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Paper Citation Record · LEDGER

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.02832.

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

pith.paper-citation-record.v1
2503.02832 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T07:01:56.628017Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T12:33:45.141022Z

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 eff492cf-dfc0-4f0c-bd8c-78c93e0f1589 · inbound

Evolving Knowledge Distillation for Lightweight Neural Machine Translation cites this paper.

Evolving Knowledge Distillation for Lightweight Neural Machine Translation AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:56:24.364394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:48:53.586742Z digest=sha256:b4988e50d6876fb497fd941421fbe74fbc0fb63f9ab4ed7161861f740575b5aa

Observation a444c85e-e6f8-4412-b384-5b82a1d192b7 · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-07-07T12:33:45.142618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-07T12:31:42.224094Z digest=sha256:c25e29ed13a506cb4a2ed9135996d060e498568902229f427893612ac0861445

Observation dae33936-2343-424a-a54f-d8b6cb275983 · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-11T07:01:56.628017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T07:01:56.628017Z digest=sha256:ae9f59f394bfda9b8c1f9faf27c4d093301d229988919b26068e7c9025f43b28