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Paper Citation Record · LEDGER

Octopus: On-device language model for function calling of software APIs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.01549.

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

pith.paper-citation-record.v1
2404.01549 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:42:31.183464Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:30:59.623425Z

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 236fdded-2a9d-401e-ba63-e833673e504b · inbound

SlimLM: An Efficient Small Language Model for On-Device Document Assistance cites this paper.

SlimLM: An Efficient Small Language Model for On-Device Document Assistance Octopus: On-device language model for function calling of software APIs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T20:13:20.011457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:13:20.011457Z digest=sha256:583b9f1f230647b635dec34951ca1e09494ae0c2bf276357e4b7cd968b4bb74f

Observation 9816e3c0-8a36-423c-b07e-4fdda0611391 · inbound

Less is More: Optimizing Function Calling for LLM Execution on Edge Devices cites this paper.

Less is More: Optimizing Function Calling for LLM Execution on Edge Devices Octopus: On-device language model for function calling of software APIs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T14:24:11.791121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:24:11.791121Z digest=sha256:eea3cae057c440fbfb46e24538ee3023a60f78eaf60a579f75bc571f77f29b39

Observation 36a2335b-bfd1-449f-b5d6-28204fea68f7 · inbound

FREYR: A Framework for Recognizing and Executing Your Requests cites this paper.

FREYR: A Framework for Recognizing and Executing Your Requests Octopus: On-device language model for function calling of software APIs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T17:37:18.486585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:37:18.486585Z digest=sha256:b638459f8b85357d4003126d47342a8eb1c8388343edcc57959399cf6c50289b

Observation 66559784-6238-484e-98b1-08360b7ece00 · inbound

MARFT: Multi-Agent Reinforcement Fine-Tuning cites this paper.

MARFT: Multi-Agent Reinforcement Fine-Tuning Octopus: On-device language model for function calling of software APIs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:42:31.183464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:42:31.183464Z digest=sha256:c9469403613220f1795ae17317e1e815ec1ea26772560a2a5ae2e4ae5304fcaa

Observation cc92f454-1f8e-4308-9332-664d906ed87c · inbound

LLM-Powered Virtual Patient Agents for Interactive Clinical Skills Training with Automated Feedback cites this paper.

LLM-Powered Virtual Patient Agents for Interactive Clinical Skills Training with Automated Feedback Octopus: On-device language model for function calling of software APIs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T18:54:12.954617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:54:12.954617Z digest=sha256:2c6c7257c148942fd4024c5229ce5db5d37d8dc21e4708fcdceb1612479f4d45

Observation 737bcdc0-ed6c-41fd-bfdd-abd7979ed6b2 · inbound

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling cites this paper.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Octopus: On-device language model for function calling of software APIs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-21T01:21:38.414887Z

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=pdf_text observed=2026-05-18T06:30:39.858246Z digest=sha256:aa2c150bb5ca20b106a7fae72a88770b934cb24fbf97b0ec24b699c7b1b8503c