Paper Citation Record · LEDGER

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.22008.

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

pith.paper-citation-record.v1
2506.22008 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:42.180146Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

19 of 19 outbound references displayed

verified exact2
verified fuzzy9
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d7dec4f-6150-4ed1-994b-60799a054b25 · outbound

This paper cites It is an open-world city simulation originally proposed by Sestini et al.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning It is an open-world city simulation originally proposed by Sestini et al

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:43.932432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fd18dfc-2dfc-47e6-bd2e-4db9c7b22d91 · outbound

This paper cites Semi-supervised reward learning for offline reinforcement learning.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Semi-supervised reward learning for offline reinforcement learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:18:42.627088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 712750b4-bcd7-4a39-903d-6e8105fc559e · outbound

This paper cites Imitating Human Behaviour with Diffusion Models.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Imitating Human Behaviour with Diffusion Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:40.482865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db243e78-9b73-4234-934d-fe74ed65f3cc · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:40.659299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b91c065-8c05-4f75-97eb-340212b64dd2 · outbound

This paper cites Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:18:42.411597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bfbfab27-e9ab-46be-8d03-b18b17121187 · outbound

This paper cites Offline Learning from Demonstrations and Unlabeled Experience.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Offline Learning from Demonstrations and Unlabeled Experience

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:41.211864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0fc60be-e3a7-473b-a2d5-a12719025707 · outbound

This paper cites Offline Reinforcement Learning.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Offline Reinforcement Learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:44.829576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf7933e9-9537-4676-b198-4e8b16331d02 · outbound

This paper cites As we describe in Section 3, it is especially suitable for offline settings.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning As we describe in Section 3, it is especially suitable for offline settings

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:44.521428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42e8ad3a-8bb7-4dbd-a2bf-00e9e752eedc · outbound

This paper cites All of these approaches require optimal expert demonstrations – that is, demonstrations generated by an optimal policy.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning All of these approaches require optimal expert demonstrations – that is, demonstrations generated by an optimal policy

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:44.250384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23f83ca3-7541-496e-b363-2e8a34dc3744 · outbound

This paper cites An episode is marked a success if the agent reaches the goal before the timeout.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning An episode is marked a success if the agent reaches the goal before the timeout

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:43.646139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 59acd6bf-03da-4eaa-96a4-29a66e2f455c · outbound

This paper cites We provide more details about the baselines in Section 4.2 of the main paper.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning We provide more details about the baselines in Section 4.2 of the main paper

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:43.400993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f204ddd1-e672-44b6-95c5-8bafe6d88323 · outbound

This paper cites an unresolved cited work.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:18:43.133188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4c60b3a-dd2e-4220-9dd3-04619ddab4d2 · outbound

This paper cites Efficient Active Imitation Learning with Random Network Distillation.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Efficient Active Imitation Learning with Random Network Distillation

Reference 1995

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:18:42.862234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0468167d-bdc4-4e3a-8b6a-eb989e5aefb8 · outbound

This paper cites The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:39.898864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31bad089-20d2-4f3c-b523-8c9ce563d6b3 · outbound

This paper cites Technical challenges of deploying reinforcement learning agents for game testing in aaa games.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Technical challenges of deploying reinforcement learning agents for game testing in aaa games

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:45.697343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0f97daf-17e3-4e84-9b5d-5f5a97969c03 · outbound

This paper cites Demonstration-efficient inverse reinforcement learning in procedurally generated environments.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Demonstration-efficient inverse reinforcement learning in procedurally generated environments

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:45.468020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 213c6f6d-44c1-4820-bc60-a440fd8fe231 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Offline Reinforcement Learning with Implicit Q-Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:40.309764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2209042a-0467-4f47-87c4-06c0de714503 · outbound

This paper cites Towards informed design and validation assistance in computer games using imitation learn- ing.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Towards informed design and validation assistance in computer games using imitation learn- ing

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:45.099069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ebf8c51-d315-40b4-bddf-d33506d93911 · outbound

This paper cites Beyond Reward: Offline Preference-guided Policy Optimization.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning Beyond Reward: Offline Preference-guided Policy Optimization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:40.007912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.