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Paper Citation Record · LEDGER

Aquila2 Technical Report

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.07410.

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

pith.paper-citation-record.v1
2408.07410 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:25.457413Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:56:09.479353Z

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 830f669c-8fa3-4ed6-9c4d-0799f5db4611 · inbound

Emu3: Next-Token Prediction is All You Need cites this paper.

Emu3: Next-Token Prediction is All You Need Aquila2 Technical Report

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:09.493284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T10:56:06.418360Z digest=sha256:56c3c3ea7c6289a296e2cb33e9624bb0c85b3760671e8d31d4f4579109e93ad4

Observation 8693bf94-a9f9-45df-90ac-c51949688907 · inbound

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models cites this paper.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Aquila2 Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:25.457413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:25.457413Z digest=sha256:8d09b0309c1b8b704b24c51ea805d4f02538af5d9e09e54a54bbc9e7853bddf3