Paper Citation Record · LEDGER

COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.02248.

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

pith.paper-citation-record.v1
2311.02248 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:16.436586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:05:49.464245Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 607d190d-46da-4014-af69-c27e2ebce769 · inbound

Speechless: Speech Instruction Training Without Speech for Low Resource Languages cites this paper.

Speechless: Speech Instruction Training Without Speech for Low Resource Languages COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:16.436586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30f794d4-eb9c-47e0-a134-779f495bdd9f · inbound

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition cites this paper.

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:17:58.104459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba3b1a8-649e-49d1-9348-02b2cea6c00f · inbound

MetaSICL: Adapting Audiroty LLM via Meta Speech In-Context Learning cites this paper.

MetaSICL: Adapting Audiroty LLM via Meta Speech In-Context Learning COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T07:56:10.238290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43d90bc-d4cc-4169-bb4b-6e43dc3704f5 · inbound

FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations cites this paper.

FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:05:49.465629Z

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.