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Paper Citation Record · LEDGER

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 3 inbound Pith citation observations for arXiv:2505.14887.

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

pith.paper-citation-record.v1
2505.14887 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:36.592973Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:45:17.550982Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved11
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation afe14d08-2088-4bc5-93d2-f74864cca6e9 · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 1

Resolution
parse uncertain
no resolver link, observed 2026-08-07T15:30:36.078099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:36.078099Z digest=sha256:321f3883738304ba95a114d5894aa5a8d2b897ee76a3fd3913fa80a38ad13699

Observation 8b49f3cf-6687-47a7-bf4d-e5eb1e181b8f · outbound

This paper cites , ? ! ; : " ’ ( ) [ ] (each replaced with space).

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties , ? ! ; : " ’ ( ) [ ] (each replaced with space)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:36.848863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.091620Z digest=sha256:5c7c98c4817e8c57f0c13b9cfc1bebf279b24e14b70d368213c214c63451958b

Observation 80ea0865-3003-4476-9b31-4b3a79ae256f · outbound

This paper cites {variety}_{speaker}.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties {variety}_{speaker}

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:36.834883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.186668Z digest=sha256:bb54512cd3ef206694fbe9e59dc7e80cd5353544e372db996810cf29bb5272aa

Observation 2efff9ce-b914-4c3c-a11a-6c9d35880040 · outbound

This paper cites SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:35.949926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:35.949926Z digest=sha256:5810fc3bdc5bdff0cb705288b2a8e50e471e5f77441fe5fb883e77f143b09d97

Observation 1bdd0377-696e-4684-8552-38489e593349 · outbound

This paper cites 14 Table 3: Complete speaker-level Word Error Rates (WER) for 0-shot and 12-shot conditions.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties 14 Table 3: Complete speaker-level Word Error Rates (WER) for 0-shot and 12-shot conditions

Reference 5

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:30:36.717600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.592973Z digest=sha256:907a7281eadca4e4dea0935af63e8a27e08b0b3ac08cc17acb53499df9894586

Observation d77a29a1-b377-45d1-99a4-73a9b0d911bf · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.873494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.074194Z digest=sha256:388adbb83f34020c87edb76e9a7e522da5ab1e816adb71e10327f68a1f9e16ec

Observation c434220b-7831-4e1c-b0e9-4103d8cc990c · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.819895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.245178Z digest=sha256:d046ba2ef0f0ffb8d0b1293d9b3973c3ba1e84f547782d312f0bf7c39240dead

Observation 59f17fa0-5fa3-4697-adce-f01cadb39656 · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.806394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.325337Z digest=sha256:85971e1eb31aa04f88e9026366e73e951d24a6549efc4e0a7170be4c8428584f

Observation 99a50e15-6817-437b-8533-b50395e56eee · outbound

This paper cites an example.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties an example

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:36.793008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.405210Z digest=sha256:008bdc4fd1aa0072d0233715355af85acdee1d7379ae6610de7761526a2b1110

Observation f98a40cf-5663-44d8-ab07-b9f132674ee6 · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.777391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.457576Z digest=sha256:03f9cd3ea3a3114b6225cc3c622ab4ab7cf96cc7931ecb70ddc4bcb8a68ba3b5

Observation f527db3a-8726-471c-a1df-1275366eec99 · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.762538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.516526Z digest=sha256:4f442e0b7f4fc53cec34683839ed5be1eae2a4d3906238531e6535b1ea350764

Observation 4de1031a-e1a3-444e-8839-1b93c4d3dfd8 · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.746608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.565553Z digest=sha256:b584bca4d4f555050586d1ca8588c478bb33bdd4953a75978be64fc8455eecd4

Observation 2dca1f60-3512-41c4-b897-6aa3a8e51394 · outbound

This paper cites an unresolved cited work.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:36.732169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.583936Z digest=sha256:44ea59d9d278f383f9c9513c1b2c08c8de9b74760118644cb35e17f4ecdf5af7

Observation 6fb9b090-5635-483b-ba80-c437652ac54e · outbound

This paper cites PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:36.064866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:36.064866Z digest=sha256:79a138c2a725f4e506ec4ced939cf9a60571fd368cf4cadb3c079a3cd4198929

Observation 71629528-963c-48f6-a1f8-55ec63c40a87 · outbound

This paper cites The Journal of the Acoustical Society of America, 141(2):886–899.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties The Journal of the Acoustical Society of America, 141(2):886–899

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:36.888086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:35.696267Z digest=sha256:acada6b3d735a1a2f795dadebf4df45d79069241bda6f3a8d6e763429b1e1917

Observation c3ec418a-c428-4735-a502-28f022089936 · outbound

This paper cites Learning to adapt: a meta-learning approach for speaker adaptation.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Learning to adapt: a meta-learning approach for speaker adaptation

Reference 2018

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:30:36.655573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:30:36.002581Z digest=sha256:9ca2a8a1522ec89703fd9f86c445d111ec7b52057d4dce2e9e6479d60b803662

Observation 6ed2d261-021f-4fbb-94ef-b7a55cd3ded7 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:35.814004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:35.814004Z digest=sha256:cdbd1ffe66851c1fc8a12b4cc08b27ac93fd56672b983bf6376a4e29b9c2aaa8

Observation 522bc3c4-4f87-48f2-a5fc-c9eb9361f417 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:35.740776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:35.740776Z digest=sha256:b95c34176934428b8ef1d0a5f132a2f85e1370246367f9071f1ac06afe1047d2

Pith citing papers

Observation aec6b7de-f36f-4f30-ad11-2cd103df1bd4 · inbound

Few-shot Personalization via In-Context Learning for Speech Emotion Recognition based on Speech-Language Model cites this paper.

Few-shot Personalization via In-Context Learning for Speech Emotion Recognition based on Speech-Language Model In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T20:45:17.550982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:45:17.550982Z digest=sha256:96abe177245dcf9938f75583f3298b43e59624d5d9bb5ce223746306efbfcc22

Observation ff88f8e9-7470-4bb4-a430-476544584dec · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:18:59.426922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-09T14:49:22.776209Z digest=sha256:529a53a8e39408d89d6dc9becf6a274c5c1d87d1ae738cf0915d58f4f881e689

Observation 84d32c53-b7a4-4d2b-bedd-91d28a6a2357 · inbound

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:15:05.606503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:457c88cb7c87e05ab079d019665f6ad0810caeede985e5558fb6696211e164ac