Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.06932.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:47.888721Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:11:10.049216Z
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 779f62a1-fc82-4ee7-a71b-5579abc82434 · inbound
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model cites this paper.
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Reference 1972
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:47.888721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59831827-e4c3-4963-80fb-fac5d475dbdd · inbound
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training cites this paper.
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:26.913944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b99477a-74ae-4035-a32f-987f9ea849a9 · inbound
QZhou-Embedding Technical Report cites this paper.
QZhou-Embedding Technical Report Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:11:10.053158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.