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Paper Citation Record · LEDGER

RAGent: Retrieval-based Access Control Policy Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.07489.

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

pith.paper-citation-record.v1
2409.07489 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 2026-08-07T13:16:54.779160Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:44:00.153314Z

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 bda0b597-2af4-4d2f-b025-eb0abc823837 · inbound

Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things cites this paper.

Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things RAGent: Retrieval-based Access Control Policy Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:54.779160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:54.779160Z digest=sha256:0791032a70f83ec99fdeada4c516d828fa6ee6a7052eaddaf96c1b4322cbb09d

Observation 72fa6a89-92e5-439a-b933-439aa24f0a6a · inbound

L0: Reinforcement Learning to Become General Agents cites this paper.

L0: Reinforcement Learning to Become General Agents RAGent: Retrieval-based Access Control Policy Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:00.007761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:00.007761Z digest=sha256:821961276511c6aed78e9c4492298cf41832606fab250da4bed8743e32e317c5

Observation 2590b9b1-17cc-423e-a74a-1b8797d113a7 · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems RAGent: Retrieval-based Access Control Policy Generation

Reference 132

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:44:00.156099Z

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=2026-08-05T15:43:59.027118Z digest=sha256:d64056c5de4515f8fc7e4a667ac258d53ec85ab0b1666097c0202bb38ee8cec6