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Paper Citation Record · LEDGER

CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.11471.

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

pith.paper-citation-record.v1
2505.11471 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T23:58:19.040016Z

measured 1 of 1 external citation measurements

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

Source: pith, 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
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d45fff0e-fb2a-44b9-b396-70cd8efece80 · inbound

LEMUR: Learned Multi-Vector Retrieval cites this paper.

LEMUR: Learned Multi-Vector Retrieval CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:01:30.284713Z

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=2026-05-22T11:56:41.934325Z digest=sha256:273e7eda452db958f44b5f48a86fe561f6e6eb0e48a4607ee24358f0767cb9b6

Observation 1fa5c2ec-030f-422f-a607-43f56d585a56 · inbound

A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models cites this paper.

A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:10:00.683288Z

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=2026-05-15T13:09:26.984905Z digest=sha256:28c10736001444e06f7406547ce431487e141b788d4e36d4e2a833261a862be3

Observation 3be3f26f-0284-41ef-8df3-3d09e372b7f3 · inbound

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval cites this paper.

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:31:04.204427Z

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=2026-05-10T15:26:44.498777Z digest=sha256:454a0d5f21d84eb09b7067e9757d0bccd013a325e15c3eff267a0ba7b2c6ecdb

Observation 384ffb55-1491-4690-ba5b-315f0a2ba7e6 · inbound

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models cites this paper.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

Reference 33

Resolution
malformed identifier
local_arxiv, observed 2026-07-09T00:05:47.872793Z

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=2026-07-08T23:58:19.040016Z digest=sha256:43d7b5e14552c11eeb013107b65c0ee8f7985384ed8a6ec8c7242a5100e606ff

Observation fb340b0e-4613-4039-ab37-b6f4b88d4041 · inbound

Learn to Pool: Lightweight Fine-Tuning for Flexible Multi-Vector Compression cites this paper.

Learn to Pool: Lightweight Fine-Tuning for Flexible Multi-Vector Compression CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-08T18:55:28.213776Z

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=2026-07-08T18:45:34.929157Z digest=sha256:d0d1bec517be0ddbe3971d4a80ff88df1ad126708cbaa3976bee5d823608841f