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Paper Citation Record · LEDGER

Making Language Models Better Tool Learners with Execution Feedback

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2305.13068.

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

pith.paper-citation-record.v1
2305.13068 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:35:04.689047Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.023376Z

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 70825f6d-7bd5-4910-acb7-0d9e37811786 · inbound

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs cites this paper.

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs Making Language Models Better Tool Learners with Execution Feedback

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:51:41.247322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T20:51:41.198767Z digest=sha256:d4caff9441dde9376b6e4a9b8bd91e6b403658acbd6db9385809b41d67356cc3

Observation 690616b1-b99e-42f8-9e5f-d13b4b46ad02 · inbound

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent cites this paper.

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent Making Language Models Better Tool Learners with Execution Feedback

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T04:49:29.678821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:49:29.678821Z digest=sha256:c6326f70f2b15e99815fb5ad884d59b261487e9d62f0ef3f3846dd53fd1b75ac

Observation 64824b64-86ad-4761-87e7-17e6ef477f75 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Making Language Models Better Tool Learners with Execution Feedback

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.026782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:e4393e00d7fb24d44a43a5a025562293bc4636c0c5a31e05949fa8b9abd4aed2

Observation 7344df4e-6ffc-4384-a50a-197ca6e5aa15 · inbound

Prompt Injection Attack to Tool Selection in LLM Agents cites this paper.

Prompt Injection Attack to Tool Selection in LLM Agents Making Language Models Better Tool Learners with Execution Feedback

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:08:28.992510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:6f999ff6691d37646f1dea63dee502bd4465fd239e7636036a67fdf78f39c2c5

Observation ce5848bb-bb7a-4e77-9104-29c7483ecce3 · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering Making Language Models Better Tool Learners with Execution Feedback

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:50.527055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:50.527055Z digest=sha256:6cfc2692b13cda81bcfa044c037668dc6158e593efd8ea8b5c0c4d3bab799596

Observation 6ea25043-2151-468b-bd70-ddf6a45a56d4 · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Making Language Models Better Tool Learners with Execution Feedback

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.771966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:decbdf75fe77f61944a34f2ad40f2dab81d87bd14b05a6e72d22ce502232043b

Observation f7455207-d292-4bce-a197-55269bc3314d · inbound

Hell or High Water: Evaluating Agentic Recovery from External Failures cites this paper.

Hell or High Water: Evaluating Agentic Recovery from External Failures Making Language Models Better Tool Learners with Execution Feedback

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T17:35:04.689047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:35:04.689047Z digest=sha256:241ec60dc064c594ef88ed61e7f498205d2ef3bce735d3b646b7ac46817fa7ba

Observation febfc4ae-32dd-4fe6-80df-dd11d7a40f48 · inbound

Dynamic Tool Dependency Retrieval for Lightweight Function Calling cites this paper.

Dynamic Tool Dependency Retrieval for Lightweight Function Calling Making Language Models Better Tool Learners with Execution Feedback

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:18:32.781531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-16T21:13:49.210602Z digest=sha256:31e5ff6e85706f8013ee31736849d67d3488b4d74638a4d6746e80faac553ef7

Observation f57ef6b6-1dca-4db9-8cf4-13b99b2612c4 · inbound

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls cites this paper.

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls Making Language Models Better Tool Learners with Execution Feedback

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:33.338883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:33.338883Z digest=sha256:952c928b47feb2313df672446e85efb48b0e0e7d6b626a27984ffbaa23346214

Observation e0706541-7379-4bea-b93b-35119c0e272c · 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 Making Language Models Better Tool Learners with Execution Feedback

Reference 12

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:c9dabcd388ed089aaae5d57540632447e80a27a566a5f1738f9cc22a1e62528d