Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:35:15.239258Z
Paper Citation Record · LEDGER
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval
As of 9 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2601.13525.
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 2026-05-15T08:57:36.201292Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T08:59:53.135580Z
Reference resolution
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved5
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e5762b52-050e-4ab8-81d0-35ed99409d89 · outbound
This paper cites Financial Aspect-Based Sentiment Analysis using Deep Representations.
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval Financial Aspect-Based Sentiment Analysis using Deep Representations
Reference 6
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T09:35:15.239258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c00db63-b236-47b0-b9e6-25cdc3dfd325 · outbound
This paper cites Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models.
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:35:15.078403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14ac27db-74e9-43e8-9d4b-cedd897f43ae · outbound
This paper cites Promptagator: Few-shot Dense Retrieval From 8 Examples.
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval Promptagator: Few-shot Dense Retrieval From 8 Examples
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:35:14.601529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80211428-2089-4b6d-ac7f-43aaf53a0f0e · outbound
This paper cites an unresolved cited work.
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval Unresolved cited work
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:35:14.733273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab092e44-7bf4-4db4-b684-93b79febd57c · outbound
This paper cites AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation.
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:35:14.968119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1093d4da-7a49-4285-b1dc-ae35801f7955 · outbound
This paper cites ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain.
More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:35:14.849213Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation c3a7025c-3641-4012-9713-c5d30d8f7825 · inbound
Spectral Tempering for Embedding Compression in Dense Passage Retrieval cites this paper.
Spectral Tempering for Embedding Compression in Dense Passage Retrieval More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-04T02:06:52.717895Z
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.