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Paper Citation Record · LEDGER

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:28:11.858021Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:12:19.948073Z digest=sha256:d8d788a4feb809151f2714c27d24f1af4fd8b8bec6826021218bd90f40c44adb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T11:43:41.884049Z digest=sha256:5d3abc9503709758192627d4a2d385e04300ea38a2a4d1002c42b1b53c9615bf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:36:15.437752Z digest=sha256:e3618bddff3d4beb3980b8fe3bcd225e08d10e86f78288d9fb526c7a3abb2f57

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:fc64b2c1c56b140fa5871c8503335b4856aa3cd5a3a0125a51f0220efa42f144