Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:58:03.858544Z
Paper Citation Record · LEDGER
Agent-centric learning: from external reward maximization to internal knowledge curation
As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2507.22255.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T01:01:50.627177Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
13 of 13 outbound references displayed
- verified exact2
- verified fuzzy2
- unresolved8
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 5b0ca714-b3a4-435c-8d90-3f31dec0325a · outbound
This paper cites Vime: Variational information maximizing exploration.
Agent-centric learning: from external reward maximization to internal knowledge curation Vime: Variational information maximizing exploration
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:58:04.465815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5b989bf6-02ee-4f85-a0c9-88c4756acd0b · outbound
This paper cites Reward is not Necessary: How to Create a Modular & Compositional Self-Preserving Agent for Life-Long Learning.
Agent-centric learning: from external reward maximization to internal knowledge curation Reward is not Necessary: How to Create a Modular & Compositional Self-Preserving Agent for Life-Long Learning
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:58:04.084475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d887da1-45a7-49f7-8fba-14ee57546a7d · outbound
This paper cites 2404928121.
Agent-centric learning: from external reward maximization to internal knowledge curation 2404928121
Reference 12
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T11:58:03.847501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 011ca0c2-068e-4a00-9553-374bde89f386 · outbound
This paper cites Harmonizing Program Induction with Rate-Distortion Theory.
Agent-centric learning: from external reward maximization to internal knowledge curation Harmonizing Program Induction with Rate-Distortion Theory
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.858544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cc95a0c-d057-47ce-a2eb-35e1671b92af · outbound
This paper cites The information bottleneck method.
Agent-centric learning: from external reward maximization to internal knowledge curation The information bottleneck method
Reference 2009
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.838978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ded20d0-b198-4d26-b4e6-8149e6bf8e3a · outbound
This paper cites Intrinsically-Motivated Humans and Agents in Open-World Exploration.
Agent-centric learning: from external reward maximization to internal knowledge curation Intrinsically-Motivated Humans and Agents in Open-World Exploration
Reference 2015
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:58:04.153194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 15ef19a5-5124-472e-96d2-d4dc9c016684 · outbound
This paper cites Risks from Learned Optimization in Advanced Machine Learning Systems.
Agent-centric learning: from external reward maximization to internal knowledge curation Risks from Learned Optimization in Advanced Machine Learning Systems
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.796973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4640899-baca-44ce-9efe-7dfc1f4c885c · outbound
This paper cites Meta-learning curiosity algorithms.
Agent-centric learning: from external reward maximization to internal knowledge curation Meta-learning curiosity algorithms
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.744415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aac8032d-eac0-490e-b598-7de5da93ff14 · outbound
This paper cites Three Dogmas of Reinforcement Learning.
Agent-centric learning: from external reward maximization to internal knowledge curation Three Dogmas of Reinforcement Learning
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.715479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 434a26f0-1083-433d-bfd8-94779226a9e4 · outbound
This paper cites Benchmarking the Spectrum of Agent Capabilities.
Agent-centric learning: from external reward maximization to internal knowledge curation Benchmarking the Spectrum of Agent Capabilities
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.781339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ccfd4e5-7aed-4a7b-af9d-b6632ea15f44 · outbound
This paper cites Rethinking the Foundations for Continual Reinforcement Learning.
Agent-centric learning: from external reward maximization to internal knowledge curation Rethinking the Foundations for Continual Reinforcement Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.757284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bece8ab2-2b51-4d1f-9eab-3e12940b7cfd · outbound
This paper cites Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning.
Agent-centric learning: from external reward maximization to internal knowledge curation Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.731987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a860ca6-3523-4976-a136-75088502a16c · outbound
This paper cites What can ai learn from human exploration? intrinsically-motivated humans and agents in open-world exploration.
Agent-centric learning: from external reward maximization to internal knowledge curation What can ai learn from human exploration? intrinsically-motivated humans and agents in open-world exploration
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:58:04.495760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation 227be599-4166-4e83-8f0a-53d537622d1b · inbound
Effective Explanations Support Planning Under Uncertainty cites this paper.
Effective Explanations Support Planning Under Uncertainty Agent-centric learning: from external reward maximization to internal knowledge curation
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:06:13.931945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.