Paper Citation Record · LEDGER

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.14897.

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

pith.paper-citation-record.v1
2507.14897 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:49:40.262037Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy5
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 545a452f-77c9-49c0-90c0-06a9dce691eb · outbound

This paper cites Ahmadian, C.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Ahmadian, C

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:49:42.542688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57a527e9-81cb-420d-8db1-5bef6d9e62c5 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:42.408889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b09e553c-2459-4e37-8782-65cd2a56899e · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Group-in-Group Policy Optimization for LLM Agent Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:37.552030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814e8c07-510b-4f08-8a4e-724c1a893d1a · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:42.291835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a5b15d0-9306-4dfa-9baa-9793114ebc4f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:37.805080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1c42fc-8829-41df-bf51-1cf17397ab75 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:42.170209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb1bdac4-c8d3-4608-a7b1-6613022f3e80 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:38.134448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812e6747-e5ca-4c02-9d20-4c9cf3192ae8 · outbound

This paper cites Ouyang, J.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Ouyang, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:49:42.044253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40a437bd-051b-423d-9aeb-c2b5191c5802 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:41.944332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7e06540-0385-432d-8f66-c60d1a8d84be · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:38.468957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff85625-5804-4d7f-b0f3-7f8dbcbdedeb · outbound

This paper cites Proximal Policy Optimization Algorithms.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Proximal Policy Optimization Algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:38.583346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf64fbaf-93c4-4dd1-b106-27eb9cf74d15 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:38.725073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363b84b1-c703-4a4d-b97f-8712702a66d8 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents HybridFlow: A Flexible and Efficient RLHF Framework

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:38.832390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe9480a-1ad1-4035-9382-8f48545101ce · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:38.967794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ae38bb-e1e5-42a3-b986-1d616c41d714 · outbound

This paper cites Rl-factory.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Rl-factory

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:49:41.722444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07ada5ad-2663-45b8-bb3b-9e9a93878ac9 · outbound

This paper cites Sumers, S.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Sumers, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:49:41.591462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c791712-6f51-48c1-8d3f-971d617ffd7a · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:41.449138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bcb806f7-9237-444c-8551-380929bed4e9 · outbound

This paper cites ScienceWorld: Is your Agent Smarter than a 5th Grader?.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents ScienceWorld: Is your Agent Smarter than a 5th Grader?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:39.486542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51cc60f-e16b-4cc8-a9f6-07c1fae16fc4 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:41.323935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf73ace5-97c3-44ff-bcec-7e739bb4cb97 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:41.137535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ec57a07-5b94-4bf9-b66c-fcf93d52a08f · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:40.952067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccacb417-bc29-4a6f-aea0-f5c336bc2c3d · outbound

This paper cites WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:40.070569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73a24159-f12e-439c-b31a-f3b636ab88f6 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:40.824110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9a5efa7-819c-47cd-8a32-c85e981442a2 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:40.675842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5938653-f283-4f96-9fe5-667ca10fd4d9 · outbound

This paper cites qa_f1_reward.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents qa_f1_reward

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:49:40.459525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6da7cb92-1644-4bd1-bfca-f184dc506489 · outbound

This paper cites an unresolved cited work.

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents Unresolved cited work

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:40.015259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.