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Paper Citation Record · LEDGER

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs

As of 21 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2507.14785.

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

pith.paper-citation-record.v1
2507.14785 v2

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:55:56.563517Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:06:21.268179Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved2
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65c85192-dce0-4ca6-b634-7547c0c7b037 · outbound

This paper cites Altman, J.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Altman, J

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T03:57:03.691867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:9cdcfde372d72396a3640b20313152c578505601196ef24a64019e84719ec3b8

Observation 94cb46d9-d7b6-407c-99b4-ce207eeb07f4 · outbound

This paper cites an unresolved cited work.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Unresolved cited work

Reference 2

Resolution
malformed identifier
raw_fallback, observed 2026-05-19T03:57:03.695085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:3cfccd315b7c736aa3b9a154898e981d502d1a47cf84f6db9bb511f2067191f4

Observation 9b7790b7-f022-4a6e-9adb-aec17c2f7a0c · outbound

This paper cites Domashova and N.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Domashova and N

Reference 3

Resolution
malformed identifier
raw_fallback, observed 2026-05-19T03:57:03.698388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:116ce47ee1f5a3a0c953a287beba426d95c5406c38be4c4887f37a24bb5dc815

Observation edfc6670-6f87-4658-9afe-279e5059932b · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:57:02.959443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:0d7057e8b05770d282019e08abd973abedeb0195efcbd3ad96524d4ccf9f288e

Observation 9a59de14-0470-4704-9887-1075467541e6 · outbound

This paper cites an unresolved cited work.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-19T03:57:03.701539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:81e219f34f07a1870a7fdffad7d8f2c78224cca455f4391f83a71890f91db7e7

Observation d980623e-6afb-4327-9a31-4134a0b0246a · outbound

This paper cites Parcham, M.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Parcham, M

Reference 6

Resolution
malformed identifier
doi_truncated, observed 2026-05-19T03:57:02.153762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:05393d8b30322d19d3907f2565eaf440675a6547180e868417c9e6ce88b5158d

Observation 46677717-2709-41ed-9b07-88c48bdf9819 · outbound

This paper cites Masset, R.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Masset, R

Reference 7

Resolution
malformed identifier
doi_truncated, observed 2026-05-19T03:57:02.158730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:e0a150571ca90356b9f84b2537a25be5203056541fd9c43ffd214416ccb4b645

Observation b6d1dd8c-74d0-4b9c-8f59-55420f812f2c · outbound

This paper cites an unresolved cited work.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-19T03:57:03.704746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:841c38a70dd5805de3246591c8196663b7b1ff7a9d804c5c0beb4488fe50a27a

Observation be0bc078-97a6-4fd8-9512-ecb922c0078e · outbound

This paper cites Let Your Graph Do the Talking: Encoding Structured Data for LLMs.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Let Your Graph Do the Talking: Encoding Structured Data for LLMs

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:57:02.964867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T03:55:56.563517Z digest=sha256:21a53e9875736199c416239e26a1bb24a3437ce36f1ab1ec261499e31239eb94

Pith citing papers

Observation cd318301-4d26-4762-8215-0ac23ae52cc7 · inbound

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows cites this paper.

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T07:06:21.268179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:06:21.268179Z digest=sha256:93bb46935bff8db8c653d8b54d4c4ccce2da859f04732cfa437cd67fecaa7559