Pith. sign in

Paper Citation Record · LEDGER

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2501.18177.

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

pith.paper-citation-record.v1
2501.18177 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:29:05.599175Z

measured 17 of 17 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:24.846435Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:06:32.866727Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 304d322c-30a1-44f0-bc98-4efcef3d5813 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.898078Z

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=2026-08-10T00:29:05.520777Z digest=sha256:e37671f50380683be3de3eb4b20e02f6104246d272c1de17917dad12f7deeed3

Observation 109503e2-464a-4a85-8a4f-ff7bb36f7114 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.696227Z

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=2026-08-10T00:29:05.583822Z digest=sha256:e8d03afd04482ebf1238e73d444f3e00e23be6b30761e602e87eea1f4f5286e2

Observation 92f3e077-2c50-4adc-8c05-af231d60543c · outbound

This paper cites Trott, S.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Trott, S

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:29:05.662302Z

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=2026-08-10T00:29:05.593627Z digest=sha256:70cbe56794cb9eb5a19a3236f1c90af6008e9a3c57174c9f3af38a41c107ed05

Observation c67f2251-291c-4bfc-bebb-ec895d3cca79 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.850634Z

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=2026-08-10T00:29:05.538785Z digest=sha256:60e07e0a3e072e3148383d184f237be0f27c088b53e8903766f7a0deb5e4056a

Observation 117aa6e9-3d0f-44ae-b979-496f386d0ba8 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.882984Z

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=2026-08-10T00:29:05.526261Z digest=sha256:a90f676c5f491d4ce3f06c7fa1e426f2f03b5137f97cb26e1f541aee6f6f6387

Observation 30960049-a1e3-453a-bc37-8ca9ec0457e5 · outbound

This paper cites Busoniu, G.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Busoniu, G

Reference 221

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:29:05.799384Z

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=2026-08-10T00:29:05.554752Z digest=sha256:41d98b1f1fc97d94bb17ac80caf960e8fae34bd9ebbcff8bb5fb092c9e732745

Observation d67984d5-0e50-4b90-8720-7ef5a95c5e3e · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 367

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.867012Z

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=2026-08-10T00:29:05.531598Z digest=sha256:0f8af8b48af631fb4324fa84f44cb3349e0a286928e9e7cb987ee66bbb47476e

Observation 888a26a2-d1ba-405a-95d1-f8cbac900a9d · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 628

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.713342Z

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=2026-08-10T00:29:05.579755Z digest=sha256:0fe41a04e3e06577fa402857cb408f5f1dfcf010c086fc975da9fb28b0ee842c

Observation 2148224e-2551-4041-8296-e390dc6b49e4 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 887

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.678510Z

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=2026-08-10T00:29:05.588678Z digest=sha256:138c9f4b4b38357dcc6c72f8b0631db5b5e0835b2cb2a30196b914f15e8862a5

Observation 7186d34e-7bf5-455d-a0ca-827c58c9e029 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 1030

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.767191Z

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=2026-08-10T00:29:05.564772Z digest=sha256:9069952cbee89a7b70048f638b35b92a726931153c330993f73f851dbac19b1a

Observation e8912f93-806e-4436-89e7-49d91e6144dd · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 2005

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.815997Z

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=2026-08-10T00:29:05.549448Z digest=sha256:1eeb6dc1668727561faec40cca91864e10bf8c6344588efc30e7f14ac205dccc

Observation 52feb60b-cc2d-417c-9be1-741adea3aae4 · outbound

This paper cites Gyomai, G., C.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Gyomai, G., C

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:29:05.783698Z

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=2026-08-10T00:29:05.559897Z digest=sha256:cd1b5cba2f341dc82bd1152130378ed76638dda07969be7bf6f763827bc26612

Observation f60d3d9c-25d5-4add-b69c-8194e8fa6bb7 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.645671Z

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=2026-08-10T00:29:05.599175Z digest=sha256:371ebd8f3dcc7178a76a457f88e3acc6a3e65ba2ac79a17575850c21c37fd0af

Observation 52e2fe92-367b-4522-99f0-2bc45010fd9b · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 5136

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.750940Z

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=2026-08-10T00:29:05.569421Z digest=sha256:7064f27d5319a940f759072f5c5b1fae531dbf986bd7bad08bc423b25ed0943d

Observation 88d8c537-1b2a-43ee-b2c4-7d1d849d1be7 · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 9278

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.834766Z

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=2026-08-10T00:29:05.543891Z digest=sha256:0aaab852329d6182aa9632991de275b72f7a87f3ed962a914fe24b9e66315f99

Observation ce40058c-0d69-4c79-8158-5b8614541bfe · outbound

This paper cites an unresolved cited work.

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation Unresolved cited work

Reference 9603

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:29:05.732569Z

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=2026-08-10T00:29:05.574819Z digest=sha256:a9b7a1abcced184d3be40b73367e4262ca67bb88c7010d992aad251c9db3f6b4

Pith citing papers

Observation 6046f0a2-ce3f-42a3-9ec0-a638152b5b75 · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:06:32.997747Z

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=2026-08-07T12:06:24.846435Z digest=sha256:7ad906482fe4ad00eb0c0299768cbf2ba5e7ddc65418d212b035b75e5e6ceac3