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Paper Citation Record · LEDGER

Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.03444.

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

pith.paper-citation-record.v1
2409.03444 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:52:27.471985Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f042fb36-d930-4329-b328-70b3886df4fc · inbound

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe cites this paper.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T22:52:27.471985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:52:27.471985Z digest=sha256:5c245c308b4fe0f39d45d38731ae5d5bbe883b3e6102a449352f613c380f2902

Observation 22e807ec-94c1-4eaa-8b31-b9667edabc54 · inbound

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks cites this paper.

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:02:20.765480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:57:22.234551Z digest=sha256:6d9cb7349a66ea16adc22609435eb2870befe5b6d1ed43e00a1bf97973b661fe

Observation 2cbe78fd-17a3-46a6-b0fb-d41662341ecc · inbound

Robot Operation of Home Appliances by Reading User Manuals cites this paper.

Robot Operation of Home Appliances by Reading User Manuals Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:20.850350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:20.850350Z digest=sha256:ec0eb28982bfe9b70a46752539d297437abdf554ff0ba23897512045e1b453ad

Observation 2a2787aa-d79a-4eb0-89b3-ef4f4175d06d · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-09T04:30:09.963806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T08:50:05.980191Z digest=sha256:86ac7b33fc9cd76943dc31637c93cb46f3c59c0a5ff9034e20ce9dc4806da8cf