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Paper Citation Record · LEDGER

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.20771.

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

pith.paper-citation-record.v1
2505.20771 v1

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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T22:23:14.621091Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:23:15.093019Z

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 712305fb-1508-4dbc-873b-aba345f54077 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

Reference 209

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:15.096245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:3a29e720302c34b4d3543b87622112fafd82313b88e67ee85a11dbc7e28ea8a1

Observation 21d42bc2-6309-49e4-a983-dbb95f2b1fe9 · inbound

Evaluation-driven Scaling for Scientific Discovery cites this paper.

Evaluation-driven Scaling for Scientific Discovery Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

Reference 135

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:08.218652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T03:39:52.204043Z digest=sha256:4f6f019081910667b96aec24d9651a2a9515862ae5a4e234783a4b4e4dd789bd