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Paper Citation Record · LEDGER

Efficient Multi-Vector Dense Retrieval Using Bit Vectors

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.02805.

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

pith.paper-citation-record.v1
2404.02805 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:25.469444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:49.785207Z

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 86580098-a282-435b-8c5f-52a15ef9b0c6 · inbound

WARP: An Efficient Engine for Multi-Vector Retrieval cites this paper.

WARP: An Efficient Engine for Multi-Vector Retrieval Efficient Multi-Vector Dense Retrieval Using Bit Vectors

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:25.469444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:25.469444Z digest=sha256:7c84ff089036da003c8373e8729241b7b7d48e0d2fc243c1015cc26821885efb

Observation ace4a8e1-e6a4-4079-997d-5e17814afbf5 · inbound

Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings cites this paper.

Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings Efficient Multi-Vector Dense Retrieval Using Bit Vectors

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:39:49.786884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T06:16:51.174659Z digest=sha256:9e2bd4999d916f4401858e57a62992daf6551f5895e033fda36d0a6a17628e54