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Paper Citation Record · LEDGER

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness

As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.13479.

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

pith.paper-citation-record.v1
2506.13479 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:19.885217Z

measured 52 of 52 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2850f017-7c27-4abe-b435-6e9b8653d1ff · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.686127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.686127Z digest=sha256:8fd1328c34377c070fe0c0d82bebf940ed28214abd3c1405c873409def60d28b

Observation 8889645a-8335-483a-a720-e05868cfbcd4 · outbound

This paper cites Building machine learning models like open source software.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Building machine learning models like open source software

Reference 2

Resolution
verified exact
doi, observed 2026-08-15T20:08:19.949962Z

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=arxiv_source observed=2026-08-15T20:08:19.691463Z digest=sha256:72ca4bf0a15fd0c4d1bfeccb0638cc6bb1a02cb038063b89b2cce55d6a54cb1e

Observation 22a59b13-b843-417a-b380-f9f2f1bc5346 · outbound

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

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness LoRA: Low-Rank Adaptation of Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.696341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.696341Z digest=sha256:1a58d9e109d041cd911caa89515145c9f12c082123a7c09c85254c994150d147

Observation ce4666d2-36cc-4375-952d-0d350db4c864 · outbound

This paper cites A dapter H ub playground: Simple and flexible few-shot learning with adapters.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness A dapter H ub playground: Simple and flexible few-shot learning with adapters

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:08:19.701098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.701098Z digest=sha256:f9e420df2343600290b9f1ab72259f2cba5a53633b4ad0f58be4b52456bf7980

Observation 8fe03617-4179-4c18-881f-485fc3817c08 · outbound

This paper cites Lorahub: Efficient cross-task generalization via dynamic lora composition, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Lorahub: Efficient cross-task generalization via dynamic lora composition, 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.479382Z

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=arxiv_source observed=2026-08-15T20:08:19.705512Z digest=sha256:45919dedc24fdcfe7c6272f27ce44718e74ef4573ecf2aa907d8c87afa1f4c10

Observation 7640c7b8-84da-4044-8b97-a6a723a58d4b · outbound

This paper cites Merging loras like playing lego: Pushing the modularity of lora to extremes through rank-wise clustering, 2024 a.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Merging loras like playing lego: Pushing the modularity of lora to extremes through rank-wise clustering, 2024 a

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.468576Z

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=arxiv_source observed=2026-08-15T20:08:19.709387Z digest=sha256:312d695c14113a92d23beef7c59b3b2d3b395dbfdd33638ba1c9c6729ca09395

Observation 976c124b-eefb-4dc8-9e73-5b1fde71ec58 · outbound

This paper cites Towards modular LLM s by building and reusing a library of L o RA s.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Towards modular LLM s by building and reusing a library of L o RA s

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.456632Z

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=arxiv_source observed=2026-08-15T20:08:19.713489Z digest=sha256:4ec4b266e70690811837a2852ea7f8650c230746113e0dd9916d46adbb2a7fe7

Observation b07e32ec-ca6a-41f2-bee9-3ca75a716386 · outbound

This paper cites Lora soups: Merging loras for practical skill composition tasks, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Lora soups: Merging loras for practical skill composition tasks, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.444952Z

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=arxiv_source observed=2026-08-15T20:08:19.717526Z digest=sha256:304b6155e1beeae806734c410526857fd18c15a8b3eb853fbf13f67847e230f9

Observation a2eb55ed-5954-4c31-8e6f-6d682847239b · outbound

This paper cites L ora R etriever: Input-aware L o RA retrieval and composition for mixed tasks in the wild.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness L ora R etriever: Input-aware L o RA retrieval and composition for mixed tasks in the wild

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.721164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.721164Z digest=sha256:e8e9d214dbcdac1de1569834febfa6e19c6b607f60aefd82813eb3b9cba7ffb7

Observation 24b0e510-5286-4f6f-87f7-fa135bdef1ed · outbound

This paper cites A survey on model moerging: Recycling and routing among specialized experts for collaborative learning.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness A survey on model moerging: Recycling and routing among specialized experts for collaborative learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.432455Z

