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Paper Citation Record · LEDGER

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.13922.

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

pith.paper-citation-record.v1
2502.13922 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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:52:47.632055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T23:53:28.141663Z

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 a768f58d-d607-4b20-8741-76346deb2978 · inbound

Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation cites this paper.

Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:47.632055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:52:47.632055Z digest=sha256:b00448d853e42b2b62469f85b450c525e38908f1eebed7fd9fa6f58576b97e98

Observation 0f3ef289-c144-45d9-9ef6-38394afd707a · inbound

How to Train Your Long-Context Visual Document Model cites this paper.

How to Train Your Long-Context Visual Document Model LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T22:58:04.044792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:58:04.044792Z digest=sha256:681505f2d7b03842d693e035740ecdc611e298c9e3ff6fbda81365b33d904583

Observation 88f7a49b-a279-48b0-bb5a-058d9d4c22cc · inbound

Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.

Internalized Reasoning for Long-Context Visual Document Understanding LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:53:28.145479Z

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=pdf_text observed=2026-05-13T23:53:19.148407Z digest=sha256:d657672ed43ed8ec14ba957eae464d1c4c996bf7633b9e616fe75aab8156cffb

Observation 7425bf9e-bf3e-4dd0-bb82-a5213f678960 · inbound

Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.

Internalized Reasoning for Long-Context Visual Document Understanding LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T15:50:49.083652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:50:49.083652Z digest=sha256:8cacc9710f442c14bfd1ac031a7cf36910fcebd3d9a9ea46713fa220ee2a8a5f

Observation e0840c9d-0d06-48a4-8a8d-00c3d624e4f7 · inbound

OPSDL: On-Policy Self-Distillation for Long-Context Language Models cites this paper.

OPSDL: On-Policy Self-Distillation for Long-Context Language Models LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.382212Z

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=pdf_text observed=2026-05-10T06:07:36.830550Z digest=sha256:f35b4b4804032984f00b5da9934c3b050659af6f0a58c608ee443a351040a415