Pith. sign in

Paper Citation Record · LEDGER

Dynamic Compressing Prompts for Efficient Inference of Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.11004.

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

pith.paper-citation-record.v1
2504.11004 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:01.301695Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:56:04.298735Z

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 8c0ec70f-de01-4ff0-8d68-0ee1d6ae92c3 · inbound

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance cites this paper.

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance Dynamic Compressing Prompts for Efficient Inference of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:01.301695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:01.301695Z digest=sha256:bcf0bba604f789b96d0672023d83e3e9def0dee2b6748537b2960be43f0df1d8

Observation af4445be-d3f8-4dcd-9753-01370a8f0a00 · inbound

Test-Time Learning for Large Language Models cites this paper.

Test-Time Learning for Large Language Models Dynamic Compressing Prompts for Efficient Inference of Large Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:56:04.372583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:55:59.940853Z digest=sha256:27acfdfaaa49edf9ffb716069392a9deddb6718165cb7bd9769bb5d960a8c738