Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:34:07.609421Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.05364.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:34:07.609421Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1ffdb3e5-9d8a-4d49-9918-05548adc690b · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Robust Speech Recognition via Large-Scale Weak Supervision
Reference 1
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Observation b3cbbfa1-9c6c-4a0a-ac99-8ca4a6c40ae0 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Common Voice: A Massively-Multilingual Speech Corpus
Reference 2
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Observation f45fb52e-531b-4ab7-bdae-ec25e6d94d36 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Word Level Timestamp Generation for Automatic Speech Recognition and Translation
Reference 3
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Observation a18c4571-f0e2-48e2-826c-81b40253878e · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing In-Sync: Adaptation of Speech Aware Large Language Models for ASR with Word Level Timestamp Predictions
Reference 4
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Observation 2e910b67-6922-44cb-87a7-3654c34f4a01 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Listening between the frames: Bridging temporal gaps in large audio-language models,
Reference 5
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Observation ef23a525-8250-425c-ab2e-11b100d3c459 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Distilling the Knowledge in a Neural Network
Reference 6
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Observation c43b7e8b-5fe6-40ac-b177-40bee61a02e8 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Learning without forgetting,
Reference 7
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Observation 07cf12ba-404c-46e4-932a-ffc0dad8736f · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Overcoming catastrophic forgetting in neural networks,
Reference 8
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Observation 184956d7-5c26-4ffe-a315-69ae420cb087 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Gradient episodic memory for continual learning,
Reference 9
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Observation 9e786492-f912-462c-9ef9-943f204f432b · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Dark experience for general continual learning: A strong, simple baseline,
Reference 10
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Observation 2bf3070d-31e3-4994-9900-e352b50aef09 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing WhisperX: Time-accurate speech transcription of long-form audio,
Reference 11
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Observation 1f46a112-866c-42d0-b8f9-261ae27e00db · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Montreal Forced Aligner: Trainable text-speech alignment using Kaldi,
Reference 12
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Observation 6ae44956-fd59-43a2-880d-17826d5cdd46 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing The Kaldi speech recognition toolkit,
Reference 13
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Observation 695be922-6d80-41ce-b855-00d37267e7fe · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment
Reference 14
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Observation a7e0ca6a-c31d-46e8-aee9-da8e82e24567 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing CTC-Segmentation of Large Corpora for German End-to-end Speech Recognition
Reference 15
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Observation 603f6899-74a5-4fb4-b4a4-d845bd4714c0 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing LLM- ForcedAligner: A non-autoregressive and accurate LLM-based forced aligner for multilingual and long-form speech,
Reference 16
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Observation 65962cd3-9e8d-4bb7-926b-0a1d4086f1ae · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing CrisperWhisper: Accurate Timestamps on Verbatim Speech Transcriptions
Reference 17
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Observation cb603aa2-6bbb-4f39-b6b1-9787c93f9800 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Whisper Has an Internal Word Aligner
Reference 18
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Observation 02433610-cd3b-4ea3-afec-156789e68f76 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
Reference 19
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Observation 98b4a681-6706-4e5e-8f3c-9111daf52831 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Investigation of Whisper ASR hallucinations induced by non-speech audio,
Reference 20
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Observation c90ec813-1833-481c-99b9-f3f4b694d30b · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Calm-Whisper: Reduce Whisper Hallucination On Non-Speech By Calming Crazy Heads Down
Reference 21
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Observation 722748dd-c678-4658-ab77-dc74913e186e · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models
Reference 22
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Observation dfdde7db-223f-4805-8750-ec9aa31d5c81 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AHa-Bench: Benchmarking audio hallucinations in large audio-language models,
Reference 23
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Observation 9de1f168-eb81-448c-b904-b3bd68cda657 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing From Text Metrics to Model Internals: A Study of Whisper ASR Hallucination Detection
Reference 24
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Observation 80d300bf-1e0d-4e34-884d-6500a2dbaffe · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncoders
Reference 25
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Observation 219c8161-cbe9-43e2-a9b9-94e4ba10c391 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data
Reference 26
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Observation 066636ac-0d51-4c28-a15d-9a9c87796466 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Channel-aware domain-adaptive generative adversarial network for robust speech recognition,
Reference 27
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Observation f2bd38d6-64e9-4c8f-9144-a718b81b1678 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 28
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Observation b5a7fbc6-ddad-41ee-8118-64e9743e02fa · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Scheduled sampling for sequence prediction with recurrent neural networks,
Reference 29
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Observation 7557301e-7241-47cf-8fb6-80bb29e19dd7 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Dynamic-SUPERB Phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks,
