Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T18:52:23.076742Z
Paper Citation Record · LEDGER
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
As of 6 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2605.27354.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bb4baeac-24e1-4205-91b3-59272325390a · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders Training Verifiers to Solve Math Word Problems
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:53:51.088894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 03bf5607-b10b-449b-a634-e532ed7c9bac · outbound
This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T18:53:51.085914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 80c65c78-b445-46af-be9b-63c85df82cec · outbound
This paper cites Improving data efficiency for llm reinforcement fine-tuning through difficulty-targeted online data selection and rollout replay.arXiv preprint arXiv:2506.05316.
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders Improving data efficiency for llm reinforcement fine-tuning through difficulty-targeted online data selection and rollout replay.arXiv preprint arXiv:2506.05316
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T18:53:51.082906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.