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Paper Citation Record · LEDGER

An Efficient Inference Framework for Early-exit Large Language Models

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.20272.

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

pith.paper-citation-record.v1
2407.20272 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 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:46.289589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:04:29.291609Z

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 643ba43f-04df-48d0-b5e1-3103ce0d0e3e · inbound

A Survey of Early Exit Deep Neural Networks in NLP cites this paper.

A Survey of Early Exit Deep Neural Networks in NLP An Efficient Inference Framework for Early-exit Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:46.289589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:40:46.289589Z digest=sha256:66c8ef91fad00fec99f5567508253d56d580e156b9396bedda975459942c1110

Observation e24c36b7-597e-4ba5-84eb-4d1af5bfe66f · inbound

River-LLM: Large Language Model Seamless Exit Based on KV Share cites this paper.

River-LLM: Large Language Model Seamless Exit Based on KV Share An Efficient Inference Framework for Early-exit Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:10:23.301602Z

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=arxiv_source observed=2026-05-10T04:36:46.851450Z digest=sha256:9002c90a479e9bad316a283bbcefacba683174f1c29f9342e2bf5f03e42a10e1

Observation 0b335389-b390-4c46-ab8e-ba3610bd242a · inbound

River-LLM: Large Language Model Seamless Exit Based on KV Share cites this paper.

River-LLM: Large Language Model Seamless Exit Based on KV Share An Efficient Inference Framework for Early-exit Large Language Models

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T12:31:00.026693Z

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=2026-07-05T12:21:15.141796Z digest=sha256:84bc5c1a7a5df147dd52a9bd98546f66575a40e08f8493722b903120d32a6e4d

Observation 760bcdea-187a-4c41-87de-96d5f3d5ea1c · inbound

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade cites this paper.

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade An Efficient Inference Framework for Early-exit Large Language Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-08T04:04:29.292950Z

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=2026-07-08T03:54:37.954084Z digest=sha256:9e1d2f4997a2b01d5ed050879d1cea66d06c459e386d22f5d6d0e1c03ad9fd54

Observation 5fd9bcd5-bf08-462d-a7b1-194eabb774b7 · inbound

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade cites this paper.

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade An Efficient Inference Framework for Early-exit Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T08:18:05.427095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:18:05.427095Z digest=sha256:b457b7d494435a8e7566e9d33f8b07581cde9f1210bfa565d3c205dfb5754aae