Paper Citation Record · LEDGER

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.11125.

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

pith.paper-citation-record.v1
2506.11125 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:40.825200Z

measured 41 of 41 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 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

41 of 41 outbound references displayed

verified exact2
verified fuzzy24
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfee9eeb-2bbc-4ace-85fb-29817dbfa340 · outbound

This paper cites GPT-4 Technical Report.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.692986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142bdd5f-3ea3-42e7-b441-4b60b1ad8acf · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.696946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f630a0c8-75e4-4429-bce6-748c5a29d39a · outbound

This paper cites Language models are few-shot learners,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Language models are few-shot learners,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.397079Z

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.

Observation 3548ff91-727d-4441-9c79-8ea749ee29d7 · outbound

This paper cites Lateral Phishing With Large Language Models: A Large Organization Comparative Study.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.703187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667bd7fb-10ff-46bd-8a54-38f470c6e2d2 · outbound

This paper cites Assessing AI-Generated vs. Human-Authored Spear Phishing SMS Attacks: An Empirical Study.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Assessing AI-Generated vs. Human-Authored Spear Phishing SMS Attacks: An Empirical Study

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.707286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06705ba2-8ffe-49a7-a624-318c52025b50 · outbound

This paper cites Exploiting llms for scam automation: A looming threat,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Exploiting llms for scam automation: A looming threat,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.386730Z

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.

Observation 8c37b910-a5ef-4efc-bf3b-92e584a2cf29 · outbound

This paper cites On the Feasibility of Fully AI-automated Vishing Attacks.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams On the Feasibility of Fully AI-automated Vishing Attacks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.713803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b46f11d2-d8d0-42f8-b0a7-06d716942109 · outbound

This paper cites Ai-driven vishing attacks: A practical approach,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Ai-driven vishing attacks: A practical approach,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.376014Z

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.

Observation 8a98cfd5-5d31-4026-a1cc-fc9dbb232240 · outbound

This paper cites Don’t listen to me: understanding and exploring jailbreak prompts of large language models,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Don’t listen to me: understanding and exploring jailbreak prompts of large language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.364474Z

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.

Observation 32353dc0-d3e5-4315-aead-76623aa89200 · outbound

This paper cites All in how you ask for it: Simple black-box method for jailbreak attacks,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams All in how you ask for it: Simple black-box method for jailbreak attacks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.352522Z

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.

Observation a5ffaa53-0f6b-4374-aaf8-a58474c1b00e · outbound

This paper cites Does audio deepfake detection generalize?.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Does audio deepfake detection generalize?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.726416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679fce64-08cd-4fb0-97ba-b65ef58f3bcc · outbound

This paper cites Audio deepfake de- tection: What has been achieved and what lies ahead,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Audio deepfake de- tection: What has been achieved and what lies ahead,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.340791Z

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.

Observation b12ac6b3-fbb5-49fa-b6d1-d21c08bfe932 · outbound

This paper cites Audio adversarial examples: Targeted attacks on speech-to-text,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Audio adversarial examples: Targeted attacks on speech-to-text,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.330685Z

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.

Observation 3c55c273-d32e-4596-8d52-e598e5d2677e · outbound

This paper cites Did you hear that? Adversarial Examples Against Automatic Speech Recognition.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Did you hear that? Adversarial Examples Against Automatic Speech Recognition

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:12:40.916915Z

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.

Observation 941cb9f3-3434-42f4-bf55-034e3acbb37c · outbound

This paper cites Universal Adversarial Perturbations for Speech Recognition Systems.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Universal Adversarial Perturbations for Speech Recognition Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.738692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8013a86c-5f2d-4ea1-81b7-abdbf742d85c · outbound

This paper cites Hear” no evil.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Hear” no evil

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.320558Z

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.

Observation 092c634b-13e2-4325-9b25-1c80b338e870 · outbound

This paper cites Advddos: Zero-query adversarial attacks against commercial speech recognition systems,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Advddos: Zero-query adversarial attacks against commercial speech recognition systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.309394Z

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.

Observation 2cd01998-fe2c-44e6-b46a-b570ff46b69f · outbound

This paper cites {KENKU}: Towards efficient and stealthy black-box adversarial at- tacks against {ASR} systems,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams {KENKU}: Towards efficient and stealthy black-box adversarial at- tacks against {ASR} systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.298235Z

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.

Observation 62b99a88-9e6b-46bb-9893-66f295aab5a5 · outbound

This paper cites Ted-lium: an automatic speech recognition dedicated corpus.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Ted-lium: an automatic speech recognition dedicated corpus

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.282004Z

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.

