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Paper Citation Record · LEDGER

Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.10301.

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

pith.paper-citation-record.v1
2309.10301 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:35.687234Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:57.848253Z

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 2da23ec5-7f08-45a5-89f5-6547a9fe1e63 · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms

Reference 193

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:35.687234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:35.687234Z digest=sha256:ca3ba5d0d65f7a24ac7da893b64e0c0da4f4369bae9f4cf0533c9c8a6ddede8e

Observation a8d6b7d6-958b-4a73-9b54-e4f95400d1be · inbound

How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings? cites this paper.

How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings? Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.849641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T10:06:46.617285Z digest=sha256:fb7ca0dcdd25f392e4c62dd2c79d37dfc588e30bda01f795269fc3cfe78ece67