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Paper Citation Record · LEDGER

Pre-training with Synthetic Data Helps Offline Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.00771.

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

pith.paper-citation-record.v1
2310.00771 v4

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:26.720733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:14:29.137970Z

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 a227dc90-bdce-4ee6-84be-e0a97a2f16cb · inbound

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning cites this paper.

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning Pre-training with Synthetic Data Helps Offline Reinforcement Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:14:29.283058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:14:26.720733Z digest=sha256:df56f91114e955a04976e8c0fa966c0735d2d8904861ed555205f971e4ba5c81

Observation a56a154d-862c-41f4-aed6-d7ee3789c75b · inbound

Procedural Pretraining: Warming Up Language Models with Abstract Data cites this paper.

Procedural Pretraining: Warming Up Language Models with Abstract Data Pre-training with Synthetic Data Helps Offline Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T06:55:10.118898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:55:10.118898Z digest=sha256:bb693cb34938ccbc2daeca7b176f14f20f71805ea2ec0dc89cf3c8454f7d9ab4