Paper Citation Record · LEDGER

Starbucks-v2: Improved Training for 2D Matryoshka Embeddings

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.13230.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.13230 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:29:59.795644Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T07:26:45.694891Z

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 1d3ffd31-833d-4e13-871a-88d294e5504a · inbound

Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering cites this paper.

Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering Starbucks-v2: Improved Training for 2D Matryoshka Embeddings

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:29:59.795644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a1d4c6-efb9-4f9f-9a00-5e177d673a6f · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning Starbucks-v2: Improved Training for 2D Matryoshka Embeddings

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:34.150741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b22ed1-e8f6-4fd0-beba-b67df00763ca · inbound

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding cites this paper.

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding Starbucks-v2: Improved Training for 2D Matryoshka Embeddings

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:17:44.602642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 990265bd-03a1-463f-81d7-c1926a164c42 · inbound

MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework cites this paper.

MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework Starbucks-v2: Improved Training for 2D Matryoshka Embeddings

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.696354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.