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Paper Citation Record · LEDGER

Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.04660.

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

pith.paper-citation-record.v1
2304.04660 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:50:40.841967Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.764961Z

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 e0fe818e-9ab4-42ea-a4cd-e75b9c450f5f · inbound

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning cites this paper.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.275082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:f640d6b22e79e0c132b3d88b0ae63518a49f1e88b30e95fda0a5b944327b01fd

Observation 3fcd8950-28e8-4bed-95be-99afd5fbdc8e · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning

Reference 216

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:42.766287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T10:50:40.841967Z digest=sha256:55081196ab82503b60ade35c3d6fc7f9ccbf752afd07613ad3a7389850274245