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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:43.099174Z digest=sha256:d2b6740504b42c8943c807f248444d4610f78d985a58f8a72f041e66e95f3d9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:43.165235Z digest=sha256:7915af4aa4942e1668c44e5e1baade36837bd986b3904ab5a541c65f3c8d6029

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:43.262990Z digest=sha256:ed9bac454bfb35ac49c526c7b68e678444bab62d0f8eb923d51cc24df7828a25

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=sha256:3a2150e0711ffe43ca9829f2e5d6f096d7045047915609dc831b2a7e15206ce2

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=sha256:102e4c484e8c482cd460b4d440dcdbbcea4464b27481408102e927bf118d0cd5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:43.553986Z digest=sha256:6f19d89a5437d5c871da2a5ae3f92c119b352fead937b50594aa1eafd218729f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:43.633677Z digest=sha256:5ab43f25f44dcffaa6140fc48a128db13cf38c5e04194757e81ef0a5d430cc5d

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=sha256:547c0fad0fdbe2aac21c7159052a4abdc8e8c64d9044ceeb61fddba04a479cb2

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:c55a6e66113753e07789061c963d7ab5a8906acdc2cc486f145c58f492a8dfe9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:43.919819Z digest=sha256:6fd04c1510847e6b64815760fc5adf3b084589755779e3761c53da8197743075

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.029384Z digest=sha256:c1bdf0965d44fa0511f968ee2ce32991300af5728e2d34cd9477bdc59f3fe2a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.155138Z digest=sha256:35b5918ab4653adf0a0989bced988eec33af79f5c8684ae91ae6b64ef1dbda41

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=sha256:12a277cb8979413efff4cdbde6fb5787c92d4a8fdf5807623f1a45bd7762bbad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.332799Z digest=sha256:c47fac6404022afcb3001890d13410330223969c4526947dbad697f91cd42e2a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.460384Z digest=sha256:79dca614c56b9b3b9c78f3bfbe4375fd822a9ab4a74c50679e62dd9715309ec4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.542464Z digest=sha256:f4764a63848faeab1f8ba7e979426c59a0cf3ecc74e69f635343f7a49c2fd0f8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.617207Z digest=sha256:4b3a0bb140ade7c65c299077747a5364ce1fc79ce6e3f392b7be1d949d2e0154

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=sha256:40fcf3f04df0696d7567442b06f3c6cdc9a87bda64662416c041a221f6904ad1

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=sha256:831fdcb021e72fc5754e2671195c47ea1f1a9da751bf5a3a3169f1d625609ed3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:44.858304Z digest=sha256:762e22227410a36a8caf9cf00f3285424802633879a1da62452d1c8532fcd3fc

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=sha256:182d486e9f66d9a1b775eac852ccfeb4568618b59d425746ae31fae5ec6f205a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:03:45.026430Z digest=sha256:7eb88b743f6efe4e22b6c75abc42d5dfc32d693a1580605e58860f891ad70f70

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=sha256:18fd9e81ff0946a9f159f8b0d138e4b88555b260df153b485705bfca5d89e7ab

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=sha256:2c688bec9951cb55d5fc6052057cc723cfc87e6424ea722431a2d7c2f071774b

Pith citing papers

No inbound Pith citation observations are available.