Paper Citation Record · LEDGER

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.08696.

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

pith.paper-citation-record.v1
2408.08696 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:51:39.194431Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:57:08.086244Z

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 298551fb-15a2-483d-8cf5-17bd68e4c062 · inbound

SAM Decoding: Speculative Decoding via Suffix Automaton cites this paper.

SAM Decoding: Speculative Decoding via Suffix Automaton Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:32:52.240883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdb2ed7-8c12-4188-954e-406a4bf8c2b0 · inbound

Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding cites this paper.

Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T18:42:15.049947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91872f8d-8c02-43dd-9757-96b0200f32de · inbound

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding cites this paper.

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:42.069379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8544e7-c70e-461d-9624-3c18cbaf0ee0 · inbound

POSS: Position Specialist Generates Better Draft for Speculative Decoding cites this paper.

POSS: Position Specialist Generates Better Draft for Speculative Decoding Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:15.639427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f223c0e0-0473-4930-a912-bdac43ab6c89 · inbound

LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation cites this paper.

LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:57:08.089239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2e14b5f-dd0d-46d7-b108-ba6cde3cc944 · inbound

SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification cites this paper.

SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:39.194431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdde34a-5e9f-4eed-9072-bd081c03cfe0 · inbound

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match cites this paper.

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:09:03.754843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.