Paper Citation Record · LEDGER

IterIS: Iterative Inference-Solving Alignment for LoRA Merging

As of 14 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2411.15231.

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

pith.paper-citation-record.v1
2411.15231 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:15:56.661198Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:13.023940Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:58:14.120986Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy33
unresolved25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 912d9887-06fe-470c-bd97-850490b90f97 · outbound

This paper cites An analysis of annotated corpora for emotion classification in text.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging An analysis of annotated corpora for emotion classification in text

Reference 1

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Observation f9088d3e-e9cb-41a0-96ba-39023c0ad8d6 · outbound

This paper cites Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.870849Z

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Observation 85877fd7-adaf-4ec4-aa8a-7e6c4f7c1ec2 · outbound

This paper cites Sherl: Synthesizing high accuracy and efficient memory for resource-limited transfer learning.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Sherl: Synthesizing high accuracy and efficient memory for resource-limited transfer learning

Reference 3

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Observation 50b38fa3-9915-418e-9b7f-12a29ef7d483 · outbound

This paper cites Unipt: Universal parallel tuning for trans- fer learning with efficient parameter and memory.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Unipt: Universal parallel tuning for trans- fer learning with efficient parameter and memory

Reference 4

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Observation 1aa4bb7d-ad11-4ebb-a280-1415801529f9 · outbound

This paper cites Automatically constructing a corpus of sentential paraphrases.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Automatically constructing a corpus of sentential paraphrases

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.506573Z

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Observation 37fb7416-0f54-4d6a-8bf1-708efae061dd · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 6

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Observation fafc3f26-0fae-46c8-afd1-139cf2b50ab9 · outbound

This paper cites Stylenet: Generating attractive visual captions with styles.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Stylenet: Generating attractive visual captions with styles

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.483396Z

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Observation 85252946-1f08-416a-aa0e-93742047ca26 · outbound

This paper cites Detect- ing emotion stimuli in emotion-bearing sentences.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Detect- ing emotion stimuli in emotion-bearing sentences

Reference 8

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Observation 1c0e8d5a-4aff-4ec3-98dd-7f75d3c36a6e · outbound

This paper cites The third pascal recognizing textual en- tailment challenge.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging The third pascal recognizing textual en- tailment challenge

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.420405Z

Source-reported events for the cited work

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Observation 0319f134-e0c5-44a2-b4aa-9ed321f7ebf2 · outbound

This paper cites Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.368831Z

Source-reported events for the cited work

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Observation a1322888-4396-4edd-877e-61d4f8b2aea3 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 11

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Observation 7f213572-0d0d-44fc-a5f1-e34f261453d2 · outbound

This paper cites Deep residual learning for image recognition.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Deep residual learning for image recognition

Reference 12

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Source-reported events for the cited work

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Observation 3791e928-d4a4-4282-8192-aed15551d24a · outbound

This paper cites On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

Reference 13

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Observation 98b83fe5-7aee-4fef-b0e9-7e3a5e97304c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

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Source-reported events for the cited work

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Observation c64ef311-057b-446d-9427-4972d1c91073 · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 15

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Observation 12991cd1-7488-4628-9ca0-9a716841e7fc · outbound

This paper cites Editing Models with Task Arithmetic.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Editing Models with Task Arithmetic

Reference 16

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Source-reported events for the cited work

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Observation e4f5d18d-da94-4fef-9641-308ce62f4da6 · outbound

This paper cites Vi- sual prompt tuning.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Vi- sual prompt tuning

Reference 17

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Source-reported events for the cited work

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Observation 18455c88-47c4-46e4-819e-bec3c06c16c8 · outbound

This paper cites Dataless Knowledge Fusion by Merging Weights of Language Models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Dataless Knowledge Fusion by Merging Weights of Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T15:15:56.238653Z

Source-reported events for the cited work

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Observation 08cba9fc-a6be-43fb-951c-f98ab2e2ecfc · outbound

This paper cites Adam: A Method for Stochastic Optimization.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Adam: A Method for Stochastic Optimization

Reference 19

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Source-reported events for the cited work

