Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:42:15.049947Z

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 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.

source=arxiv_source observed=2026-08-08T18:42:15.049947Z digest=sha256:1dbd86cd75951ea9dc516759a30a63b2ad02580be8f620d28e4951b37918ad54

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.

source=arxiv_source observed=2026-08-07T14:32:42.069379Z digest=sha256:a0249cbc4c24db9071181d39ba42aa08f0638dfab0c993955715820e2fc333bc

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.

source=pdf_text observed=2026-08-07T11:04:15.639427Z digest=sha256:0928e45afcfc3d03fdca5368c4364e998a9b6c82ed55673f3c047e1dc8e009d2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T06:53:02.744567Z digest=sha256:b1a8c3095713fed2fd74f70423d704357b1f7429c58f6c50737727c9106ffb1d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T05:07:11.466066Z digest=sha256:0993b113f4614c0069c7f5aebf77e8d3f67d093ee70240cfa4883c55c76b737c