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Paper Citation Record · LEDGER

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.11550.

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

pith.paper-citation-record.v1
2402.11550 v2

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 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:53:22.565482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:56:47.326486Z

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 fecf0dcf-b274-4a34-b8e0-f75cb72ceae1 · inbound

VCA: Video Curious Agent for Long Video Understanding cites this paper.

VCA: Video Curious Agent for Long Video Understanding LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-11T16:51:15.406260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:51:15.406260Z digest=sha256:a4f6c53034771926b2132669d165df6b571f996cdc39403bf803c9a8c97d5dd5

Observation fca512a7-c495-4570-b4a4-dd15b6281d42 · inbound

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application cites this paper.

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T05:29:24.657256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:29:24.657256Z digest=sha256:8a8228921edd9ed6d7e32c78c2eca5428cff73cabc26bfcf525470462b0488d4

Observation c0fb0fd3-f755-46ce-9975-d0600d8c78e2 · inbound

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models cites this paper.

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T20:33:22.928857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:33:22.928857Z digest=sha256:6d291c7039d9ad0863865c9d8863023e07d4b86959b8fb6ed6cce87cc2af5c82

Observation 17e74caf-84c7-43e1-a4d3-8b93b7cd0ec4 · inbound

HERA: Improving Long Document Summarization using Large Language Models with Context Packaging and Reordering cites this paper.

HERA: Improving Long Document Summarization using Large Language Models with Context Packaging and Reordering LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T19:01:34.608737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:01:34.608737Z digest=sha256:2933b8350e46176ddd4e458031d79e67123a8484c118aed53a71a27d412a9a4d

Observation a62a3b8a-c90e-4285-af7d-1eac525e9940 · inbound

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering cites this paper.

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:22.565482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:53:22.565482Z digest=sha256:6003e118cfd55771c528183fbd82e38686f865b1a3f64ac386a61b1b9462c027

Observation 68065708-a7ee-4821-a03d-6e3de2cb1aee · inbound

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control cites this paper.

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T15:18:57.713495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:18:57.713495Z digest=sha256:b27e7e8f5768af2fbfe5ca4a3098ae52ec7bc825b794af198b7b4ff45d758429

Observation f777e9be-807b-4ef1-ba13-719e1d14d6c6 · inbound

GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning cites this paper.

GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.328098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:33:32.090913Z digest=sha256:998e491e6d4563a26d34e127ec8d5a37a4f4622651a94aef165e39e68219fb9f