stanford University Press, 1957

Reference 21

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Observation f0e7709f-02ea-49cd-ab2e-151504709a8e · outbound

This paper cites Cambridge, UK: Polity Press, 2001.doi:10.1086/343211.

A Mathematical Theory of Discursive Networks Cambridge, UK: Polity Press, 2001.doi:10.1086/343211

Reference 22

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Observation 026411ab-43a2-447d-9a39-eab3e39438b5 · outbound

This paper cites Woddstock, NY: Overlook Books, 1974.url:https://lccn.loc.gov/73407323.

A Mathematical Theory of Discursive Networks Woddstock, NY: Overlook Books, 1974.url:https://lccn.loc.gov/73407323

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:08:27.334763Z

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Observation d5f2483b-2f04-4dcc-8c37-9f76e2f2f019 · outbound

This paper cites Living with Television: The Violence Profile.

A Mathematical Theory of Discursive Networks Living with Television: The Violence Profile

Reference 24

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Observation b8e1daa6-2868-4c3b-9cef-1fc0c7b55bd6 · outbound

This paper cites New York: Mc- Graw–Hill, 1964.

A Mathematical Theory of Discursive Networks New York: Mc- Graw–Hill, 1964

Reference 25

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Observation 57d62c90-099b-44e4-af6e-463697a3107d · outbound

This paper cites Herman and Noam Chomsky.Manufacturing Consent: The Political Econ- omy of the Mass Media.

A Mathematical Theory of Discursive Networks Herman and Noam Chomsky.Manufacturing Consent: The Political Econ- omy of the Mass Media

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:08:28.814232Z

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Observation b36d27a1-12c9-4823-9fa1-32e2a34acf55 · outbound

This paper cites New York: Harcourt Brace, 1951.

A Mathematical Theory of Discursive Networks New York: Harcourt Brace, 1951

Reference 27

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Observation 2c2adac3-4073-444d-a030-f12004855b97 · outbound

This paper cites New York: Knopf, 1965.

A Mathematical Theory of Discursive Networks New York: Knopf, 1965

Reference 28

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Observation a539ecbd-5576-4e73-9672-5ff5ce07cc62 · outbound

This paper cites Judgment under Uncertainty: Heuristics and Biases.

A Mathematical Theory of Discursive Networks Judgment under Uncertainty: Heuristics and Biases

Reference 29

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Observation db8acc70-db30-461a-bf55-3561b44d04fa · outbound

This paper cites The Case for Motivated Reasoning.

A Mathematical Theory of Discursive Networks The Case for Motivated Reasoning

Reference 30

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Observation db9a4ca6-5e60-4a49-afff-2bf59fad2869 · outbound

This paper cites Discourse Network Analysis: Policy Debates as Dynamic Networks.

A Mathematical Theory of Discursive Networks Discourse Network Analysis: Policy Debates as Dynamic Networks

Reference 31

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Observation 0517299a-d7f1-4e78-a5a2-40fbb1ad6629 · outbound

This paper cites Political Discourse Networks and the Conflict over Software Patents in Europe.

A Mathematical Theory of Discursive Networks Political Discourse Networks and the Conflict over Software Patents in Europe

Reference 32

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Observation cacf623c-e7d7-4d73-ba33-44f004e78256 · outbound

This paper cites Kittler.Discourse Networks 1800/1900.

A Mathematical Theory of Discursive Networks Kittler.Discourse Networks 1800/1900

Reference 33

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Observation ae101aa9-22e0-4a13-b038-8af2179345aa · outbound

This paper cites Automatic Detection of Generated Text Is Easiest When Humans Are Fooled.

A Mathematical Theory of Discursive Networks Automatic Detection of Generated Text Is Easiest When Humans Are Fooled

Reference 34

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Observation f6a8e027-5daa-47c5-bd17-1726284bfecd · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text.

A Mathematical Theory of Discursive Networks GLTR: Statistical Detection and Visualization of Generated Text

Reference 35

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Observation 50790a41-c744-4811-af95-0a5382e76111 · outbound

This paper cites Political Discourse on Social Media: Echo Chambers, Gate- keepers, and the Price of Bipartisanship.

A Mathematical Theory of Discursive Networks Political Discourse on Social Media: Echo Chambers, Gate- keepers, and the Price of Bipartisanship

Reference 36

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Observation 90013a66-459d-46a4-92d3-7cdf66620d81 · outbound

This paper cites Are AI-Generated Text Detectors Robust to Adversarial Perturbations?.

A Mathematical Theory of Discursive Networks Are AI-Generated Text Detectors Robust to Adversarial Perturbations?

Reference 37

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This paper cites A Practical Examination of AI-Generated Text Detectors for Large Language Models.

A Mathematical Theory of Discursive Networks A Practical Examination of AI-Generated Text Detectors for Large Language Models

Reference 38

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Observation 8530b27b-decd-4ba9-91d6-e33c5eee549d · outbound

This paper cites Can AI–Generated Text Be Reliably Detected?.

