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Paper Citation Record · LEDGER

Large Language Models are Built-in Autoregressive Search Engines

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.09612.

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

pith.paper-citation-record.v1
2305.09612 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:42:36.567462Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:35:25.586450Z

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 728a0ab1-931b-4c96-be59-189c2cd35e9c · inbound

Towards a Middleware for Large Language Models cites this paper.

Towards a Middleware for Large Language Models Large Language Models are Built-in Autoregressive Search Engines

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T15:33:15.964358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:33:15.964358Z digest=sha256:52a19e74caffb8cc77f302c5058da53eb37f827629e5aec4821a8dba2c92c956

Observation 30dc3cc4-568f-44af-9d1a-d08da8c9eefa · inbound

OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising cites this paper.

OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising Large Language Models are Built-in Autoregressive Search Engines

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T18:48:44.667537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:48:44.667537Z digest=sha256:a41107e7738698bd998a82f033d9faa3dfd773e04e12b1a813b2487a35c19a64

Observation a8e9ddd7-c66b-494e-b5c6-c45b69510f06 · inbound

Replication and Exploration of Generative Retrieval over Dynamic Corpora cites this paper.

Replication and Exploration of Generative Retrieval over Dynamic Corpora Large Language Models are Built-in Autoregressive Search Engines

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T10:42:36.567462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:42:36.567462Z digest=sha256:b82b08dcb2a080bbc9f052cd9de638abe81167b3d2a51eacbb4136e274a587bf

Observation 1468322e-b72f-4504-b88a-be7c08d7a9cd · inbound

Are Large Language Models Good at Detecting Propaganda? cites this paper.

Are Large Language Models Good at Detecting Propaganda? Large Language Models are Built-in Autoregressive Search Engines

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.555765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.555765Z digest=sha256:b54790c59e3eab9ed6a0154c9a7de6fa83a5368dd7d09db173270d0cc4da2213

Observation 6739c496-9f46-49da-b987-058f959e858a · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Large Language Models are Built-in Autoregressive Search Engines

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:45.533343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.533343Z digest=sha256:108a5ed3f0c989c08098d6add2bc49f8eea209187bf2c1b91686e3abb5e51f23

Observation 1f310b8f-bf0c-435e-80b9-af748f1c4898 · inbound

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models cites this paper.

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models Large Language Models are Built-in Autoregressive Search Engines

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:25.654515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:35:19.944869Z digest=sha256:b6539bedf33c349b0026ace664740abf8742ba3ea804b4f4679ec13ef5f6987d