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Paper Citation Record · LEDGER

Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.04496.

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

pith.paper-citation-record.v1
2411.04496 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:17.838987Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:24:32.676127Z

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 48d5a64c-a048-4dfc-ab78-31d667ff7fe9 · inbound

Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions cites this paper.

Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:17.838987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:17.838987Z digest=sha256:550e29abf090425a87db65cf8822523825e2b3db63d680a2c701761aede39448

Observation 9714f66d-e114-46bc-8267-424ebe294caf · inbound

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks cites this paper.

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:24:32.677935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T09:15:22.900338Z digest=sha256:99ec2fa4139b6fc917df8ed1c82d9a59cff8bbb204226ddb746f4fce71ba8a6a