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Paper Citation Record · LEDGER

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2006.13916.

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

pith.paper-citation-record.v1
2006.13916 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:55.352235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:25:58.773053Z

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 4baa2b41-6a6a-4dce-8b3a-f3a1fef53fbd · inbound

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation cites this paper.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T20:17:36.257541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:17:36.257541Z digest=sha256:9ca629bc81a53b609f8ab1d55acc7300ecbd931d7542f8d60c4a974b924e31c8

Observation 24ef9fab-4eaf-4b8a-8ef0-7245139e09ef · inbound

Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation cites this paper.

Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T18:28:22.453591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:28:22.453591Z digest=sha256:e853afd61cf831ccbc9fe0b1f1e99bdb9b89419963b21a2ce2164fc4df83090e

Observation fe82fe4d-9f49-434f-9614-cfe244d6b4e6 · inbound

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning cites this paper.

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-09T11:31:10.665872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:31:10.665872Z digest=sha256:87a9f245bc2a7a9c49b9342378c01d218e2efc87dfb4655f604bcde90112e29e

Observation 0179c015-5c57-402a-8a54-9d2524c23b05 · inbound

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis cites this paper.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T20:45:55.352235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:45:55.352235Z digest=sha256:10262939a9af3fa6a9620fdeef1d506d0a337e78a2894ff68a9b679c87e3b8de

Observation 2ae15d6c-b760-4c6d-b9a5-4477e796257f · inbound

Contextual Online Pricing with (Biased) Offline Data cites this paper.

Contextual Online Pricing with (Biased) Offline Data Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:15.689811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:15.689811Z digest=sha256:b73da2743154f3906b7514717c91a053e7925ce08d50d85f881466e219016d91

Observation fbdc93b2-1895-476a-9e10-6ac80450243a · inbound

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift cites this paper.

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:21:25.275337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T03:27:41.845716Z digest=sha256:eda98ce264b286112d940831a3fc585a2c4416961cc3955073988cf95d3db20a

Observation 302631c1-d4b6-4d46-9d8b-5b090a564197 · inbound

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift cites this paper.

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T22:09:07.679623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-20T22:04:57.245024Z digest=sha256:d8db0b27105571259cfb69b76895b57fde2b998d4b73cde713fe912c5a8c9541

Observation 6e77fbad-fff3-4457-aa76-8f221709cc93 · inbound

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning cites this paper.

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:04:43.160309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T08:02:27.951445Z digest=sha256:63da5a817fcef8315ab7f1787a1d1f2557af90979000619503741771be40bc8a

Observation cbe75b1d-1b30-4426-92a0-0478b2639b1a · inbound

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning cites this paper.

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:37.894007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T11:43:41.884049Z digest=sha256:017e791daacded1ed4957ad6c9bb9d325573cc7521d657593fcf724e047de10f

Observation 62743e01-901b-44b9-a495-564f58cf32fb · inbound

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience cites this paper.

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:58.774412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T01:57:04.293058Z digest=sha256:f4a02a5985cd9b4f81b857cb07447ba1ff6def1166d41b0fd748e18b1f2bdf1c

Observation 81679cff-648a-4f15-821a-0d5323e044cf · inbound

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning cites this paper.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T21:28:12.466094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:28:12.466094Z digest=sha256:252d4c5ecec48f39b268c488905312b0818b01b594cc4e400807e5d7f7e4d68f