Paper Citation Record · LEDGER

Motif: Intrinsic Motivation from Artificial Intelligence Feedback

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.00166.

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

pith.paper-citation-record.v1
2310.00166 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:12:28.459946Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:55.285309Z

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 4eeb02b1-76de-49a5-af09-5122d2f86184 · inbound

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making cites this paper.

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:28.459946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395ebe7e-bb63-45b4-bdfe-8a918f69e06b · inbound

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:43.636971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2632fedb-e8d5-4038-9601-fb61ee64f41b · inbound

Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings cites this paper.

Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T22:17:50.436207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99071007-bad2-430b-9938-23976410309c · inbound

Hierarchical Behaviour Spaces cites this paper.

Hierarchical Behaviour Spaces Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:12.847279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c38ead9-20fb-4471-8c24-b690bc4e6f19 · inbound

Agentick: A Unified Benchmark for General Sequential Decision-Making Agents cites this paper.

Agentick: A Unified Benchmark for General Sequential Decision-Making Agents Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:25:58.745765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e722bf5-783c-4481-9561-1108d5eb2fa6 · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:21.663285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4a6465b-583c-466b-be0e-1c2f9121b2f2 · inbound

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning cites this paper.

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:56:54.894458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 471e7edd-6813-4514-9ae8-69eaff48942b · inbound

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning cites this paper.

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:55.287255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d1ad87f-dcd3-44f3-9305-a9b5f4ae0224 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:34.833075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.