Reference 30
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Observation 878eaff8-8aa0-402f-8b15-5eb36fd0f8e9 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing SUPERB: Speech processing universal performance benchmark,
Reference 31
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Observation 1fe95b42-940c-42e0-9609-fb02723ac753 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing ML-SUPERB: Multilingual speech universal performance benchmark,
Reference 32
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Observation c5964911-4ee4-4b2e-a700-719d338ce703 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing HEAR: Holistic evaluation of audio representations,
Reference 33
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Observation b4e88589-4075-4e31-82ee-d7115afe1b33 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
Reference 34
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Observation 7b4e7f6d-8971-441e-87c9-1faa15b3e281 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AudioBench: A Universal Benchmark for Audio Large Language Models
Reference 35
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Observation 2d1b7339-0b52-4fbb-97b2-2f7e3b75c083 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing MMAU: A massive multi-task audio understanding and reasoning benchmark,
Reference 36
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Observation 40b3f580-ed53-42a5-a851-e90280492b59 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AudioMarathon: A comprehensive benchmark for long-context audio understanding and efficiency in audio LLMs,
Reference 37
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Observation 4257fe3c-2b01-4a05-98b2-c03357c9728b · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Not in Sync: Unveiling temporal bias in audio chat models,
Reference 38
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Observation 2b267c34-47ea-4e78-9324-5006d8c2ac52 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding
Reference 39
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Observation 95172167-5665-4c30-baf5-f61376f6819d · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models
Reference 40
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Observation d6178851-a237-4168-a9cc-19b499cfd01c · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing STAR-Bench: Probing deep spatio-temporal reasoning as audio 4D intelligence,
Reference 41
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Observation 83cbaf1b-1063-4f83-82bc-8780722e9ce8 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Audio Set: An ontology and human-labeled dataset for audio events,
Reference 42
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Observation 88fad0f1-8926-40aa-878f-63b6a4ddf506 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AudioCaps: Generating captions for audios in the wild,
Reference 43
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Observation ee8435bc-121e-4231-894e-e94ff2379a97 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Clotho: An audio captioning dataset,
Reference 44
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Observation cc0bc37e-ff5f-4fd0-badf-11792419cd16 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Clotho- AQA: A crowdsourced dataset for audio question answering,
Reference 45
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Observation b34b3702-cfd4-4746-9d49-026aa7bf9050 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing ToxicTone: A Mandarin audio dataset annotated for toxicity and toxic utterance tonality,
Reference 46
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Observation b64ee07b-05ca-4b2c-82dd-aee23969141b · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
Reference 47
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Observation 3d46c1c5-fb5d-4421-a10f-05bffb6dcde6 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Parameter-efficient transfer learning for NLP,
Reference 48
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Observation da1823e0-e26e-44e3-8e8b-05c794bc9424 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing LoRA: Low-rank adaptation of large language models,
Reference 49
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Observation 4ced987a-5ff0-485b-8c94-a8e43237f11e · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Prefix-tuning: Optimizing continuous prompts for generation,
Reference 50
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Observation 6491b14e-3da1-4013-850b-afa9faebdf7a · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing The power of scale for parameter-efficient prompt tuning,
Reference 51
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Observation d0d7d2b4-bc38-429a-b653-dae854b47fa3 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing BitFit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,
Reference 52
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Observation c9a74677-515f-4dae-b2e4-4163c6d6bdc7 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,
Reference 53
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Observation ff153f3a-9737-47d4-b1d2-19223289b9f6 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing ASCEND: A spontaneous Chinese-English dataset for code- switching in multi-turn conversation,
Reference 54
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Observation 0117172f-3b7c-4650-afc5-d12ac89ab204 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
Reference 55
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Observation 90996d41-f42b-47a0-8717-a9f79f51f953 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Qwen2-Audio Technical Report
Reference 56
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Observation 80d76507-3b18-43e2-b6fc-74d2e0422ab4 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Qwen2.5-Omni Technical Report
Reference 57
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Observation 9dea83a3-d61d-4061-a76b-009d454a535a · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Qwen3-Omni Technical Report
Reference 58
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Observation 259ddbf8-222e-4dfc-9a60-ca007a266265 · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing MOSS-Audio Technical Report
Reference 59
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Observation 1d2e4cf9-12b3-4ea6-96b3-68c9db72f11f · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing VIBEVOICE-ASR technical report,
Reference 60
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Observation a8e7beec-a3ca-4e7f-967c-849999d780ae · outbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing DeSTA2.5-Audio: Toward general-purpose large audio language model with self-generated cross-modal alignment,
Reference 61
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No inbound Pith citation observations are available.