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Paper Citation Record · LEDGER

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.11315.

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

pith.paper-citation-record.v1
2311.11315 v1

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 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:07:31.044701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T07:21:40.021748Z

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 56395cda-3008-46a2-907b-80bbb82b105f · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:40.023658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:245b9fcfd4a22d972edeeb73672519633ac853ff6d0139513df76e068dfc5c7b

Observation 185b8fad-9664-4e49-9f0e-e2fdf06f08c3 · inbound

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence cites this paper.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:07:31.044701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:07:31.044701Z digest=sha256:ac002a6d69b92c02f9d7cfe7b0cb22d375c103b8edbe79bab926422f6ed007ce

Observation 9ec11932-0e96-4f32-ad63-5c26b837d281 · inbound

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers cites this paper.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.404703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.404703Z digest=sha256:e0c1dee651a22fed628a164a9be828de00ecbf0542c1257f96c24bf6b8058c0c

Observation df2e4a58-1d23-4121-9910-792e8d416aca · inbound

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation cites this paper.

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T08:55:58.649949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:55:58.649949Z digest=sha256:9db88850a083884a66c2a334ae21e3b50cd9059de63fb2293433e7a43f4091ed

Observation 7c19b975-2f23-481b-b647-baed2b00b1d1 · inbound

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning cites this paper.

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T16:30:38.891928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:30:38.891928Z digest=sha256:a78c1706029c372b07f4b1d8dedcfb82e6854a66b86a16d18ddac6488e0e1182

Observation 4f426159-b11d-4f8f-bf29-acdf2a32c7a0 · inbound

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models cites this paper.

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T01:37:34.939545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:37:34.939545Z digest=sha256:dead29b139108c5398ad2cacee51a239c563082a8b21e46e8dbc4e311cb8de8a

Observation 275ae6c9-abdf-4f34-b2ba-860b3c207f97 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.549567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.549567Z digest=sha256:503fe4d9f765b08feb3fc20e2f796f50dd37ae4f0c5eb79077b27bba6625b5bd