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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 8 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 2026-08-08T06:32:00.761636+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=sha256:69d4199dc61e400b34ff6bdf66533b4c9ef534df03830b87b10ef9594c77f43e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.091620Z digest=sha256:5bedc7f9c08755d846218680cdfd684f23544f28e4d4fc141d17bbd281b98e6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.186668Z digest=sha256:2683ed62466f6d1bc5e86e83bb179e930a05c7a78dbbbd575d858742facff6f3

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=sha256:95870ea733c407bbf4b4ffd0b49e4828b5870c1a9fb828b4d2aff9a62919b588

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.592973Z digest=sha256:dd2c723415cb811c68456bc72f4019ae5ba8a8ea97402dbd51c1b8f98fa09569

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.074194Z digest=sha256:2fecb8f177514f28679a4eee60dc156e24088ecdab5a37c68a080c6c43e0ddc4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.245178Z digest=sha256:9fd0bf59f203eeca2dbdaaba58a53beaea2cb3fe9e761888997a2e9dc17c53a8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.325337Z digest=sha256:dea49d2d7357f07078f323d53340f37fa07b5b335768dd71f114bd57c792485d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.405210Z digest=sha256:0fd4f832ea81a4c2b2decac2d5e7ea16cbd53389103f03e8743a3b3ffbe80f04

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.457576Z digest=sha256:072f21571992c4786453d879a65a5dd3bdda8888a3e283bbe013aec47a04400b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.516526Z digest=sha256:1dc300b162d77acd5ebe64a6981bd095f05427a3e716a486da503bc260cd891e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.565553Z digest=sha256:e9d50990272d280d7b13a825b89f36df4527b179c95870e8bb46705788a34d94

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.583936Z digest=sha256:cd279bee290d0748984856ed0acb98183c9ecd39116664a61208463278f82c2b

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=sha256:8ab700b3e6eab051804afb8b65d836df6f00a47ce6f305b534e2071b59291c84

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:35.696267Z digest=sha256:6761472a34297d6444ec78dfeb1ff6c27f93dc04ef6dee38c660bb8f7c499792

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:30:36.002581Z digest=sha256:6bd1603d9d9013906d7749c8426bbfa667f8312b32f9ae8ccace1b6628712a97

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=sha256:0b94c96063e42072608a9f4af67508ca3e94b802b9da6b244b370c8865f2a526

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=sha256:839a947131088b68c9607d483e1b16739e321bd12d8f7d493addd3e203b8a3dc

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=sha256:55bb926b974ef790e8f8a40df27de3a1269ecbaf8bcb7f9371e3c76d744d4957

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T14:49:22.776209Z digest=sha256:625d17d8488b55c78198a753316f94222a32845ceed56331014b4dca99135d19

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:51061f4fcecc3c3b6eac48b232465bef6914e8db1aaad354c4674084d9d45283