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Paper Citation Record · LEDGER

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models

As of 5 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2604.19766.

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

pith.paper-citation-record.v1
2604.19766 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:36:38.095545Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2b1a52f-b613-457e-9872-baaf8ea39ed2 · outbound

This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:38:23.140274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:36:38.095545Z digest=sha256:1faecc38b1cf4db92c839df399d8dc30bfd0bfeb2857baf730bdcba5cc62e071

Observation 3937daf7-799d-46df-9ad8-3735de6dd369 · outbound

This paper cites InProceedings of the 2024 Conference on Empirical Methods in Natural Lan- guage Processing, pages 22600–22632, Miami, Florida, USA.

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models InProceedings of the 2024 Conference on Empirical Methods in Natural Lan- guage Processing, pages 22600–22632, Miami, Florida, USA

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:38:23.745607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:36:38.095545Z digest=sha256:f591b22da261a7e2e611c150d69d0fd52010904f536f9b78c27534eec6b81be7

Pith citing papers

No inbound Pith citation observations are available.