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Paper Citation Record · LEDGER

Question-Based Retrieval using Atomic Units for Enterprise RAG

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.12363.

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

pith.paper-citation-record.v1
2405.12363 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:58.514370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:32:17.379611Z

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 55faf342-6c13-46a3-bbd5-8a38b6b64d53 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Question-Based Retrieval using Atomic Units for Enterprise RAG

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.381103Z

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=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:98f69f14659450507776a2fd23d2821e4b6ba1ad28a466d00d09babe1743375d

Observation 499b3be9-2e1e-472d-8aaa-0ad57f4ed46c · inbound

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation cites this paper.

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation Question-Based Retrieval using Atomic Units for Enterprise RAG

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:58.514370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:09:58.514370Z digest=sha256:6f0e1073778d709cb5f0fbafa8b19b29a218c4bbc1b6d048cdfc258970808d66