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Paper Citation Record · LEDGER

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.20750.

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

pith.paper-citation-record.v1
2407.20750 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:41:34.252299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:17:07.538450Z

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 f324e578-7512-4c87-9cc1-128ff1f9ea02 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:46:47.145882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:550a289f1b1ccc45f2f834423a20f5b6476a088dab1eeaa82a519ff8bab6c656

Observation e12cb406-66e5-472f-8628-c554a8e20561 · inbound

Artificial Intelligence and Misinformation in Art: Can Vision Language Models Judge the Hand or the Machine Behind the Canvas? cites this paper.

Artificial Intelligence and Misinformation in Art: Can Vision Language Models Judge the Hand or the Machine Behind the Canvas? JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T05:41:34.252299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:41:34.252299Z digest=sha256:852509486a89574a72f253007ee39f12eaf4e6a750bf5266949e5c791669686e

Observation a56ee20f-1675-472f-8780-99e596be0b27 · inbound

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation cites this paper.

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T04:23:40.852641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:23:40.852641Z digest=sha256:d086a815b57b9b18a9e765433a2d77539a6123fd1fb38e5a192cef2c16c0aff1

Observation e3457627-1ed8-41e6-a8ac-1a5e6189468a · inbound

A Replicability Study of XTR cites this paper.

A Replicability Study of XTR JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:16:06.288358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T18:26:55.357047Z digest=sha256:581d991726e5a8edb5757216404182f46c812178755d8c6f41932b91994d4961

Observation 5e4d76df-f775-4eae-a66e-a843526368c0 · inbound

ColBERTSaR: Sparsified ColBERT Index via Product Quantization cites this paper.

ColBERTSaR: Sparsified ColBERT Index via Product Quantization JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.539799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T00:01:32.164481Z digest=sha256:5289bc97b830b8aad08f9259f14f61eeb2ec9b472d9fda24035a7f1b463dbb49