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Paper Citation Record · LEDGER

Send to which account? Evaluation of an LLM-based Scambaiting System

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2509.08493.

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

pith.paper-citation-record.v1
2509.08493 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:11:46.344058Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 723c1b1f-551e-42ed-a5cd-48de46835fd8 · outbound

This paper cites New FTC data show big jump in reported losses to fraud: $10 billion in 2023,.

Send to which account? Evaluation of an LLM-based Scambaiting System New FTC data show big jump in reported losses to fraud: $10 billion in 2023,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.647570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.257950Z digest=sha256:5e1d87293bfba2681652fff86149ff90fa9c82372ec358cfd7c0d1aab19ee4f2

Observation a2a2addf-2bae-470d-873c-64e046cf0bfb · outbound

This paper cites Report links chatgpt to 1265% rise in phishing emails,.

Send to which account? Evaluation of an LLM-based Scambaiting System Report links chatgpt to 1265% rise in phishing emails,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.630197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.264612Z digest=sha256:4c401570257395066c17a9745639d5c88b22db05a0320d0d22bdd91a49616d0f

Observation 432eb1df-3ce3-4ecd-abfc-0a4d77120b8a · outbound

This paper cites Ai tools such as chatgpt are generating a mammoth increase in mali- cious phishing emails,.

Send to which account? Evaluation of an LLM-based Scambaiting System Ai tools such as chatgpt are generating a mammoth increase in mali- cious phishing emails,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.612114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.270105Z digest=sha256:e608325536340ad98fe36a5a0143aeb47d39886c3030b8b0329b54f24b95db7f

Observation 4543bc5f-1c13-468d-95ca-993b25d75b77 · outbound

This paper cites Discussion paper: Ex- ploiting llms for scam automation: A looming threat,.

Send to which account? Evaluation of an LLM-based Scambaiting System Discussion paper: Ex- ploiting llms for scam automation: A looming threat,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.594110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.275325Z digest=sha256:beb3e09a0ec55989f0e0d87b45a20533eaf5bc2a69511b3f23acf8e06ca0025c

Observation e7ccc9c7-ee1b-44b7-8a04-936c100902ab · outbound

This paper cites Abusegpt: Abuse of generative ai chatbots to create smishing campaigns,.

Send to which account? Evaluation of an LLM-based Scambaiting System Abusegpt: Abuse of generative ai chatbots to create smishing campaigns,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.576256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.280869Z digest=sha256:d34fd01adf3ca64b0219641f53828b6d0f0e17f65ad643f64cd45ae7055835cf

Observation b58af6e6-1330-4e33-8ad9-837a9440cdb5 · outbound

This paper cites Money mules,.

Send to which account? Evaluation of an LLM-based Scambaiting System Money mules,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.560254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.286449Z digest=sha256:8d13af7a1a0b6e89fe261176b591558fca5952c825dac65baccab79e84bac49d

Observation d9e7cb35-c856-4d52-8328-88639ca4c36b · outbound

This paper cites Phishing and money mules,.

Send to which account? Evaluation of an LLM-based Scambaiting System Phishing and money mules,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.543598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.291720Z digest=sha256:3660a41fda123a94e750f0a4683816e0607141e615ccac328d78d5ce70882b0d

Observation f476b0a9-8ac3-401c-b58a-3bcb9c6113bc · outbound

This paper cites A framework for analysis attackers’ accounts,.

Send to which account? Evaluation of an LLM-based Scambaiting System A framework for analysis attackers’ accounts,

Reference 8

Resolution
verified exact
doi, observed 2026-08-15T16:11:46.382996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.297751Z digest=sha256:84a83ddfc91a2987de04272ec2a374191ad65a9e499aa4312b0ff28f68e7999f

Observation 82df8f85-442d-40e6-8ab1-2ef8d7119d1d · outbound

This paper cites Prevention, detection, and reaction to cyber impersonation attacks,.

