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Paper Citation Record · LEDGER

Vanishing Gradients in Reinforcement Finetuning of Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.20703.

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

pith.paper-citation-record.v1
2310.20703 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:53.652373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T16:28:05.645091Z

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 b0101030-01d9-421d-8a35-a662453e089f · inbound

Learning Explainable Dense Reward Shapes via Bayesian Optimization cites this paper.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Vanishing Gradients in Reinforcement Finetuning of Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T11:13:53.652373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:13:53.652373Z digest=sha256:4514537280914177274d454c12eb93d52d489258dcced1c6e0e88138512b868b

Observation fbe4f1d8-2ca6-4ba5-b41b-280e2913fd18 · inbound

DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management cites this paper.

DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management Vanishing Gradients in Reinforcement Finetuning of Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:20.459475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:20.459475Z digest=sha256:562c600c8ef9d56cb0c4e4f5c78df2cb51e8b94daa7ea9d8891351c1e2714044

Observation b9b8c2c9-76d6-4051-8401-5bab14caf8f1 · inbound

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning cites this paper.

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning Vanishing Gradients in Reinforcement Finetuning of Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-16T16:28:05.647406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T16:24:04.132572Z digest=sha256:1e1a46b283c39c59dcffb48f299684cf3d59602019987f8d8a53696177532ee8

Observation 7f49cdb9-0e17-420c-8875-b45131c5558c · inbound

Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning cites this paper.

Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning Vanishing Gradients in Reinforcement Finetuning of Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:40:20.933757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T21:38:56.393217Z digest=sha256:31315c06fc3640ae1f0ddcc166b1cab0faca0e40e54256108a43ee9129a815e2