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Observation 06cafc74-2ebf-480b-ae42-b5532a53091b · outbound

This paper cites Diverse im- age captioning with grounded style.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Diverse im- age captioning with grounded style

Reference 20

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Observation 042b0db9-8ea4-49b1-987a-4c6b5154ed79 · outbound

This paper cites Multi-concept customiza- tion of text-to-image diffusion.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Multi-concept customiza- tion of text-to-image diffusion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:15:56.261040Z

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Observation b13eaf8d-cb7b-44f6-9149-eafd8d8cee62 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.239321Z

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Observation e5056454-f2e2-46b8-b95d-cc0b429df31c · outbound

This paper cites On the limited memory bfgs method for large scale optimization.Mathematical program- ming, 45(1):503–528, 1989.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging On the limited memory bfgs method for large scale optimization.Mathematical program- ming, 45(1):503–528, 1989

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.186881Z

Source-reported events for the cited work

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Observation 57189928-d585-4c74-9a10-2a951d0933d4 · outbound

This paper cites Visual instruction tuning.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Visual instruction tuning

Reference 24

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Observation acbf9965-271a-4de6-adf2-7467dd86134a · outbound

This paper cites Multi-Task Deep Neural Networks for Natural Language Understanding.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 25

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Observation f76e3399-e5be-474c-901c-99d8e0571c13 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 26

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Observation af96675c-9882-41b1-8df8-9fa7b91af2de · outbound

This paper cites Senticap: Generating image descriptions with sentiments.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Senticap: Generating image descriptions with sentiments

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.129317Z

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Observation 96bf5772-effc-438c-b8f8-45e39f8f47a7 · outbound

This paper cites Comparison of the predicted and ob- served secondary structure of t4 phage lysozyme.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Comparison of the predicted and ob- served secondary structure of t4 phage lysozyme

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.084935Z

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Observation 1b910bb3-57f0-495a-ba30-4ffe7e2ca498 · outbound

This paper cites # emotional tweets.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging # emotional tweets

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:58.044581Z

Source-reported events for the cited work

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Observation 4e72e30e-1cad-4a32-aeab-623118e6e6e6 · outbound

This paper cites WASSA-2017 Shared Task on Emotion Intensity.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging WASSA-2017 Shared Task on Emotion Intensity

Reference 30

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Observation 29e62663-874f-4135-8eb0-7059cd861e2b · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Bleu: a method for automatic evaluation of machine translation

Reference 31

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Observation 0ad3d20f-7deb-4445-8796-59ee4a2653ea · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 32

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Observation ccf436fe-1278-4f3e-ae3b-68f505b5eda0 · outbound

This paper cites LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks

Reference 33

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Observation 4a6d03c6-4ce0-4d69-a884-29b79843a024 · outbound

This paper cites Improving language understanding by gener- ative pre-training.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Improving language understanding by gener- ative pre-training

Reference 34

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Observation f73d24a8-33e4-4ccf-aeb7-f2834bd310b7 · outbound

This paper cites Language models are unsu- pervised multitask learners.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Language models are unsu- pervised multitask learners

Reference 35

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Observation e2b456da-4d0a-4664-a413-b057c7610cd1 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Learn- ing transferable visual models from natural language super- vision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.888365Z

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Observation 78cc9950-fe0c-4fd6-89dc-6dc7bb6251a3 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 37

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Observation 6222dd28-a6eb-41e9-a6da-6de37044a5d5 · outbound

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

IterIS: Iterative Inference-Solving Alignment for LoRA Merging High-resolution image syn- thesis with latent diffusion models

Reference 38

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Observation 71f324cb-32cc-4247-98c6-3ad1af6088fa · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 39

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Observation 89c77d85-3ccf-429f-8c5f-48de328d9d22 · outbound

This paper cites Evidence for univer- sality and cultural variation of differential emotion response patterning.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Evidence for univer- sality and cultural variation of differential emotion response patterning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.794853Z

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Observation ade8021e-366b-4727-a68d-7c91b8f55638 · outbound

This paper cites Sentiwordnet: A pub- licly available lexical resource for opinion mining.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Sentiwordnet: A pub- licly available lexical resource for opinion mining

