Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T11:57:18.311409Z
Paper Citation Record · LEDGER
Understanding Layer Patching in Model Size Interpolation
As of 21 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.08170.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact23
- verified fuzzy24
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7fa65313-406d-4a39-981d-59a5075baa5b · outbound
This paper cites Ainsworth, Jonathan Hayase, and Siddhartha S.
Understanding Layer Patching in Model Size Interpolation Ainsworth, Jonathan Hayase, and Siddhartha S
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.143545Z
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.
Observation a0ea91b2-635a-4a70-8766-ec940537e774 · outbound
This paper cites Pythia: A suite for analyzing large language models across training and scaling.
Understanding Layer Patching in Model Size Interpolation Pythia: A suite for analyzing large language models across training and scaling
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.136553Z
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.
Observation 1028b221-3d5d-4ef5-a449-8a63ce43d71e · outbound
This paper cites PIQA: reasoning about physical commonsense in natural language.
Understanding Layer Patching in Model Size Interpolation PIQA: reasoning about physical commonsense in natural language
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.150449Z
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.
Observation f9ed2c96-574f-4cb0-932b-d567d9f437b8 · outbound
This paper cites LL amaflex: Many-in-one LLM s via generalized pruning and weight sharing.
Understanding Layer Patching in Model Size Interpolation LL amaflex: Many-in-one LLM s via generalized pruning and weight sharing
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.141686Z
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.
Observation 00801676-17bb-4cbb-86e9-fb79b2a77fd8 · outbound
This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.
Understanding Layer Patching in Model Size Interpolation B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 5
- Resolution
- verified exact
- doi, observed 2026-07-10T12:07:03.406159Z
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.
Observation c609ea54-dbef-4602-9f80-fe77aabb2a95 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
Understanding Layer Patching in Model Size Interpolation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.715577Z
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.
Observation 337f662d-d850-45c0-a642-c4fa805e5ccf · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Understanding Layer Patching in Model Size Interpolation Training Verifiers to Solve Math Word Problems
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.728260Z
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.
Observation d5a81ca7-9983-49fe-aa9d-9bb79ee8dfab · outbound
This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.
Understanding Layer Patching in Model Size Interpolation BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 8
- Resolution
- verified exact
- doi, observed 2026-07-10T12:07:03.419449Z
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.
Observation 4df61d97-ead5-41cf-9f09-08c143b108f0 · outbound
This paper cites The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks.
Understanding Layer Patching in Model Size Interpolation The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.721928Z
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.
Observation 4f52c028-f2d0-41e2-a701-3bfb560b9886 · outbound
This paper cites Linear mode connectivity and the lottery ticket hypothesis.
Understanding Layer Patching in Model Size Interpolation Linear mode connectivity and the lottery ticket hypothesis
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.140126Z
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.
Observation 916bff3e-c7ba-40b0-b11a-10b879f95800 · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
Understanding Layer Patching in Model Size Interpolation The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.692701Z
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.
Observation 5c4da880-6d64-41af-a677-869b52d8132e · outbound
This paper cites Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, and Asaf Yehudai.
Understanding Layer Patching in Model Size Interpolation Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, and Asaf Yehudai
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-10T12:07:03.689822Z
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.
Observation 753d90a8-18aa-4def-b467-59b20b1889bc · outbound
This paper cites The Llama 3 Herd of Models.
Understanding Layer Patching in Model Size Interpolation The Llama 3 Herd of Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.698716Z
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.
Observation a28d987c-d547-4b51-8c11-3097845455d2 · outbound
This paper cites an unresolved cited work.
Understanding Layer Patching in Model Size Interpolation Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T12:07:04.173578Z
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.
Observation 396b39c4-fd39-4290-aa70-0aec6d4b60b5 · outbound
This paper cites Amc: Automl for model compression and acceleration on mobile devices.
Understanding Layer Patching in Model Size Interpolation Amc: Automl for model compression and acceleration on mobile devices
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.171845Z
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.
Observation e80836d8-51da-4e68-a284-87ea425abb64 · outbound
This paper cites Measuring massive multitask language understanding.
Understanding Layer Patching in Model Size Interpolation Measuring massive multitask language understanding
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.165695Z
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.
Observation 96cdab90-f6cf-468e-b328-f376721b2003 · outbound
This paper cites Measuring mathematical problem solving with the math dataset.
Understanding Layer Patching in Model Size Interpolation Measuring mathematical problem solving with the math dataset
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.161740Z
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.
Observation 0d3c99bc-ccd2-4db1-9db5-f38dbb6eb4da · outbound
This paper cites Rethinking layer relevance in large language models beyond cosine similarity.
Understanding Layer Patching in Model Size Interpolation Rethinking layer relevance in large language models beyond cosine similarity
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.147020Z
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.
