Paper Citation Record · LEDGER

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 8 inbound Pith citation observations for arXiv:2506.16406.

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

pith.paper-citation-record.v1
2506.16406 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:34:22.339688Z

measured 73 of 73 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:32:08.472785Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

65 of 65 outbound references displayed

verified exact0
verified fuzzy31
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1971bd8c-992c-4ec4-b2cb-f3ccd32af80b · outbound

This paper cites GPT-4 Technical Report.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.118712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26f175a-6f5a-432f-8ad0-4f701e839ed5 · outbound

This paper cites ajibawa-2023/code-74k-sharegpt.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights ajibawa-2023/code-74k-sharegpt

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.975402Z

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.

Observation ebf5ab1d-175f-4797-a22d-76970b07cd6b · outbound

This paper cites Mathqa: Towards interpretable math word problem solving with operation-based formalisms.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Mathqa: Towards interpretable math word problem solving with operation-based formalisms

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.965693Z

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.

Observation 20a6187d-b98a-4a36-8273-322bd1e480c1 · outbound

This paper cites Qwen2.5-VL Technical Report.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Qwen2.5-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.130762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ab1458-1285-4508-8199-22aa831f6169 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Piqa: Reasoning about physical commonsense in natural language

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.134571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c2ae0c-03ec-4ad8-bdcf-5cae8d694261 · outbound

This paper cites Stochastic gradient learning in neural networks.NeuroNîmes, 1991.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Stochastic gradient learning in neural networks.NeuroNîmes, 1991

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.948898Z

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.

Observation 3fedca7f-3909-4271-918a-7ca13b173fa8 · outbound

This paper cites Code alpaca: An instruction-following llama model for code generation.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Code alpaca: An instruction-following llama model for code generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.141571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89b1b8a-92da-4910-8590-7f337f5ececa · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.144738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57986fed-baef-4208-bf6d-6f4bc397acf0 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.148554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea5cec8-cd57-4a30-a13a-537661e081bc · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.151565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81809b0d-8291-458a-afa4-c0aa3bc5ebba · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.155207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a660c95b-444e-4a73-b33f-17459141d3af · outbound

This paper cites Rosetta code — rosetta code,, 2022.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Rosetta code — rosetta code,, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.924482Z

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.

Observation 3f51f964-1540-44cb-850b-d2b35cba8353 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.161570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228992d9-1d95-4f07-9547-8c5d349502ee · outbound

This paper cites llama-python-codes-30k.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights llama-python-codes-30k

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.907347Z

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.

Observation 3e1d6dd4-40c6-4943-9688-10f259612045 · outbound

This paper cites flytech/python-codes-25k.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights flytech/python-codes-25k

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.897186Z

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.

Observation 4ed4b0be-9016-4a0c-a079-e1b2e15568b9 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.170883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c9a3a3d-6020-4db5-93d4-b6029d4b49b7 · outbound

This paper cites glaiveai/glaive-code-assistant-v2.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights glaiveai/glaive-code-assistant-v2

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.880183Z

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.

Observation 2fb58d5a-6e7d-4fa8-8e92-a040cd53972e · outbound

This paper cites The Llama 3 Herd of Models.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.177095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0691f9-d61a-4bb7-9d68-d4c4acda74f9 · outbound

This paper cites Practical variational inference for neural networks.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Practical variational inference for neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.870251Z

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.

Observation 930f1104-58d5-4eaf-aebf-b605f6505d78 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Mamba: Linear-time sequence modeling with selective state spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.185601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67a8fd0-d18f-41a8-bbd4-7e7b200e4bf9 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.188660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfac9e4d-0a5f-4f07-8cf2-5d31d805e477 · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Lora+: Efficient low rank adaptation of large models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.853993Z

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.

Observation 7ef1a077-338e-4f32-900f-b7e32af55ba1 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Measuring mathematical problem solving with the math dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.843467Z

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.

Observation dfa07161-167a-48fa-ae1e-27c08ebb28dd · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Lora: Low-rank adaptation of large language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.199078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bee8aa6-eb5a-4568-bf7e-4ba3b5aceeef · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.824665Z

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.

