Paper Citation Record · LEDGER

Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.12465.

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

pith.paper-citation-record.v1
2502.12465 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:23:51.683656Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:06:55.433556Z

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 78351fb6-0bc2-4d51-b568-5f4c6915fac4 · inbound

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes cites this paper.

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T10:23:51.683656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d966ab1b-bb53-406d-a615-4fa185ef0a94 · inbound

Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning cites this paper.

Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T05:49:24.960537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faebd7c4-9768-43bd-88ee-5c10adc41c4f · inbound

Multi-agent imitation learning with function approximation: Linear Markov games and beyond cites this paper.

Multi-agent imitation learning with function approximation: Linear Markov games and beyond Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T20:42:07.934415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25c2f1f-821b-4993-b267-c7e2cc0109d0 · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:06:55.435026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a212c74-7aa4-494e-88e0-d435fd51322d · inbound

When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon cites this paper.

When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:44:21.722568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.