Observation 5df3f66f-e3c1-411e-a3f8-a0262a8629ef · outbound
This paper cites Distilling the Knowledge in a Neural Network.
Understanding Layer Patching in Model Size Interpolation Distilling the Knowledge in a Neural Network
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.683139Z
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.
Observation 966089bb-212f-43c4-b41c-a9395960110d · outbound
This paper cites Training Compute-Optimal Large Language Models.
Understanding Layer Patching in Model Size Interpolation Training Compute-Optimal Large Language Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.712525Z
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.
Observation f87028e6-38f2-49b8-aa6c-3f5df5b83b12 · outbound
This paper cites Instruction-Following Pruning for Large Language Models.
Understanding Layer Patching in Model Size Interpolation Instruction-Following Pruning for Large Language Models
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T12:07:03.718737Z
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.
Observation 955e1785-d3d3-4122-b737-2a6bebb2019a · outbound
This paper cites O'Reilly Media, Inc.
Understanding Layer Patching in Model Size Interpolation O'Reilly Media, Inc
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.137997Z
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.
Observation e967fbe6-0336-40d8-942c-1efeeb80220f · outbound
This paper cites Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, and David Alvarez-Melis.
Understanding Layer Patching in Model Size Interpolation Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, and David Alvarez-Melis
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.130712Z
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.
Observation 3a864d06-6e24-4d30-b641-ad7edff167cb · outbound
This paper cites Scaling Laws for Neural Language Models.
Understanding Layer Patching in Model Size Interpolation Scaling Laws for Neural Language Models
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.680095Z
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.
Observation 81037bef-1336-407a-a0a6-79822c3263b6 · outbound
This paper cites Nayak, Jack Merullo, Stephen Bach, Chen Sun, and Ellie Pavlick.
Understanding Layer Patching in Model Size Interpolation Nayak, Jack Merullo, Stephen Bach, Chen Sun, and Ellie Pavlick
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.128645Z
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.
Observation 71f85d1c-61c9-435e-99dd-c373e392dcda · outbound
This paper cites doi: 10.18653/v1/D17-1082.
Understanding Layer Patching in Model Size Interpolation doi: 10.18653/v1/D17-1082
Reference 26
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T12:07:03.414162Z
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.
Observation 7014a3f6-b773-4718-9339-e4472f48ca7d · outbound
This paper cites Optimal brain damage.
Understanding Layer Patching in Model Size Interpolation Optimal brain damage
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.125328Z
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.
Observation 46aeb89d-b959-4661-92ee-299d1e2954e0 · outbound
This paper cites Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models.
Understanding Layer Patching in Model Size Interpolation Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.403700Z
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.
Observation 11a21545-5c0f-46a2-b918-614ac0053b22 · outbound
This paper cites an unresolved cited work.
Understanding Layer Patching in Model Size Interpolation Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T12:07:04.168909Z
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.
Observation 90b12f9b-e33d-4cf7-b36a-003f54b7a14f · outbound
This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.
Understanding Layer Patching in Model Size Interpolation ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.709115Z
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.
Observation c0c83fa9-16d7-4459-97ad-9f410b59bdc7 · outbound
This paper cites Pointer sentinel mixture models.
Understanding Layer Patching in Model Size Interpolation Pointer sentinel mixture models
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.167239Z
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.
Observation 910130a8-9205-4a55-a587-01cf979e16ec · outbound
This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.
Understanding Layer Patching in Model Size Interpolation Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 32
- Resolution
- verified exact
- doi, observed 2026-07-10T12:07:03.399735Z
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.
Observation e43197a6-6d1e-46d7-a9d5-460d6d5cbbd0 · outbound
This paper cites Compact language models via pruning and knowledge distillation.
Understanding Layer Patching in Model Size Interpolation Compact language models via pruning and knowledge distillation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T12:07:03.730788Z
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.
Observation 7b132166-c204-4744-93b2-d2d79b2bc26c · outbound
This paper cites Uniform convergence may be unable to explain generalization in deep learning.
Understanding Layer Patching in Model Size Interpolation Uniform convergence may be unable to explain generalization in deep learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.163433Z
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.
Observation c8d607ee-732a-49f1-80d1-4a60ab499cf0 · outbound
This paper cites Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin.
Understanding Layer Patching in Model Size Interpolation Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin
Reference 35
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T12:07:03.416931Z
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.
Observation 1749a420-2d00-45ca-bdac-d9112fb30bda · outbound
This paper cites Interpreting gpt: The logit lens, 2020.
Understanding Layer Patching in Model Size Interpolation Interpreting gpt: The logit lens, 2020
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.158984Z
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.
Observation d9efb753-9221-4597-9ff3-bf79d0fc9070 · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
Understanding Layer Patching in Model Size Interpolation Pytorch: An imperative style, high-performance deep learning library
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.157590Z
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.
