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Paper Citation Record · LEDGER

Fusing finetuned models for better pretraining

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2204.03044.

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

pith.paper-citation-record.v1
2204.03044 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:18.365807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:53:15.699075Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eea2cf8c-7dcc-4e6a-abbf-11038c2a9dd9 · inbound

Editing Models with Task Arithmetic cites this paper.

Editing Models with Task Arithmetic Fusing finetuned models for better pretraining

Reference 11

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verified exact
arxiv_id, observed 2026-05-13T08:09:12.846324Z

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=2026-05-13T08:09:12.716163Z digest=sha256:54f587690f4a9bd0762c556b6caaeec813dab0dab6fd132bd22f612b22e77f3d

Observation 2f91bafc-df7e-4cf9-b960-3d7f5acbbf03 · inbound

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer cites this paper.

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer Fusing finetuned models for better pretraining

Reference 8

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no resolver link, observed 2026-08-07T14:30:18.365807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:18.365807Z digest=sha256:af7dc221c4a561d1b65afb0ad281c3a776bb37896cdf4d8d2bd0ba4cfd554755

Observation df4e6500-3478-4593-b8fa-874e4a67e7e5 · inbound

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors cites this paper.

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors Fusing finetuned models for better pretraining

Reference 4

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no resolver link, observed 2026-08-07T13:17:47.661698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:17:47.661698Z digest=sha256:37537b120037fef77574f6f5ef9151283f5b5b682d2ed0bd98d838a136381153

Observation d49cf55c-dda8-4fe0-b900-f4b74541a716 · inbound

Continual Learning in Vision-Language Models via Aligned Model Merging cites this paper.

Continual Learning in Vision-Language Models via Aligned Model Merging Fusing finetuned models for better pretraining

Reference 4

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unresolved
no resolver link, observed 2026-08-07T12:13:42.124288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:13:42.124288Z digest=sha256:902868bd11117c3792c2586d3b852fc70c8306b7ec57856c89c35f4df08a4a49

Observation d8000de7-f1b4-4d29-be6c-215df84ba17c · inbound

EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding cites this paper.

EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding Fusing finetuned models for better pretraining

Reference 2022

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no resolver link, observed 2026-08-07T11:12:18.728444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:18.728444Z digest=sha256:520fecdf10508a5a0927f50a20faa697da30150ddc056b5db81e44376bf3ac0e

Observation a52abf27-fc54-4ed7-9a75-32d122743ea3 · inbound

Can Gradient Descent Simulate Prompting? cites this paper.

Can Gradient Descent Simulate Prompting? Fusing finetuned models for better pretraining

Reference 12

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no resolver link, observed 2026-08-06T22:41:50.072985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:41:50.072985Z digest=sha256:d0934adb0ebb27b2544e3311c480c57579c31a4291120f63a94a97d481232cbd

Observation 65c13c57-c054-49a5-96e5-bbb535b3b57c · inbound

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning cites this paper.

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning Fusing finetuned models for better pretraining

Reference 10

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no resolver link, observed 2026-08-06T19:44:51.637129Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:51.637129Z digest=sha256:c65ad64b8951002794d645cfd7ed9eeb41cfe5b7b9c3cc123584cd2f8c1ad807

Observation 295b61a0-2880-470d-940d-42cf7fcf8e39 · inbound

Intrinsic Strain-Driven Topological Evolution in SrRuO3 via Flexural Strain Engineering cites this paper.

Intrinsic Strain-Driven Topological Evolution in SrRuO3 via Flexural Strain Engineering Fusing finetuned models for better pretraining

Reference 5

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unresolved
no resolver link, observed 2026-08-05T17:34:47.375954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:34:47.375954Z digest=sha256:6facc92b2a1a142368964e1bb5b0789c4cf61774898a00ca47f704ed77e5a497

Observation 5e3cbcc5-074e-484f-b140-49689d8f5f3c · inbound

The Appeal and Reality of Recycling LoRAs with Adaptive Merging cites this paper.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Fusing finetuned models for better pretraining

Reference 2025

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unresolved
no resolver link, observed 2026-08-02T23:56:45.528223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.528223Z digest=sha256:5d722ffe89a33eb19f41fd7939bc363e0e3a895bbe9f674b9794dcbf887ded7b

Observation 64880164-db46-4d59-b83f-ea3b4fb50de0 · inbound

Analytic Drift Resister for Non-Exemplar Continual Graph Learning cites this paper.

Analytic Drift Resister for Non-Exemplar Continual Graph Learning Fusing finetuned models for better pretraining

Reference 35

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verified exact
arxiv_id, observed 2026-05-13T20:53:15.700447Z

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=2026-05-13T20:51:47.676754Z digest=sha256:9e489d7a8bc6c5d2e97c2bd8d737b85fb534294e78cb39ebb6013a76b2832391

Observation adaf1cd7-fd64-433d-83b6-9e20613a9944 · inbound

PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging cites this paper.

PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging Fusing finetuned models for better pretraining

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:06:52.909218Z

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=2026-05-10T07:04:54.909073Z digest=sha256:f837ba6a1546f5efccf3c6b7d2d3468fb83059f93e076ea9a6d409acbc6e80b0

Observation c386dfe4-c99a-433e-a536-ba517763283d · 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 Fusing finetuned models for better pretraining

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T17:56:04.574109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:56:04.574109Z digest=sha256:68fb785ac7ad8d4908623bd532ad829d98733bdecad36a025c9eb653d2135f6d