Send to which account? Evaluation of an LLM-based Scambaiting System Prevention, detection, and reaction to cyber impersonation attacks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.528592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.303567Z digest=sha256:ea42858d5bd37aa60346e0fe5551656374f603096c30baf320cd86963fa3ffb9

Observation 802d62ce-244e-4b6d-b9cc-299abb08b8b5 · outbound

This paper cites Bot wars evolved: Orchestrating competing llms in a counterstrike against phone scams,.

Send to which account? Evaluation of an LLM-based Scambaiting System Bot wars evolved: Orchestrating competing llms in a counterstrike against phone scams,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.512357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.308385Z digest=sha256:50d020eb01279821ffa85c9309e6543ce4e50f68423a1d0a334fbe49dce96f39

Observation cdfeaf36-1a5d-4a2d-805f-72410d1833ea · outbound

This paper cites Puppeteer: Leveraging a large language model for scambaiting,.

Send to which account? Evaluation of an LLM-based Scambaiting System Puppeteer: Leveraging a large language model for scambaiting,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.495796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.313259Z digest=sha256:48210a311e80dbcd903fa800bc0e112576ad2a9618fa61ac3a68f3597842edf2

Observation 3d98c737-f4f3-4b05-8027-ba5d9e4a5cd6 · outbound

This paper cites Re:scam – AI tool to waste scammers’ time (official site),.

Send to which account? Evaluation of an LLM-based Scambaiting System Re:scam – AI tool to waste scammers’ time (official site),

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.478888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.318165Z digest=sha256:351e7ea97cbc8eea7b706d63080ac6872b522946ba2fb332012d712c470063f8

Observation c10cbb3d-4f8e-46d7-8687-6e2c1f5c3bcb · outbound

This paper cites Re:scam2.0 ai email engagement bot,.

Send to which account? Evaluation of an LLM-based Scambaiting System Re:scam2.0 ai email engagement bot,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.463441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.323942Z digest=sha256:309314aed4cb90d00085f7ac0606f376a784ef3c88d573971cd2b05b1d85c547

Observation 299238b4-299b-4027-8149-3e4214b13063 · outbound

This paper cites Send scam emails to this chatbot and it’ll waste their time for you,.

Send to which account? Evaluation of an LLM-based Scambaiting System Send scam emails to this chatbot and it’ll waste their time for you,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.447600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.328990Z digest=sha256:971ccf4c147b4268e28c6cd5d5d0bc4d7d867c07e014ed2a67be1c646d4517bd

Observation 4e0f69cd-3734-47ce-866a-ec95cd97e430 · outbound

This paper cites ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams.

Send to which account? Evaluation of an LLM-based Scambaiting System ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T16:11:46.334141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:11:46.334141Z digest=sha256:c2f9b91834e3e34e6375e51d104f5dc6555dc16f574b1c8628a95d54db773c04

Observation 4744ab0b-aff1-4be8-a588-d6a9f1df3689 · outbound

This paper cites Into the gray zone: The private sector and active defense against cyber threats,.

Send to which account? Evaluation of an LLM-based Scambaiting System Into the gray zone: The private sector and active defense against cyber threats,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:11:46.432309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.339593Z digest=sha256:0311a11238ea874c6a38f2eebba50ddd378a7ddfce8157e807a2fcceb9cbfb98

Observation 64447641-12d0-4984-87ec-368a75ac9e6f · outbound

This paper cites The enterprise strikes back: Conceptualizing the hackbot-reversing social engineering in the cyber defense context.

Send to which account? Evaluation of an LLM-based Scambaiting System The enterprise strikes back: Conceptualizing the hackbot-reversing social engineering in the cyber defense context

Reference 17

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T16:11:46.416593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:11:46.344058Z digest=sha256:07259f125218bf60eba8173d802488c1316d494d67d3954f3d65a529abae5e74

Pith citing papers

No inbound Pith citation observations are available.