Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.19693.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:04:08.446006Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f512eb45-7e4e-4366-978e-0b3dd5201e99 · inbound
CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation cites this paper.
CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:41:36.429354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 61bd182b-210e-4d57-aedf-9d60782b4d61 · inbound
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction cites this paper.
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:47:27.373025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b4832db6-1e00-43d0-85cc-cd3a51e5dc04 · inbound
MultiHashFormer: Hash-based Generative Language Models cites this paper.
MultiHashFormer: Hash-based Generative Language Models AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T04:23:05.515782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cd508f2c-7658-47dd-b894-9c75674811c2 · inbound
In-Place Tokenizer Expansion for Pre-trained LLMs cites this paper.
In-Place Tokenizer Expansion for Pre-trained LLMs AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:50:16.366515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9def8cf2-ff97-4c0b-bb8b-a049ec39b31a · inbound
Beyond Initialization Loss: A Systematic Study of Token Embedding Initialization Strategies for LLM Vocabulary Extension cites this paper.
Beyond Initialization Loss: A Systematic Study of Token Embedding Initialization Strategies for LLM Vocabulary Extension AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:04:08.446006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.