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Paper Citation Record · LEDGER

Parallel-mentoring for Offline Model-based Optimization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.11592.

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

pith.paper-citation-record.v1
2309.11592 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T11:10:50.524608Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T11:11:27.313432Z

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 31f67941-fab6-4b36-8467-075ba8e24e29 · inbound

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks cites this paper.

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks Parallel-mentoring for Offline Model-based Optimization

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:20:59.696233Z

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=2026-05-10T16:06:24.700048Z digest=sha256:fb3b0ab6fb48f34c326ae25b4f97b9421700a31bebe64a7f7834f3554b6c9a58

Observation bd3b2d8f-b173-4cc0-99a2-2ae5405871f6 · inbound

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks cites this paper.

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks Parallel-mentoring for Offline Model-based Optimization

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:29:17.193149Z

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=2026-05-21T00:28:29.301709Z digest=sha256:6952580fb9c5c2610c528dba8df6f3371336861036cdb8e6d0107be84b59374a

Observation 11fc866f-0f86-425d-9f8b-a750aa8999eb · inbound

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks cites this paper.

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks Parallel-mentoring for Offline Model-based Optimization

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:11:27.316682Z

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=2026-05-22T11:10:50.524608Z digest=sha256:ccc49462104d25e9e678dad1bc21728048fb036ce8ea5706e5b8e65c540f673b