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Paper Citation Record · LEDGER

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.13085.

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

pith.paper-citation-record.v1
2306.13085 v1

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:28:22.496988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:43:30.964964Z

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 e7808497-6836-470c-9dd5-24805ace33f6 · inbound

Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation cites this paper.

Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T18:28:22.496988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:28:22.496988Z digest=sha256:d7d9b6d9b0888f91ca1fbae114f97bbba8757e10491ebeef9534c937c26b4e81

Observation 07a15643-82ea-4fc2-92e2-0ffcd406dbca · inbound

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training cites this paper.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:53.134962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:53.134962Z digest=sha256:40349d376bc4b254a8941e61ea27e20da247e59d6a3ea116c96930fb283f8353

Observation 118ec885-b11e-4736-9d4d-360e3db555d8 · inbound

SPAR: Support-Preserving Action Rectification cites this paper.

SPAR: Support-Preserving Action Rectification Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:43:30.966692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T14:34:39.094753Z digest=sha256:6407e25462dbed1857ca188035cf385d742d645a6dc02874c75531bd2c357985