Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.10344.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:04:29.503731Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T11:45:47.239641Z
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 5bea82d2-a5dc-4f64-9633-aade6bdb05c6 · inbound
Do we really have to filter out random noise in pre-training data for language models? cites this paper.
Do we really have to filter out random noise in pre-training data for language models? ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:04:29.503731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edfe98b9-dc87-4e50-9f77-c65c579c2dbf · inbound
Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs cites this paper.
Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:46:49.260250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8e10872-b9b5-478e-acec-aa350f22d77d · inbound
AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation cites this paper.
AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:41:03.148013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8052c5cc-8fe5-4a97-a993-19fc3d8498e5 · inbound
FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model cites this paper.
FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Reference 252
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T11:45:47.240918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.