Observation f467c4d1-40a4-4c87-9fbc-3761538652e1 · outbound
This paper cites Language models are unsupervised multitask learners.
Understanding Layer Patching in Model Size Interpolation Language models are unsupervised multitask learners
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.155515Z
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.
Observation 7bb48c76-fe0e-448c-938d-e0971d15cf0a · outbound
This paper cites Winogrande: An adversarial winograd schema challenge at scale.
Understanding Layer Patching in Model Size Interpolation Winogrande: An adversarial winograd schema challenge at scale
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.153986Z
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.
Observation 818d213d-fd37-4689-8ec3-c77440f943f6 · outbound
This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.
Understanding Layer Patching in Model Size Interpolation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.733882Z
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.
Observation c9366e22-2b15-4b23-85d0-cff50a68edaf · outbound
This paper cites Model fusion via optimal transport.
Understanding Layer Patching in Model Size Interpolation Model fusion via optimal transport
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.145067Z
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.
Observation 877f90ef-a88a-4e85-a253-d2047d6b52b8 · outbound
This paper cites LLM Pruning and Distillation in Practice: The Minitron Approach.
Understanding Layer Patching in Model Size Interpolation LLM Pruning and Distillation in Practice: The Minitron Approach
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.725405Z
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.
Observation 8caf3e99-830b-426d-bdcf-3042d6ce40f8 · outbound
This paper cites Zico Kolter.
Understanding Layer Patching in Model Size Interpolation Zico Kolter
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.152021Z
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.
Observation 0c607b40-756c-42cc-886f-327b08e4421b · outbound
This paper cites The bitter lesson.
Understanding Layer Patching in Model Size Interpolation The bitter lesson
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.148406Z
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.
Observation a602ef30-b476-4a5e-bae9-30870e69b951 · outbound
This paper cites Kimi K2.5: Visual Agentic Intelligence.
Understanding Layer Patching in Model Size Interpolation Kimi K2.5: Visual Agentic Intelligence
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.705479Z
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.
Observation 01e7f9c9-dd72-4663-8c18-dcb88f716180 · outbound
This paper cites Qwen3.5: Accelerating productivity with native multimodal agents, February 2026.
Understanding Layer Patching in Model Size Interpolation Qwen3.5: Accelerating productivity with native multimodal agents, February 2026
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.134828Z
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.
Observation 56f614f1-a074-4f79-a4f5-97883e2dea78 · outbound
This paper cites an unresolved cited work.
Understanding Layer Patching in Model Size Interpolation Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T12:07:04.132064Z
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.
Observation 42051977-8d06-48b6-808a-b3dcbc7f7dc0 · outbound
This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.
Understanding Layer Patching in Model Size Interpolation HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.695725Z
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.
Observation 02afb929-8c0b-43ed-86a9-c2fa3849fb7d · outbound
This paper cites Sheared llama: Accelerating language model pre-training via structured pruning.
Understanding Layer Patching in Model Size Interpolation Sheared llama: Accelerating language model pre-training via structured pruning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T12:07:04.127141Z
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.
Observation b494bd0b-3967-4ac7-8abc-bad887e620f5 · outbound
This paper cites Qwen3 Technical Report.
Understanding Layer Patching in Model Size Interpolation Qwen3 Technical Report
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.702530Z
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.
Observation 47529697-8b99-448c-92ac-cc6fe713462d · outbound
This paper cites Model merging in llms, mllms, and beyond: Methods, theories, applications, and opportunities.
Understanding Layer Patching in Model Size Interpolation Model merging in llms, mllms, and beyond: Methods, theories, applications, and opportunities
Reference 51
- Resolution
- verified exact
- doi, observed 2026-07-10T12:07:03.411619Z
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.
Observation f7c222e6-126e-4317-baa8-203ead158e93 · outbound
This paper cites URL https:// doi.org/10.18653/v1/p19-1472.
Understanding Layer Patching in Model Size Interpolation URL https:// doi.org/10.18653/v1/p19-1472
Reference 52
- Resolution
- verified exact
- doi, observed 2026-07-10T12:07:03.408743Z
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.
Observation 3dc41cbf-6610-45b7-9cf8-fa08de4600f8 · outbound
This paper cites FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.
Understanding Layer Patching in Model Size Interpolation FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.686574Z
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.
Observation 64a621ed-3d37-416d-bcdf-d08d691fb35c · outbound
This paper cites Instruction-Following Evaluation for Large Language Models.
Understanding Layer Patching in Model Size Interpolation Instruction-Following Evaluation for Large Language Models
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T12:07:03.675069Z
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.
Pith citing papers
No inbound Pith citation observations are available.