A Mathematical Theory of Discursive Networks Can AI–Generated Text Be Reliably Detected?

Reference 39

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Observation 72767b8c-d3f2-4aa3-854d-f630aecb6377 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

A Mathematical Theory of Discursive Networks The Curious Case of Neural Text Degeneration

Reference 41

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Observation fce2cd23-5e52-4e8b-bc64-b8e4627e8335 · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

A Mathematical Theory of Discursive Networks Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 42

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This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

A Mathematical Theory of Discursive Networks Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 43

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Observation 29919a2a-1170-4a9e-bf7f-d7ee090ecdb3 · outbound

This paper cites Language Models (Mostly) Know What They Know.

A Mathematical Theory of Discursive Networks Language Models (Mostly) Know What They Know

Reference 44

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Observation f7e060b3-86c2-4cb2-a04a-65eb4e080315 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

A Mathematical Theory of Discursive Networks On the Opportunities and Risks of Foundation Models

Reference 45

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This paper cites Augmented Language Models: a Survey.

A Mathematical Theory of Discursive Networks Augmented Language Models: a Survey

Reference 46

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Observation 4d6279b7-baaa-4816-8f9a-f6b7162633d3 · outbound

This paper cites Chain of Thought Prompting Elicits Reasoning in Large Lan- guage Models.

A Mathematical Theory of Discursive Networks Chain of Thought Prompting Elicits Reasoning in Large Lan- guage Models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:08:28.001545Z

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Observation 902b4551-cc14-4976-8319-944e098ea87d · outbound

This paper cites Training language models to follow instructions with human feedback.

A Mathematical Theory of Discursive Networks Training language models to follow instructions with human feedback

Reference 48

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Observation 37c2df4a-4cef-46ba-a93b-6b7e12d265fb · outbound

This paper cites Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.

A Mathematical Theory of Discursive Networks Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 49

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This paper cites ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer.

A Mathematical Theory of Discursive Networks ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer

Reference 50

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Observation 1bbc0a91-da29-46b4-a768-539c44149cfe · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

A Mathematical Theory of Discursive Networks Generative Agents: Interactive Simulacra of Human Behavior

Reference 51

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Observation 27c246b3-1bc8-4440-9465-870255bc274b · outbound

This paper cites The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support.

A Mathematical Theory of Discursive Networks The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support

Reference 52

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This paper cites Stigmergic epistemology, stigmergic cognition.

A Mathematical Theory of Discursive Networks Stigmergic epistemology, stigmergic cognition

Reference 53

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Observation ec735735-e822-4137-b9cc-64ad17a19c4b · outbound

This paper cites Towards Mitigating Hallucination in Large Language Models via Self- Reflection.

A Mathematical Theory of Discursive Networks Towards Mitigating Hallucination in Large Language Models via Self- Reflection

Reference 54

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Observation 182deb60-10fc-422f-a9d9-021c48c80f0d · outbound

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

A Mathematical Theory of Discursive Networks Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 55

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This paper cites A systematic review of research on the meaning, ethics and practices of authorship across scholarly disciplines.

A Mathematical Theory of Discursive Networks A systematic review of research on the meaning, ethics and practices of authorship across scholarly disciplines

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:08:27.669601Z

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Observation b8653477-b152-4594-b8bd-eb25d8c6967b · outbound

This paper cites Energy and Policy Consid- erations for Deep Learning in NLP.

A Mathematical Theory of Discursive Networks Energy and Policy Consid- erations for Deep Learning in NLP

Reference 57

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Observation 2d9c923c-ed48-4b54-9471-5c177dcc2055 · outbound

This paper cites On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?.

A Mathematical Theory of Discursive Networks On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Reference 58

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Observation e354361b-119e-46d1-bc65-e8b121bebcb5 · outbound

This paper cites Membership Inference Attacks Against Machine Learning Models.

A Mathematical Theory of Discursive Networks Membership Inference Attacks Against Machine Learning Models

Reference 59

Resolution: verified exact; doi, observed 2026-08-06T19:08:24.760314Z

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Observation 6fedb953-e4e1-49ed-9b4e-52a7cdfee69c · outbound

This paper cites Universal Adversarial Triggers for Attacking and Analyzing NLP.

A Mathematical Theory of Discursive Networks Universal Adversarial Triggers for Attacking and Analyzing NLP

Reference 60

Resolution: verified exact; doi, observed 2026-08-06T19:08:24.415245Z

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Observation 41d76df9-1313-49bf-aecd-6567328596c7 · outbound

This paper cites A Mathematical Theory of Discursive Networks.

A Mathematical Theory of Discursive Networks A Mathematical Theory of Discursive Networks

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:08:24.173348Z

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Pith citing papers

Observation 41d76df9-1313-49bf-aecd-6567328596c7 · inbound