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Paper Citation Record · LEDGER

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.06180.

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

pith.paper-citation-record.v1
2506.06180 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:45.165815Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 054294eb-1b56-40ea-aa04-e4c1304045b1 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:48.861014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:43.099174Z digest=sha256:8ab8dad04e3e8e51ce30b21cf12f877249d655dba45218fc821e47e65d661cd4

Observation 4b24734a-7db8-4600-bada-008509bfaa5c · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:48.624943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:43.165235Z digest=sha256:90d7efee83e6561ee8f6bf6f787f75f0f595cd15956fea9b27f8a13fdbc9bccd

Observation e6c65cb8-6e68-4c3c-8907-1a9cc90345f0 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:48.345550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:43.262990Z digest=sha256:38c371b8f3da02a37c80dc012b76d261e7434144dc2b4e9e1e7d0b621b3b51b0

Observation be99a21a-9212-47b3-833c-06a1451604a7 · outbound

This paper cites Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:43.370937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:43.370937Z digest=sha256:680ed16e6ded98bc23b6a9aad1744d7866ecb7ede62395f116357178d2b75bb0

Observation bee5e519-54fb-44e5-9d41-eaf0cf17dc3a · outbound

This paper cites The Llama 3 Herd of Models.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models The Llama 3 Herd of Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:43.460167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:43.460167Z digest=sha256:23e79c838e2faccdab4ac4fca1cd00566423f517293e3e770dcf061469801e17

Observation 61afadc2-2d22-4a24-86a2-0187c71d2521 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:48.015958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:43.553986Z digest=sha256:149dae562048a4d8bf06232f05028d6613db7b7e8cdf2631c146fa2779867359

Observation 6b31ba42-79b6-40be-91c9-552def7a51d4 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:47.644892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:43.633677Z digest=sha256:10b833edc370fd178f52064f82a290823e4100e8a8d64aafd7c35e1d13666392

Observation 184f7d57-246e-4f77-a73d-942a9892ec8e · outbound

This paper cites Large Language Models Are Reasoning Teachers.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Large Language Models Are Reasoning Teachers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:43.714754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:43.714754Z digest=sha256:a3e898ef764bca2185bca6a691ba9fd957c9ba16824566f83b46cd66c27dca6a

Observation e9872e0c-228a-486c-a557-9a0f99ecbbbb · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:43.827977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:43.827977Z digest=sha256:945ac26597717edb2a879c1dd334ca125771fe0f8845aed8f0f365f0be749260

Observation 882ca36a-935b-451e-974c-6e74c275230c · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:47.372953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:43.919819Z digest=sha256:6c39ab0b6b056ecd609d6e1c1612b1bbcc2abae272ac01cf9e6843cc5cd99948

Observation acce36a7-8f9a-4377-a1e7-033abdf9e51d · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:46.990909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.029384Z digest=sha256:de054a2b3f3f2a7e5199c5ba6cbd861c137358d60b5b80b95b9cc01da228e34c

Observation a4eb88a3-3ac9-4ae7-8297-bb9f40b8bade · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:46.665549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.155138Z digest=sha256:c8cf0b79c4a8e60c12b56c06237b542b1df2c419c6ef6e0baf9c3f95ce935e17

Observation f93debd5-9034-4772-aeb9-9a6835c40b0e · outbound

This paper cites Teaching Small Language Models to Reason.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Teaching Small Language Models to Reason

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:44.241250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:44.241250Z digest=sha256:1e072588c9fcb912212584cb8241e65b9df98294163f59bcd0943ec40e60b41b

Observation cd990b93-8e27-422e-a6c2-555f942256d5 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:46.453180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.332799Z digest=sha256:ab3b616c9bf2d509bbc475535ebe162b7781987c7cc14480ea63a51a5d802788

Observation f8bb91dc-1be0-4435-992f-02b102d32272 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:46.261119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.460384Z digest=sha256:7d4595b619d977665b78d2b50a7330a08bada6376439deb03a193be6e853afb3

Observation 03653a0a-a8f9-4921-9e93-61db01014597 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:46.097220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.542464Z digest=sha256:2cfff39e1031386fd03d19ad58cf9938725016e67db5b52522bd6173c7563ea9

Observation c5de0dd4-1ff2-4683-8b63-c2c2285e52af · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 17

Resolution
verified exact
doi, observed 2026-08-07T06:03:45.318868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.617207Z digest=sha256:813a3d828c3d2e1cc4d21165f6b4236298b6be6d301401387bf5a83057bf1b34

Observation b8cb0775-5717-460f-b88f-cd00dae99d77 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:44.704674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:44.704674Z digest=sha256:abd957693341c33b1db31716cf1db50b673ae0ec90767bb2c38978fdce5416fc

Observation 29f96893-ab87-4a13-9600-d1c624411995 · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:44.775341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:44.775341Z digest=sha256:c6aae88520dcc765700e506c54e3a149ef3f4c8093bc7b17f439162fe59fd7cd

Observation 39c4ce40-a60f-44a4-8901-36eaf7c64a69 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:45.938283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:44.858304Z digest=sha256:1e94cdaf535ab6942033b3be94f2abbe953ce0a15268cf20d06866d65df09fa8

Observation afc268d1-aa04-40b0-b073-abccaaa41720 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:44.942741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:44.942741Z digest=sha256:0fde5b888df902689a4d72e471381d4c75b19bfade89e8f511c8eeeb5839c4c0

Observation 270d76ea-bf2c-457a-ac73-9cfa04d11bd8 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:45.765980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T06:03:45.026430Z digest=sha256:ea9bdf79d42204065d4ec3b0942b0090a74c08819d0af4a1c947a2ffd30897de

Observation 824a0719-f888-4e97-8a87-71de2663c6a5 · outbound

This paper cites an unresolved cited work.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:45.085542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.085542Z digest=sha256:830c47a521c747a134ced70441a9bcb1782190462d401a0a32fe798f5b3db91c

Observation 4fad4418-7641-4ef4-ad2f-7d40574699c8 · outbound

This paper cites Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:45.165815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.165815Z digest=sha256:87834bf73138f8b13c71e0e9c818dcb5a1c8f676adc9f3136927e0ebbcc6066f

Pith citing papers

No inbound Pith citation observations are available.