Observation 71f1a55d-91b2-4757-b936-af3bf76fc044 · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Librispeech: an asr corpus based on public domain audio books,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.758048Z

Source-reported events for the cited work

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Observation 66124bb6-8adb-4a50-8e9f-1b9a2b133570 · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Deep Speech: Scaling up end-to-end speech recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.761140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e5ee17-8e4d-45f4-a8cf-a0a7b74047a7 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.764739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb8f30a-9dbb-41c5-9684-f78e41f01415 · outbound

This paper cites V osk: An open source offline speech recognition toolkit,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams V osk: An open source offline speech recognition toolkit,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.270532Z

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.

Observation 26d48970-6709-4c86-8e5e-9c42e656f714 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Robust speech recognition via large-scale weak supervi- sion,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.770832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103f045c-c53a-4865-87eb-fae1dd9c785a · outbound

This paper cites Speech- brain: A general-purpose speech toolkit,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Speech- brain: A general-purpose speech toolkit,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.253952Z

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.

Observation 82d6d60d-1dc0-4b3c-b4ac-ee51f13df755 · outbound

This paper cites End-to-end speech recognition: A survey,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams End-to-end speech recognition: A survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.243243Z

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.

Observation a22d92d0-48b2-4657-ac93-a03b1abc0b65 · outbound

This paper cites Automatic speech recognition using advanced deep learning approaches: A survey,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Automatic speech recognition using advanced deep learning approaches: A survey,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.780494Z

Source-reported events for the cited work

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Observation 36d97993-a568-495b-b24b-bdfe171c6399 · outbound

This paper cites {CommanderSong}: A sys- tematic approach for practical adversarial voice recognition,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams {CommanderSong}: A sys- tematic approach for practical adversarial voice recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.226748Z

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.

Observation a1754805-f6ed-49fd-928c-9b78a027386f · outbound

This paper cites Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.786596Z

Source-reported events for the cited work

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Observation d693d57c-f866-46f9-b62f-67e076f98675 · outbound

This paper cites Targeted Adversarial Examples for Black Box Audio Systems.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Targeted Adversarial Examples for Black Box Audio Systems

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:12:40.864115Z

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.

Observation ed8580af-f9e2-44f0-86a5-390342124252 · outbound

This paper cites Difattack: Query-efficient black- box adversarial attack via disentangled feature space,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Difattack: Query-efficient black- box adversarial attack via disentangled feature space,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.216230Z

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.

Observation f3ba67c7-15db-4e18-8b2e-9602a917c664 · outbound

This paper cites Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.204234Z

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.

Observation 00117b91-7cc2-4de0-8fa6-1360b997e4ff · outbound

This paper cites A Practical Survey on Emerging Threats from AI-driven Voice Attacks: How Vulnerable are Commercial Voice Control Systems?.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams A Practical Survey on Emerging Threats from AI-driven Voice Attacks: How Vulnerable are Commercial Voice Control Systems?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.799773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e363a3-225f-44da-b704-bd78fd1db99d · outbound

This paper cites {Devil’s} whisper: A general approach for physical adversarial attacks against commercial black-box speech recognition devices,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams {Devil’s} whisper: A general approach for physical adversarial attacks against commercial black-box speech recognition devices,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.192574Z

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.

Observation cd4f9057-1051-43e6-a69e-df52b45779f3 · outbound

This paper cites Adaptation to reverberation for speech perception: A systematic review,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Adaptation to reverberation for speech perception: A systematic review,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.182107Z

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.

Observation 501360f8-99c0-4f4e-a136-d92eff3f73ff · outbound

This paper cites Cortical encoding of hierarchical linguistic in- formation when syllabic rhythms are obscured by echoes,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Cortical encoding of hierarchical linguistic in- formation when syllabic rhythms are obscured by echoes,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.172048Z

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.

Observation dcc0a68f-21ad-4336-9382-987b64e2744a · outbound

This paper cites Sensory and perceptual decisional processes underlying the perception of reverberant auditory environ- ments,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Sensory and perceptual decisional processes underlying the perception of reverberant auditory environ- ments,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.161360Z

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.

Observation 74fd551e-4b8d-4df9-9711-0b92d7b51817 · outbound

This paper cites Original speech and its echo are segregated and separately processed in the human brain,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Original speech and its echo are segregated and separately processed in the human brain,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.150742Z

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.

Observation 493db929-bf87-422a-a166-3d863d443fa6 · outbound

This paper cites An algorithm for intelligibility prediction of time–frequency weighted noisy speech,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.819060Z

Source-reported events for the cited work

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Observation 39ffada1-6019-4580-82fa-361cc358b3b7 · outbound

This paper cites What was your prompt? a remote keylogging attack on {AI} assistants,.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams What was your prompt? a remote keylogging attack on {AI} assistants,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.134144Z

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.

Observation 9c7cc2fb-f9a5-4348-a432-b4ca625df791 · outbound

This paper cites [Online].

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams [Online]

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:41.123001Z

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.

Pith citing papers

No inbound Pith citation observations are available.