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=arxiv_source observed=2026-08-15T20:08:19.724700Z digest=sha256:6afa157e5deab5f5d5071d0772daec58eb9d826e8f9b074513649669de87ae2b

Observation 1aaf46c7-4271-4367-bc7e-3fb93f1a5497 · outbound

This paper cites Lori: Reducing cross-task interference in multi-task low-rank adaptation, 2025.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Lori: Reducing cross-task interference in multi-task low-rank adaptation, 2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.421681Z

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=arxiv_source observed=2026-08-15T20:08:19.728427Z digest=sha256:c82261ef3a338489206059f21a180d88dc70a6e9019dc47572012684d8c72374

Observation 30796c27-607a-40a9-81c3-b28c1306b6ec · outbound

This paper cites Realistic evaluation of model merging for compositional generalization, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Realistic evaluation of model merging for compositional generalization, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.409886Z

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=arxiv_source observed=2026-08-15T20:08:19.732151Z digest=sha256:63471e12730dbec1146f7cabedd0545a3d924b9bfd2fd621116ad46c4a12a2d6

Observation 7f0daa5b-6833-43f1-8e35-e64b444db321 · outbound

This paper cites Lima: Less is more for alignment.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Lima: Less is more for alignment

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.398143Z

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=arxiv_source observed=2026-08-15T20:08:19.735927Z digest=sha256:5c0ce5cb831d2dc835ca03f9f33be6f49359dbf78b3b0bdc9b6c568b180c039e

Observation dafa8c3e-14a7-495a-a8c5-4330931a62e0 · outbound

This paper cites Does fine-tuning llms on new knowledge encourage hallucinations?, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Does fine-tuning llms on new knowledge encourage hallucinations?, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.385027Z

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=arxiv_source observed=2026-08-15T20:08:19.739623Z digest=sha256:7eb5c6ea319734ec5684b8f51e8ab80dea5b94e553a94d6d68d024c56c2b42b6

Observation e49b2320-169e-4498-a34f-983551b37728 · outbound

This paper cites Understanding finetuning for factual knowledge extraction.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Understanding finetuning for factual knowledge extraction

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.373001Z

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=arxiv_source observed=2026-08-15T20:08:19.743119Z digest=sha256:ec2ed78f4c80d05bd9f2ed5b31e08dc56c2da958fb43c5c688d94d4edafda1a2

Observation 04e9d243-439e-4d2b-9adb-6c84f1649ee5 · outbound

This paper cites The expressive power of low-rank adaptation, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness The expressive power of low-rank adaptation, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.361724Z

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=arxiv_source observed=2026-08-15T20:08:19.746588Z digest=sha256:11d930c3e74f686114e1a96a611cd39a066073bd07edf2eb84b212d4722695e8

Observation 5583879c-8a10-47d0-9659-01c8a79c9a29 · outbound

This paper cites On the impact of fine-tuning on chain-of-thought reasoning, 2025.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness On the impact of fine-tuning on chain-of-thought reasoning, 2025

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.350987Z

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=arxiv_source observed=2026-08-15T20:08:19.751258Z digest=sha256:8f1f3268e566c25123bd8274740016e168afa30bf419015124beaf5762d91b92

Observation e83ab194-c62a-443f-bf48-c1fd4e42fc0a · outbound

This paper cites What is being transferred in transfer learning? In H.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness What is being transferred in transfer learning? In H

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.339385Z

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=arxiv_source observed=2026-08-15T20:08:19.755575Z digest=sha256:f01a1411889f72d6a3bd604a096688288b67c8982242ccaedd61df555771c250

Observation 65422918-78e6-4215-b94a-31b9612a6660 · outbound

This paper cites Editing models with task arithmetic, 2023.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Editing models with task arithmetic, 2023

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.759079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.759079Z digest=sha256:659c70470d41a883c8cd2ab45eea88f9fc0554018a04e141ed729561e2ef5c9a

Observation d1743337-60cc-423e-9321-057e0e5a0793 · outbound

This paper cites Raffel, and Mohit Bansal.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Raffel, and Mohit Bansal

