Paper Citation Record · LEDGER

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.06762.

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

pith.paper-citation-record.v1
2304.06762 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:33.645211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:57.055424Z

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 f3acc196-f6ab-4642-a228-c30ea62bb070 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.564004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7a39e77-2a7b-4ac8-8eed-8bb2d62309c2 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:57.058399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b07151b-190e-44a5-8c96-9dddf446bfea · inbound

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T13:07:16.368852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce5ca023-3694-46ac-996c-6e4c05308835 · inbound

Shifting from Ranking to Set Selection for Retrieval Augmented Generation cites this paper.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.645211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e2c9bf8-1767-4ebd-8781-b8bc7794d76e · inbound

Automated Evaluation of Gender Bias Across 13 Large Multimodal Models cites this paper.

Automated Evaluation of Gender Bias Across 13 Large Multimodal Models Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T23:07:46.372881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.