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Paper Citation Record · LEDGER

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.10613.

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

pith.paper-citation-record.v1
2408.10613 v3

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:28.684763Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:35:03.934920Z

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 435682e5-2e2c-459c-92ff-def60a5abcd3 · inbound

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval cites this paper.

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:28.684763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:28.684763Z digest=sha256:571a712e8e9835e01efe6ecf0f22f628095370f6d3f6752dd163bbeaf4f1837c

Observation 350c7de1-abda-48ed-8fd2-4ef6f4a7c7e5 · inbound

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval cites this paper.

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:35:03.936693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T19:35:02.029358Z digest=sha256:34dc02500440a559d66201e02990bc065dcc07d85116603ca9a5ab4b0cf38e7e

Observation c813735f-13dc-416a-9c07-572026f8a7b6 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Reference 278

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.481979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.481979Z digest=sha256:ed2f3fc61964d463f1611d8844bf69e3d9f1b1a47e4bfec1642be00d6a9790ea