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.752402Z

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Observation 215b2342-e9c4-44ff-89f7-522a7f8de3f7 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Ziplora: Any subject in any style by effectively merging loras

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.722119Z

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Observation 84aff7c3-58fa-4928-995a-472c99020cf5 · outbound

This paper cites Recursive deep models for semantic compositional- ity over a sentiment treebank.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Recursive deep models for semantic compositional- ity over a sentiment treebank

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.694576Z

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Observation af95dae8-673d-4c8c-9783-f1c8fde27b2c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging LLaMA: Open and Efficient Foundation Language Models

Reference 44

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Observation aa8f6844-addb-45bb-853d-de8c95d7beca · outbound

This paper cites Attention is all you need.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Attention is all you need

Reference 45

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Source-reported events for the cited work

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Observation 1b29bb63-a135-452d-ac02-184d57d80d60 · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Cider: Consensus-based image description evalua- tion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.643425Z

Source-reported events for the cited work

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Observation 6264a953-25b5-4a05-923d-6b350c5abacc · outbound

This paper cites Diffusers: State-of-the-art diffu- sion models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Diffusers: State-of-the-art diffu- sion models

Reference 47

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Observation eeb343be-b005-40d3-9c99-3f449473e2a8 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 48

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Observation 9f7209e9-2e64-4643-a59c-901a5d513caf · outbound

This paper cites Cola: The corpus of linguistic acceptability (with added an- notations).

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Cola: The corpus of linguistic acceptability (with added an- notations)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.591213Z

Source-reported events for the cited work

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Observation 5e821531-37a1-40fa-b965-25f2036871ed · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T15:15:56.553599Z

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Observation a2786386-f542-405e-a9c3-2f0b74f79fe1 · outbound

This paper cites Ties-merging: Resolving interference when merging models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Ties-merging: Resolving interference when merging models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.562717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9ad8cf3-4119-4301-97b7-6ac29756a2a1 · outbound

This paper cites Compos- ing parameter-efficient modules with arithmetic operation.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Compos- ing parameter-efficient modules with arithmetic operation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.534494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46a69715-4b85-4fe3-8989-420d4d74d61a · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T15:15:56.595663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbbc3a17-f1d4-4782-bbfe-7090db77cf33 · outbound

This paper cites Llamafac- tory: Unified efficient fine-tuning of 100+ language models.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Llamafac- tory: Unified efficient fine-tuning of 100+ language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.502449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2553e3c8-6dfb-467c-93c7-efef82df77ac · outbound

This paper cites Multi-LoRA Composition for Image Generation.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Multi-LoRA Composition for Image Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T15:15:56.632930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8f427c-d523-4318-bb74-294a00ecb936 · outbound

This paper cites Therefore, g−1(1) is entirely dependent on the input, indicating that these nodes and their corresponding matrices will remain unchanged in subsequent iterations.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging Therefore, g−1(1) is entirely dependent on the input, indicating that these nodes and their corresponding matrices will remain unchanged in subsequent iterations

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.466722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d2eee67e-6b6e-4c9e-bd1d-7cdf3ebe4d93 · outbound

This paper cites , k0 + 1}) and their associated matrices remain constant.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging , k0 + 1}) and their associated matrices remain constant

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.437978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f052cbc-d561-46d1-b430-3abc2c584a4b · outbound

This paper cites [adj n] n,.

IterIS: Iterative Inference-Solving Alignment for LoRA Merging [adj n] n,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:15:57.402952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation cb2e1199-6efc-4846-bf2a-042b7de54e16 · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging IterIS: Iterative Inference-Solving Alignment for LoRA Merging

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:13.023940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca78a43-ba85-44c4-8af8-b0955798fad6 · inbound

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance cites this paper.

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance IterIS: Iterative Inference-Solving Alignment for LoRA Merging

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:58:14.154516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9e4ec52-7567-41f8-bd3e-afeb423b7771 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models IterIS: Iterative Inference-Solving Alignment for LoRA Merging

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:48:48.156647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.