Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14655.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:41:01.810935Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T02:19:22.843465Z
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 633d9e15-5668-4026-a15a-98c97f4388f9 · inbound
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:46:05.941814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b6226a1-006f-46ad-b9a3-b345c049ad21 · inbound
GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis cites this paper.
GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T02:19:22.844896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9a3f2ca5-b2b2-46fe-9bd1-7c02ecb0b083 · inbound
WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA cites this paper.
WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Reference 104
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:41:01.810935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.