Paper Citation Record · LEDGER

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.06918.

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

pith.paper-citation-record.v1
2110.06918 v3

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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:45:39.182763Z

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

2
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 a084afee-d14b-41fa-8633-ce13521c3043 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:21:17.021988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 701bb839-656c-46fa-a234-24723c378fae · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:21:17.049930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bde6865f-5762-40df-a57d-187530d04907 · inbound

Text Embeddings by Weakly-Supervised Contrastive Pre-training cites this paper.

Text Embeddings by Weakly-Supervised Contrastive Pre-training Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:54:04.013760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c2520fe-2e70-4aae-885a-46b7330bcc86 · inbound

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis) cites this paper.

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis) Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:39.182763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a8f1db-d9eb-4678-83eb-b5004bebd28b · inbound

Remining Hard Negatives for Generative Pseudo Labeled Domain Adaptation cites this paper.

Remining Hard Negatives for Generative Pseudo Labeled Domain Adaptation Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:12:37.717840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f23f4264-86c1-4fd2-b3f0-7d804bb8d2ed · inbound

CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs cites this paper.

CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:06.929799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.