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Paper Citation Record · LEDGER

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.15369.

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

pith.paper-citation-record.v1
2405.15369 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:24:46.091690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:44:39.428844Z

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 e011fbd9-37f8-44e6-a90d-f095f295e66f · inbound

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning cites this paper.

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T11:24:46.091690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:24:46.091690Z digest=sha256:0ad09a4e54dc7ea7255e6cd412df2c3576864830170297e1078edd3ec37281dd

Observation a3dcecdb-825e-4596-9ca3-25b7ce42dcb6 · inbound

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning cites this paper.

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:12:54.837889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T20:12:19.948073Z digest=sha256:d97ace4e95e7193ab19a57c2f5980b37b54d9289d6aec72817008e8d597800df

Observation 585cd1fb-79a8-45de-bf85-954b73a5905c · 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 Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:37.872665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T11:43:41.884049Z digest=sha256:521a986beb6f6b592a6f0cbb1dfc148abc5e7bd9f514862168c14c0dcd358b7b

Observation ef97f71f-0b5c-4498-b525-9a0513aa03aa · inbound

Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets cites this paper.

Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:44:39.430382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:36:15.437752Z digest=sha256:75c7eb483248b607730b8574046fec7d7b450d52d22edc2da5382fa4677c7172

Observation 2cfc9c8d-43dc-45d3-831b-729f463753eb · inbound

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

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T21:28:11.858021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:28:11.858021Z digest=sha256:e6a90933e898964befafc47e8073cc6da71ebfdc7952947294d5ae260ebe5a83