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.319081Z

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=arxiv_source observed=2026-08-15T20:08:19.762907Z digest=sha256:4f2c618b58a5a944b5b8ee8cbf187292a965cfa473fb787feeb952a7e57569eb

Observation 9ae1c3e7-a57c-4743-97f6-877ec5f03343 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.306192Z

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=arxiv_source observed=2026-08-15T20:08:19.766383Z digest=sha256:edc0d8b26182d075ba4832d3a6f6a6661c498f05d272563552bac1077ab431ad

Observation c2ec3f5f-3b6d-44eb-8e3a-4fd75d7799bb · outbound

This paper cites Peters, Alexander Fraser, and Jesse Dodge.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Peters, Alexander Fraser, and Jesse Dodge

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.294933Z

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=arxiv_source observed=2026-08-15T20:08:19.769886Z digest=sha256:6faf0cc3cdb711b0f6d103b5011168304db3aa0f762c580918bea478ec240539

Observation 4d54ea53-5e20-4cdc-8a90-c3eb34bdffe6 · outbound

This paper cites Exploring the benefits of training expert language models over instruction tuning.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Exploring the benefits of training expert language models over instruction tuning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.284061Z

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=arxiv_source observed=2026-08-15T20:08:19.773818Z digest=sha256:3d25ff5e63545e6a907679d3b4283340086e49a7ad991aa919acf639dfc96a2d

Observation 100d4001-0e6b-4801-8c4a-c0a76d159cab · outbound

This paper cites Emergent Abilities of Large Language Models.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Emergent Abilities of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.777614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.777614Z digest=sha256:14d51661e9041e1b849808032efbda47b0684b0728c02efdbd605bc21a9856eb

Observation 1532daab-6d38-43c8-a6d7-2afc979904f8 · outbound

This paper cites Large language models are zero-shot reasoners.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Large language models are zero-shot reasoners

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.274105Z

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=arxiv_source observed=2026-08-15T20:08:19.782802Z digest=sha256:74ccd4a5f64219209294d91cc412ceddf77ee923b6c155ba9a94ead1ea0197e6

Observation 50e4691a-b8bf-4e05-9472-d37c61774650 · outbound

This paper cites Smith, Sarah Wiegreffe, and Yanai Elazar.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Smith, Sarah Wiegreffe, and Yanai Elazar

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.263288Z

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=arxiv_source observed=2026-08-15T20:08:19.786815Z digest=sha256:e50b18ed3e126f012bad252ebe59c9ec249866c2617a06ef58639bf6c319581a

Observation b7377b3b-b46d-407e-ba2f-f16e8d39a7f1 · outbound

This paper cites Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models, 2024

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.791452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.791452Z digest=sha256:8b72c38ec606fe22839809920685da1aa91275824fd3ad7173985d60b4c20b3e

Observation 5c48efd0-1dcb-4a71-b6ad-2ffc99a6a9d2 · outbound

This paper cites Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers, 2024

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.795170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.795170Z digest=sha256:2c641b8512f3c07535665470509c6f02ad90ee2dd77c94eb0513af85ff9ddb70

Observation 682010f1-407f-4587-b43b-2ad064ed47d1 · outbound

This paper cites Measuring and narrowing the compositionality gap in language models.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Measuring and narrowing the compositionality gap in language models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.798887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.798887Z digest=sha256:5cf0a7bdad856ebcc84884fbb29b07d582a7fb70a31d6b01b00a941f3b87d77b

Observation f4d864e0-5fce-4be8-976e-1fcaa29730ea · outbound

This paper cites The two-hop curse: Llms trained on a b, b c fail to learn a c, 2025.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness The two-hop curse: Llms trained on a b, b c fail to learn a c, 2025

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.239743Z

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=arxiv_source observed=2026-08-15T20:08:19.802412Z digest=sha256:45d6d61401ce39f66a8c1d8bbbc432a9f72b4141fa41d63cd112a48131f16d27

Observation 1c995144-02fc-4f8a-93c7-a19029331dc1 · outbound

This paper cites an unresolved cited work.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:08:20.227825Z

