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Paper Citation Record · LEDGER

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.00911.

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

pith.paper-citation-record.v1
2410.00911 v2

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 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:23.289960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:34:19.426299Z

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 37f1ec60-f866-4122-83f0-a5cf23547fe8 · inbound

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts cites this paper.

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:23.289960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:52:23.289960Z digest=sha256:28019b16acbd59882cc0b36ca824a4a3680b6b579312bcd13c375d38fe671829

Observation 2dd9274e-18ce-4576-bf05-15e342676ff5 · inbound

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning cites this paper.

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-05T16:16:46.786926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:16:46.786926Z digest=sha256:ae476b000c6c25958c1603f44acdea7a16a18359a77a164a64ad6c92c566defe

Observation bbd9340d-b4ee-445a-abdf-34de79402715 · inbound

Continual Knowledge Consolidation LORA for Domain Incremental Learning cites this paper.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T09:27:52.685041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:27:52.685041Z digest=sha256:ab9c678a884add57d63aaabb577f79eace1afbf585b61ed9f212fa97cff0f4f3

Observation 10c722fc-bdc1-4368-b16a-178a4991beee · inbound

Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation cites this paper.

Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:34:19.427918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T06:25:59.549875Z digest=sha256:7ac41064017c59f2100aff9b0d61b2693f50ba2530bd191fb06817f8644b02af