Paper Citation Record · LEDGER

Imitation Learning via Focused Satisficing

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.14820.

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

pith.paper-citation-record.v1
2505.14820 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:36.141307Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy26
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89718f58-42b5-4b34-94c5-a3ae893b2ca9 · outbound

This paper cites an unresolved cited work.

Imitation Learning via Focused Satisficing Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:35:39.568926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8529d1b-38a4-473c-b962-bf873ebb59cd · outbound

This paper cites (11) where α(j) k = 1 fk(ξ)−fk( ˜ξ(j)) is the hinge slope that makes demonstration ˜ξ(j) exactly where the subdominance becomes zero.

Imitation Learning via Focused Satisficing (11) where α(j) k = 1 fk(ξ)−fk( ˜ξ(j)) is the hinge slope that makes demonstration ˜ξ(j) exactly where the subdominance becomes zero

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.000313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 567eb4dc-46ef-4eda-a3ae-c704e96e1521 · outbound

This paper cites Extrapolating beyond sub- optimal demonstrations via inverse reinforcement learning from observations.

Imitation Learning via Focused Satisficing Extrapolating beyond sub- optimal demonstrations via inverse reinforcement learning from observations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.529854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80d3df44-a186-442c-b4ca-f83d0de777e4 · outbound

This paper cites an unresolved cited work.

Imitation Learning via Focused Satisficing Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:35:36.837938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c42fc5e4-aa07-442b-b18b-e99483566b8a · outbound

This paper cites Learning from Suboptimal Demonstration via Self-Supervised Reward Regression.

Imitation Learning via Focused Satisficing Learning from Suboptimal Demonstration via Self-Supervised Reward Regression

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:36.506393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0aefb1ac-c840-4de0-b9f1-c74e2a912cbd · outbound

This paper cites Deep reinforcement learning from human preferences.Ad- vances in Neural Information Processing Systems , 30,.

Imitation Learning via Focused Satisficing Deep reinforcement learning from human preferences.Ad- vances in Neural Information Processing Systems , 30,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.463498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1e1749e-267b-46a1-9646-f8560bd66cff · outbound

This paper cites an unresolved cited work.

Imitation Learning via Focused Satisficing Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:35:39.273548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0949aa94-09fb-4491-9b86-1b12fb6d3502 · outbound

This paper cites Superhuman fairness.

Imitation Learning via Focused Satisficing Superhuman fairness

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.006266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4916cc7e-3ec7-457e-83f1-55342638685c · outbound

This paper cites The magical number seven, plus or minus two: Some limits on our capacity for pro- cessing information.

Imitation Learning via Focused Satisficing The magical number seven, plus or minus two: Some limits on our capacity for pro- cessing information

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.852336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18318c54-1983-4868-8572-15e048cf9704 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Imitation Learning via Focused Satisficing Proximal Policy Optimization Algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:35.319508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e24915e-2ea6-4a85-8970-1c1f9b214ae1 · outbound

This paper cites Rational choice and the structure of the environment.

Imitation Learning via Focused Satisficing Rational choice and the structure of the environment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.154925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1efaa88-2a2c-449d-9fc9-c4dbe255a07a · outbound

This paper cites Policy gradient methods for reinforcement learning with function approx- imation.

Imitation Learning via Focused Satisficing Policy gradient methods for reinforcement learning with function approx- imation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.061670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1672cabb-1ffb-469d-acea-42e35c33b066 · outbound

This paper cites Bounds on error expectation for support vector machines.

Imitation Learning via Focused Satisficing Bounds on error expectation for support vector machines

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.669355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10c490d2-fb9e-4d1d-9d7e-5145c5c12264 · outbound

This paper cites Effective analysis of reac- tion time data.

Imitation Learning via Focused Satisficing Effective analysis of reac- tion time data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.512584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16d40326-967d-4cf0-b49c-4b2b2396107c · outbound

This paper cites Imitation learning from imperfect demonstra- tion.

Imitation Learning via Focused Satisficing Imitation learning from imperfect demonstra- tion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.275972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce191812-b140-4123-873b-26bfd2ca04b7 · outbound

This paper cites Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality.

Imitation Learning via Focused Satisficing Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:36.315940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f06fde6-2ef1-489f-ac1e-37ac0d3c89a2 · outbound

This paper cites Ziebart, Sanjiban Choudhury, Xinyan Yan, and Paul Vernaza.

Imitation Learning via Focused Satisficing Ziebart, Sanjiban Choudhury, Xinyan Yan, and Paul Vernaza

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.111038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30bbfac7-c60f-4310-9077-6ee7ed4c0217 · outbound

This paper cites This toy examples gives us a peek into the source of this degeneracy.

