Paper Citation Record · LEDGER

Align and Distill: Unifying and Improving Domain Adaptive Object Detection

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.12029.

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

pith.paper-citation-record.v1
2403.12029 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:55.248671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T17:53:36.579760Z

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 c8da39b2-1d52-4f59-94af-57484e6a71b0 · inbound

Counting Fish with Temporal Representations of Sonar Video cites this paper.

Counting Fish with Temporal Representations of Sonar Video Align and Distill: Unifying and Improving Domain Adaptive Object Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T20:12:24.054778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a9ef31-14a9-4216-a52a-b6e1df938c01 · inbound

Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers cites this paper.

Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers Align and Distill: Unifying and Improving Domain Adaptive Object Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:39:55.248671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad77b01c-e748-4a41-bf50-89e66c1eceff · inbound

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision cites this paper.

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision Align and Distill: Unifying and Improving Domain Adaptive Object Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T13:12:06.171255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5450ccb-a9aa-40c3-b89c-b665a1d9bb0c · inbound

Consensus-Driven Active Model Selection cites this paper.

Consensus-Driven Active Model Selection Align and Distill: Unifying and Improving Domain Adaptive Object Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T10:29:50.609813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae452b9-0a43-48b4-92f7-6c7c7314cd06 · inbound

Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges cites this paper.

Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges Align and Distill: Unifying and Improving Domain Adaptive Object Detection

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:14.725957Z

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.

Observation ede0b2bb-5f39-4e6f-b314-f5b90e90bc85 · inbound

Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents cites this paper.

Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents Align and Distill: Unifying and Improving Domain Adaptive Object Detection

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:53:36.581649Z

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.