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Paper Citation Record · LEDGER

Learning to branch with Tree MDPs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.11107.

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

pith.paper-citation-record.v1
2205.11107 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:27.990784Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 346d5815-76a8-45c3-94a5-9d95413a785a · inbound

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization cites this paper.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning to branch with Tree MDPs

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:27.990784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:27.990784Z digest=sha256:0c3d9bcde2711ee97f8b14f5b160c7c4c1888ff8584278dac65ebf0975076815

Observation 30747c74-d84d-467a-9eb6-4bfd4d8e3087 · inbound

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching cites this paper.

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Learning to branch with Tree MDPs

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:01:46.229114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:01:44.927157Z digest=sha256:fa25464235a3c985534ffbafe455cd75be63af3ccec456c56c148dce65445baa