Imitation Learning via Focused Satisficing This toy examples gives us a peek into the source of this degeneracy

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:36.623491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 642a20e8-45f4-4375-83c5-dfceb3bae3c2 · outbound

This paper cites Openai gym,.

Imitation Learning via Focused Satisficing Openai gym,

Reference 1952

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.539257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d4d7fbd-d284-4517-9baf-3c8f4726b1a2 · outbound

This paper cites Algorithms for inverse reinforcement learning.

Imitation Learning via Focused Satisficing Algorithms for inverse reinforcement learning

Reference 1956

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.701008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 671cb537-3c3d-4e11-a207-10562b30f609 · outbound

This paper cites Advantages of robotic assistance over a manual approach in simulated subretinal injections and its relevance for gene therapy.

Imitation Learning via Focused Satisficing Advantages of robotic assistance over a manual approach in simulated subretinal injections and its relevance for gene therapy

Reference 1964

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.172429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ab965ba-710a-47e6-b237-3b72cf175061 · outbound

This paper cites Direct preference optimization: Your lan- guage model is secretly a reward model.Advances in Neu- ral Information Processing Systems, 36,.

Imitation Learning via Focused Satisficing Direct preference optimization: Your lan- guage model is secretly a reward model.Advances in Neu- ral Information Processing Systems, 36,

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.455155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6282de34-0edc-4f95-9407-fa405ce5b3e9 · outbound

This paper cites A game-theoretic approach to apprenticeship learning.

Imitation Learning via Focused Satisficing A game-theoretic approach to apprenticeship learning

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.901702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d305f85c-9281-4f78-bc05-001d56c2d282 · outbound

This paper cites An Algorithmic Perspective on Imitation Learning.

Imitation Learning via Focused Satisficing An Algorithmic Perspective on Imitation Learning

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:35.024041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762903c9-13cc-46c7-b187-8de77b6eea95 · outbound

This paper cites Concrete Problems in AI Safety.

Imitation Learning via Focused Satisficing Concrete Problems in AI Safety

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:33.685232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34949cc-d14b-4b3d-a549-cebc43e89063 · outbound

This paper cites Robust imitation learning from noisy demonstrations.

Imitation Learning via Focused Satisficing Robust imitation learning from noisy demonstrations

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.752139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b910c09-371c-47ce-8d93-3f98899132e8 · outbound

This paper cites A survey of preference-based reinforcement learning methods.

Imitation Learning via Focused Satisficing A survey of preference-based reinforcement learning methods

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:37.394464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c437e437-e3eb-4c32-9b1b-fd886c24c99d · outbound

This paper cites Pitfalls of learning a reward function online.

Imitation Learning via Focused Satisficing Pitfalls of learning a reward function online

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.559053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4e82e5f-f619-4c75-978f-4a1cc2924837 · outbound

This paper cites Learning robust rewards with adverserial inverse rein- forcement learning.

Imitation Learning via Focused Satisficing Learning robust rewards with adverserial inverse rein- forcement learning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.372211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce59d8ef-055c-4a50-b2c8-db239f1e7664 · outbound

This paper cites Pomerleau.

Imitation Learning via Focused Satisficing Pomerleau

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.560191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3cc2954-95e1-476c-b6ae-55442ce90f2f · outbound

This paper cites Brown, Wonjoon Goo, and Scott Niekum.

Imitation Learning via Focused Satisficing Brown, Wonjoon Goo, and Scott Niekum

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.516949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52eb1291-eb47-49ac-9cc2-b91efbc3935f · outbound

This paper cites Distance minimization for reward learn- ing from scored trajectories.Proceedings of the AAAI Con- ference on Artificial Intelligence, 30(1),.

Imitation Learning via Focused Satisficing Distance minimization for reward learn- ing from scored trajectories.Proceedings of the AAAI Con- ference on Artificial Intelligence, 30(1),

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.508110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fedb857e-e6b1-4e19-9f48-407a89167f90 · outbound

This paper cites Rank analysis of incomplete block designs: I.

Imitation Learning via Focused Satisficing Rank analysis of incomplete block designs: I

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:39.549659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fffdea06-e94a-4121-a594-bed435bdfef7 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Imitation Learning via Focused Satisficing Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:34.756014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74fe25e3-1786-45ec-8ad7-01aeff79e74c · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

Imitation Learning via Focused Satisficing Stable-baselines3: Reliable reinforcement learning implementations

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:38.291195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.