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Paper Citation Record · LEDGER

On Localized Discrepancy for Domain Adaptation

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.06242.

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

pith.paper-citation-record.v1
2008.06242 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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T23:00:15.024237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:03:50.796115Z

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 3b96c30b-adfb-41e5-8ba5-e6e046ff162c · inbound

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift cites this paper.

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift On Localized Discrepancy for Domain Adaptation

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:56.835884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T01:02:37.662963Z digest=sha256:41b99b351af5f5378765901203e0515c0bdfc5abcedfd0ae36946a07559341ff

Observation 535cd305-bcd1-4d8e-a705-a0ec30ae745a · inbound

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift cites this paper.

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift On Localized Discrepancy for Domain Adaptation

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:03:50.798282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T23:00:15.024237Z digest=sha256:04e8ad46fddf7740f30630eab9d5f4f2fdedf83ee2dd9b099a931353d38fc03c

Observation b6ec44ba-7ba2-4fff-89f6-3c683988f6cb · inbound

BEACON: Cross-Domain Co-Training of Generative Robot Policies via Best-Effort Adaptation cites this paper.

BEACON: Cross-Domain Co-Training of Generative Robot Policies via Best-Effort Adaptation On Localized Discrepancy for Domain Adaptation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:13.503878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T01:45:46.083549Z digest=sha256:b1a096bfcf6b883a29062d5de59d701432b1060389cd35548c74dd5223327b0e

Observation 11a10f71-e27b-4ab8-9ebe-d789b0c123c6 · inbound

BEACON: Cross-Domain Co-Training of Generative Robot Policies via Best-Effort Adaptation cites this paper.

BEACON: Cross-Domain Co-Training of Generative Robot Policies via Best-Effort Adaptation On Localized Discrepancy for Domain Adaptation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:52:31.904631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:50:58.891933Z digest=sha256:f0b91d585b408ace0ee8c6223480b902216f408358449c53ccb30c163134498d