Pith. sign in

Paper Citation Record · LEDGER

Fusing finetuned models for better pretraining

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:28.904637Z

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

  • 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 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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T08:09:12.716163Z digest=sha256:020998bb0d483dce101e9c391ee5fc6e852b88465f53d33ec6df9b58eb751863

Observation 55d157bb-c303-4343-a09c-d07f1ad997d5 · inbound

Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion cites this paper.

Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion Fusing finetuned models for better pretraining

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:52.206726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:52.206726Z digest=sha256:7de39d27211bf7a7d8a86dbc472d21c33e0a66183697ba64b71393e223b20eec

Observation 247a776e-0df7-4750-8242-8672b3da6188 · inbound

AlignGuard: Scalable Safety Alignment for Text-to-Image Generation cites this paper.

AlignGuard: Scalable Safety Alignment for Text-to-Image Generation Fusing finetuned models for better pretraining

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T15:57:55.260507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:57:55.260507Z digest=sha256:0103bff92b1e3e2bbe79f9e4a838238337ab4dbf53aa034ef01885bdd5529a60

Observation f6222379-0a58-40cc-900e-d19dde140f82 · inbound

Revisiting Weight Averaging for Model Merging cites this paper.

Revisiting Weight Averaging for Model Merging Fusing finetuned models for better pretraining

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T18:15:59.152262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:15:59.152262Z digest=sha256:233374a41694acdbd926947439a2f29eb253e546826576c6e5281c0c740c28cf

Observation 865c329d-5439-4f9e-a640-63e5e7e8f7b1 · inbound

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion cites this paper.

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Fusing finetuned models for better pretraining

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T19:44:20.624731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:44:20.624731Z digest=sha256:c74adf7a34e57746fa544d98444b434eaec8bd5d15aa508b8c4c0e77d9be8020

Observation feb98c8f-41b0-4247-8458-6caf21c33376 · inbound

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging Fusing finetuned models for better pretraining

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T14:27:57.408331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:27:57.408331Z digest=sha256:e3bb7e9fab252d7b0e2bf468dd2f464cd4c05407644b4c17bd48175dceb58539

Observation d3a44d3e-9b25-41cf-9331-22a559a24c1e · inbound

Investigating Task Arithmetic for Zero-Shot Information Retrieval cites this paper.

Investigating Task Arithmetic for Zero-Shot Information Retrieval Fusing finetuned models for better pretraining

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:28.904637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:28.904637Z digest=sha256:ebf4a08b2e4bb91ce387201ef349d9bb8a744976298b86d09976bc79910112d6

Observation 616577c6-0548-440a-b86c-784ac2943095 · inbound

Mergenetic: a Simple Evolutionary Model Merging Library cites this paper.

Mergenetic: a Simple Evolutionary Model Merging Library Fusing finetuned models for better pretraining

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:45.049315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:58:45.049315Z digest=sha256:04ff288603d0c67b6b231c310b4792e5bf3a9c3507952acd8452622e1c7cfcc3

Observation cdb9f414-8cb1-4aed-bcc8-1c3fe611c722 · inbound

PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization cites this paper.

PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization Fusing finetuned models for better pretraining

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:54.046261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:54.046261Z digest=sha256:76bc3759c8f2b78cc97b417d85ba28b8c540d379d1082d092e50c76ca128fb9d

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

Resolution
unresolved
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:a8cb02ad717224bdb7eb4728dcd44ab824ef115a279739a9a73cf354313439b6

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

Resolution
unresolved
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:e6735e8a6257f15c1158f52c49070b556bbe13a65ddcc13e19ff6100ac1c936c

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

Resolution
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=sha256:484f761c1407dad3718599b7bd22922a129063e94da04dc438223c2ca81d0318

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

Resolution
unresolved
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=sha256:72cfccf4a852467e1073a1f747dfb816a00c1b00520d0c9bcda88dad998c12cd

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

Resolution
unresolved
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:d48872da7b2664d4d68b3ae9e6693ced080a10e0cbb1b45b3cd4bcc4d8272f9c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:51.637129Z digest=sha256:903dac2d22d8353f406bb4deef426cb0a84e79649b3c44203c51dd80c216c0b2

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

Resolution
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:e1dd8ec240f5d25f1b474161935b6abc2e4b20157fad92d8395c1658cee5c75b

Observation e9b5e894-49bd-40f7-9b97-bae2e9db8703 · inbound

UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models cites this paper.

UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models Fusing finetuned models for better pretraining

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T16:57:13.451014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:57:13.451014Z digest=sha256:ebd11a8f18b31af42a945aeb952570f6a3f8b6af17d4cf60bcf11ef01171937b

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

Resolution
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:f9c7df353aa2d34525183d9fe1758f0e628c5dc6e79eafac99ba0ab39cfd6712

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T20:51:47.676754Z digest=sha256:bdff04d34b403d5b0000f585339479cdce6f15b92add1be98e660be93e69b787

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T07:04:54.909073Z digest=sha256:fa07d50e6b3745a0dbd1e2e0074fd6117ddbb35c36101575841720ca96ad87a4

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=sha256:536d4d578e75c74d09e32cda348e5e90d47ac9ff10a982ea903a92badc48c999

Observation 939c5c5d-0bef-4e7d-8f93-7135242bcb5d · inbound

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models cites this paper.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Fusing finetuned models for better pretraining

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:20.533940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.533940Z digest=sha256:c3691c20ff6bda98fbab4097d3a9352ed3af6d8f9ddf707655881c32b0041a95