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Paper Citation Record · LEDGER

Process-Supervised LLM Recommenders via Flow-guided Tuning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.07377.

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

pith.paper-citation-record.v1
2503.07377 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:13.523484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T02:40:56.938609Z

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 59d7bd21-2905-4541-92be-d2c61ff18d0d · inbound

Fine-grained List-wise Alignment for Generative Medication Recommendation cites this paper.

Fine-grained List-wise Alignment for Generative Medication Recommendation Process-Supervised LLM Recommenders via Flow-guided Tuning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:40:56.941188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T02:36:35.053784Z digest=sha256:539784233fa16c4cacda0274de0e6f99ed2b4b24cac5a2d6f09efff6bc633a68

Observation cc97917f-7eba-4afc-ae4e-8850de432f52 · inbound

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks cites this paper.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Process-Supervised LLM Recommenders via Flow-guided Tuning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:13.523484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.523484Z digest=sha256:966e8b9a09667ecdf7a05654be07d1ffdf21a54a29f9c2aceb9be24fc613e351