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Paper Citation Record · LEDGER

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.12194.

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

pith.paper-citation-record.v1
2408.12194 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:25:12.295016Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:07:20.059499Z

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 14cef131-ad4b-4232-aab1-308a3e88632c · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T12:25:12.295016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.295016Z digest=sha256:967ff6832f403be5db7b5b57cda8c4caff8ea04fe42d5f740d2542716bf0ff2f

Observation be74f976-bc67-44dc-b055-3a407859985e · inbound

TongSearch-QR: Reinforced Query Reasoning for Retrieval cites this paper.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:07:20.064856Z

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.

source=arxiv_source observed=2026-08-07T04:07:19.389536Z digest=sha256:21b158e92e64974f99e7e9623cf64fb3772a048e457d2cae58c2db3cbb9ad2fa

Observation ece0b024-b48f-466f-8953-db3029a31a1d · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T09:50:45.193217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:50:45.193217Z digest=sha256:0dc4e07afbb7baee1bbcdaa7fa8fcb8b23081ee90340442a4b9ba14e6322be93