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Paper Citation Record · LEDGER

Building crypto portfolios with agentic AI

As of 21 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.559850Z digest=sha256:5989f899e6b1aa745f25f0a4771075698303e18ba754ad5e214f0ec6eb00b2a8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.566181Z digest=sha256:9754b423e8cbe71051a87123f181eeeaa77a19e6cde44210a7f9187667b5e68b

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=sha256:8586166a79d131265fe9f48f5368a8f2446f2b9f9f7733752e6219a3ea6801cb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.573627Z digest=sha256:7d816c7a81933225d30617600f0bb5d034e0b8d7d5949aefa066ff4dd0c95db0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.577207Z digest=sha256:225532fa9ac7ed461a9b0ebd7a11f25631f9a54fe66f671f08718de395fdb3ca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.584702Z digest=sha256:d6a9e0ed669eaf4a69f3f51fd69f273c55527fb39bf887d11eab82e0670bb6b0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.588676Z digest=sha256:05e4b80968969016dcfe3f63c52f19afbe1fef4ef02123beed1d91080eb73235

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:f8473cd4c44c9a18968d8a3c381d7b2deeb68dfec5c0ee09f7d654f19b858037

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.599067Z digest=sha256:1219135c21a2b7e111977e5db3aa8585534499af02db58b7820d75dae599fff5

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:be1a9ee1e27e308659260e886ee5bb5919ac4984608af3b4b483ec3c16098722

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.608081Z digest=sha256:7f0d546fc0cd26c6dc0678018b07583acee99ecf71ffbdaa867a637262b1394a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:14:06.611247Z digest=sha256:81454fda73a71e4c4a431ce2f214e8864df40bbae0b5733f9cf4690b01d5737c

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=sha256:6674d7c34210b0f9eb91ca2b66df4a1075cf5ebd5d7ccff6d4a25103117bf790

Pith citing papers

No inbound Pith citation observations are available.