Paper Citation Record · LEDGER

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2412.01145.

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

pith.paper-citation-record.v1
2412.01145 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:44:25.985859Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:52:53.386966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:45:08.147897Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy25
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 985a90aa-debf-49ca-be33-294fffdccfa5 · outbound

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

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Language models are few-shot learners,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.697786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 716d7f8d-3a7c-4636-b8df-37eb5a2e534d · outbound

This paper cites GPT-4 Technical Report.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.790256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb7d0de-fd21-46ad-abff-27c6cbd21103 · outbound

This paper cites The Llama 3 Herd of Models.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.795189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8df4194-3025-4b92-abd6-a0202eeb08ec · outbound

This paper cites Self-instruct: Aligning language models with self- generated instructions,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Self-instruct: Aligning language models with self- generated instructions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.680275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3cdce924-0448-4e9e-bce3-0b7308d2b00e · outbound

This paper cites Training language models to follow instructions with human feedback,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Training language models to follow instructions with human feedback,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.806894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329c671c-df29-4ec5-92ad-516a771e5422 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Direct preference optimization: Your language model is secretly a reward model,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.811299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2cc399-9573-4da9-aefa-2645b242341f · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Moshi: a speech-text foundation model for real-time dialogue

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.816937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06b2145c-2d85-4191-bde8-1c5a2f153906 · outbound

This paper cites Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.821357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36998284-953c-477a-95da-df47762a1d60 · outbound

This paper cites Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.825642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c733e4d-e0fc-41df-9404-1b8e19304a9a · outbound

This paper cites SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.829811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c436fa-ff2f-4d68-8e51-6a9e950764e1 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.834345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedfc8f9-0c10-4bc1-80ab-eae0ffdfc593 · outbound

This paper cites LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.838344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e60d1685-300a-4a71-b8d3-9d17e046fbbc · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.841973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f4b24e-79ee-4853-945e-ef4672dfdf7d · outbound

This paper cites SALMONN: towards generic hearing abilities for large language models,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM SALMONN: towards generic hearing abilities for large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.641519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5997242c-74a7-4943-81cf-1c028e5d6d06 · outbound

This paper cites Qwen2-Audio Technical Report.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Qwen2-Audio Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.849796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181cedd0-34f3-49bf-a163-cc409242e82e · outbound

This paper cites On decoder-only architecture for speech- to-text and large language model integration,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM On decoder-only architecture for speech- to-text and large language model integration,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.626933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 782fcbb5-d293-44d4-b352-6e7db367d78f · outbound

This paper cites COSMIC: data efficient instruction-tuning for speech in-context learn- ing,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM COSMIC: data efficient instruction-tuning for speech in-context learn- ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.610104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e622f2e9-4fe5-42dc-bd14-35fab6d28c79 · outbound

This paper cites Prompting large language models with speech recognition abilities,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Prompting large language models with speech recognition abilities,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.590364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7df69f19-523c-44be-8936-bd2a9a07ecf9 · outbound

This paper cites SpeechVerse: A Large-scale Generalizable Audio Language Model.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM SpeechVerse: A Large-scale Generalizable Audio Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.866877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d59d3c-1b84-4e41-85d6-add42654e0e4 · outbound

This paper cites High fidelity neural audio compression,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM High fidelity neural audio compression,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.870796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 623da227-e956-4251-886e-484a7e084a54 · outbound

This paper cites High- fidelity audio compression with improved rvqgan,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM High- fidelity audio compression with improved rvqgan,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.563623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 818a281e-6dc3-40a4-a1bd-5befccdef7f2 · outbound

This paper cites Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.878311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 873c4ec5-451a-4960-a1e5-be8b46640b66 · outbound

This paper cites Wavllm: Towards robust and adaptive speech large language model,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Wavllm: Towards robust and adaptive speech large language model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.553469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da070468-5174-4080-9257-9d6e12c61ff6 · outbound

This paper cites Audiochatllama: Towards general-purpose speech abilities for llms,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Audiochatllama: Towards general-purpose speech abilities for llms,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.519938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6e663c6-107c-432c-9304-37c183a30bc2 · outbound

This paper cites BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.893673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f31491-4a10-408e-9d3f-60af5e18d21c · outbound

This paper cites DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.897763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36749f60-17f5-410b-810f-9da282938ede · outbound

This paper cites Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.901872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c5b8b81-e1a0-439a-b105-2433776bea43 · outbound

