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Paper Citation Record · LEDGER

Tool-integrated Reinforcement Learning for Repo Deep Search

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.03012.

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

pith.paper-citation-record.v1
2508.03012 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:15:20.587530Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 da5e1355-b022-4f82-89f7-847d6ac185fe · inbound

Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning cites this paper.

Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning Tool-integrated Reinforcement Learning for Repo Deep Search

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T12:15:20.587530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:15:20.587530Z digest=sha256:67cb01093180aa4cb4e93fa7a722b0a904f9aa9c6d2fc77ce3c09795f4b6937c

Observation d938f024-76a9-4270-bd6e-582b3a69f9eb · inbound

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization cites this paper.

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization Tool-integrated Reinforcement Learning for Repo Deep Search

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T23:55:30.669492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:55:30.669492Z digest=sha256:60de72c5e7dd17971e9e2bc59ccc53d47a3a74120f8d3aaa57dfa7d9b4f466d9