Pith. sign in

Paper Citation Record · LEDGER

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.11031.

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

pith.paper-citation-record.v1
2310.11031 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:56:04.618489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:37.211006Z

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 5727332b-22af-40d8-9756-262832d2ca7a · inbound

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction cites this paper.

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:01.794623Z

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=2026-06-29T23:08:52.333329Z digest=sha256:7c9779cbf6d92ded0478c08ab2988fbdaec149683d41bd73a8c33bf43674f083

Observation 46184e6a-e913-42c1-bf72-2f8db9399d86 · inbound

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning cites this paper.

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:17:37.212708Z

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=2026-06-27T14:03:24.516255Z digest=sha256:04ca1a8c1a10d1ce46b4eec7b9f8fb6c90bc1bdb20a0d7d3cfc8fe0548a46aca

Observation a7209241-caf5-4928-822d-21ad14d75f73 · inbound

DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation cites this paper.

DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T17:56:04.618489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:56:04.618489Z digest=sha256:f26bddf175a2121c6cd851356005b2c66a37135f35e1d2af45a9daf2548a4e01