Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:45:44.593848Z

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
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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 19d58762-5ad6-4adc-92d9-4784ea78be1f · inbound

Beyond Questions: Leveraging ColBERT for Keyphrase Search cites this paper.

Beyond Questions: Leveraging ColBERT for Keyphrase Search JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T22:45:44.593848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-21T06:32:19.484+00:00.

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.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.