Observation 7b2a6507-9bb0-495e-b91b-75124e4b6c23 · outbound

This paper cites Conditional LoRA Parameter Generation.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Conditional LoRA Parameter Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.205133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7fa92be-9270-4893-96e9-c348203b544f · outbound

This paper cites ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.208637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79885d36-6748-4685-a23f-ac494418c82e · outbound

This paper cites Vilt: Vision-and-language transformer without convolution or region supervision.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Vilt: Vision-and-language transformer without convolution or region supervision

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.814105Z

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.

Observation 51afd320-f26b-4dcc-b738-758c218005f7 · outbound

This paper cites Auto-Encoding Variational Bayes.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Auto-Encoding Variational Bayes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.215367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85635aae-7983-4b91-9b38-eb6b1d7e56a2 · outbound

This paper cites Vera: Vector-based random matrix adaptation.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Vera: Vector-based random matrix adaptation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.803006Z

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.

Observation 9b5ee8d5-63fa-494e-ae39-91f4137459b2 · outbound

This paper cites Learning multiple layers of features from tiny images.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Learning multiple layers of features from tiny images

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.222028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986e48da-2dd9-4992-bc25-f06ccdb2ff4f · outbound

This paper cites Spoc: Search-based pseudocode to code.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Spoc: Search-based pseudocode to code

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.786194Z

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.

Observation 56b152ff-2b88-4e0b-ab45-be1557f58795 · outbound

This paper cites Lawalafeez/science-dataset.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Lawalafeez/science-dataset

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.775216Z

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.

Observation beb25af0-45a8-4f8a-9cc4-02bb95b86cde · outbound

This paper cites Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.231911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 835448ce-c6c2-4065-a19d-a17cf8338d86 · outbound

This paper cites DeepSeek-V3 Technical Report.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights DeepSeek-V3 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.235852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01293b44-61a1-4ec9-8c6a-3d582310c19e · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Dora: Weight-decomposed low-rank adaptation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.764630Z

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.

Observation 3c114a98-1d68-428d-b0be-83bf47d50c19 · outbound

This paper cites A decade’s battle on dataset bias: Are we there yet? InICLR, 2025.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights A decade’s battle on dataset bias: Are we there yet? InICLR, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.753603Z

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.

Observation f3780325-8228-4b70-9069-095ec6394c11 · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.246081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6dfeab6-0aba-4abe-a46d-060797b736a4 · outbound

This paper cites Wizardcoder: Empowering code large language models with evol-instruct.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Wizardcoder: Empowering code large language models with evol-instruct

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.736334Z

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.

Observation 8833f546-e17d-48ec-bd6b-a4e85b09b4bb · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.252959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77295c57-e3e6-4ea6-9a36-861efff377e8 · outbound

This paper cites Tot-math-v1.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Tot-math-v1

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.719808Z

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.

Observation 28119445-1df1-4f15-bd3f-a2fd4326643f · outbound

This paper cites Learning to Learn with Generative Models of Neural Network Checkpoints.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Learning to Learn with Generative Models of Neural Network Checkpoints

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.259885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 017f42b3-d573-4708-9c00-fb390ec02811 · outbound

This paper cites Glove: Global vectors for word representation.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Glove: Global vectors for word representation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.709372Z

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.

Observation 2fecdc93-82f6-46fb-9b14-d79a9c6bb5bf · outbound

This paper cites Math-iio-68k-mini.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Math-iio-68k-mini

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.698104Z

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.

Observation 471d4ed4-097c-4c70-ac30-de8ad6488d2a · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.JMLR, 21(140):1–67, 2020.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Exploring the limits of transfer learning with a unified text-to-text transformer.JMLR, 21(140):1–67, 2020

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.270407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5749d64-a80c-4921-a579-dc30e6cf7570 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Sentence-bert: Sentence embeddings using siamese bert- networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.273618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1fc2911-e3d0-4e93-900e-77105340bc78 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights High-resolution image synthesis with latent diffusion models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.276937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0663b0-d64d-4d81-86a3-3e3be3c1440c · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.664426Z

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.

Observation 19629d5c-8f81-4dd0-b73b-ca477964f63a · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Winogrande: An adversarial winograd schema challenge at scale

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.653633Z

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.

Observation 84fda953-d5b5-426c-a6a4-bfd7b213105d · outbound

This paper cites Hyper- representations for pre-training and transfer learning.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Hyper- representations for pre-training and transfer learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.643547Z

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.

