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Paper Citation Record · LEDGER

Building crypto portfolios with agentic AI

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.20468.

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

pith.paper-citation-record.v1
2507.20468 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:06.614605Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be3dea58-34c7-4864-8d81-67295eb49100 · outbound

This paper cites SSRN Electronic Journal (2021).

Building crypto portfolios with agentic AI SSRN Electronic Journal (2021)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:14:06.776462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.559850Z digest=sha256:fe9cad390c5a246624fad4e85a61f64f8e8be59412e39b201d74062e17c7c5a1

Observation 1ab11032-c9dd-45d0-9717-1e853fbcb6fd · outbound

This paper cites Advances in Economics Management and Political Sciences 90, 91–97 (2024).

Building crypto portfolios with agentic AI Advances in Economics Management and Political Sciences 90, 91–97 (2024)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:14:06.766905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.566181Z digest=sha256:9a5e1fefb511fbfb50e47d05bd7101eb705aa840bc729e4ccb2caf97f13055a4

Observation 98e90b6c-c796-4f0d-8368-97afcd646ca2 · outbound

This paper cites Empirical Asset Pricing with Large Language Model Agents.

Building crypto portfolios with agentic AI Empirical Asset Pricing with Large Language Model Agents

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.569734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:14:06.569734Z digest=sha256:9c92bc626601e675fb8a581d425d57c019c613992056ec80da8a6570bae0fb1e

Observation 8ee49f88-9db8-45f9-8b62-c0f78a29bf1d · outbound

This paper cites Algorithms 17(12), 570 (2024).

Building crypto portfolios with agentic AI Algorithms 17(12), 570 (2024)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:14:06.757651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.573627Z digest=sha256:23b0b61f84c527eaba5cad0c5a28cf159d886d6c7b714360181b2f97a3567adf

Observation 0e2bb79f-1873-449e-922a-0532ad25d0d5 · outbound

This paper cites Physica A: Statistical Mechanics and its Applications 655, 130176 (2024).

Building crypto portfolios with agentic AI Physica A: Statistical Mechanics and its Applications 655, 130176 (2024)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:14:06.748201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.577207Z digest=sha256:ae367f27810955dd2ad8bad97809dedd1d333ee203f894ea4f98eab0ce5c374c

Observation e316aae4-5fbd-4986-9470-7706158c75ee · outbound

This paper cites rep., National Bureau of Economic Research (2023).

Building crypto portfolios with agentic AI rep., National Bureau of Economic Research (2023)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:14:06.738898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.584702Z digest=sha256:e8934e14aed96e308a5b032e5634bc05b8aaefe8121597c5db9e4c65fc2377b4

Observation 89d328c6-f7d0-40cf-a463-b698bc17322f · outbound

This paper cites MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System.

Building crypto portfolios with agentic AI MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:14:06.710072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.588676Z digest=sha256:9f5efa0e20611ea7ab5e69489b7bb56b10067b0076e29328d47a3da08ef498a4

Observation 5a27de52-1216-49f2-9367-7a307f489451 · outbound

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

Building crypto portfolios with agentic AI The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.595192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:14:06.595192Z digest=sha256:b7ab979d75e688d1463474ba79e66e39f44f664719a659bd45c9a0c3ef353186

Observation 9ef9cfa5-97fb-4ee9-a156-0fd7748b9e58 · outbound

This paper cites Explainable AI in Credit Risk Management.

Building crypto portfolios with agentic AI Explainable AI in Credit Risk Management

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:14:06.682606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.599067Z digest=sha256:61fa983199d66a4845f7c4bcf78a16d1f33a2a461e08d8286cf7044955c902f7

Observation 650d9a0c-0d9f-4f6c-ae07-58e1133f2525 · outbound

This paper cites Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework.

Building crypto portfolios with agentic AI Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.604780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:14:06.604780Z digest=sha256:7c38006fdee2dd764cb8206b5e451610174675654e49c60ff29eb7f50839f3ca

Observation 0fafbd82-55ec-4c1e-8f92-d997e8e2ab40 · outbound

This paper cites Best Practices for Responsible Machine Learning in Credit Scoring.

Building crypto portfolios with agentic AI Best Practices for Responsible Machine Learning in Credit Scoring

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:14:06.655374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.608081Z digest=sha256:1bfab03f22b624d1186b97d2d6a0c0afb27b3e259ed9b3b6e066ab704bdd272b

Observation d093b30e-39cc-4979-ab3e-bc695b4d8ddb · outbound

This paper cites AAAI Conference on Artificial Intelligence (2025).

Building crypto portfolios with agentic AI AAAI Conference on Artificial Intelligence (2025)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:14:06.729118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:14:06.611247Z digest=sha256:3903477703e24f75ffc516fd8368e4e2701576e913f60eb6fd13bfc6ba4d7103

Observation b85c2c0b-1472-4235-a670-6307e9b8e488 · outbound

This paper cites When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.

Building crypto portfolios with agentic AI When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.614605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:14:06.614605Z digest=sha256:f1926f446405b56bc13daa010aa05c22d98ba5a4bf8836a83eabe98e21dddb00

Pith citing papers

No inbound Pith citation observations are available.