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Paper Citation Record · LEDGER

Concise and Precise Context Compression for Tool-Using Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.02043.

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

pith.paper-citation-record.v1
2407.02043 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T15:31:30.563780Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:13:01.706514Z

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 255c97c4-7ac7-4d4f-9b58-020a36127ad2 · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Concise and Precise Context Compression for Tool-Using Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.709887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:9db1699e3d7900936bb55f1d27a1d438d4fadbfd8291a52575478b675a58b5a7

Observation c7330dc8-cf94-426c-a012-3fd5a9f5da95 · inbound

SkillReducer: Optimizing LLM Agent Skills for Token Efficiency cites this paper.

SkillReducer: Optimizing LLM Agent Skills for Token Efficiency Concise and Precise Context Compression for Tool-Using Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-13T15:31:30.563780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:31:30.563780Z digest=sha256:a32a5445ef44af5ef2a3bbc665f9e351d4cb79f07d455b2469bffe065be0ddda