Paper Citation Record · LEDGER

Contextual Document Embeddings

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.02525.

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

pith.paper-citation-record.v1
2410.02525 v4

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:55.754849Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 749e99c0-5dd8-4bce-b6aa-61af8e982b63 · inbound

LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval cites this paper.

LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval Contextual Document Embeddings

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:55.754849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 461054fd-392b-4fb1-bdd9-7285558d2165 · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Contextual Document Embeddings

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:38.362337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437b6af7-f173-4e8b-895e-b1d14eb418da · inbound

Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks cites this paper.

Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks Contextual Document Embeddings

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:35:12.409301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0c437c-6a2d-4fb6-90c5-90fe7f890348 · inbound

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval cites this paper.

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval Contextual Document Embeddings

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T15:08:04.304445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce7d2e7-4216-4b0c-8b9b-11e217a0dc5b · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Contextual Document Embeddings

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-28T15:02:19.057496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.