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Paper Citation Record · LEDGER

Xwin-LM: Strong and Scalable Alignment Practice for LLMs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20335.

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

pith.paper-citation-record.v1
2405.20335 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:34.654667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:33.343280Z

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 b80d26f0-17d0-4a92-9d7e-339649b3b648 · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions Xwin-LM: Strong and Scalable Alignment Practice for LLMs

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:34.654667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:34.654667Z digest=sha256:4a29ea85ab4462bbf265e18762a848e9ef9214beca8258bc05ee1899cdf2a13c

Observation e7f38d27-efc1-4fe1-9456-fc2b8f4671e9 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Xwin-LM: Strong and Scalable Alignment Practice for LLMs

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.347795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:55ad74c9201a853aeef2f589429d008cbbe768036697567e0f8308f6152619aa