This paper cites Wav2Prompt: End-to-end speech prompt learning and task-based fine-tuning for text-based LLMs,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Wav2Prompt: End-to-end speech prompt learning and task-based fine-tuning for text-based LLMs,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.506587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92414057-f770-43da-ad24-19aa9404c3a0 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.909775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36333554-2450-44f8-8090-6b818c617999 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.914477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65626896-ee5e-4025-a331-63ae60dc2ac7 · outbound

This paper cites Connec- tionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Connec- tionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.490200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71511e59-350c-4d5c-a4fd-e8c8a0a96a34 · outbound

This paper cites CASS-NAT: CTC alignment- based single step non-autoregressive transformer for speech recognition,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM CASS-NAT: CTC alignment- based single step non-autoregressive transformer for speech recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.473692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5e6650f-2ee5-4b1c-ab49-d42a5d3749a0 · outbound

This paper cites Unienc-cassnat: An encoder-only non-autoregressive asr for speech ssl models,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Unienc-cassnat: An encoder-only non-autoregressive asr for speech ssl models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.461458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c2802fb-909d-4e2d-b02f-3ac59ab22d71 · outbound

This paper cites Ctc-based compression for direct speech translation,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Ctc-based compression for direct speech translation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.449574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 982d628b-f3e8-4a9b-af47-f524d73fcd9d · outbound

This paper cites CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.435311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2d75a61-cb1c-437a-bc2b-b126ea13604c · outbound

This paper cites SpeechT5: Unified-modal encoder-decoder pre-training for spoken language processing,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM SpeechT5: Unified-modal encoder-decoder pre-training for spoken language processing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.421186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85514468-a283-4725-a254-7017d248630d · outbound

This paper cites SpeechLM: Enhanced speech pre-training with unpaired textual data,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM SpeechLM: Enhanced speech pre-training with unpaired textual data,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.404239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86f05e72-8f1e-4a42-a720-c8b46a45e795 · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.946785Z

Source-reported events for the cited work

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Observation e74b7024-a6db-44f6-98ec-f26174eec041 · outbound

This paper cites M-adapter: Modality adaptation for end-to-end speech-to-text translation,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM M-adapter: Modality adaptation for end-to-end speech-to-text translation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.387882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0d740d2-39c1-4905-b8be-c793fb4494d9 · outbound

This paper cites MAESTRO: Matched speech text representa- tions through modality matching,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM MAESTRO: Matched speech text representa- tions through modality matching,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.375306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c00317ff-d02d-48b0-9d02-c6ad41888208 · outbound

This paper cites Cjst: Ctc compressor based joint speech and text training for decoder-only asr,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Cjst: Ctc compressor based joint speech and text training for decoder-only asr,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.361980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b3ba2a4-aa92-49ee-829b-85887d30e4fd · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Lora: Low-rank adaptation of large language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.346175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a096d0b-5c63-45e5-9e99-4ca0b139bb8c · outbound

This paper cites CJST: CTC Compressor based Joint Speech and Text Training for Decoder-Only ASR.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM CJST: CTC Compressor based Joint Speech and Text Training for Decoder-Only ASR

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T04:44:26.028455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8c2d6d40-f604-424b-abfb-076846be80d0 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Conformer: Convolution-augmented transformer for speech recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.310290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6c1a48e-e5b1-4d07-9ecf-d18ee2837067 · outbound

This paper cites A CTC alignment-based non- autoregressive transformer for end-to-end automatic speech recognition,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM A CTC alignment-based non- autoregressive transformer for end-to-end automatic speech recognition,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.332237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 490ff960-f90d-44d6-a8f0-fde17f19def0 · outbound

This paper cites Unsu- pervised cross-lingual representation learning at scale,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Unsu- pervised cross-lingual representation learning at scale,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.281353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e3c3e89-b628-42c0-b2c0-3cfcd5f1b980 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models,.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM Zero: Memory optimizations toward training trillion parameter models,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:25.980965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a11f7ff-e3ee-4275-81e7-b331e95a2782 · outbound

This paper cites 4552–4572.

AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM 4552–4572

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:44:26.537792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 365b54bc-1661-477d-8383-51bc92147390 · inbound

On The Landscape of Spoken Language Models: A Comprehensive Survey cites this paper.

On The Landscape of Spoken Language Models: A Comprehensive Survey AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T20:45:08.151044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities cites this paper.

Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM

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