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Paper Citation Record · LEDGER

Partial Identifiability for Domain Adaptation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.06510.

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

pith.paper-citation-record.v1
2306.06510 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T18:58:26.552293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:03:22.168592Z

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 1bef1dc1-93e7-4a86-8c3c-3a4a0435cf92 · inbound

Causal Fine-Tuning under Latent Confounded Shift cites this paper.

Causal Fine-Tuning under Latent Confounded Shift Partial Identifiability for Domain Adaptation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:03:22.171333Z

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=2026-05-23T18:58:26.552293Z digest=sha256:dc5fc8dbde37724c4871ba2fba6551efa8f28591f0a8ee9a412571185f7b25e0

Observation 67f8b6a4-def2-4210-adc1-d664eead3cfc · inbound

Factored Causal Representation Learning for Robust Reward Modeling in RLHF cites this paper.

Factored Causal Representation Learning for Robust Reward Modeling in RLHF Partial Identifiability for Domain Adaptation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:20:13.588399Z

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=2026-05-21T14:18:33.768962Z digest=sha256:db97e8ae207e9dba85004849b5d5dc6447665ce642af497dde0aba995f836700