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Paper Citation Record · LEDGER

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.15495.

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

pith.paper-citation-record.v1
2412.15495 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T00:25:05.443939Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:37:03.249565Z

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 890ce412-71a4-481c-9df1-802ba3eac1d4 · inbound

MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models cites this paper.

MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:46:45.174141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T15:45:08.608354Z digest=sha256:b582f3bed90ef7ed2b956fefd856149a3297bba08b1cb400af5ebff0299f35bc

Observation 311788f4-fc26-473c-8f9d-75f2fc0e58d5 · 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 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T15:01:31.388765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T15:00:51.162221Z digest=sha256:2b4edfccd9c9021c6d60d14bb66092862537562e897f1f3e90517a52b85eb440

Observation ac3db9b8-6648-40f0-8b87-65646d0ba322 · inbound

When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents cites this paper.

When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:52:22.060134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T05:51:18.680969Z digest=sha256:8860f45f0c7e5093af28164b589012ee69fd6bde0ea752d5d9e4f4c113a2e61f

Observation 7a37d445-5a20-4989-8bb3-735b81527a6e · inbound

WebMCP Tool Surface Poisoning: Runtime Manipulation Attacks on LLM Agents cites this paper.

WebMCP Tool Surface Poisoning: Runtime Manipulation Attacks on LLM Agents TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:37:03.251077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T00:25:05.443939Z digest=sha256:0903ac8b987f9e126b1820e038edc76ba6a39d1d44da599f38660c78a134edf3