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Paper Citation Record · LEDGER

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.16844.

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

pith.paper-citation-record.v1
2402.16844 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:46.217676Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 80188a3d-4398-4158-af0d-294f3c38082b · inbound

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? cites this paper.

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:46.217676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:46.217676Z digest=sha256:20d528bbcb177a718479f096550e1aff0c69adddfb233b696758c50b4b2896d1

Observation 66362ddf-7735-4f31-bd6f-f2f66a16fe2e · inbound

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs cites this paper.

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:34.244669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:16:25.544808Z digest=sha256:12603f2e5e3807cb4c8b442dd42ebc4a28bc55ea2e45e1e146093a8ffb411fc6