Observation 54f35f69-9a9e-4e3a-84fb-7fca8e1b4907 · outbound

This paper cites Hyper-Representations for Pre-Training and Transfer Learning.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Hyper-Representations for Pre-Training and Transfer Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.289852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0560e1aa-0f1a-4cb1-ac51-a5712d307582 · outbound

This paper cites Towards scalable and versatile weight space learning.ICML, 2024.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Towards scalable and versatile weight space learning.ICML, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.632199Z

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.

Observation 6532e7aa-5df6-4183-8fbd-47258e0e725d · outbound

This paper cites Towards Scalable and Versatile Weight Space Learning.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Towards Scalable and Versatile Weight Space Learning

Reference 53

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Source-reported events for the cited work

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Observation 3898c5b2-f16a-46f0-a3ec-7267bc0ba67a · outbound

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Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Math-llava: Bootstrapping mathematical reasoning for multimodal large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.618650Z

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Observation be691cd7-fff0-4fd7-8b76-2c4ee865de7b · outbound

This paper cites Math-plus.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Math-plus

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.607010Z

Source-reported events for the cited work

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Observation 0525ed2f-02d2-4e64-bf31-6a2d922ecb9d · outbound

This paper cites Dylora: Parameter- efficient tuning of pre-trained models using dynamic search-free low-rank adaptation.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Dylora: Parameter- efficient tuning of pre-trained models using dynamic search-free low-rank adaptation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.595598Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3add8f2-319b-43c7-8ca8-19f31db80f4c · outbound

This paper cites Neural Network Diffusion.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Neural Network Diffusion

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.312097Z

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Observation 424c1453-6c6f-48aa-9a1f-9bbcb57d07f0 · outbound

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Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Recurrent Diffusion for Large-Scale Parameter Generation

Reference 58

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Observation cf0f1abc-dae2-4c67-bc75-7eb9476b63ff · outbound

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Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Measuring multimodal mathematical reasoning with math-vision dataset

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.583981Z

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Observation acbf0580-4f8a-40b6-abf4-78548ed5b6d5 · outbound

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Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Self-instruct: Aligning language models with self-generated instruc- tions

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.572687Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba00061d-c173-4eb8-9785-84f3aaaef195 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Chain-of-thought prompting elicits reasoning in large language models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.326140Z

Source-reported events for the cited work

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Observation fd2ab5f0-3270-420c-ad01-67c2bfd0463d · outbound

This paper cites Qwen2.5 Technical Report.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Qwen2.5 Technical Report

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.329620Z

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Observation 9ae844c9-8ccb-449a-9a1e-d1eb021f77c8 · outbound

This paper cites MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.332981Z

Source-reported events for the cited work

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Observation 0fc81ce2-a85d-49fe-9070-e8eebe8f5994 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InACL, 2019.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Hellaswag: Can a machine really finish your sentence? InACL, 2019

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.336506Z

Source-reported events for the cited work

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Observation 4febf2bc-affd-47e1-83b8-807ee2353125 · outbound

This paper cites Understanding bias in large-scale visual datasets.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Understanding bias in large-scale visual datasets

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:34:22.547012Z

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.

Pith citing papers

Observation bdfe6a8a-6a6b-4859-901f-31210825eca0 · inbound

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion cites this paper.

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 10

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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.

Observation d0fd2b36-02e9-4f42-89e1-6332c152a6fc · inbound

Delta Activations: A Representation for Finetuned Large Language Models cites this paper.

Delta Activations: A Representation for Finetuned Large Language Models Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T16:32:08.472785Z

Source-reported events for the cited work

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Observation 89834632-eb4a-4731-9e11-897ae6a66257 · inbound

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation cites this paper.

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 10

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Source-reported events for the cited work

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Observation 8a837564-e06f-4463-8fc0-1824bfc5830c · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 29

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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.

Observation 5288fe06-696d-4a67-a8c7-226409b14372 · inbound

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning cites this paper.

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 23

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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.

Observation 448198cf-7d3d-43d4-b9a5-4caf87b1ad95 · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.192410Z

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.

Observation 2c128321-9f51-4e83-aece-8f56f0e6371c · inbound

Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning cites this paper.

Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T18:44:06.107673Z

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.

Observation 5dd87627-6cc1-4354-bbe1-e53f944fb518 · inbound

HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models cites this paper.

HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-14T05:21:30.132993Z

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Unavailable: canonical work link unavailable.