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Paper Citation Record · LEDGER

Rethinking the Instruction Quality: LIFT is What You Need

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.11508.

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

pith.paper-citation-record.v1
2312.11508 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:27.423317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:23.948182Z

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 9f420970-fd17-44c7-bd8e-27f44efc7e7c · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Rethinking the Instruction Quality: LIFT is What You Need

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:23.951356Z

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=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:a4365366a10443d268d6ccd92affa2396fafc69fc759e4e209ba860538e882b7

Observation 464d79b7-0392-4fc9-a5be-e98f6bd022f6 · inbound

Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection cites this paper.

Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection Rethinking the Instruction Quality: LIFT is What You Need

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:27.423317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:36:27.423317Z digest=sha256:3e84cf9175a4974417334e5b3cb6bc24743e7ed6caa8535bb9b8353ab9915c39

Observation a2eb3993-4f60-45d6-8c21-3b1ea6afc418 · inbound

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning cites this paper.

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning Rethinking the Instruction Quality: LIFT is What You Need

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T14:13:52.181382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:13:52.181382Z digest=sha256:e65f15ffcda79f1c081afbfcbf82709e216f17a76147fc2ac1bb9d2734df85cb