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=arxiv_source observed=2026-08-15T20:08:19.806609Z digest=sha256:b10163d3b76f7378369087f0c454937279613aac7d65a539c47e5f056f7a20d6

Observation 342748b0-8642-4995-8d66-85bd2a8006e4 · outbound

This paper cites Lee, and Alberto Bietti.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Lee, and Alberto Bietti

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.216952Z

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=arxiv_source observed=2026-08-15T20:08:19.810119Z digest=sha256:d0123a1f7d607ad821a80c88a51ad5359e074233a9657c7e65d7d57551f0f277

Observation c7be8e5d-4ff1-428e-b9a3-cbf83b134955 · outbound

This paper cites Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.204645Z

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=arxiv_source observed=2026-08-15T20:08:19.814759Z digest=sha256:61ec365e21ef3ff154c2f8d501a8e19888a0693af8d273498458d115072986ff

Observation ac8519a5-dd91-43f5-9365-641480a67ece · outbound

This paper cites Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:08:19.974609Z

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=arxiv_source observed=2026-08-15T20:08:19.818422Z digest=sha256:4fe48efb32e20d3c6a8adf5fd99e01644ab1dfff4c4487dda28d33aaefc85c80

Observation 493a4b07-8afb-49dd-9367-58ab38750806 · outbound

This paper cites The separation capacity of random neural networks.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness The separation capacity of random neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.193992Z

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=arxiv_source observed=2026-08-15T20:08:19.822288Z digest=sha256:c3a888b31c1ae3fc10352368aad04b3a6c82604f77d37ac9246dc03dac36661c

Observation 376d7d0a-6bc1-43de-b75c-d762c7a429a8 · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Transformer feed-forward layers are key-value memories

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.183353Z

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=arxiv_source observed=2026-08-15T20:08:19.826019Z digest=sha256:07a54a778b6aebafc29f3db32ef0262f405c1c9edd1462e4d03596f9dd87740a

Observation 5347df05-45f4-4db0-9fea-b24c1f840cb4 · outbound

This paper cites Locating and editing factual associations in gpt.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Locating and editing factual associations in gpt

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.830097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.830097Z digest=sha256:b963cfef48312df5565e6e8f391a4b010b6841b0b870272c72e81d23895a3043

Observation 6db2c59e-cd63-4885-911d-da463b09b88a · outbound

This paper cites Qwen2.5 technical report, 2025.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Qwen2.5 technical report, 2025

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.165733Z

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=arxiv_source observed=2026-08-15T20:08:19.833850Z digest=sha256:fb7efeafc55133f3afe0a919557d42e63556d1bff66e182daae22ee9c6cd249c

Observation 572d3dae-4511-48bb-9883-404a6234fb53 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.155487Z

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=arxiv_source observed=2026-08-15T20:08:19.837906Z digest=sha256:7b36f38106808beb9f8dbeec7bda254e03838dfb0a5c478a1e419c9994596e0c

Observation 15000c08-308f-450d-b5f5-b569b8764259 · outbound

This paper cites Dynamic cheatsheet: Test-time learning with adaptive memory, 2025.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Dynamic cheatsheet: Test-time learning with adaptive memory, 2025

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.144780Z

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=arxiv_source observed=2026-08-15T20:08:19.841531Z digest=sha256:10295f078100635e72c42f678f9c8ed70cb05992e9f195a4df4fdf25fd1b4e4e

Observation 6622d296-b7d3-42a4-82af-d16186d9eab5 · outbound

This paper cites Achieving >97.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Achieving >97

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.132952Z

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=arxiv_source observed=2026-08-15T20:08:19.845423Z digest=sha256:3a3e2c19af22e93505143ea96e4736d6184e4ad6e256980591572771c22b0d1f

Observation a9a240e0-fb4e-49c3-b2d6-19c9141c02fe · outbound

This paper cites Autogen: Enabling next-gen LLM applications via multi-agent conversations.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Autogen: Enabling next-gen LLM applications via multi-agent conversations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.120896Z

