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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:43.099174Z digest=sha256:5432c5a667a98c1dd4c12f98264f0e4c512b6ea07d1dec4fc3d90762ca778d08

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:43.165235Z digest=sha256:138b155f841fce9d61f5bb22fa53b16eb4309baebbd7fd2b6aa51f3977ffe017

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:43.262990Z digest=sha256:94a5a86bbdd1eefd99724597dcf95fb94fc2cfeabc2fbe3c01f170b357f7394e

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:c18e5a1dbce37642d80feeff674ed8ad93d21920724818026eef669f34e412b9

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:feeb6c20a8988fde6b8d991095a3f9874589b1d901c0d15652cf25024ff1c301

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:43.553986Z digest=sha256:b3c8da8182d8d6cf5d12c24fb224b5f85fab81d685689ce1ad01a1d5f02df413

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:43.633677Z digest=sha256:2d50cac5e5a2bb8a5e65a9bc7321b001e9cb4b8c96f5e2cbf0bc68994805a248

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:ec92fbdd7fef02076e0e8bbcd21405a560e04b353f3670fc001f2038bb4e9cc4

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=sha256:5ca9c08639250cb599584fc7c09368589b65ebf6a71e3429135288484b0ab87d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:43.919819Z digest=sha256:751671a89c82d4a85626ac30c9cda0b14bdd10dbd230d1b855f2bc4f61cc897f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.029384Z digest=sha256:659d2d4c8f5c217558b620931c55961534321ad549eb171e97829c0380a63a00

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.155138Z digest=sha256:a0d702e8de31c3937bb3fa6062a73c5ae284ccefce2c5918b2bce21cc0924456

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:dab874e77da373bd20ce2544628630d03e39fd4b59fc7a1330768a6542c023cd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.332799Z digest=sha256:54d6a7db19036fcdda65db4e13ebeae0b366ca2496900761dfb9e51c038ea060

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.460384Z digest=sha256:0dd49fb84bd8bb2baa5cc638b27bbc7fa2be4eaaed7297fabd767ceaee3327af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.542464Z digest=sha256:bdc4ccda2977fc94f8647a4481d6f05e5b3aff13a2c93dea92e5254da4d03894

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.617207Z digest=sha256:166b3f2dfeab39e21f0527b4cd2b4d4151645e1c8a990f79bed18aca0f5102f0

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:f288564ceec739871070e0436c7c1b6f67ccafeabef206a5eddcbf19be87a35f

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=sha256:38cb3113dd3725a88b0918a4555c5756c1574865ea3c2174af42c47ae20d11e1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:44.858304Z digest=sha256:fc4e755ca0044d2d1b6962cf900330685d3117ebcdb7917ef52589ef2ccf511e

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:d73b93d2c410c6335a8fdc207796f754483f74db8aa8b1f7b380ed38385031e4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:03:45.026430Z digest=sha256:e1c248e83bf164e29df0dd86a0d5c270c3d505866d0fb1ace1d1f665daff78ac

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:fd89c6d9b3f4037e26ffb04ac8e6b823810d0fc208c2946538c218f300e7c3ea

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=sha256:89e686b8ae057101b6e16cca05dd12bd062512860085b809951b1a5237ed9cca

Pith citing papers

No inbound Pith citation observations are available.