Paper Citation Record · LEDGER

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.12952.

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

pith.paper-citation-record.v1
2410.12952 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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:42:18.630700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:55:46.371921Z

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 11e283ce-e7a4-4921-9c79-20f3b83922cc · inbound

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning cites this paper.

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:48:34.753591Z

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.

Observation a006818d-2fdb-4fca-a27f-48714bd789e4 · inbound

When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs cites this paper.

When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:42:18.630700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b5741f-5f9a-4168-bd57-cfb611c8c69f · inbound

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models cites this paper.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.292016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a020d355-2255-4478-b006-1a69e6007791 · inbound

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions cites this paper.

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:01:31.357556Z

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.

Observation d5d4c0bd-ab64-4ca7-980c-0d2165f5bcba · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:26:26.391804Z

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.

Observation 5c92bb96-b3a4-4738-bcfe-7d434ddebd24 · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T13:55:46.373756Z

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.

Observation b534405e-cd85-4345-be75-717472ff255e · inbound

Revisiting DAgger in the Era of LLM-Agents cites this paper.

Revisiting DAgger in the Era of LLM-Agents Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:57:53.313781Z

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.