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=arxiv_source observed=2026-08-15T20:08:19.849121Z digest=sha256:27af02ae6331e0c7deda93fb5db94dc8b6031c7b6eb6a5d8ee5550afc574b13b

Observation f7f28ee9-c1e3-4b7d-a8dd-dedb1d2ba108 · outbound

This paper cites Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.852711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.852711Z digest=sha256:6c3901626e8216846da759137a7454291d66131a2ea1f1f5d78546b628ad3aa5

Observation cab3fd31-cbe0-4813-898f-603cf94d33b7 · outbound

This paper cites Improving lo RA in privacy-preserving federated learning.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Improving lo RA in privacy-preserving federated learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.100352Z

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=arxiv_source observed=2026-08-15T20:08:19.856880Z digest=sha256:af36f008b2b791176c343eb04c4167137c99e1bbba909d5d82091d739b8337f3

Observation 82042594-8f0c-43c7-90db-12ae04e211d7 · outbound

This paper cites PAL : Program-aided language models.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness PAL : Program-aided language models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.083852Z

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=arxiv_source observed=2026-08-15T20:08:19.860261Z digest=sha256:189551b43acca7cdee7d42cb85ac023e8054b5af91ac860dc757701740371349

Observation c810bfaa-d47d-4bd9-9fd7-22fa8718cc39 · outbound

This paper cites Continuous neural networks.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Continuous neural networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.071371Z

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=arxiv_source observed=2026-08-15T20:08:19.863689Z digest=sha256:5217b292414bb97ff871a7a82462bca9505394bf2cd1b7220ae1315f8450ec71

Observation 26f2fac3-cf15-4e1f-8152-146c7979346f · outbound

This paper cites Learning theory from first principles.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Learning theory from first principles

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.867260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.867260Z digest=sha256:985e6b691601685f2a78d59a044bb017f061a0b5713468a15e2cd7b42d587c16

Observation 378eec7f-cb18-45e4-a8cf-e10d2949b8f6 · outbound

This paper cites Multi-head adapter routing for cross-task generalization, 2023.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Multi-head adapter routing for cross-task generalization, 2023

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.047517Z

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=arxiv_source observed=2026-08-15T20:08:19.870893Z digest=sha256:0c57d46d1f179f0a5d2a6f0408ec80e7bffe0a4d89cdaecf983ded5c61b97e78

Observation 05f1e89b-1c29-4e24-8727-e46321089c67 · outbound

This paper cites Language and task arithmetic with parameter-efficient layers for zero-shot summarization, 2024.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Language and task arithmetic with parameter-efficient layers for zero-shot summarization, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.028751Z

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=arxiv_source observed=2026-08-15T20:08:19.874150Z digest=sha256:97401d099e5d2a433cd9e68e5db843caeab18673a790cf85c15ce195100b28f4

Observation b66342a1-fd4a-4d6e-bf35-711a7830421a · outbound

This paper cites Qwen2.5-math technical report: Toward mathematical expert model via self-improvement, 2024 b.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Qwen2.5-math technical report: Toward mathematical expert model via self-improvement, 2024 b

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:20.016568Z

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=arxiv_source observed=2026-08-15T20:08:19.877570Z digest=sha256:27c67cc8e45126d168950a8ee11c238dc3b9e537b6c6371cb26d1b9eb1040140

Observation 25ed87c5-0406-4c45-868a-412d3a3fe1e3 · outbound

This paper cites Training verifiers to solve math word problems, 2021.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Training verifiers to solve math word problems, 2021

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.881170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.881170Z digest=sha256:3f531c3aa451ca162f61c54eb0ae509719ae83122c4fdf2c20b22706e128782e

Observation 8a669774-a9ef-4d62-b1e5-578fc4adbe4a · outbound

This paper cites Open llm leaderboard, 2023.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Open llm leaderboard, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:08:19.997127Z

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=arxiv_source observed=2026-08-15T20:08:19.885217Z digest=sha256:584d8bd842970899ad672b544fc61f6649dc950b139ddd1f723264e4d9e2e72a

Pith citing papers

No inbound Pith citation observations are available.