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Paper Citation Record · LEDGER

Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.04643.

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

pith.paper-citation-record.v1
2102.04643 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:45:23.334070Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T22:17:47.340943Z

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 2bf93f61-3252-43e8-bc2b-5ef0dee58339 · inbound

Accelerating Retrieval-Augmented Generation cites this paper.

Accelerating Retrieval-Augmented Generation Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-11T15:45:23.334070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:45:23.334070Z digest=sha256:d2022fee95d99671f98d18c7d58a24e41cb8d9e11f56af1baa58c6b27e98a201

Observation beba0315-a91a-46be-a2cd-b1ec077fbe64 · inbound

Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities cites this paper.

Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:17:47.348578Z

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=2026-08-09T22:17:46.912485Z digest=sha256:95b97e1221bdebe4642bc1c4219281024fd3457a093da9cea43313004a01e2b3