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Paper Citation Record · LEDGER

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.00079.

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

pith.paper-citation-record.v1
2410.00079 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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:09:20.742173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:51:03.776026Z

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 b68f2d78-388b-4ab2-a610-fcb11b6649f1 · inbound

Semantic Scheduling for LLM Inference cites this paper.

Semantic Scheduling for LLM Inference Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T01:09:20.742173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:09:20.742173Z digest=sha256:4d0e4a4d8b94d9f432189e80fac70d5a8ee6f53a4ad70f83fbf708275cb08fd9

Observation e56ac321-f401-4885-848f-3fc84bc9692f · inbound

MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning cites this paper.

MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T05:36:18.309017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:36:18.309017Z digest=sha256:b2b2868cb21fffa120c938cbf8f40786fbab72393a2768a89d6c5c6b42b0f9d0

Observation 1fbf9664-dbfb-4995-91d9-846971cbc2f5 · inbound

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent cites this paper.

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:52.572385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:51:39.564680Z digest=sha256:8a09ad6b8bad14952f23af144392d09cba6e20a87c243a76b592fd5813030ee1

Observation ae96871c-22aa-4f8f-af42-3b65c65c4908 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:03.785345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:b70ca2d8f2f4954f98c7729a2a74212889b4edd0e73e546af788717d4781a5da

Observation 4000533e-6bf0-4247-80a1-0e9f9f2a52bf · inbound

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees cites this paper.

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T08:40:18.796480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:40:18.796480Z digest=sha256:833bf1c181720e2cfab14f7c5780287e9d68ae0cfb27b5b53732eef2df858d71